Implementing Advance Care Planning: A Research Framework for Clinical Integration and System-Wide Adoption

Sophia Barnes Dec 03, 2025 161

This article provides a comprehensive framework for implementing advance care planning (ACP) in clinical and research settings, addressing the critical evidence-to-practice gap.

Implementing Advance Care Planning: A Research Framework for Clinical Integration and System-Wide Adoption

Abstract

This article provides a comprehensive framework for implementing advance care planning (ACP) in clinical and research settings, addressing the critical evidence-to-practice gap. Tailored for researchers, scientists, and drug development professionals, it synthesizes current evidence on ACP's evolution from a documentation-focused task to a holistic communication process. The content explores foundational theories, practical methodologies for real-world application, strategies for overcoming multi-level barriers, and tools for validating outcomes. By integrating implementation science models like PRISM and CFIR, this framework offers a structured approach to enhance ACP reach, effectiveness, and sustainability, ultimately supporting the development of more patient-centered care models and clinical trials.

The Evolving Paradigm of Advance Care Planning: From Documentation to Holistic Care Integration

Advance Care Planning (ACP) has undergone a significant conceptual transformation in recent years, moving from a static, document-focused exercise to a dynamic, communicative process. The conventional approach, centered on completing legal forms like advance directives, has demonstrated limited effectiveness in real-world clinical practice, with low completion rates and documents often failing to influence actual care decisions [1]. This evolution reflects an evidence-based recognition that high-quality ACP requires an iterative, relationship-based process of understanding patient values, goals, and preferences that can adapt to changing health circumstances [2]. Within implementation framework research, this paradigm shift necessitates fundamentally redesigned approaches that prioritize continuous communication over episodic documentation.

The implications for implementation science are profound. Successfully implementing this redefined ACP process requires multi-level strategies addressing patient, clinician, system, and technological factors. This article details specific application notes and experimental protocols to support researchers in developing, evaluating, and optimizing ACP implementations aligned with this contemporary understanding.

Application Notes: Evidence-Based Frameworks for Implementation

Conceptual Model for Continuous ACP Implementation

The following diagram illustrates the core components and workflow for implementing a continuous communication-based ACP process, synthesized from recent implementation studies.

Start Prerequisites & Readiness Recog Recognize Clinical Need Start->Recog Organizational commitment Conv Structured Conversation Recog->Conv Trigger identification Doc Document Values & Preferences Conv->Doc Conversation output Access Access & Apply in Care Doc->Access Information sharing Review Review & Update Access->Review Clinical encounter or status change Review->Recog Ongoing monitoring Review->Conv New priorities emerge

Quantitative Evidence for Implementation Strategies

Table 1: Efficacy of ACP Implementation Strategies in Primary Care (Adapted from [3])

Implementation Strategy Setting Pre-Implementation Reach (%) Post-Implementation Reach (%) Pre-Implementation Effectiveness (%) Post-Implementation Effectiveness (%)
Onsite ACP Coordinator Clinic A (PCMH) 43.6 53.6 (+10.0) 20.2 22.8 (+2.6)
Onsite ACP Coordinator + Lightning Report Clinic B (FQHC) 2.6 27.9 (+25.3) 1.9 18.4 (+16.5)

Table 2: Fidelity Assessment of ACP Implementation in Geriatric Hospital Units (Baseline) [4]

Fidelity Dimension Mean Score (1-5 scale) Standard Deviation Clinical Interpretation
Implementation Structures 1.21 0.08 Minimal system supports present
Process Quality 1.11 0.48 Practice largely inconsistent with guidelines
Penetration Rate 1.08 0.28 Reaches very small patient population

Core Components of the Communication-Focused ACP Process

The reconceptualized ACP process encompasses several evidence-based components that distinguish it from document-centered approaches:

  • Iterative Conversations: ACP involves structured but flexible discussions that occur over time, rather than a single documentation event [1]. These conversations explore values, goals, and treatment preferences in the context of the patient's current health status and future prognosis.

  • Health Care Professional Training: Evidence demonstrates that effective ACP implementation requires dedicated training for clinicians in communication skills, prognostic awareness, and managing uncertainty [5] [1]. Training typically incorporates role-playing, simulated conversations, and structured guides.

  • Structured Conversation Guides: Validated tools like the Serious Illness Conversation Guide (SICG) provide evidence-based frameworks for conducting goals-of-care discussions [5]. These guides typically include open-ended questions about patient understanding, information preferences, goals, fears, and acceptable function.

  • Systematic Documentation and Accessibility: While de-emphasizing standalone legal forms, the process requires reliable documentation of conversation outcomes in accessible formats (e.g., electronic health records) and systems that ensure this information is available across care settings [2].

  • Workflow Integration: Successful implementations embed ACP into routine clinical workflows rather than treating it as an exceptional activity, often through designated team roles (e.g., ACP coordinators) and clinical triggers [3].

Experimental Protocols for ACP Implementation Research

Protocol 1: Mixed-Methods Evaluation Using the RE-AIM Framework

Objective: To comprehensively evaluate the implementation of a continuous ACP intervention in primary care settings.

Methodology Overview: This protocol employs a convergent mixed-methods design guided by the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework [1]. Quantitative and qualitative data are collected simultaneously but analyzed separately, with integration during interpretation.

Detailed Procedures:

  • Participant Recruitment and Sampling:

    • Setting: Primary care practices serving diverse populations.
    • Provider Inclusion: General practitioners, nurses, and other clinical staff.
    • Patient Inclusion: Adults with chronic, life-limiting illness (e.g., advanced cancer, organ failure, frailty) for whom the provider "would not be surprised if they were to die in the next 12-24 months."
    • Sampling: Purposive sampling to ensure diversity in practice characteristics and patient populations.

  • Quantitative Data Collection:

    • Reach: Document number and proportion of eligible patients who participate; assess representativeness by comparing participants to non-participants on demographics and clinical characteristics.
    • Effectiveness: Measure patient ACP engagement using validated scales (e.g., 15-item ACP Engagement Survey); assess clinician self-efficacy with ACP Self-Efficacy (ACP-SE) scale at baseline, 3 months, and 6 months.
    • Adoption: Record proportion and representativeness of providers and practices willing to initiate the program.
    • Implementation: Monitor fidelity to intervention protocols through checklists; document adaptations made during implementation.
    • Maintenance: Assess individual-level outcomes at 6+ months; evaluate organizational institutionalization through policies and routine practices.

  • Qualitative Data Collection:

    • Conduct semi-structured interviews and focus groups with patients and providers post-intervention.
    • Develop interview guides with open-ended questions exploring experiences, barriers, facilitators, and perceived outcomes.
    • Audio-record, transcribe verbatim, and pseudonymize all qualitative data.

  • Data Analysis:

    • Quantitative: Use descriptive statistics for reach and adoption; employ generalized linear mixed models for effectiveness outcomes to account for clustering.
    • Qualitative: Apply content analysis through combined inductive and deductive approaches; develop coding trees; group overarching themes deductively according to RE-AIM dimensions.

Implementation Timeline: Recruitment (3 months) → Baseline assessment (1 month) → Intervention delivery (6 months) → Follow-up assessments (3 months post-baseline) → Qualitative data collection (2 months) → Analysis (3 months).

Protocol 2: Pragmatic Trial of ACP Coordinator Model

Objective: To evaluate the effectiveness of an onsite ACP coordinator with rapid process improvement in enhancing ACP reach and effectiveness.

Methodology Overview: This protocol uses a multi-stage, mixed-methods approach guided by the PRISM (Practical, Robust Implementation and Sustainability Model) framework [3], comparing outcomes before and after implementation.

Detailed Procedures:

  • Setting and Participants:

    • Conduct the study in primary care clinics serving predominantly underrepresented populations.
    • Include all patients aged 65+ attending the clinics during baseline and implementation periods.

  • Intervention Components:

    • Onsite ACP Coordinator: A dedicated staff member (e.g., social worker, nurse) responsible for identifying eligible patients, facilitating ACP conversations, completing documentation, and following up.
    • Lightning Report Method: A rapid qualitative feedback process involving:
      • Preplanning and developing data collection protocols
      • Conducting iterative staff interviews and focus groups (approximately 4 cycles over 2 years)
      • Rapid synthesis of findings immediately after data collection
      • Creating and disseminating concise reports to clinic leadership and staff
      • Collaborative development of workflow adaptations

  • Measures and Data Collection:

    • Extract quantitative data from electronic medical records at 6-month intervals:
      • Reach: Proportion of eligible patients with ACP discussion documented
      • Effectiveness: Proportion with completed ACP documentation in record
    • Collect qualitative data through:
      • Staff interviews and focus groups exploring implementation barriers and facilitators
      • Field notes from Lightning Report sessions

  • Analysis Approach:

    • Quantitative: Use statistical process control charts to visualize changes over time; calculate absolute percentage point changes in reach and effectiveness.
    • Qualitative: Map barriers and facilitators to PRISM domains (recipients, organization, implementation infrastructure, external environment).
    • Integration: Jointly display quantitative outcomes with qualitative themes to explain mechanisms of effect.

Implementation Timeline: Baseline data collection (12 months) → Barrier identification (3 months) → Intervention implementation (12 months) → Ongoing evaluation and adaptation (12 months).

Table 3: Essential Research Instruments for ACP Implementation Studies

Research Tool Type/Format Primary Application Key Characteristics Validation
ACP Engagement Survey 15-item patient questionnaire Measuring patient activation and behavior in ACP process Assesses knowledge, contemplation, self-efficacy, readiness Validated in diverse populations [1]
ACP Self-Efficacy (ACP-SE) Scale Clinician-reported measure Assessing clinician confidence in ACP skills Evaluates communication, facilitation, and management skills Developed and validated with healthcare providers [1]
Serious Illness Conversation Guide (SICG) Structured conversation framework Standardizing patient-clinician ACP discussions Evidence-based; covers setting up conversation, assessing understanding, sharing information, exploring values Iteratively developed with clinician and patient input [5]
ACP Fidelity Scale Multi-component implementation measure Evaluating implementation fidelity across sites Three subscales: implementation structures, process quality, penetration rate Preliminary testing shows acceptable internal consistency (Cronbach's alpha 0.887 for quality subscale) [4]
PRISM Framework Implementation science framework Designing and evaluating context-sensitive implementations Expands RE-AIM with multi-level contextual factors; emphasizes implementation and sustainability infrastructure Applied in primary care ACP research [3]

Implementation Workflow for Digital ACP Systems

The movement toward continuous ACP communication increasingly incorporates digital solutions. The following diagram outlines the implementation workflow for Digital ACP (DACP) systems, based on research across multiple care settings.

SystemDesign System Design & Prerequisites RecognizeNeed Recognize Clinical Need SystemDesign->RecognizeNeed Technical & cultural infrastructure Conversation Have ACP Conversation RecognizeNeed->Conversation Clinical triggers & screening Document Document in DACP System Conversation->Document Conversation outputs AccessAction Access & Action Decisions Document->AccessAction Information sharing protocols Evaluate Evaluate & Update AccessAction->Evaluate Clinical encounters Evaluate->SystemDesign System refinement needs Evaluate->Conversation Changed preferences

The redefinition of ACP as a continuous communication process rather than a documentation event represents a fundamental shift with significant implications for implementation science. The application notes and experimental protocols detailed herein provide researchers with evidence-based frameworks for developing, evaluating, and optimizing ACP implementations aligned with this contemporary paradigm.

Critical research gaps remain, particularly regarding optimal strategies for sustaining ACP practices, effectively implementing digital ACP systems across care settings, and measuring the quality of ACP conversations beyond mere occurrence or documentation. Future implementation research should prioritize longitudinal designs that capture the iterative nature of ACP, mixed-methods approaches that elucidate implementation mechanisms, and pragmatic trials that test implementation strategies across diverse clinical contexts and patient populations.

Advance care planning (ACP) is a process that supports individuals in understanding and sharing their personal values, life goals, and preferences regarding future medical care [6]. Effective ACP implementation remains a significant challenge in healthcare, often characterized by low uptake and completion rates [7] [2]. This application note explores the integration of two key conceptual models to address this challenge: the Transtheoretical Model of Behavior Change (TTM) and the Care Planning Umbrella framework. The TTM provides a structured approach to understanding and facilitating individual readiness for behavior change, which is fundamental to engaging patients in ACP discussions [8] [9]. Meanwhile, the Care Planning Umbrella offers a comprehensive model for conceptualizing the evolution and implementation of ACP within healthcare systems [10]. Synthesizing these models offers a robust framework for researchers and healthcare professionals aiming to enhance ACP implementation across diverse clinical settings.

Conceptual Foundations

The Transtheoretical Model of Behavior Change (TTM)

The TTM is an integrative, biopsychosocial model that conceptualizes intentional behavior change as a process that unfolds over time, involving progression through a series of stages [11] [9]. Unlike action-oriented models, the TTM recognizes that individuals vary in their readiness to change and provides stage-matched strategies to facilitate progression [11]. The model's core constructs include the Stages of Change, Processes of Change, Decisional Balance, and Self-Efficacy [11] [12].

The model's relevance to ACP is well-established. Research has demonstrated that core TTM constructs can be reliably measured in the context of ACP and that their relationships replicate patterns posited by the model [8]. Specifically, the progression through ACP behaviors, such as completing living wills, designating healthcare proxies, and engaging in conversations about treatment preferences, follows the same stage-sequential pattern observed in other health behaviors [8].

The Care Planning Umbrella

The Care Planning Umbrella represents the evolution of ACP from a document-focused activity to a broader, communication-centered process [10]. This model emphasizes that effective ACP must prepare patients and their surrogates for in-the-moment decision making, rather than solely focusing on completing advance directives [8] [10]. Contemporary conceptions of ACP under this umbrella include identifying patient values, reflecting on the meanings of serious illness, defining goals and preferences, and discussing these with family and healthcare providers [2].

The integration of the TTM within the Care Planning Umbrella framework offers a powerful approach to ACP implementation. While the Care Planning Umbrella outlines what ACP entails, the TTM provides a theoretical foundation for understanding how individuals engage with this process and how interventions can be tailored to their readiness level [8].

Core TTM Constructs and Their Application to ACP

Stages of Change

The Stages of Change construct represents the temporal dimension of behavior change, describing a progression through five or six distinct stages [11] [9] [12]. The quantitative definitions of these stages provide a framework for assessing an individual's readiness for ACP engagement.

Table 1: Stages of Change in the Transtheoretical Model

Stage Temporal Definition Individual's Stance Regarding ACP Appropriate Intervention Focus
Precontemplation No intention to act in the next 6 months [11] [9] Not thinking about ACP; may be unaware of its importance or discouraged by prior attempts [11] [8] Increase awareness of ACP benefits; provide factual information about the process [12]
Contemplation Intends to act within the next 6 months [11] [9] Weighing the pros and cons of engaging in ACP; aware of benefits but also barriers [11] Resolve ambivalence; emphasize benefits of ACP; explore and address perceived barriers [12]
Preparation Intends to act within the next 30 days [11] [9] Has taken small steps toward ACP (e.g., gathered information) but has not fully engaged [11] Support development of a concrete action plan; facilitate small commitment steps [12]
Action Has changed behavior within the past 6 months [11] [9] Has actively engaged in ACP behaviors (e.g., had discussions, completed documents) [8] Strengthen commitment; develop coping strategies for challenges; reinforce positive steps [12]
Maintenance Sustained behavior change for at least 6 months [11] [9] Continues to engage in ACP as needed (e.g., updates documents, revisits conversations) [8] Prevent relapse; support integration of ACP into ongoing healthcare communication [12]
Termination/Relapse Not a formal stage; represents recycling through stages [12] May disengage from ACP after initial action or need to revisit earlier stages [11] Normalize recycling; provide renewed support for re-engagement [11]

It is important to note that progression through these stages is often nonlinear, with individuals frequently recycling through stages or regressing to earlier stages from later ones [11] [9]. This nonlinear progression is particularly relevant in ACP, where changes in health status or personal circumstances may necessitate revisiting earlier stages of the process.

Processes of Change

The Processes of Change are the covert and overt activities that individuals use to progress through the stages of change [11] [12]. These processes are categorized as either experiential (cognitive and affective) or behavioral [11]. Each category of processes is particularly relevant at specific stages of change.

Table 2: Processes of Change Applied to ACP

Process Category Specific Process Application to ACP Most Relevant Stages
Experiential Processes Consciousness Raising Increasing knowledge about ACP through education, personal feedback [11] [12] Precontemplation, Contemplation [8]
Dramatic Relief Arousing emotions about consequences of not having ACP or feeling hope from success stories [11] [12] Precontemplation, Contemplation [8]
Environmental Reevaluation Realizing how one's current and future healthcare decisions affect family and loved ones [11] [12] Contemplation [8]
Self-Reevaluation Reflecting on what it means to be a person who has planned for future healthcare needs [8] [12] Contemplation, Preparation [8]
Social Liberation Recognizing increasing societal support for ACP and patient autonomy [11] [12] Contemplation, Preparation [8]
Behavioral Processes Self-Liberation Making a commitment to engage in ACP and believing in one's ability to do so [8] [12] Preparation, Action [8]
Helping Relationships Seeking support from trusted individuals (family, providers) for ACP engagement [8] [12] Preparation, Action, Maintenance [8]
Counter-conditioning Substituting ACP behaviors for avoidance behaviors (e.g., having conversation rather than postponing) [11] [12] Action, Maintenance [8]
Reinforcement Management Rewarding oneself for steps taken in ACP process [11] [12] Action, Maintenance [8]
Stimulus Control Removing cues that trigger avoidance of ACP; adding prompts that encourage engagement [11] [12] Action, Maintenance [8]

Research has demonstrated that these processes can be reliably measured in the context of ACP and that their use varies systematically across the stages of change [8]. Specifically, experiential processes tend to be used more frequently in earlier stages, while behavioral processes predominate in later stages [8].

Decisional Balance and Self-Efficacy

Decisional Balance and Self-Efficacy are two additional core constructs of the TTM that play critical roles in behavior change.

Decisional Balance involves the weighing of the pros and cons of changing behavior [11] [9]. In Precontemplation, the cons of ACP typically outweigh the pros [11] [8]. As individuals progress to Contemplation, the pros and cons carry approximately equal weight, creating ambivalence [11] [9]. In later stages, the pros outweigh the cons, supporting sustained engagement in ACP [11] [8]. Research with older adults has shown that the pros of ACP include items such as "relieving burden on family" and "ensuring wishes are followed," while cons include "thinking about death and dying" and "not wanting to burden family with difficult decisions" [8].

Self-Efficacy reflects an individual's confidence in their ability to maintain behavior change in challenging situations [11] [9]. In ACP, this includes confidence to engage in discussions about end-of-life preferences, complete relevant documents, and revisit decisions as needed. Self-efficacy typically increases as individuals progress through the stages of change [9]. For ACP, this might involve building confidence to initiate conversations with family members or healthcare providers about care preferences.

G TTM Stage Progression in Advance Care Planning PC Precontemplation (Not ready) C Contemplation (Getting ready) PC->C Consciousness Raising Dramatic Relief PR Preparation (Ready) C->PR Self-Reevaluation Environmental Reevaluation A Action PR->A Self-Liberation Helping Relationships M Maintenance A->M Counter Conditioning Reinforcement Management R Relapse/Recycling A->R Setbacks M->R Triggers R->PC Discouragement R->C Renewed Consideration R->PR Recommitment

Experimental Protocols for TTM-Based ACP Research

Protocol 1: Developing and Validating TTM Measures for ACP

This protocol outlines methodology for developing reliable and valid measures of TTM constructs specifically for ACP research, based on established scale development techniques [8].

Objective: To develop measures representing key TTM constructs (Decisional Balance, Processes of Change, Self-Efficacy) as applied to ACP that demonstrate high reliability and validity.

Materials:

  • Participant recruitment materials targeting population of interest (e.g., older adults in primary care)
  • Audio recording equipment for focus groups
  • Cognitive interviewing guides
  • Statistical software for factor analysis and reliability testing (e.g., SPSS, R)

Procedure:

  • Item Development: Conduct literature review and focus groups to identify potential items for each construct [8].
  • Expert Panel Review: Convene panel of ACP and TTM experts to assess content validity of drafted items [8].
  • Pilot Testing: Administer draft measures to small sample (e.g., n=12) from target population using cognitive interviewing to improve item clarity [8].
  • Scale Refinement: Revise items based on pilot feedback.
  • Psychometric Testing: Administer refined measures to larger sample (e.g., n=304) for factor analysis and reliability testing [8].
  • Validation: Examine relationships between TTM constructs and stages of change to establish construct validity [8].

Outcome Measures:

  • Factor loadings for each item (>0.5 desirable)
  • Internal consistency (Cronbach's alpha >0.7 acceptable, >0.8 good)
  • Construct validity through MANOVA examining scores on TTM constructs across stages of change [8]

Protocol 2: Assessing ACP Implementation Fidelity

This protocol describes methodology for evaluating the implementation of ACP using a fidelity scale, applicable across healthcare settings [6].

Objective: To comprehensively assess the degree of ACP implementation in clinical settings using a multi-dimensional fidelity scale.

Materials:

  • ACP Fidelity Scale (implementation, quality, and penetration rate subscales) [6]
  • Data collection forms for unit characteristics
  • Statistical software for descriptive statistics and reliability analysis

Procedure:

  • Recruitment: Use purposive sampling to recruit clinical units (e.g., 12 geriatric hospital units) [6].
  • Training: Train raters in standardized application of the fidelity scale.
  • Data Collection:
    • Collect unit characteristics (type, catchment population, staffing levels) [6].
    • Administer implementation subscale (assesses implementation measures in place).
    • Administer quality subscale (assesses whether ACP is practiced according to guidelines).
    • Administer penetration rate subscale (assesses how widespread ACP practice is) [6].
  • Scoring: Score each item from 1 (no implementation) to 5 (full implementation).
  • Analysis: Calculate descriptive statistics for each subscale and assess interrater reliability [6].

Outcome Measures:

  • Mean scores for implementation, quality, and penetration rate subscales
  • Standard deviation and range for each subscale
  • Intraclass Correlation Coefficient for interrater reliability [6]

Table 3: ACP Fidelity Scale Assessment Domains

Subscale Assessment Focus Example Items Scoring Approach
Implementation Organizational measures to support ACP implementation Staff training in ACP; Availability of ACP materials; System for documenting ACP discussions 1-5 scale based on presence and quality of implementation strategies [6]
Quality Adherence to ACP practice guidelines Patient-centered communication; Exploration of values and preferences; Documentation quality 1-5 scale based on adherence to guideline recommendations [6]
Penetration Rate Extent of ACP adoption in patient population Percentage of eligible patients with ACP documentation; Distribution across patient demographics 1-5 scale based on percentage of target population reached [6]

Implementation Framework: Integrating TTM with the Care Planning Umbrella

The integration of the TTM with the Care Planning Umbrella creates a comprehensive framework for ACP implementation that addresses both individual readiness and systemic factors. The visual below illustrates how these models can be integrated throughout the implementation process.

G Integrated ACP Implementation Framework cluster_0 Care Planning Umbrella: Implementation Phases cluster_1 TTM-Tailored Interventions P1 System Design & Prerequisites P2 Recognition of Clinical Need P1->P2 T1 Precontemplation: Education & Awareness P1->T1 P3 Conversations & Documentation P2->P3 P2->T1 T2 Contemplation: Addressing Ambivalence P2->T2 P4 Accessing & Actioning P3->P4 P3->T2 T3 Preparation: Action Planning P3->T3 P5 Evaluation & Amendment P4->P5 P4->T3 T4 Action/Maintenance: Supporting Behavior P4->T4 P5->T1 Feedback Loop P5->T4 T1->T2 T2->T3 T3->T4

Digital ACP Implementation Considerations

Contemporary ACP implementation increasingly involves digital systems (DACP) for documentation and sharing of care preferences [2]. Research has identified twenty evidence-based recommendations for optimizing DACP implementation, which align with the integrated TTM-Care Planning Umbrella framework [2]. Key considerations include:

  • End-User Focus: Prioritize needs and experiences of patients, carers, and healthcare professionals throughout system design and implementation [2].
  • Information Exchange: Ensure DACP systems support seamless information exchange across care settings involved with patients with life-limiting conditions [2].
  • Professional Engagement: Develop approaches to target health and care professional engagement with DACP systems [2].
  • Patient Access: Develop and evaluate patient and carer access to DACP systems [2].

The Researcher's Toolkit

Table 4: Essential Research Reagents and Tools for TTM-ACP Investigation

Tool/Resource Function/Application Key Features Implementation Considerations
TTM-ACP Measures Assess stage of change, decisional balance, processes of change, self-efficacy specific to ACP [8] Validated scales for ACP behaviors; High internal consistency (α=.76-.93) [8] Requires cultural and population-specific validation; Available in multiple languages
ACP Fidelity Scale Measure implementation fidelity across clinical settings [6] Three subscales: implementation, quality, penetration; 5-point scoring system [6] Requires rater training; Provides comprehensive implementation assessment
Digital ACP (DACP) Systems Digital platforms for ACP documentation and sharing [2] Real-time documentation; Information sharing across settings; Standardized templates [2] Must support interoperability; User-friendly interface essential
Knowledge-to-Action (KTA) Framework Guide implementation science approach to ACP [7] Iterative action cycle; Multi-level partnership engagement [7] Useful for translating ACP evidence into practice
Theory of Change Workshops Develop conceptual models for ACP implementation [2] Engages multiple stakeholders; Identifies implementation pathways [2] Resource-intensive; Requires skilled facilitation

The integration of the Transtheoretical Model of Behavior Change with the Care Planning Umbrella provides a robust framework for advancing ACP implementation research and practice. The TTM offers a theoretically grounded approach to understanding and facilitating individual engagement with ACP, while the Care Planning Umbrella provides the structural framework for implementing ACP within healthcare systems. Together, these models address both the psychological processes of behavior change and the systemic factors that influence successful implementation.

For researchers and healthcare professionals, this integrated approach offers practical strategies for tailoring ACP interventions to individual readiness levels while building organizational capacity to support ACP processes. The experimental protocols and assessment tools outlined in this application note provide methodological guidance for advancing this important field of study, with the ultimate goal of ensuring that patient care aligns with personal values and preferences throughout the healthcare continuum.

Advance care planning (ACP) is a process that supports individuals in understanding and sharing their personal values, life goals, and preferences regarding future medical care [6]. When effectively implemented, ACP ensures people receive medical care consistent with their values and preferences, improving care quality and reducing family member anxiety [13]. Despite recognized benefits, significant disparities persist in ACP uptake among underserved and marginalized populations, including racial and ethnic minorities, those with lower socioeconomic status, and individuals with cognitive impairment [14] [15] [16].

This application note synthesizes current evidence on ACP disparities, presents quantitative data on implementation gaps, and provides structured protocols for researchers investigating equitable ACP implementation frameworks. The content is specifically contextualized within a broader thesis on ACP implementation framework research, addressing the critical need for standardized methodologies in this domain.

Quantitative Landscape of ACP Disparities

Recent studies consistently demonstrate unequal ACP uptake across population subgroups. The following tables summarize key quantitative findings on disparities in ACP documentation and implementation.

Table 1: Disparities in Advance Directive Completion by Sociodemographic Factors (2014 HRS Data)

Characteristic Subgroup Living Will (%) DPOAH (%) Both Documents (%)
Overall - 52.4 53.8 45.6
Cognition Status Normal cognition 54.2 54.2 47.5
Dementia/Impaired cognition 46.2 50.6 38.7
Race White 56.1 56.3 49.2
Black 37.2 41.5 29.8
Other 40.1 45.3 33.1
Ethnicity Non-Hispanic 54.3 54.9 47.1
Hispanic 33.9 41.9 27.5
Education > High school 62.5 61.8 55.3
≤ High school 44.3 47.6 37.6
Rurality Urban 53.5 54.6 46.5
Rural 47.9 50.3 40.1

Source: Analysis of 2014 Health and Retirement Study (HRS) data (n=17,698) [16]

Table 2: Recent Intervention Outcomes and Disparities in ACP Implementation

Study/Context Population Intervention Key Outcome Disparity Finding
SHARING Choices Trial (2021-2022) 64,915 adults ≥65 years [15] Structured ACP with trained facilitators New EHR documentation: 12% (intervention) vs 6.6% (control) Black patients and those with dementia had lower documentation despite targeted efforts
Norwegian Geriatric Units (Baseline) 12 acute geriatric hospital units [6] ACP Fidelity Scale assessment Mean implementation score: 1.21/5.0 Only 10% of admitted geriatric patients had received ACP
Quality Improvement Initiative (2024-2025) Older adults in geriatrics clinic [17] Patient education and provider communication Increased AD completion Focus needed on underserved populations with lower baseline rates

Table 3: Digital ACP Implementation Complexities Using NASSS Framework

NASSS Domain Complexity Level Key Findings for ACP Implementation
Condition Complicated Broad target population (all adults) versus specific clinical needs [18]
Technology Simple Straightforward web-based technology, but digital literacy limitations exist [18]
Value Proposition Simple Positive value for stakeholders who engage, but limited awareness [2] [18]
Adopters Complex Healthcare professionals slow to adopt; variable patient engagement across demographics [2] [18]
Organization Complicated Requires workflow integration, training, and champion engagement [2]
External Context Complicated Policy support exists but funding and infrastructure variable [2]
Embedding & Adaptation Complex Sustained engagement requires ongoing adaptation and resource commitment [2] [18]

Conceptual Framework of ACP Implementation Barriers

The following diagram illustrates the multifaceted barriers contributing to ACP disparities and their interrelationships, synthesized from current research findings:

G ACP_Disparities ACP Disparities in Underserved Populations Patient_Level Patient-Level Barriers ACP_Disparities->Patient_Level System_Level System-Level Barriers ACP_Disparities->System_Level Provider_Level Provider-Level Barriers ACP_Disparities->Provider_Level Sociocultural_Level Sociocultural Barriers ACP_Disparities->Sociocultural_Level PL1 Limited ACP awareness/knowledge Patient_Level->PL1 PL2 Low health/digital literacy Patient_Level->PL2 PL3 Financial constraints Patient_Level->PL3 PL4 No available surrogate Patient_Level->PL4 SL1 Time constraints in clinical visits System_Level->SL1 SL2 Fragmented care systems System_Level->SL2 SL3 Limited reimbursement mechanisms System_Level->SL3 SL4 Technology infrastructure gaps System_Level->SL4 PR1 Discomfort with ACP conversations Provider_Level->PR1 PR2 Implicit biases Provider_Level->PR2 PR3 Limited training in ACP Provider_Level->PR3 PR4 Uncertainty about timing Provider_Level->PR4 SC1 Historical mistrust of healthcare Sociocultural_Level->SC1 SC2 Cultural/religious beliefs Sociocultural_Level->SC2 SC3 Language barriers Sociocultural_Level->SC3 SC4 Stigma around death discussions Sociocultural_Level->SC4

Experimental Protocols for ACP Implementation Research

Protocol 1: Cluster-Randomized Trial of Community-Based ACP Interventions

Background: The Project Talk Trial protocol provides a methodology for comparing ACP interventions in underserved communities [13].

Objective: To compare efficacy of two ACP conversation interventions (game-based vs. workshop-based) versus control at increasing advance directive completion in underserved populations.

Materials:

  • Hello conversation game (intervention arm 1)
  • Conversation Project workshop materials (intervention arm 2)
  • TableTopics conversation game (attention control arm 3)
  • Advance directive documentation forms
  • Demographic and engagement surveys
  • Secure data management system

Procedure:

  • Site Selection: Identify 75 community venues in underserved areas
  • Participant Recruitment: Enroll 1,500 participants (n=20 per event)
  • Randomization: Cluster randomization of venues to one of three arms
  • Intervention Delivery:
    • Arm 1: Facilitated Hello game session (serious game approach)
    • Arm 2: Structured Conversation Project workshop
    • Arm 3: Neutral TableTopics game (control)
  • Data Collection:
    • Baseline demographics and prior ACP experience
    • Advance directive completion at 6 months (visually verified)
    • Secondary outcomes: ACP conversations, communication quality
    • Subgroup analyses for Black, Hispanic, and rural participants
  • Analysis: Compare advance directive completion rates across arms using appropriate statistical methods

Protocol 2: ACP Fidelity Scale Implementation Assessment

Background: Assessing implementation fidelity is essential for understanding ACP integration into healthcare systems [6].

Objective: To measure ACP implementation fidelity across healthcare units using a structured scale.

Materials:

  • Validated ACP Fidelity Scale (implementation, quality, and penetration subscales)
  • Healthcare unit demographic survey
  • Staff awareness and training assessment
  • Patient chart review protocol

Procedure:

  • Unit Recruitment: Recruit healthcare units using purposive sampling (e.g., 12 geriatric units)
  • Baseline Assessment:
    • Score each unit on implementation subscale (policies, training, resources)
    • Assess quality subscale (adherence to ACP guidelines)
    • Measure penetration rate (proportion of eligible patients receiving ACP)
  • Data Collection:
    • Staff surveys on ACP awareness and practices
    • Chart reviews for ACP documentation
    • Organizational characteristics assessment
  • Scoring: Item scores from 1 (no implementation) to 5 (full implementation)
  • Analysis:
    • Descriptive statistics for subscale scores
    • Cronbach's alpha for internal consistency
    • Intraclass Correlation Coefficient for interrater reliability

Protocol 3: Qualitative Phenomenological Study of Marginalized Populations

Background: Understanding lived experiences of marginalized populations is critical for equitable ACP approaches [14].

Objective: To explore how patients from diverse marginalized populations experience and perceive ACP.

Materials:

  • Semi-structured interview guide
  • Audio recording equipment
  • HIPAA-compliant transcription service
  • Qualitative data analysis software
  • Participant demographic questionnaire

Procedure:

  • Participant Recruitment:
    • Purposeful sampling of patients from marginalized populations
    • Inclusion: Serious illness + marginalization factor (race/ethnicity, Medicaid eligibility, housing instability, language preference, LGBTQ+ identity)
    • Recruitment from primary care clinics and nursing homes
  • Data Collection:
    • In-depth interviews using semi-structured guide
    • Questions about ACP experiences, values, and barriers
    • Continued until thematic saturation (approximately 30 participants)
  • Data Analysis:
    • Interpretive phenomenological approach
    • Multiple researchers independently code transcripts
    • Regular meetings to compare codes and identify themes
    • Reflexivity practices to examine researcher perspectives
  • Rigor Enhancement:
    • Researcher triangulation
    • Exploration of divergent cases
    • Thick description of contexts and experiences

Research Reagent Solutions for ACP Implementation Studies

Table 4: Essential Research Materials and Tools for ACP Implementation Studies

Category Specific Tool/Measure Application in ACP Research Key Features
Implementation Metrics ACP Fidelity Scale [6] Assessing implementation degree across healthcare settings Three subscales: implementation, quality, penetration; 5-point scoring
Normalization MeAsure Development (NoMAD) [2] Evaluating implementation processes from staff perspective Measures normalization constructs: coherence, cognitive participation, collective action, reflexive monitoring
Digital ACP Platforms "Explore Your Preferences for Treatment and Care" [18] Web-based ACP program implementation research Stepwise approach: exploration, discussion, recording; embedded in patient platforms
Electronic Palliative Care Coordination Systems [2] Studying digital ACP documentation and sharing Real-time preference documentation; information exchange across settings
Qualitative Assessment Semi-structured interview guides [14] Exploring lived experiences of marginalized populations Open-ended questions about ACP experiences, values, barriers
Theoretical Domains Framework [7] Identifying implementation barriers Links barriers to intervention functions and behavior change theory
Intervention Materials Hello conversation game [13] Game-based ACP intervention research Serious game format; open-ended questions about values and preferences
Conversation Project workshop materials [13] Structured group ACP intervention studies Nationally utilized workshop format for ACP conversations

This application note provides researchers with standardized protocols and analytical frameworks for investigating critical gaps in ACP uptake among underserved populations. The quantitative data reveal persistent disparities across racial, ethnic, socioeconomic, and cognitive dimensions, while the conceptual framework illustrates the multifactorial nature of implementation barriers.

The experimental protocols offer detailed methodologies for conducting rigorous ACP implementation research, spanning clinical, community, and digital settings. By applying these structured approaches, researchers can generate comparable evidence to inform the development of equitable ACP implementation frameworks that address the specific needs of marginalized populations.

Future research should prioritize mixed-methods designs that simultaneously quantify disparity magnitudes and elucidate the lived experiences underlying these disparities, enabling development of truly patient-centered ACP approaches that respect diverse values, identities, and communication preferences.

Advance care planning (ACP) is a communication process that supports individuals in understanding and sharing their personal values, life goals, and preferences regarding future medical care [19]. Despite compelling evidence demonstrating that ACP improves quality of patient-physician communication, reduces decisional conflict, increases patient-caregiver congruence in preferences, and improves documentation of care preferences [20] [21], its integration into routine clinical practice remains limited globally [20] [21] [6]. This article analyzes the historical challenges in ACP implementation through a systematic examination of the evidence-to-practice divide, providing application notes and experimental protocols to guide future implementation research. The persistent gap between ACP evidence and practice represents a critical challenge in healthcare delivery, particularly for older adults, those with serious illnesses, and underrepresented populations who experience disproportionate barriers to engaging in these discussions [3] [15].

The complexity of ACP as a clinical intervention contributes significantly to this implementation gap. ACP represents a complex intervention involving multiple behaviors from patients, relatives, and healthcare professionals across different settings and systems [20]. This complexity is compounded by conceptual evolution, as ACP has transitioned from a narrow focus on completing advance directives to a comprehensive process of communication and shared decision-making [22] [21]. Furthermore, successful ACP requires a system-wide approach that coordinates efforts across clinical, institutional, and policy levels, yet most healthcare systems lack the infrastructure, training, and reimbursement mechanisms to support such integration [20] [21].

Quantitative Analysis of ACP Implementation Challenges

Documented Outcomes and Implementation Disparities

Table 1: ACP Implementation Outcomes Across Healthcare Settings

Study & Setting Implementation Strategy Reach/ Documentation Rates Key Barriers Identified Key Facilitators Identified
Primary Care (U.S.) [3] ACP coordinator + Lightning Report Clinic A: 43.6-53.6% reach; 20.2-22.8% effectivenessClinic B: 2.6-27.9% reach; 1.9-18.4% effectiveness Lack of systematic approach, insufficient time, limited support staff Dedicated ACP personnel, workflow integration, leadership commitment
SHARING Choices Trial (Primary Care) [15] Structured ACP intervention with trained facilitators 12% with new documentation (vs. 6.6% control); lower rates for Black patients and those with dementia Health disparities, time constraints, low patient engagement (only 5% had ACP conversations) Targeted facilitator training, equity-focused approach
Geriatric Hospital Units (Norway) [6] Fidelity scale measurement at baseline Only 10% of patients received ACP in 1 of 12 units; mean fidelity score: 1.21/5 Lack of prioritization, insufficient competence, no systems/routines Measurement tools, guideline development, staff training

Table 2: Digital ACP Implementation Metrics

Implementation Domain Key Findings Recommendations
System Design [2] Multiple incompatible systems (10 different DACP systems in one region) Standardize content, ensure interoperability, focus on end-user needs
Health Professional Engagement [2] Low adoption despite availability; documentation often late in illness Training, clear protocols, integration with workflow
Information Sharing [2] [22] Limited real-time accessibility across care settings Cross-platform compatibility, EHR integration
Equity and Access [18] [15] Lower uptake among patients with limited digital literacy, Black older adults, non-English speakers Tailored support, equity training for facilitators, multiple access options

Multi-level Barriers to ACP Implementation

The implementation challenges span multiple ecosystem levels, from individual interactions to broader healthcare system structures. At the individual level, patients and providers face barriers including lack of ACP awareness, discomfort discussing death and dying, difficulty understanding complex medical terminology, and procrastination [22]. At the interpersonal level, family disagreements, reluctance to burden loved ones, and communication challenges between patients and healthcare providers impede progress [22]. At the institutional level, constraints include time limitations during clinical encounters, lack of systematic approaches to ACP, inadequate provider training, and absence of reimbursement mechanisms [22] [21]. At the societal level, cultural taboos surrounding death, health disparities, and limited access to healthcare services create additional implementation barriers [22].

Research demonstrates that the outer setting (national policies, incentives, guidelines) and inner setting (organizational culture, resources, collaboration structures) significantly influence implementation success [20]. In Norway, where ACP is not legally binding, implementation requires different approaches compared to contexts with substitute decision-maker laws [21]. The misconception that ACP focuses exclusively on death and dying rather than person-centered care throughout the health continuum further complicates implementation efforts [21] [19].

Experimental Protocols for ACP Implementation Research

Protocol 1: Mixed-Methods Evaluation of ACP Implementation

Objective: To identify multi-level barriers and facilitators to ACP implementation and evaluate implementation strategies.

Methodology:

  • Qualitative Data Collection: Conduct individual in-depth interviews with stakeholders at national, organizational, and clinical levels using semi-structured interview guides based on implementation frameworks (CFIR/PRISM) [20] [3].
  • Thematic Analysis: Apply thematic analysis following Braun and Clarke's strategy, using a hermeneutical approach to interpret data through iterative coding and theme development [21].
  • Quantitative Implementation Metrics: Collect baseline and follow-up data on ACP reach (patient-provider discussions), effectiveness (ACP document completion), and penetration (widespread practice) [3] [6].
  • Integration of Findings: Map barriers to implementation strategies using theoretical frameworks (TDF/PRISM) to develop targeted interventions [3] [7].

Applications: This protocol is suitable for evaluating ACP implementation in naive contexts or assessing the impact of implementation strategies across diverse healthcare settings.

Protocol 2: Cluster-Randomized Controlled Trial of ACP Implementation

Objective: To test the effectiveness of ACP implementation strategies in routine care settings.

Methodology:

  • Cluster Recruitment: Recruit clinical units (e.g., geriatric hospital units, primary care clinics) using purposive sampling, with randomization at the unit level to intervention or control arms [6].
  • Intervention Components:
    • Provide 18 months of training and support in implementing ACP guidelines and national recommendations [6]
    • Implement multi-component strategies (e.g., ACP coordinators, workflow integration, staff education) [3]
  • Control Condition: Provide usual care or a shorter version of the intervention after a delayed period [6].
  • Outcome Measures:
    • Primary: ACP fidelity scores (implementation, quality, penetration) using validated scales [6]
    • Secondary: ACP documentation rates, patient-provider congruence, healthcare utilization [6] [15]
  • Data Analysis: Use descriptive statistics, calculate intraclass correlation coefficients for reliability, and employ appropriate multivariate analyses to assess intervention effects [6].

Applications: This protocol enables rigorous evaluation of ACP implementation strategies while accounting for cluster-level effects and contextual factors.

Protocol 3: Digital ACP Implementation Evaluation Using NASSS Framework

Objective: To assess the implementation complexity of digital ACP tools and identify strategies to optimize adoption and sustainability.

Methodology:

  • Multimodal Data Collection: Compile a dataset including peer-reviewed publications, stakeholder meeting notes, implementation records, and interviews with key stakeholders [18].
  • NASSS Framework Application: Use the NASSS-CAT (Complexity Assessment Tool) to extract and analyze data across six domains: condition, technology, value proposition, adopters, external context, and embedding/adaptation over time [18].
  • Complexity Rating: Classify each domain as "simple," "complicated," or "complex" based on the number and nature of interacting components and dynamic uncertainties [18].
  • Implementation Optimization: Develop targeted strategies to reduce complexities in domains rated as complicated or complex, with particular attention to interdependent complexities across domains [18].

Applications: This protocol is valuable for evaluating digital health implementations, identifying potential failure points, and guiding development of more implementable digital ACP solutions.

Visualization of ACP Implementation Framework

G National Policy Context National Policy Context Organizational Setting Organizational Setting National Policy Context->Organizational Setting Guidelines, Incentives Clinical Microsystem Clinical Microsystem Organizational Setting->Clinical Microsystem Resources, Culture ACP Implementation Strategies ACP Implementation Strategies Dedicated ACP Personnel Dedicated ACP Personnel ACP Implementation Strategies->Dedicated ACP Personnel Staffing Workflow Integration Workflow Integration ACP Implementation Strategies->Workflow Integration Process Staff Education Staff Education ACP Implementation Strategies->Staff Education Training Digital Systems Digital Systems ACP Implementation Strategies->Digital Systems Technology Leadership Support Leadership Support ACP Implementation Strategies->Leadership Support Commitment ACP Processes ACP Processes Dedicated ACP Personnel->ACP Processes Facilitates Workflow Integration->ACP Processes Supports Staff Education->ACP Processes Enables Digital Systems->ACP Processes Documents Leadership Support->ACP Processes Sustains Patient Engagement Patient Engagement ACP Processes->Patient Engagement Informs Care Alignment Care Alignment ACP Processes->Care Alignment Guides Documentation Documentation ACP Processes->Documentation Records Improved Outcomes Improved Outcomes Patient Engagement->Improved Outcomes Enhances Care Alignment->Improved Outcomes Ensures Documentation->Improved Outcomes Communicates

Diagram 1: ACP Implementation Framework

Table 3: Essential Research Materials for ACP Implementation Studies

Resource Category Specific Tools/Measures Application in ACP Research
Implementation Frameworks Consolidated Framework for Implementation Research (CFIR) [20], Practical, Robust Implementation and Sustainability Model (PRISM) [3], Nonadoption, Abandonment, Scale-up, Spread and Sustainability (NASSS) framework [2] [18] Guides systematic identification of barriers/facilitators, evaluation of implementation complexity, and development of targeted strategies
Fidelity and Outcome Measures ACP Fidelity Scale (implementation, quality, penetration subscales) [6], RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance) [3], Normalization MeAsure Development (NoMAD) [2] Measures implementation success, assesses intervention fidelity, evaluates integration into routine practice
Qualitative Data Collection Tools Semi-structured interview guides [20] [21], Theory of Change workshops [2], Focus group protocols [3] Elicits stakeholder perspectives, identifies contextual factors, clarifies implementation mechanisms
Digital ACP Platforms Web-based ACP programs (e.g., "Explore Your Preferences for Treatment and Care") [18], Electronic Palliative Care Coordination Systems (EPaCCS) [2], Patient portal integration tools [15] Provides scalable ACP delivery, enables documentation and sharing, supports patient engagement
Equity and Special Population Tools Cultural adaptation frameworks, Health literacy assessments, Vulnerability indices [3] [15] Ensures appropriate implementation across diverse populations, addresses health disparities

The historical challenges in ACP implementation reflect the complexity of integrating person-centered communication processes into healthcare systems designed for acute, problem-oriented care. The evidence-to-practice divide persists despite growing recognition of ACP's value, necessitating continued focus on implementation science approaches, multi-level strategies, and tailored interventions for diverse populations and settings [20] [21]. Future implementation efforts must address the interdependent nature of barriers across system levels while developing robust measurement strategies to track progress and identify effective approaches [6].

Promising directions include the strategic use of digital health technologies to expand ACP access while ensuring these tools meet end-user needs and integrate seamlessly into clinical workflows [2] [22] [18]. Additionally, implementation efforts must explicitly address equity considerations through targeted approaches for underrepresented populations who experience disproportionate barriers to ACP engagement [3] [15]. Finally, sustainable ACP implementation requires policy and payment reforms that incentivize high-quality person-centered communication alongside documentation of preferences [20] [21]. Through systematic application of implementation science principles and methodological rigor, researchers and healthcare systems can narrow the evidence-to-practice divide and ensure that patient values and preferences effectively guide medical care.

Implementation Science in Action: Practical Frameworks and Strategies for ACP Integration

Advance care planning (ACP) is a fundamental component of person-centered healthcare, encompassing the process through which individuals contemplate, discuss, and document their values, goals, and preferences regarding future medical care, particularly in circumstances where they may lose decision-making capacity [22]. The conceptual framework of ACP has evolved significantly over the past three decades, transitioning from a narrow focus on completing advance directive documents to a more comprehensive, ongoing process of communication and shared decision-making involving patients, families, and healthcare providers [23]. Despite compelling evidence supporting its benefits, ACP engagement remains disappointingly low across diverse populations and healthcare settings, with studies indicating that only 20-40% of adults in developed countries have completed any form of advance directive [22].

Implementation science frameworks provide systematic approaches for integrating evidence-based interventions like ACP into routine clinical practice by identifying and addressing contextual barriers [24] [25]. The Practical, Robust, Implementation and Sustainability Model (PRISM) and the Consolidated Framework for Implementation Research (CFIR) are particularly relevant for ACP program design, offering complementary perspectives on implementation determinants and outcomes [24] [25] [26]. PRISM expands upon the Reach, Effectiveness, Adoption, Implementation, and Maintenance (RE-AIM) framework by incorporating multi-level contextual factors and the patient perspective, while CFIR provides a comprehensive taxonomy of implementation determinants across five major domains [24] [25] [26].

The integration of these frameworks offers a powerful approach for designing, implementing, and evaluating ACP programs that are both evidence-based and contextually appropriate. This article provides detailed application notes and protocols for leveraging PRISM and CFIR in ACP program design, with specific guidance for researchers, scientists, and healthcare professionals working to improve ACP implementation across diverse settings.

The CFIR Framework: Application to ACP Program Design

The Consolidated Framework for Implementation Research (CFIR) is a determinant framework that includes constructs from many implementation theories, models, and frameworks; it is used to predict or explain barriers and facilitators to implementation success [25]. The updated CFIR includes 48 constructs and 19 subconstructs across 5 broad domains: (1) Innovation; (2) Outer Setting; (3) Inner Setting; (4) Individuals: Roles & Characteristics; and (5) Implementation Process [25] [26]. For ACP program design, clearly defining each domain and the boundaries between domains is essential for accurate attribution to implementation outcomes [25].

In the context of ACP implementation, the Innovation domain encompasses the ACP program itself, including its core components, adaptable peripheries, and evidence base. The Outer Setting includes the economic, political, and social context within which the organization implementing ACP operates, including reimbursement policies and regulatory requirements. The Inner Setting comprises features of the implementing organization, including structural characteristics, networks, communication, and implementation climate. Individuals: Roles & Characteristics include the individuals involved in ACP implementation, including their knowledge, beliefs, and self-efficacy. Finally, the Implementation Process refers to how the ACP program is implemented, including planning, engaging, executing, and reflecting/evaluating [25] [27].

CFIR Implementation Protocol for ACP

Applying CFIR to ACP program design involves a systematic process across five key steps, adapted from the CFIR User Guide [25]:

Step 1: Define Research Question and Implementation Outcome

  • Specify whether CFIR will be used prospectively to assess determinants of anticipated implementation outcomes and/or retrospectively to assess determinants of actual implementation outcomes
  • Define specific ACP implementation outcomes (e.g., documentation rates, quality of ACP conversations, surrogate preparedness)
  • Establish clear equity-focused implementation outcomes to ensure equitable ACP implementation

Step 2: Define CFIR Domains and Boundaries

  • Clearly delineate what constitutes the ACP "innovation" versus implementation strategies
  • Define organizational boundaries for Inner Setting factors
  • Specify relevant Outer Setting factors specific to ACP (e.g., state-specific legal requirements for advance directives)

Step 3: Data Collection on CFIR Determinants

  • Use mixed methods approaches, including semi-structured interviews, focus groups, surveys, and observational methods
  • Develop interview guides with CFIR-based questions tailored to ACP implementation
  • Ensure representation of diverse stakeholders (patients, clinicians, administrators, surrogates)

Step 4: Data Analysis and Interpretation

  • Use deductive qualitative analysis organized by CFIR domains and constructs
  • Identify constellations of determinants that distinguish between implementation success and failure
  • Prioritize determinants that are both important and malleable for ACP implementation

Step 5: Knowledge Dissemination and Application

  • Translate CFIR findings into tailored implementation strategies for ACP
  • Share results with stakeholders through appropriate channels
  • Use findings to inform adaptation of ACP programs to local contexts

Table 1: Key CFIR Constructs for ACP Implementation

CFIR Domain Key Constructs for ACP Application to ACP Context
Innovation Evidence Strength & Quality, Relative Advantage, Adaptability Strength of evidence supporting ACP; advantage over usual care; adaptability to patient populations
Outer Setting Patient Needs & Resources, External Policies & Incentives Patient readiness for ACP; reimbursement policies for ACP conversations
Inner Setting Implementation Climate, Readiness for Implementation Organizational priority of ACP; available resources for implementation
Individuals Knowledge & Beliefs, Self-efficacy Clinician knowledge about ACP; comfort with ACP conversations
Implementation Process Planning, Engaging, Executing Quality of implementation plan; engagement of key stakeholders

A recent multisite ACP pragmatic trial demonstrated the utility of CFIR for understanding implementation challenges, including the need for standardized ACP documentation, clinician education, and workflow integration [27]. The trial highlighted the importance of obtaining leadership buy-in, standardizing EHR documentation, and validating automated serious illness identification algorithms – all factors that can be systematically assessed using CFIR [27].

CFIR_ACP cluster_domains CFIR Domains for ACP cluster_outcomes ACP Implementation Outcomes CFIR Domains CFIR Domains Innovation\n(ACP Program) Innovation (ACP Program) CFIR Domains->Innovation\n(ACP Program) Outer Setting\n(Policies, Community) Outer Setting (Policies, Community) CFIR Domains->Outer Setting\n(Policies, Community) Inner Setting\n(Healthcare Organization) Inner Setting (Healthcare Organization) CFIR Domains->Inner Setting\n(Healthcare Organization) Individuals\n(Clinicians, Patients) Individuals (Clinicians, Patients) CFIR Domains->Individuals\n(Clinicians, Patients) Implementation Process\n(Planning, Execution) Implementation Process (Planning, Execution) CFIR Domains->Implementation Process\n(Planning, Execution) ACP Documentation ACP Documentation Innovation\n(ACP Program)->ACP Documentation Quality ACP Conversations Quality ACP Conversations Outer Setting\n(Policies, Community)->Quality ACP Conversations Surrogate Preparedness Surrogate Preparedness Inner Setting\n(Healthcare Organization)->Surrogate Preparedness Individuals\n(Clinicians, Patients)->Quality ACP Conversations Goal-Concordant Care Goal-Concordant Care Implementation Process\n(Planning, Execution)->Goal-Concordant Care ACP ACP Documentation Documentation [fillcolor= [fillcolor= Quality ACP Conversations->Surrogate Preparedness Surrogate Preparedness->Goal-Concordant Care ACP Documentation->Goal-Concordant Care

The PRISM Framework: Application to ACP Program Design

The Practical, Robust, Implementation and Sustainability Model (PRISM) expands upon the RE-AIM framework by incorporating multi-level contextual factors and explicitly considering the patient perspective [24]. PRISM examines how the intervention or program, external environment, implementation and sustainability infrastructure, and recipients influence reach, effectiveness, adoption, implementation, and maintenance of healthcare interventions [24] [28].

For ACP program design, PRISM provides a pragmatic framework for assessing contextual factors that influence implementation success. The key components of PRISM include:

  • The Intervention or Program: The ACP program components, including adaptable elements
  • External Environment: Factors outside the organization implementing ACP, including incentives and regulations
  • Implementation and Sustainability Infrastructure: Organizational characteristics and resources for supporting ACP implementation
  • Recipients: Patients, clinicians, and other stakeholders involved in ACP
  • Implementation Outcomes: Reach, Effectiveness, Adoption, Implementation, Maintenance (RE-AIM)

A recent application of PRISM to a community-based youth participatory action research program demonstrated its utility for understanding how historical, cultural, and environmental factors support implementation across diverse settings [28]. The study identified key factors supporting implementation, including fostering relationships between facilitators and participants, ensuring adequate facilitator training, and compensating participants for their involvement – findings highly relevant to ACP program design [28].

PRISM Implementation Protocol for ACP

Applying PRISM to ACP program design involves both prospective planning and retrospective evaluation:

Prospective PRISM Application:

  • Contextual Assessment: Identify multi-level contextual barriers and facilitators to ACP implementation using qualitative interviews with diverse stakeholders [24]
  • Program Adaptation: Use contextual assessment findings to adapt ACP program components for different settings and populations
  • Implementation Planning: Develop implementation strategies that address identified contextual factors
  • Evaluation Planning: Establish metrics for each PRISM/RE-AIM dimension specific to ACP

Retrospective PRISM Application:

  • Mixed Methods Evaluation: Collect quantitative and qualitative data on all PRISM/RE-AIM dimensions
  • Multi-level Analysis: Analyze how contextual factors at multiple levels influenced implementation outcomes
  • Adaptation Refinement: Identify needed program adaptations based on implementation experience
  • Sustainability Planning: Develop strategies for maintaining ACP programs long-term

Table 2: PRISM/RE-AIM Evaluation Metrics for ACP Programs

PRISM/RE-AIM Dimension Quantitative Metrics Qualitative Assessment
Reach Percentage of eligible patients participating in ACP; Representativeness of participants Patient-reported barriers to ACP engagement; Perceived relevance of ACP
Effectiveness ACP documentation rates; Surrogate decisional conflict; Goal-concordant care Patient and surrogate experiences with ACP; Perceived value of ACP discussions
Adoption Percentage of clinicians implementing ACP; Organizational-level uptake Clinician perceptions of ACP feasibility; Organizational implementation climate
Implementation Fidelity to ACP protocol; Quality of ACP conversations; Documentation quality Adaptations made during implementation; Barriers to fidelity
Maintenance Sustainability of ACP program over time; Institutionalization into routine care Perceived sustainability; Plans for ongoing support

A qualitative application of the RE-AIM/PRISM framework to an academic detailing program for managing behavioral and psychological symptoms of dementia (BPSD) provides a valuable model for ACP program design [24]. The researchers used framework-guided qualitative interviews with both experienced (Champion) and inexperienced (Novice) program stakeholders to identify multi-level contextual barriers and facilitators, then used these findings to plan adaptations for non-memory clinic primary care settings [24].

Integrated PRISM-CFIR Protocol for ACP Implementation

Integrated Framework Application

The complementary strengths of PRISM and CFIR can be leveraged through an integrated approach to ACP implementation. The CFIR framework provides a comprehensive taxonomy for understanding implementation determinants, while PRISM offers a practical approach for evaluating implementation outcomes and contextual factors [24] [25]. The integrated application involves:

Phase 1: Pre-Implementation Planning

  • Use CFIR to conduct a comprehensive contextual assessment of potential barriers and facilitators to ACP implementation
  • Identify key determinants that may influence reach, effectiveness, adoption, implementation, and maintenance
  • Use PRISM to engage diverse stakeholders in planning for implementation
  • Adapt ACP program components based on CFIR and PRISM findings

Phase 2: Active Implementation

  • Use CFIR to monitor implementation determinants throughout the process
  • Track PRISM/RE-AIM outcomes to assess progress
  • Make real-time adaptations based on CFIR and PRISM data
  • Maintain engagement of key stakeholders identified through both frameworks

Phase 3: Evaluation and Sustainability Planning

  • Use CFIR to explain implementation outcomes
  • Use PRISM to assess overall implementation success across multiple dimensions
  • Identify factors influencing sustainability using both frameworks
  • Develop plans for scaling and disseminating ACP programs based on integrated findings

ACP_Implementation cluster_phase1 Phase 1: Pre-Implementation cluster_phase2 Phase 2: Active Implementation cluster_phase3 Phase 3: Evaluation & Sustainability CFIR Contextual\nAssessment CFIR Contextual Assessment Program Adaptation Program Adaptation CFIR Contextual\nAssessment->Program Adaptation Stakeholder\nEngagement (PRISM) Stakeholder Engagement (PRISM) Stakeholder\nEngagement (PRISM)->Program Adaptation Implementation\nPlanning Implementation Planning Program Adaptation->Implementation\nPlanning CFIR Monitoring CFIR Monitoring Implementation\nPlanning->CFIR Monitoring PRISM/RE-AIM\nTracking PRISM/RE-AIM Tracking Implementation\nPlanning->PRISM/RE-AIM\nTracking Real-time\nAdaptations Real-time Adaptations CFIR Monitoring->Real-time\nAdaptations PRISM/RE-AIM\nTracking->Real-time\nAdaptations Stakeholder\nEngagement Stakeholder Engagement Real-time\nAdaptations->Stakeholder\nEngagement CFIR Outcome\nExplanation CFIR Outcome Explanation Stakeholder\nEngagement->CFIR Outcome\nExplanation PRISM Outcome\nAssessment PRISM Outcome Assessment Stakeholder\nEngagement->PRISM Outcome\nAssessment Sustainability\nPlanning Sustainability Planning CFIR Outcome\nExplanation->Sustainability\nPlanning PRISM Outcome\nAssessment->Sustainability\nPlanning Scaling &\nDissemination Scaling & Dissemination Sustainability\nPlanning->Scaling &\nDissemination

Experimental Protocol for ACP Implementation Research

For researchers conducting ACP implementation studies, the following detailed protocol integrates both PRISM and CFIR:

Study Design:

  • Use a hybrid effectiveness-implementation design to assess both clinical outcomes and implementation outcomes
  • Employ cluster randomization at the practice or health system level when appropriate
  • Include mixed methods to capture both quantitative implementation outcomes and qualitative contextual factors

Participant Recruitment:

  • Recruit diverse healthcare organizations representing varied settings (primary care, specialty care, community settings)
  • Ensure inclusion of underrepresented populations and those with historically lower ACP engagement
  • Obtain input from multiple stakeholder groups (patients, clinicians, administrators, surrogates)

Data Collection Methods:

  • Quantitative Data:
    • ACP documentation rates from electronic health records
    • Surveys assessing clinician knowledge, self-efficacy, and implementation climate
    • Patient and surrogate assessments of ACP engagement and outcomes
    • Healthcare utilization data to assess impact on goal-concordant care
  • Qualitative Data:
    • Semi-structured interviews informed by CFIR constructs
    • Focus groups with key stakeholder groups
    • Observations of ACP conversations and implementation processes
    • Document review of implementation materials and adaptations

Data Analysis:

  • Quantitative Analysis:
    • Use descriptive statistics to characterize RE-AIM outcomes
    • Employ multivariable models to assess factors associated with implementation success
    • Analyze trends in implementation outcomes over time
  • Qualitative Analysis:
    • Use deductive coding based on CFIR constructs and PRISM dimensions
    • Identify themes related to implementation barriers and facilitators
    • Analyze patterns of adaptation across different contexts

Integration of Findings:

  • Use joint displays to integrate quantitative and qualitative findings
  • Identify mediating and moderating factors that influence implementation outcomes
  • Develop tailored implementation strategies based on integrated findings

Table 3: Research Reagent Solutions for ACP Implementation Studies

Tool/Resource Function Application in ACP Research
CFIR Interview Guide Templates Standardized data collection on implementation determinants Assessing barriers and facilitators to ACP implementation across contexts
PRISM/RE-AIM Evaluation Matrix Comprehensive implementation outcome assessment Tracking reach, effectiveness, adoption, implementation, and maintenance of ACP programs
ACP Fidelity Scales Measurement of implementation fidelity Assessing adherence to ACP protocols and quality of ACP conversations [6]
Digital ACP Platforms (PREPARE) Technology-enabled ACP delivery Implementing standardized ACP education and documentation [22] [27]
EHR ACP Dashboards Systematized ACP documentation and tracking Standardizing ACP documentation across health systems [27] [23]
Stakeholder Engagement Frameworks Structured stakeholder involvement Ensuring patient, clinician, and administrator input throughout implementation
Implementation Strategy Specification Tools Precise definition of implementation strategies Clearly specifying strategies for addressing implementation barriers

The integration of PRISM and CFIR frameworks provides a powerful approach for designing, implementing, and evaluating ACP programs across diverse healthcare settings. These complementary frameworks enable researchers and healthcare professionals to systematically assess contextual factors, anticipate implementation challenges, and develop tailored strategies for improving ACP implementation and sustainability.

As ACP continues to evolve from a narrow focus on advance directive completion to a broader process of preparing patients and surrogates for communication and medical decision-making, implementation science frameworks will play an increasingly important role in ensuring that evidence-based ACP approaches are effectively integrated into routine care [23]. The application notes and protocols provided in this article offer practical guidance for leveraging PRISM and CFIR to advance ACP implementation research and practice.

Future directions for ACP implementation research should include greater focus on equity, digital health integration, and systematic assessment of implementation costs and sustainability. By applying rigorous implementation science frameworks like PRISM and CFIR, researchers and healthcare systems can develop more effective approaches for ensuring that patient values and preferences guide medical care throughout the life course.

Advance Care Planning (ACP) implementation is a complex process requiring strategic workflow integration to ensure that patient values and preferences for future care are documented, communicated, and honored across healthcare settings. Successful ACP implementation hinges on two critical roles: the dedicated ACP Coordinator who manages the structured ACP process, and the Clinical Champion who drives organizational adoption and behavior change among healthcare providers [29] [30]. These complementary roles address both systemic and human factors in implementation, creating a robust framework for integrating ACP into routine care delivery. This article details application notes and protocols for deploying these roles within a comprehensive ACP implementation framework, providing researchers and implementation scientists with evidence-based methodologies for optimizing ACP integration in diverse healthcare environments.

Role Definitions and Comparative Analysis

ACP Coordinator Role

The ACP Coordinator is typically a dedicated facilitator—often a social worker, nurse, or specialized professional—who conducts detailed, values-based discussions with patients outside the physician's brief clinical encounter [29]. This role focuses on the operational execution of ACP through direct patient engagement, ensuring that conversations occur proactively and are thoroughly documented. Key responsibilities include assessing patient readiness, facilitating structured discussions about goals and values, documenting preferences in legally recognized instruments, and ensuring the portability of ACP documents across care settings [29] [31]. The coordinator acts as the central point for ACP process management, bridging communication gaps between patients, families, and the clinical team.

Clinical Champion Role

The Clinical Champion is typically a healthcare professional (physician, nurse, or other clinical staff) who acts as an informal leader dedicated to supporting, advocating for, and spearheading the ACP implementation initiative [30] [32]. This role leverages intrinsic motivation and peer influence to overcome organizational resistance and promote provider behavior change. Clinical champions are characterized by their strong communication skills, EBP knowledge and competency, embeddedness in the clinical setting, and respected status as informal leaders [30]. They function as promoters of the ACP initiative, supporting adoption through behavioral modeling, peer mentorship, and navigating complex social hierarchies within the organization [30] [32].

Table 1: Comparative Analysis of ACP Implementation Roles

Characteristic ACP Coordinator Clinical Champion
Primary Focus Process facilitation and patient engagement [29] Organizational change and provider behavior [30]
Core Responsibilities Conducting values discussions, documentation, ensuring portability [29] Advocating for change, mentoring peers, overcoming resistance [30]
Position in Organization Dedicated facilitator role [29] Informal leader embedded in clinical teams [30] [32]
Key Attributes Communication skills, empathy, procedural knowledge [29] Influence, expertise, passion, relationship-building [30] [33]
Implementation Level Direct patient care [31] Provider and system level [30]

Implementation Protocols and Workflow Integration

ACP Coordinator Workflow Integration Protocol

The integration of ACP Coordinators follows a structured pathway that can be embedded within existing clinical workflows, particularly leveraging the Medicare Annual Wellness Visit (AWV) in primary care settings [31]. The following protocol details a multimodal approach with sequenced ACP touchpoints:

  • Pre-Visit Preparation Phase: Patients receive (1) a letter of invitation and electronic notification from their clinician introducing ACP importance and inviting engagement with web-based platforms like PREPARE for Your Care, followed by (2) a telephone contact from a case manager to discuss the ACP initiative, and (3) an electronic or telephone reminder 5 days before the scheduled visit [31].

  • In-Visit Execution Phase: During the clinical encounter, (4) clinical office assistants remind patients about the upcoming ACP conversation when measuring vital signs. (5) The clinician's discussion focuses on ACP as an essential element of overall wellness, followed by (6) a handoff to the ACP Coordinator for a concluding conversation to complete or update advance directives [31].

  • Post-Visit Follow-up Phase: The Coordinator schedules follow-up conversations or appointments as needed and ensures documentation is completed and distributed across relevant systems [29] [31]. This protocol creates a seamless multimodal experience engaging patients through different mediums—in writing, by telephone, through web platforms, and in person.

Clinical Champion Implementation Protocol

Implementing the Clinical Champion strategy requires systematic approaches to identification, preparation, and role support. The following protocol is based on empirically supported behavior change models and champion attributes [30]:

  • Champion Identification and Selection: Identify potential champions among clinical staff who demonstrate intrinsic interest in ACP, strong communication skills, informal leadership status, and respect among peers [30] [32]. Selection should prioritize individuals with EBP knowledge and competency, relationship-building capabilities, and dedication to both clinical practice and the implementation effort [30]. Emerging evidence suggests deploying a mix of champion types (pragmatic and structured, passionate innovator, social and outgoing team leader, calm and empathetic team leader) ensures comprehensive coverage of staff needs [33].

  • Champion Preparation and Training: Provide specialized training in ACP communication skills, implementation science principles, and behavior change strategies. Training should enhance champions' abilities to model ACP integration into daily workflow, educate peers, and provide mentorship [30]. Effective champions require both technical ACP knowledge and implementation expertise to serve as credible resources for other providers [30] [32].

  • Organizational Integration and Support: Establish clear mandates, dedicated time, and proper training for champions to ensure effectiveness [32]. Champions should be firmly anchored within the organization with support from formal leadership. The implementation should leverage champions' embeddedness in clinical settings through frequent face-to-face contact with peers, allowing for grassroots implementation approaches [30] [32].

Theoretical Framework and Mechanisms of Action

Causal Pathways for Clinical Champions

Clinical champions impact provider behavior change through two distinct causal pathways mechanisms derived from behavior change theories [30]:

  • Intention Development Pathway: Champions promote intention to use ACP through behavioral modeling and peer buy-in. By demonstrating their own commitment to ACP and conveying positive perceptions about the initiative, champions influence their peers' attitudes and subjective norms regarding ACP implementation [30]. This pathway addresses provider-level barriers such as knowledge gaps and negative attitudes about ACP utility.

  • Behavioral Enactment and Sustainment Pathway: Champions promote behavioral enactment through skill building and peer mentorship. By serving as accessible resources for ACP competency development, champions enhance providers' self-efficacy and ability to overcome practical barriers to ACP implementation [30]. This pathway addresses barriers related to clinicians' confidence in their ability to carry out ACP discussions and integrate them into practice.

ChampionPathways cluster_0 Intention Development Pathway cluster_1 Behavioral Enactment Pathway Champion Champion Modeling Behavioral Modeling Champion->Modeling PeerBuyIn Peer Buy-In Champion->PeerBuyIn SkillBuilding Skill Building Champion->SkillBuilding Mentorship Peer Mentorship Champion->Mentorship Intention Provider Intention to Use ACP Modeling->Intention PeerBuyIn->Intention Sustainment ACP Use Sustainment Intention->Sustainment bridges intention-behavior gap SkillBuilding->Sustainment Mentorship->Sustainment

Clinical Champion Behavior Change Pathways

Workflow Integration Model

The integration of ACP Coordinator and Clinical Champion roles follows a sequential workflow that spans from system design through ongoing evaluation, creating a comprehensive implementation ecosystem [2]:

ACPWorkflow cluster_0 ACP Coordinator Activities cluster_1 Clinical Champion Activities Design System Design & Technical Prerequisites Recognition Recognition of Clinical Need Design->Recognition CDesign Champion Selection & Training Conversation Conversations & Documentation Recognition->Conversation CRecognition Promoting ACP Awareness Access Accessing & Actioning DACP Conversation->Access CConversation Modeling ACP Discussions Evaluation DACP Evaluation & Refinement Access->Evaluation CAccess Supporting DACP Access & Use CEvaluation Assessing Provider Engagement CDesign->CRecognition CRecognition->CConversation CConversation->CAccess CAccess->CEvaluation

ACP Implementation Workflow Model

Evaluation Framework and Metrics

Quantitative Evaluation Metrics

Systematic evaluation of ACP implementation requires both process and outcome measures. The following table summarizes key quantitative metrics for assessing the effectiveness of ACP Coordinator and Clinical Champion roles:

Table 2: ACP Implementation Evaluation Metrics

Metric Category Specific Measures Data Sources Target Benchmarks
Process Measures ACP conversation rate, Documentation completion rate, Digital ACP engagement [31] [2] EHR documentation, ACP registries, Utilization reports >60% completion for target populations [31]
Outcome Measures Patient/family satisfaction, Concordance of care with documented preferences, Reduction in unwanted interventions [29] Surveys, Care consistency audits, Utilization data Higher satisfaction scores, >80% care concordance [29]
Provider Engagement Provider ACP adoption rate, Self-efficacy measures, Perceived implementation climate [30] [32] Surveys, NoMAD implementation measure, EBP adoption scales Significant improvement in provider confidence [30]
System Outcomes Document portability across settings, Emergency service adherence to ACP, Cost analysis [29] [2] Cross-setting document transfer rates, EMS compliance data, Cost utilization Increased accessibility during emergencies [29]

Implementation Strategy Assessment

Research indicates that successful ACP implementation requires addressing barriers at multiple levels through targeted strategies [7]. The following protocol details a systematic approach for identifying and addressing implementation barriers:

  • Barrier Identification and Prioritization: Conduct stakeholder surveys and interviews to identify and prioritize barriers to ACP implementation across different practice settings. Utilize the Theoretical Domains Framework (TDF) to categorize barriers into domains such as knowledge, skills, beliefs about capabilities, and environmental context [7].

  • Implementation Strategy Mapping: Link prioritized barriers and their mapped TDF domains with relevant intervention functions and associated implementation strategies. Contextualize these strategies into local applications through multi-stakeholder workgroups that include ACP implementers [7].

  • Pilot Testing and Refinement: Engage ACP teams across various organizations to conduct pilot studies using implementation strategies that facilitate quality ACP implementation. Iteratively refine strategies based on pilot feedback before system-wide rollout [7].

Table 3: Essential Research Materials for ACP Implementation Studies

Resource/Instrument Function/Purpose Application Context
Normalization MeAsure Development (NoMAD) Implementation measure assessing normalization processes [2] Evaluating health professionals' perceptions of ACP value and impact
Theoretical Domains Framework (TDF) Categorizes implementation barriers into theoretical domains [7] Identifying and addressing provider-level barriers to ACP adoption
Consolidated Framework for Implementation Research (CFIR) Evaluates implementation determinants across multiple levels [30] Assessing inner and outer setting factors influencing ACP implementation
Digital ACP (DACP) Integration API Standardized protocol for EHR integration of ACP tools [34] Tracking ACP content ordering and patient engagement with digital tools
Respecting Choices Curriculum Structured ACP facilitator training and certification program [29] Standardizing ACP communication and documentation processes
Mixed Methods Appraisal Tool (MMAT) Quality assessment tool for mixed methods studies [32] Methodological quality evaluation in implementation science research

The integration of ACP Coordinator and Clinical Champion roles represents a powerful dual-strategy approach for advancing ACP implementation across healthcare systems. The ACP Coordinator ensures fidelity to the ACP process through dedicated patient engagement and systematic documentation, while the Clinical Champion drives cultural and behavioral change among healthcare providers through peer influence and informal leadership [29] [30]. When deployed within a structured implementation framework that addresses both workflow integration and human factors, these complementary roles significantly enhance ACP adoption, documentation quality, and ultimately, care consistency with patient values and preferences. Future research should prioritize empirical testing of the causal mechanisms through which these roles operate and explore optimal deployment strategies across diverse healthcare settings and patient populations.

Digital Advance Care Planning (DACP) represents a transformative approach to documenting and sharing patients' preferences for future medical care through electronic systems. As a complex intervention at the intersection of clinical practice, health informatics, and implementation science, DACP aims to ensure that patient values and care preferences are respected across healthcare settings. The implementation of these systems occurs within a challenging ecosystem characterized by technical heterogeneity, diverse stakeholder needs, and complex care pathways. This application note examines the current state of DACP implementation, synthesizes evidence-based recommendations, and provides practical protocols for researchers and healthcare organizations working to optimize these critical systems within the broader context of advance care planning implementation framework research.

Current Evidence Base and Quantitative Landscape

Research indicates significant variability in DACP implementation and effectiveness across healthcare systems. The following tables synthesize key quantitative findings from recent studies, providing researchers with a comprehensive evidence base for planning and evaluation.

Table 1: DACP Implementation Studies and Stakeholder Engagement

Study Reference Sample Size Stakeholder Composition Key Implementation Findings
Optimal Care Programme (2020-2023) [35] 788 total participants - 85 end-of-life care commissioning leads- 569 health professionals- 52 interview participants- 44 patients/carers- 38 workshop participants 20 evidence-based recommendations distilled across 5 DACP implementation phases; Low engagement with systems despite availability
EPaCCS Qualitative Study (2024) [36] 52 health/social care practitioners 6 care settings: hospice, primary care, care home, hospital, ambulatory, community 6 themes identified mapping to NPT constructs; System access and inconsistent engagement identified as key barriers
ACP Fidelity Study (2025) [37] 12 geriatric hospital units Acute geriatric units in Norway Mean fidelity scores: Implementation (1.21/5), Quality (1.11/5), Penetration rate (1.08/5); Significant implementation gaps identified

Table 2: Digital Health Interoperability Market and Implementation Landscape

Parameter Current Status (2025) Projected Trend Data Source
Healthcare Interoperability Solutions Market $4.5 billion $14.4 billion by 2034 (13.89% CAGR) [38]
FHIR Adoption Among EHR Vendors >90% support as interoperability baseline Continued growth driven by regulatory mandates [39]
Healthcare Data Storage Market $7.08 billion $14.64 billion by 2029 [38]
DACP Record Creation Before Death 9%-43% of palliative patients Variable across systems [36]
Countries with Digital Health Architecture 57% building or implementing frameworks Increasing standardization [40]

Implementation Frameworks and Methodological Approaches

Theoretical Foundations for DACP Implementation

The implementation of DACP systems requires robust theoretical frameworks to address their complexity. Three prominent approaches have demonstrated utility in this domain:

  • Normalization Process Theory (NPT): This framework explores implementation through four core constructs: coherence (sense-making), cognitive participation (engagement), collective action (workability), and reflexive monitoring (appraisal) [36]. The theory helps explain how DACP becomes embedded in routine practice through the work that stakeholders do individually and collectively.

  • Theoretical Domains Framework (TDF): This implementation science approach consolidates 84 behavioral constructs into 14 validated domains relevant to health practitioner behavior change [41]. Research has identified that professional role identity, environmental context, and emotions are critical determinants in initiating ACP conversations.

  • Realist Review Methodology: This approach identifies context-mechanism-outcome configurations to explain how interventions work in specific settings [42]. Seven key configurations have been identified for ACP in long-term care, including sensitive conversation approaches, identifying "windows of opportunity," and building collaborative networks.

Experimental Protocol: Multi-Method DACP Implementation Assessment

Purpose: To comprehensively evaluate DACP implementation across multiple stakeholder groups and care settings.

Materials and Equipment:

  • Digital survey platforms (e.g., Qualtrics, REDCap)
  • Secure video conferencing software for interviews
  • Audio recording equipment and transcription services
  • NVivo or similar qualitative analysis software
  • Statistical analysis software (e.g., R, SPSS)

Procedure:

  • Stakeholder Mapping and Recruitment (Weeks 1-4)

    • Identify and recruit participants across key stakeholder groups: commissioning leads, healthcare professionals, patients, and caregivers
    • Employ purposive sampling to ensure representation across care settings (primary care, hospital, hospice, care homes, community)
    • Obtain ethical approval and informed consent following institutional guidelines

  • Cross-Sectional Survey Administration (Weeks 5-8)

    • Develop and distribute surveys using adapted implementation measures (e.g., NoMAD questionnaire)
    • Include items assessing DACP awareness, use patterns, perceived value, and barriers
    • Collect routine patient-level data relating to DACP where available

  • Qualitative Data Collection (Weeks 9-16)

    • Conduct semi-structured interviews using NPT-informed topic guides
    • Facilitate focus groups with patients and caregivers using case vignettes
    • Organize Theory of Change workshops with mixed stakeholder groups

  • Data Analysis (Weeks 17-24)

    • Perform quantitative analysis using descriptive statistics and regression models
    • Conduct thematic framework analysis of qualitative data, mapping to implementation theories
    • Integrate findings through joint displays and mixed methods interpretation

  • Recommendation Development and Validation (Weeks 25-28)

    • Synthesize evidence-based recommendations across implementation phases
    • Validate recommendations through stakeholder feedback sessions
    • Develop implementation toolkit for wider dissemination

Validation Measures:

  • Triangulation across data sources and methods
  • Member checking with participants
  • Inter-coder reliability assessment for qualitative analysis
  • Fidelity assessment of implementation strategies

DACP Implementation Workflow and System Architecture

The following diagrams visualize key processes and structures in DACP implementation, based on analysis of the research evidence.

DACP Implementation Workflow

DACP System Interoperability Architecture

interoperability_architecture cluster_patient Patient Level cluster_provider Provider Level cluster_interop Interoperability Layer cluster_dacp DACP Core Services patient_app Patient-Facing Applications fhir_api FHIR API & Standardized Data Exchange patient_app->fhir_api patient_id Digital Identity & Authentication trust_framework Trust Framework & Security Services patient_id->trust_framework consent_mgmt Consent Management access_control Access Control & Audit Trail consent_mgmt->access_control ehr_systems EHR Systems (Vendor-Specific) ehr_systems->fhir_api legacy_systems Legacy Health Information Systems terminology_server Terminology Server & Semantic Mapping legacy_systems->terminology_server clinical_workflow Clinical Workflow Integration clinical_workflow->fhir_api dacp_storage DACP Repository & Storage fhir_api->dacp_storage terminology_server->dacp_storage trust_framework->access_control dacp_analytics Analytics & Reporting dacp_storage->dacp_analytics access_control->dacp_analytics

Interoperability Challenges and Technical Solutions

The implementation of DACP systems faces significant interoperability challenges that impact their effectiveness and adoption. Research has identified several critical barriers and potential solutions.

Key Interoperability Challenges

  • System Fragmentation and Vendor Silos: Diverse EHR systems with proprietary architectures create fundamental barriers to data exchange. Many platforms operate as "closed ecosystems" with limited API access and non-standard data formats [43] [38]. This fragmentation forces healthcare providers to rely on inefficient workarounds like printing, faxing, or manual re-entry of patient information.

  • Inconsistent Standards Implementation: While standards like HL7 FHIR are increasingly adopted, implementation remains uneven across systems [39]. Semantic inconsistency presents particular challenges, with varying clinical terminologies, coding practices, and units of measurement complicating data interpretation across systems [38].

  • Legacy System Integration: Many healthcare organizations continue to operate on infrastructure built before modern data exchange standards were established [43]. These legacy systems often lack support for current interoperability protocols and present significant technical and financial challenges for replacement or integration.

  • Regulatory and Privacy Complexities: Privacy regulations including HIPAA and GDPR, while essential for protecting patient information, can create confusion and overly cautious data-sharing practices [43] [38]. Organizations may interpret rules differently, potentially leading to information blocking even when sharing would improve care.

Technical Implementation Protocol: FHIR-Based DACP Integration

Purpose: To implement a standards-based approach for DACP data exchange across heterogeneous health information systems.

Materials and Equipment:

  • FHIR Server (e.g., HAPI FHIR, IBM FHIR Server)
  • Terminology Server (e.g., Ontoserver, Snowstorm)
  • Identity and Access Management system
  • Security and audit logging infrastructure

Procedure:

  • FHIR Profile Development (Weeks 1-4)

    • Create FHIR Implementation Guides for DACP resources
    • Define profiles for key DACP elements: Advance Directives, Goals of Care, Surrogate Decision-Makers
    • Establish value sets for DACP-specific terminologies

  • API Implementation (Weeks 5-8)

    • Develop RESTful FHIR APIs for DACP resource operations
    • Implement SMART on FHIR for authentication and authorization
    • Create bulk data export capabilities for aggregated analytics

  • Terminology Services Integration (Weeks 9-12)

    • Map local clinical codes to standard terminologies (SNOMED CT, LOINC)
    • Implement terminology translation services for legacy system integration
    • Create validation services for coded DACP data elements

  • Security and Access Control (Weeks 13-16)

    • Implement OAuth 2.0 for authentication and authorization
    • Create granular consent management for sensitive DACP information
    • Develop audit logging and access tracking capabilities

  • Testing and Validation (Weeks 17-20)

    • Conduct connectivity testing with partner systems
    • Perform data integrity and accuracy validation
    • Execute security penetration testing and vulnerability assessment

Validation Metrics:

  • API response times and system availability
  • Data accuracy through comparison with source systems
  • User authentication and authorization success rates
  • System interoperability with external EHR platforms

Table 3: Essential Research Reagents and Resources for DACP Implementation Studies

Resource Category Specific Tools/Solutions Application in DACP Research Key Considerations
Implementation Frameworks Normalization Process Theory (NPT), Theoretical Domains Framework (TDF), Consolidated Framework for Implementation Research (CFIR) Understanding implementation determinants, designing implementation strategies, evaluating adoption processes Select framework based on research question; NPT particularly valuable for complex interventions like DACP [36]
Evaluation Metrics ACP Fidelity Scale [37], NoMAD Implementation Measure [35], Utilization statistics Measuring implementation success, assessing intervention fidelity, tracking system adoption Combine quantitative metrics with qualitative insights; assess both implementation process and patient outcomes
Data Standards HL7 FHIR, SNOMED CT, LOINC, Advance Care Plan CDS (FHIR Resource) Ensuring semantic interoperability, supporting data exchange, enabling cross-system communication Implement standards consistently; use terminology services for mapping local codes [39]
Technical Infrastructure FHIR Servers, API Management Platforms, Terminology Servers, Identity Management Systems Building interoperable DACP systems, ensuring secure data exchange, maintaining data quality Consider hybrid approaches; ensure compliance with regional data protection regulations [40]
Stakeholder Engagement Tools Theory of Change Workshops, Semi-structured Interview Guides, Focus Group Protocols Understanding multi-stakeholder perspectives, co-designing implementation strategies, validating findings Engage diverse stakeholders including patients, caregivers, and multiple healthcare professional groups [35]

The implementation of Digital Advance Care Planning systems represents a critical opportunity to ensure that patient preferences guide medical care across settings. However, current evidence indicates significant challenges in system design, implementation, and interoperability that limit their potential impact. The protocols and frameworks presented in this application note provide researchers and implementers with evidence-based approaches to address these challenges.

Future research should prioritize developing tailored implementation strategies for different care settings, addressing semantic interoperability challenges, and evaluating the impact of DACP on patient-centered outcomes. Additionally, more work is needed to understand how to effectively engage healthcare professionals with these systems and how to support patient and caregiver access to and use of DACP platforms. As interoperability standards continue to evolve and implementation science advances, DACP systems have the potential to become more effective tools for ensuring that care aligns with patient values and preferences across the healthcare continuum.

Application Notes & Protocols

Quantitative Outcomes of ACP Interventions

Table 1: Efficacy of Advance Care Planning Interventions on Key Outcomes

Intervention Category Key Outcome Measures Quantitative Results Population / Study Context
Culturally Tailored Program (MY WAY) [44] ACP Barriers; ACP Facilitators; Readiness; Self-Efficacy; Notarized Advance Care Plan Completion Barriers decreased; Facilitators, readiness, and self-efficacy increased; 79.1% increase (76 more individuals) in notarized plan completion [44]. American Indian and Alaska Native (AIAN) peoples in a quasi-experimental, waitlist-controlled trial (N=113) [44].
Conversation Game (Hello) [13] Advance Directive (AD) Completion; Performance of ACP Behaviors Participants consistently reported performing at least one ACP behavior after playing (e.g., completing an AD, discussing end-of-life issues with loved ones) [13]. Underserved communities across the USA in a cluster randomized controlled trial (Project Talk Trial, target N=1500) [13].
Community Workshops (The Conversation Project) [13] Advance Directive (AD) Completion ACP workshop format used as an active comparator in a randomized controlled trial to motivate ACP behaviors [13]. Underserved communities across the USA in a cluster randomized controlled trial (Project Talk Trial) [13].
Meta-Review of Diverse ACP Interventions [45] Care Consistent with Goals; Documentation of Preferences; Decisional Conflict; Hospital Utilization 14 reviews evidenced significant increases in patients receiving care consistent with goals; 12 reviews evidenced significant increases in documenting preferences; 15 reviews evidenced decreased hospital utilization; Impact on decisional conflict was mixed [45]. Adults living with an advanced illness, as per a meta-review of 39 published reviews (2015-2025) [45].
ACP Readiness-Focused Interventions [46] Overall Readiness for ACP; Readiness for Specific Behaviors (e.g., appointing a proxy) Statistically significant slight improvement in overall readiness (Mean Difference = 0.19, 95% CI: 0.02–0.36); No significant effects on readiness for specific behaviors [46]. Systematic review and meta-analysis of 8 Randomized Controlled Trials (N=1216) [46].

Detailed Experimental Protocols

Protocol 1: Culturally Tailored ACP Intervention (MY WAY)

This protocol is adapted from a quasi-experimental, waitlist-controlled trial designed for a specific American Indian Tribe [44].

  • Objective: To test the efficacy of a culturally tailored ACP intervention on reducing barriers and increasing facilitators, readiness, self-efficacy, and notarized advance care plan completion.
  • Population: Tribal citizens, spouses, first descendants, or citizens of other AIAN Tribes, aged ≥18 years, residing within the Tribal service area [44].
  • Intervention Workflow:
    • Community Information Session (CIS): A group session to introduce ACP concepts within a culturally appropriate framework.
    • Individual Sharing Session (SS): A one-on-one session to facilitate personal ACP discussions and complete documentation. Participants who attend both CIS and SS are considered to have completed the intervention [44].
  • Data Collection: Data are collected via interviewer-administered surveys on three occasions:
    • Intervention Group: Baseline survey, post-program survey, and a 6-month follow-up survey.
    • Waitlist Control Group: Control baseline survey, intervention baseline survey, and post-program survey [44].
  • Outcome Measures:
    • Primary: Change in scores for ACP barriers, facilitators, readiness, and self-efficacy; rate of notarized advance care plan completion [44].
    • Key Consideration: The entire protocol, from recruitment to intervention content and delivery setting, was developed with guidance from a Community Advisory Board to ensure cultural responsiveness [44].
Protocol 2: Cluster Randomized Controlled Trial of Conversation Activities (Project Talk Trial)

This protocol outlines a three-armed cluster RCT comparing two ACP interventions against an attention control in underserved communities [13].

  • Objective: To compare the efficacy of two conversational ACP interventions (a game and a workshop) against a control in motivating advance directive completion.
  • Population & Setting: Participants recruited through 75 community-based host organizations (venues) in underserved communities across the USA, including Black, Hispanic, and rural populations. Each venue hosts ~20 participants [13].
  • Study Arms:
    • Arm 1 (Intervention): The Hello conversation game, a card-based game with open-ended questions about values and end-of-life preferences [13].
    • Arm 2 (Active Comparator): The Conversation Project workshop, a nationally utilized group workshop format for ACP conversations [13].
    • Arm 3 (Attention Control): TableTopics game, a conversation game on non-health-related topics to control for social interaction [13].
  • Primary Outcome: Completion of a visually verified advance directive at 6 months post-event [13].
  • Secondary Outcomes:
    • Other ACP behaviors and engagement.
    • Quality of communication.
    • Impact of sociocultural environment on ACP (via qualitative interviews).
    • Implementation and sustainability data [13].
Protocol 3: Co-Production of Community ACP Workshops

This qualitative protocol describes the development of culturally appropriate ACP workshops for South Asian elders [47].

  • Objective: To explore and describe the use of co-production to develop and deliver community-based ACP workshops for a minoritised ethnic community.
  • Population: South Asian elders, charity staff members, and community co-researchers in a London (UK) community setting [47].
  • Co-Production Process:
    • Partnership: Collaboration between two charities, one with strong community ties and trust.
    • Development: Transparent communication and mutual respect between partners to design the workshop content and format.
    • Delivery: Four community workshops were held, facilitated in relevant languages (English, Hindi, Urdu, Punjabi) [47].
  • Data Collection & Analysis:
    • Methods: Workshop observations, semi-structured interviews with charity staff, and focus groups with workshop participants.
    • Analysis: Thematic analysis of qualitative data [47].
  • Key Outcomes:
    • Process: A community-led approach was fundamental.
    • Impact: Workshops were reported as useful and enjoyable, engendering a sense of agency and connection, and helping disseminate knowledge through the community [47].

Workflow and Conceptual Diagrams

G Start Start: ACP Intervention Delivery CulturallyTailored Culturally Tailored Program Start->CulturallyTailored ConversationGame Conversation Game (Hello) Start->ConversationGame CoProdWorkshop Co-Produced Workshop Start->CoProdWorkshop CIS Community Information Session (Group) CulturallyTailored->CIS Step 1 PlayGame Participants Play Card Game ConversationGame->PlayGame Structured Activity BuildPartner Build Equal Partnership (Community & Organization) CoProdWorkshop->BuildPartner Foundation SharingSession Individual Sharing Session CIS->SharingSession Step 2 Outcomes1 Outcomes: Reduced Barriers Increased Self-Efficacy Increased Plan Completion SharingSession->Outcomes1 Leads to Discuss Group Discussion on Values & Preferences PlayGame->Discuss Prompts Outcomes2 Outcomes: ACP Behaviors Advance Directive Completion Discuss->Outcomes2 Motivates DevelopContent Co-Develop Culturally Relevant Content BuildPartner->DevelopContent Co-Design Deliver Deliver Interactive Community Workshop DevelopContent->Deliver In Relevant Languages Outcomes3 Outcomes: Community Agency Knowledge Dissemination Deliver->Outcomes3 Generates

Diagram 1: Workflow of Novel ACP Intervention Approaches. This diagram illustrates the sequential processes for three distinct types of ACP interventions, from initiation to key outcomes.

G ACP ACP Intervention P_Process Process Outcomes (e.g., Readiness, Self-Efficacy) ACP->P_Process A_Actions Action Outcomes (e.g., Documenting Preferences, Conversations with Surrogates) ACP->A_Actions Q_Care Quality of Care Outcomes (e.g., Care Consistent with Goals, Satisfaction with Care) ACP->Q_Care H_Utilization Healthcare Utilization (e.g., Hospital Admissions, Place of Death) ACP->H_Utilization Refines Refines Intervention Design P_Process->Refines Influences Directly Influences Care Quality A_Actions->Influences Informs Informs Policy & Practice Q_Care->Informs Evaluates Evaluates System Impact H_Utilization->Evaluates

Diagram 2: Logic Model of ACP Intervention Outcomes. This diagram shows the logical relationships between ACP interventions and different categories of outcomes, from proximal process measures to distal healthcare impacts, based on a standardized framework [45].

Research Reagent Solutions Toolkit

Table 2: Essential Materials and Tools for ACP Intervention Research

Item / Solution Function in ACP Research Example Application / Notes
Validated ACP Readiness Scale Quantifies an individual's stage of change regarding ACP engagement, used as a key process outcome [46]. Used in the MY WAY trial and the readiness meta-analysis to measure changes pre- and post-intervention [44] [46].
'Hello' Conversation Game An intervention tool that reframes ACP as a serious game to overcome reluctance and facilitate discussions [13]. Used in the Project Talk Trial (Arm 1) and a pilot study with cancer patients and their care partners [48] [13].
The Conversation Project Workshop Kit A structured, nationally utilized workshop format that serves as an active comparator for community-based ACP interventions [13]. Used as an active comparator (Arm 2) in the Project Talk Trial [13].
Culturally Tailored ACP Booklets/Guides Patient materials adapted to reflect specific cultural values, beliefs, and practices about death and healthcare [44]. Developed through a community-led process for the MY WAY intervention and the South Asian elder workshops [44] [47].
Community Advisory Board (CAB) Not a reagent, but a critical methodological resource for ensuring cultural appropriateness, building trust, and guiding recruitment and intervention design [44]. Essential for research with underserved populations, as used in the MY WAY trial and the co-production study [44] [47].
Visual Verification of Advance Directives A rigorous method for confirming the primary outcome of advance directive completion, reducing reliance on self-report [13]. Served as the primary outcome measure in the Project Talk Trial protocol [13].

Navigating Implementation Barriers: Multi-Level Strategies for System Optimization

Application Notes

Context within Advance Care Planning Implementation Framework Research

Within the broader thesis on Advance Care Planning (ACP) implementation frameworks, understanding patient-identified barriers is crucial for developing effective, patient-centered interventions. ACP is a communication process that supports patients, their relatives, and healthcare professionals in making future healthcare decisions aligned with patient values and preferences [20] [49]. Despite evidence supporting ACP benefits and positive patient attitudes, a significant evidence-to-practice gap persists [20] [50]. Research indicates that implementing complex interventions like ACP requires a system-wide approach, addressing factors from individual to national levels [20]. This document details the specific patient-level barriers of irrelevance perception, information gaps, and relationship concerns, providing quantitative data and methodological protocols to facilitate their measurement and address within implementation research.

Quantitative Profiling of Patient-Identified Barrier Themes

A foundational study by Sudore et al. (2009) systematically quantified barriers to multiple ACP steps among 143 diverse, older adults [51]. The research identified six major barrier themes, with "Perceiving ACP as irrelevant" being the most frequently endorsed across all ACP steps [51]. Table 1 summarizes the prevalence of these barrier themes in the study cohort, providing a quantitative baseline for researchers assessing barrier profiles in target populations.

Table 1: Prevalence of Major Barrier Themes to Advance Care Planning (n=143)

Barrier Theme Prevalence Description
Perceiving ACP as irrelevant 84% Feeling too healthy; believing ACP is not currently applicable; preferring to leave health in God's hands [51].
Personal barriers 53% Emotional factors (e.g., discussion causes nervousness, sadness); being too busy; not wanting to think about death [51].
Relationship concerns 46% Worrying about worrying family/friends; discomfort bringing up the topic; distrust of family/friends or their reactions [51].
Information needs 36% Lack of sufficient information about personal health or healthcare choices; need for help understanding forms [51].
Health encounter time constraints 29% Perception that the doctor is too busy; having too many other medical problems to discuss [51].
Problems with advance directives 29% Forms perceived as too hard to fill out; not knowing what the form is for; not liking medical forms [51].

Barrier-Step Specificity and Interrelationships

The same study revealed that while some barriers are pervasive, others are more specific to particular ACP steps. The perception of irrelevance was a dominant barrier at every step: contemplation, discussion with family/friends, discussion with doctors, and documentation [51]. In contrast, relationship concerns were particularly salient for discussions with family and friends, while time constraints were a specific barrier for discussions with doctors, and problems with advance directives specifically impeded the documentation step [51]. Figure 1 maps these primary barriers onto the ACP process, illustrating the points at which they most significantly impact patient engagement.

G ACP_Process ACP Process Contemplation 1. Contemplation of Values & Wishes ACP_Process->Contemplation FamilyDiscussion 2. Discussion with Family & Friends Contemplation->FamilyDiscussion DoctorDiscussion 3. Discussion with Healthcare Provider FamilyDiscussion->DoctorDiscussion Documentation 4. Documentation of Wishes DoctorDiscussion->Documentation Irrelevance Perceiving ACP as Irrelevant (84%) Irrelevance->Contemplation Irrelevance->FamilyDiscussion Irrelevance->DoctorDiscussion Irrelevance->Documentation Relationship Relationship Concerns (46%) Relationship->FamilyDiscussion Time Health Encounter Time Constraints (29%) Time->DoctorDiscussion Info Information Gaps (36%) Info->Documentation AD_Problems Problems with Advance Directives (29%) AD_Problems->Documentation

Figure 1. Primary patient-identified barriers impacting specific ACP process steps. The dominant barrier of perceiving ACP as irrelevant affects all stages, while other barriers have more specific interference points. Percentages indicate overall prevalence of each barrier theme in the study population [51].

Experimental Protocols

Protocol for Measuring Patient-Identified ACP Barriers

This protocol is adapted from the methodology of Sudore et al. and is designed for robust qualitative and quantitative data collection on patient-identified barriers [51].

Study Design and Participant Recruitment
  • Design: Descriptive study employing mixed-methods (quantitative and qualitative analysis) via structured telephone or in-person interviews.
  • Participants: Target sample of approximately 150 adults aged ≥50 years, recruited from general medicine clinics. Purposeful sampling is recommended to ensure diversity in race/ethnicity, socioeconomic status, and health literacy.
  • Eligibility: English or Spanish speakers; cognitively able to participate (as determined by physician screen or brief cognitive assessment); no prior completion of an advance directive.
  • Timeline: Baseline assessment with a 6-month follow-up interview to assess engagement and barriers after exposure to ACP information.
Data Collection Procedures
  • Baseline Data Collection: Record demographics, clinical characteristics, and health literacy.
  • Intervention/Exposure: Provide participants with standard and/or redesigned advance directive forms to review. No additional educational intervention is required.
  • Six-Month Follow-Up Assessment:
    • Measure Engagement: Use closed-ended questions to assess engagement in four ACP steps:
      • "Since the day you finished the study, have you thought about the type of medical care you might want if you were sick or near the end of your life?" (Contemplation)
      • "...talked with your family or friends about...?" (Discussion with family/friends)
      • "...talked with your doctor about...?" (Discussion with clinician)
      • "...tried to or have you filled out an advance directive for yourself?" (Documentation)
    • Elicit Barriers: For each ACP step not engaged in, elicit barriers using a combined closed- and open-ended approach.
      • Closed-Ended List: Read a pre-defined list of barriers (e.g., "You think that you are too healthy," "It makes you nervous, sad, or depressed") and ask participants to endorse "yes" or "no" for each [51].
      • Open-Ended Question: For each step, ask: "Are there any other reasons?" to capture unanticipated barriers. Participants can endorse multiple barriers.
Data Analysis
  • Quantitative Analysis: Calculate the percentage of participants not engaging in each ACP step. Calculate the frequency of each barrier theme overall and for each ACP step.
  • Qualitative Analysis: Use thematic content analysis to categorize open-ended responses. Refine barrier definitions and identify new, emergent themes.
  • Synthesis: Create a comprehensive table (see Table 1) summarizing barrier themes, prevalence, and descriptions.

The Scientist's Toolkit: Research Reagent Solutions

Table 2 outlines essential materials and tools for research on patient-identified ACP barriers, based on methodologies from the cited literature.

Table 2: Key Research Reagents and Materials for ACP Barrier Studies

Item Function/Application in Research Example/Notes
Semi-Structured Interview Guide To ensure consistent, comprehensive data collection across participants while allowing for probing of emergent themes. Guide should include questions on all ACP steps (contemplation, discussions, documentation) and use both closed and open-ended prompts for barriers [20] [51] [52].
Pre-Defined Barrier List To quantitatively assess the prevalence of known barriers, facilitating comparison across studies and populations. List should be derived from prior literature and include items for irrelevance, personal, relationship, information, time, and advance directive barriers [51].
Advance Directive Forms To standardize the initial exposure or "intervention" before assessing barriers at follow-up. Use standard forms and/or redesigned forms with improved readability and graphics to test different tools [51].
Theoretical Framework (CFIR) To guide study design, data analysis, and interpretation, ensuring a systematic approach to implementation determinants. The Consolidated Framework for Implementation Research helps categorize barriers at multiple levels: individual, organizational, and system-wide [20] [52].
Qualitative Data Analysis Software To manage, code, and analyze transcribed interview data efficiently. Software such as NVivo facilitates thematic analysis and maintains an audit trail for trustworthiness [52].
Health Literacy Assessment Tool To evaluate and control for the influence of health literacy on ACP engagement and perceived barriers. Use validated tools like the Newest Vital Sign (NVS) or Short Assessment of Health Literacy (SAHL) [51].

The systematic mapping of patient-identified barriers provides an empirical foundation for tailoring ACP implementation strategies. An effective framework must address the dominant perception of irrelevance through public awareness campaigns and clinician training to identify "trigger" moments, such as new diagnoses of life-limiting conditions or severe functional decline [49]. Addressing information gaps requires developing and testing patient-friendly materials and decision aids. Mitigating relationship concerns involves incorporating communication skills training for clinicians and support for family conversations [51] [49]. Ultimately, overcoming these patient-level barriers requires a multi-faceted approach that is integrated with efforts to address organizational and system-level factors, such as lack of prioritization, time constraints, and documentation systems, as identified in the broader thesis research [20] [50] [53].

Application Notes: Quantifying the Implementation Hurdles

Advance care planning (ACP) implementation is hindered by a complex interplay of organizational and systemic barriers. These hurdles, which persist across various healthcare systems and clinical settings, significantly impact the consistent integration of ACP into routine care. The following data, synthesized from recent implementation studies, provides a quantitative and qualitative overview of these critical challenges.

Table 1: Organizational and Systemic Barriers to ACP Implementation

Barrier Category Specific Challenges Reported Impact/Prevalence
Workload & Time Constraints Lack of protected time; competing clinical priorities during patient encounters; high-acuity care demands [20] [21]. A primary barrier across hospitals, primary care, and nursing homes; conversations are time-intensive and difficult to integrate into short visits [54] [21].
Reimbursement & Financial Models Lack of or unfamiliarity with reimbursement mechanisms; insufficient financial incentives for organizations; variability in private insurer coverage [20] [55]. In the U.S., Medicare provides reimbursement via CPT codes 99497 and 99498, yet many providers do not bill for this service [55].
Cultural & Attitudinal Hurdles Healthcare professional discomfort with end-of-life discussions; lack of patient awareness; misconception that ACP is only about death [20] [21]. Personal attitudes and cultural norms in healthcare delivery are significant barriers, requiring a major cultural shift to overcome [20].
System & Process Gaps Lack of standardized routines and clinical pathways; unclear responsibility for initiation; inadequate documentation and information-sharing systems [20] [21]. Leads to missed opportunities and overtreatment; a system-wide approach is identified as a critical need [20] [21].
Collaboration & Coordination Lack of coordination between acute, hospital palliative, and long-term care units; poor communication systems across healthcare levels [20] [54]. Visitation restrictions during the COVID-19 pandemic magnified pre-existing coordination issues [54].

Experimental Protocols for Barrier Mitigation

To address these hurdles, researchers have developed and tested specific implementation strategies. The following protocols detail methodologies for establishing team-based workflows and evaluating reimbursement implementation.

Protocol for a Team-Based ACP Workflow

This protocol outlines a structured approach to redistribute ACP tasks, thereby mitigating workload constraints and normalizing ACP conversations.

  • Objective: To design and implement a standardized, team-based workflow that increases ACP completion rates without overburdening physicians.
  • Background: The most effective way to increase ACP completion is repeated face-to-face counseling, but it is not practical for physicians to do this alone. A team-based model leverages multiple staff roles to prime patients, provide education, and handle documentation [56].
  • Materials:
    • Electronic Health Record (EHR) system with ACP templates and data fields.
    • Health Care Agent (HCA) patient education form and short-form advance directive.
    • Scripted conversation prompts for staff and clinicians.
  • Methodology:
    • Process Mapping & Role Assignment:
      • Map the current patient visit workflow from check-in to checkout.
      • Assign specific ACP tasks to appropriate team members:
        • Front Desk Staff: Provide the HCA education form to all eligible patients during check-in.
        • Medical Assistant/Nurse: Review the form with the patient and identify readiness to discuss further.
        • Physician/Clinician: Address complex, clinical aspects of ACP, answer patient questions, and make a warm handoff if more support is needed.
        • Social Worker/RN/Care Coordinator: Provide in-depth patient guidance, help complete forms, and offer telephonic support.
        • Business Office Staff: Provide onsite notarization of completed documents.
    • Workflow Integration:
      • Integrate the HCA form as a pre-visit activity in the EHR, particularly for telehealth visits.
      • Use standardized dot-phrases or templates in the EHR (e.g., ".ACP") for efficient and consistent documentation.
      • Establish a system for tracking returned forms from patients who need more time.
    • Training and Execution:
      • Conduct training sessions for all staff on their roles, using the provided scripts to practice initiating ACP conversations.
      • Implement the workflow for a defined patient population (e.g., all patients aged 65+ or those with chronic conditions).
  • Evaluation Metrics:
    • Pre- and post-implementation rate of ACP documentation in the EHR.
    • Staff and clinician surveys on perceived workload and comfort with ACP.
    • Patient completion rates of HCA designation and full advance directives.

Protocol for Implementing and Evaluating ACP Reimbursement

This protocol provides a framework for healthcare organizations to systematically integrate ACP billing into clinical practice, addressing the financial sustainability barrier.

  • Objective: To ensure appropriate reimbursement for ACP services provided to eligible patients (e.g., Medicare beneficiaries).
  • Background: Many clinicians are authorized to bill for ACP but do not, missing out on deserved revenue and a key incentive for providing this service [55].
  • Materials:
    • CMS documentation on CPT codes 99497 (first 30 minutes) and 99498 (each additional 30 minutes).
    • Local billing expert consultation.
    • Standardized EHR documentation template for ACP services.
  • Methodology:
    • Eligibility and Payer Policy Confirmation:
      • Identify which providers in the organization are authorized to bill for ACP (e.g., Physicians, Nurse Practitioners, Clinical Nurse Specialists, Physician Assistants).
      • Confirm coverage policies with all major payers, including Medicare Advantage and private insurers, as they may adopt Medicare rules or have their own policies.
    • Documentation Standardization:
      • Develop a mandatory documentation template in the EHR that captures:
        • Time: Total face-to-face time spent on ACP, separate from other services.
        • Participants: Names and roles of the patient, family members, surrogate, and providers involved.
        • Agreement: Notation of the patient's/surrogate's agreement to participate in ACP.
        • Content Summary: High-level summary of the values, goals, and preferences discussed.
        • Documents: Presence of any completed advance directive or healthcare proxy, if applicable.
    • Staff Education and Workflow Integration:
      • Train billing-eligible clinicians and their support staff on the time-based coding requirements and the new documentation template.
      • Educate clinicians that ACP can be billed multiple times for a patient, particularly when there is a change in health status or wishes.
      • Integrate a prompt into relevant visit types (e.g., Annual Wellness Visits, chronic care management) to consider an ACP conversation.
  • Evaluation Metrics:
    • Number of ACP services billed per month pre- and post-implementation.
    • Revenue generated from ACP-specific CPT codes.
    • Adherence to complete documentation standards as per audit.

Visualization of Systemic Hurdles and Mitigation Pathways

The following diagram synthesizes the core organizational and systemic hurdles described in the research and maps them to the essential implementation strategies required for mitigation.

G cluster_hurdles Hurdles cluster_solutions Mitigation Strategies Hurdles Organizational & Systemic Hurdles Workload Workload Constraints & Competing Priorities Hurdles->Workload Reimbursement Lack of Reimbursement & Financial Models Hurdles->Reimbursement Culture Cultural & Attitudinal Hurdles Hurdles->Culture Systems System & Process Gaps Hurdles->Systems Collaboration Collaboration & Coordination Failures Hurdles->Collaboration TeamBased Structured Team-Based Workflow Workload->TeamBased Reimburse Billing Integration & Financial Incentives Reimbursement->Reimburse Training Clinician Education & Communication Skills Culture->Training StdProcess Standardized Processes & Digital Systems Systems->StdProcess Policy Policy Development & Cross-Setting Protocols Collaboration->Policy Solutions Essential Implementation Strategies Solutions->TeamBased Solutions->Reimburse Solutions->Training Solutions->StdProcess Solutions->Policy

ACP Hurdles and Mitigation Pathways

The Scientist's Toolkit: Research Reagents & Implementation Solutions

For researchers designing and evaluating ACP implementation frameworks, specific "reagents" or tools are essential for conducting rigorous studies. The following table outlines key resources for investigating the organizational and systemic hurdles.

Table 2: Key Resources for ACP Implementation Research

Research Tool / Solution Function in Implementation Research
Consolidated Framework for Implementation Research (CFIR) A meta-theoretical framework used to guide systematic assessment of multilevel implementation contexts, including the "inner setting" (organizational level) and "outer setting" (national level) [20].
Knowledge-to-Action (KTA) Framework An iterative action model for guiding the process of translating knowledge into practice; useful for planning the phases of implementing an ACP program or guideline [7].
Theoretical Domains Framework (TDF) A behavioral framework used to identify and map barriers to behavioral change (e.g., why clinicians do not initiate ACP) and to link these barriers to appropriate intervention strategies [7].
Digital ACP (DACP) Systems / EPaCCS Digital platforms for real-time documentation and sharing of ACP preferences. These are critical experimental tools for studying how health information technology can overcome process gaps and coordination failures [2].
Standardized ACP Conversation Scripts & Prompts Validated communication tools (e.g., REMAP, SUPER) used to train clinicians and standardize the ACP intervention in research settings, reducing variability and mitigating skill-based barriers [57] [56].
Video Patient Decision Aids Multimedia educational tools used in interventions to prime patients for ACP conversations, provide standardized information, and decrease reliance on extensive clinician explanation time [57] [58].

Advance care planning (ACP) is a process that enables individuals to identify their values, reflect on serious illness scenarios, and define goals and preferences for future medical treatment and care [2]. Despite its recognized importance, the implementation of ACP into routine clinical practice remains challenging, with low completion rates often documented late in a patient's illness trajectory or not at all [2] [6]. These implementation gaps persist partly because traditional evaluation methods are mismatched with the speed of healthcare innovation and the dynamic needs of healthcare delivery partners [59].

The Lightning Report Method offers a rapid qualitative approach specifically designed to address this mismatch. Developed and refined at Stanford over 2.5 years across multiple projects, this method provides real-time, actionable insights to support corrective action during implementation [59] [60]. This Application Note details the protocols for applying the Lightning Report Method specifically to optimize ACP workflows, providing researchers and implementation scientists with a structured yet flexible framework for rapid evaluation and iterative improvement.

The Lightning Report Method: Core Principles and Relevance to ACP

The Lightning Report Method is a type of rapid assessment procedure (RAP) that culminates in a specific one-page product: the "Lightning Report" [59]. Its novelty lies in the application of a Plus/Delta/Insight debriefing structure to dynamic implementation evaluation [59] [60]. This analytic framework captures:

  • Plus: What is working well in the ACP workflow.
  • Delta: What needs to be changed or improved.
  • Insights: Ideas, recommendations, and potential solutions from participants or evaluators [59].

For ACP implementation, this method is particularly valuable. ACP is a complex intervention requiring a range of behaviors from those delivering or receiving the intervention at different levels of the healthcare system [6]. The Lightning Report Method facilitates the rapid identification of barriers and facilitators across these levels, enabling timely adaptations that are crucial for successful implementation [59] [6].

Table 1: Lightning Report Applications in Healthcare Contexts

Project Type Implementation Focus Key Lightning Report Findings
Team-Based Primary Care [59] Clinic redesign and workflow transformation Themes of communication, resources/staffing, and team cohesion.
National Life-Sustaining Decisions Initiative [59] Scaling a national ACP-related program 56% of coded findings related to "Inner Setting" (clinic-level factors).
Cancer Center Transformation [59] Organizational change in specialty care 39% of coded findings related to "Inner Setting" factors.
Digital Advance Care Planning (DACP) [2] Digital system implementation for ACP Identified need for end-user focus and information exchange across settings.

Experimental Protocols for ACP Workflow Evaluation

Protocol 1: Preplanning with Embedded Partners

Objective: To establish a partnered evaluation foundation by engaging subject matter experts and health care partners in the design phase.

  • Step 1 – Draft Data Collection Protocols: Develop draft protocols for interviews, focus groups, or observations based on ACP-specific implementation outcomes. For ACP, critical constructs to investigate from the Consolidated Framework for Implementation Research (CFIR) include Available Resources, Compatibility with existing workflows, and Patient Needs and Resources [59] [6].
  • Step 2 – Partner Review and Adaptation: Circulate drafts to ACP subject matter experts (e.g., palliative care leads, EHR specialists, clinical champions) and health care partners. Conduct brief conversations to approve, adapt, or tailor the protocol to the local context [59]. This collaborative approach is borrowed from community-based participatory research (CBPR) best practices.
  • Step 3 – Define ACP-Specific Outcomes: Collaboratively define what successful ACP implementation entails. Metrics may include the fidelity of ACP conversations (quality), the penetration rate (how widespread the practice is), and the implementation strategies used to support adoption [6].

Protocol 2: Iterative Data Collection and Rapid Synthesis

Objective: To gather and synthesize real-time data on ACP workflow implementation using the Plus/Delta/Insight framework.

  • Step 1 – Data Collection: Trained qualitative researchers conduct observations of ACP workflows and semi-structured interviews with key stakeholders (clinicians, nurses, social workers, patients, and carers) [59] [2]. Data is captured directly into a structured format (e.g., a secure Excel file) with dedicated columns for Plus, Delta, and Insight.
  • Step 2 – Team Debriefing: Ideally, two researchers participate in data collection and hold regular reflection breaks (e.g., 10-30 minutes every 2-3 interviews) to debrief and synthesize findings [59]. This consensus-building process enhances analytic validity by emphasizing areas of disagreement to limit bias.
  • Step 3 – Rapid Analysis: Researchers collaboratively analyze notes and memos, using the Plus/Delta/Insight as an a priori coding framework. This continuous, on-site analysis echoes qualitative consensus coding and constant comparison methods [59].

Protocol 3: Lightning Report Creation and Communication

Objective: To synthesize findings into a one-page Lightning Report that facilitates partnered evaluation and communication.

  • Step 1 – Synthesize Key Themes: Organize the most salient Plus, Delta, and Insight items into emergent themes. For ACP workflows, these often cluster around communication pathways, documentation processes, training needs, and resource constraints [59] [2].
  • Step 2 – Draft the One-Page Report: Create a concise, one-page document. Use clear, non-technical language and visual cues like bullet points to enhance readability for all stakeholders, including clinical leaders and administrators [59] [61].
  • Step 3 – Support Corrective Action: Present the Lightning Report to implementation partners and ACP stakeholders to guide immediate adaptations and "corrective action" for the ACP workflows [59] [60]. The report serves as a catalyst for discussion and iterative improvement.

Data Presentation and Analysis

Applying the Lightning Report Method across diverse projects reveals common patterns in implementation barriers. A comparative analysis of four projects showed a significant emphasis on internal setting factors.

Table 2: CFIR Domain Coding Distribution Across Projects

CFIR Domain Team-Based Primary Care Life-Sustaining Decisions Project Cancer Center Project Precision Health
Inner Setting (Clinic-level factors) ~50% (estimated) 56% 39% ~45% (estimated)
Intervention Characteristics ~25% (estimated) ~22% (estimated) ~30% (estimated) ~25% (estimated)
Process ~15% (estimated) ~15% (estimated) ~20% (estimated) ~20% (estimated)
Other Domains ~10% (estimated) ~7% (estimated) ~11% (estimated) ~10% (estimated)

Data derived from structured coding of 17 Lightning Reports using the Consolidated Framework for Implementation Research (CFIR) [59].

Quantitative fidelity measurements from ACP implementation studies further highlight the need for rapid improvement methods. A baseline assessment in 12 geriatric units using a novel ACP Fidelity Scale, which included subscales for implementation, quality, and penetration, revealed severe implementation deficits.

Table 3: Baseline ACP Fidelity Measurements in Geriatric Hospital Units

Fidelity Subscale Mean Score (1-5 Scale) Standard Deviation Interpretation
Implementation 1.21 0.08 No recommended implementation measures in place.
Quality 1.11 0.48 ACP practiced sporadically in only one unit.
Penetration Rate 1.08 0.28 Only 10% of patients had ACP in one unit.

Scores based on a 1-5 scale where 1 indicates no implementation and 5 indicates full implementation [6].

Workflow Visualization

The following diagram illustrates the sequential yet iterative process of the Lightning Report Method, showcasing its application from preplanning through to feedback and adaptation.

G Preplanning Preplanning DataCollection DataCollection Preplanning->DataCollection Finalized Protocols RapidSynthesis RapidSynthesis DataCollection->RapidSynthesis Plus/Delta/Insight Notes ReportCreation ReportCreation RapidSynthesis->ReportCreation Synthesized Themes Feedback Feedback ReportCreation->Feedback One-Page Report Feedback->Preplanning Adapted Protocols Feedback->DataCollection New Cycle

The Scientist's Toolkit: Research Reagent Solutions

Table 4: Essential Methodological Tools for ACP Workflow Evaluation

Tool / Framework Function in ACP Evaluation Application Context
Plus/Delta/Insight Framework Core analytic structure for rapid debriefing and note-taking. Captures what works, needs change, and ideas. Used during data collection and synthesis to categorize findings [59].
Consolidated Framework for Implementation Research (CFIR) Meta-theoretical framework used to structure data collection and analyze barriers/facilitators. Guides interview question development and provides a taxonomy for cross-project analysis [59].
ACP Fidelity Scale Quantitative tool to measure the degree of ACP implementation, quality, and penetration. Assesses baseline implementation and monitors the effects of implementation programs [6].
Normalization Process Theory (NPT) Implementation theory to explore factors that influence the integration of ACP into routine work. Informs interviews to understand how ACP becomes a normalized practice [2].
Theory of Change Workshops Participatory method to develop a conceptual model depicting how an intervention (e.g., DACP) is implemented. Engages stakeholders to map implementation pathways and outcomes [2].

The Lightning Report Method provides a rigorous yet rapid qualitative approach perfectly suited to the complex challenges of implementing and optimizing ACP workflows. By generating real-time, actionable feedback through its structured Plus/Delta/Insight framework, it empowers research and clinical teams to move beyond simply identifying problems to enabling immediate corrective action. This methodology aligns with the goals of Learning Health Systems and represents a powerful tool for researchers and scientists dedicated to improving the quality and penetration of patient-centered advance care planning.

Application Notes: Synthesizing the Evidence Base

Advance Care Planning (ACP) implementation is inherently challenged by diverse patient values and unprepared healthcare systems. Effective integration requires a dual approach: robust cultural competence training for professionals and multi-faceted implementation strategies tailored to specific care contexts. The evidence indicates that overcoming these barriers is not merely an additive process but requires a systemic redesign of how ACP is approached, delivered, and sustained within healthcare services [7] [62].

The following table summarizes the core quantitative evidence on cultural competence training and its intersection with ACP implementation outcomes.

Table 1: Evidence Base for Cultural Competence and ACP Implementation Strategies

Strategy or Outcome Evidence Rating / Quantitative Effect Key Findings and Context
Cultural Competence Training Scientifically Supported for improving provider knowledge, understanding, and skills [63]. Effective across diverse professionals (nurses, physicians, pharmacists). Improves patient satisfaction and provider cultural sensitivity, particularly with in-person, tailored training [63] [64].
Onsite ACP Coordinator Significant increases in ACP reach and effectiveness [3]. In primary care, Clinic A: Reach increased from 43.6% to 53.6%; Effectiveness (document completion) from 20.2% to 22.8%. Clinic B: Reach increased from 2.6% to 27.9%; Effectiveness from 1.9% to 18.4% [3].
Rapid Process Improvement (Lightning Report) Facilitated significant ACP improvements alongside coordinator role [3]. A rapid qualitative feedback mechanism used to adapt workflows, train providers, and develop patient materials, supporting the core implementation strategy [3].
Baseline ACP Fidelity in Hospitals Extremely low implementation across 12 geriatric units [4]. Mean fidelity scores on a 5-point scale: Implementation=1.21, Quality=1.11, Penetration Rate=1.08. Highlights the systemic nature of the implementation gap [4].
ACP for Heart Failure Patients Positive impact on end-of-life care choices [65]. Meta-analysis shows ACP significantly increases the willingness and proportion of older CHF patients to choose and receive hospice services [65].

Key Barriers in ACP Implementation

The failure to integrate ACP into routine care stems from interconnected barriers at multiple levels:

  • Cultural and Knowledge Barriers: Patients' knowledge levels, traditional cultural values (e.g., filial piety in Chinese contexts that discourages direct discussions about death), and language differences can hinder ACP initiation and acceptance [66]. Within healthcare teams, a lack of self-awareness of one's own cultural assumptions and a lack of knowledge about patients' cultural backgrounds are significant impediments to effective communication [63] [67].
  • Provider-Level Barriers: Healthcare professionals frequently report a lack of confidence, skills, and time to conduct ACP conversations [66]. Feelings of insecurity in discussing existential issues and the limits of medicine are common, compounded by inadequate communication skills training [62].
  • System-Level Barriers: Unsupportive legal policies, fragmented health information systems that impede sharing of ACP documents, and a lack of dedicated resources (e.g., time, personnel, reimbursement) are critical systemic obstacles [62] [2] [66]. Organizational leadership commitment is often absent, and workflows are not designed to incorporate ACP seamlessly [3] [62].

Experimental Protocols

To generate evidence and test interventions for overcoming these barriers, researchers can employ the following detailed protocols.

Protocol 1: Mixed-Methods Evaluation of an ACP Implementation Strategy

This protocol is adapted from a primary care study that successfully increased ACP uptake using the PRISM framework [3].

1. Objective: To identify barriers and facilitators to ACP and evaluate the reach and effectiveness of two implementation strategies: an onsite ACP coordinator and the Lightning Report facilitation.

2. Study Design: A multi-stage, mixed-methods study guided by the Practical, Robust Implementation and Sustainability Model (PRISM). The design involves collecting and integrating qualitative and quantitative data concurrently over a multi-year period [3].

3. Setting and Population:

  • Setting: Primary care clinics serving diverse and underrepresented populations (e.g., Federally Qualified Health Centers, patient-centered medical homes).
  • Participants: Clinic staff (providers, nurses, social workers), patients aged 65+.

4. Detailed Methodology:

  • Qualitative Data Collection:
    • Conduct four cycles of semi-structured interviews and focus groups with clinic staff over 24-36 months.
    • Sample Questions: "What are the biggest challenges you face in initiating ACP?" "How does the current clinic workflow support or hinder these discussions?" "What is your comfort level in discussing end-of-life preferences with patients from cultures different from your own?"
    • Use rapid analysis techniques (e.g., the Lightning Report method) to synthesize findings quickly. This involves pre-planning, iterative data collection, rapid synthesis sessions with the research team, and creating a summary feedback report for the clinical site within weeks of data collection [3].
  • Quantitative Data Collection:
    • Extract data from Electronic Medical Records (EMR) at baseline and every six months.
    • Measures:
      • Reach: Proportion of eligible patients who had an ACP discussion documented.
      • Effectiveness: Proportion of eligible patients with a completed ACP document in their EMR.
  • Intervention:
    • Onsite ACP Coordinator: A dedicated staff member (e.g., social worker, nurse) identifies eligible patients, conducts or facilitates ACP conversations, and ensures documentation.
    • Workflow Integration: Use findings from the Lightning Reports to adapt the clinic workflow, educate providers, and develop patient-friendly educational materials.

5. Analysis:

  • Map qualitative themes (barriers/facilitators) to PRISM domains (recipients, intervention, implementation infrastructure, external environment).
  • Track changes in quantitative outcomes (reach, effectiveness) over time, comparing pre- and post-intervention rates.

Protocol 2: Cluster Randomized Controlled Trial (cRCT) for ACP Implementation

This protocol is based on a large-scale trial in Norwegian geriatric hospital units, designed to test a comprehensive implementation support package [62].

1. Objective: To evaluate whether enhanced implementation support, relative to usual care, improves the fidelity of ACP implementation and patient/family involvement.

2. Study Design: Multicentre, cluster randomized controlled trial. Geriatric hospital units are the unit of randomization and analysis.

3. Setting and Population:

  • Setting: Acute geriatric hospital units.
  • Participants: Patients (e.g., frail, older adults), their close relatives, attending clinicians, and all clinical staff on the units.

4. Detailed Methodology:

  • Randomization: 12 units are randomly allocated to intervention or control arms (6 per arm).
  • Intervention Arm: Receives a multi-component implementation package for 18 months:
    • Clinical Intervention: Structured ACP conversations focusing on patient values, goals, and treatment preferences.
    • Implementation Interventions:
      • Establishment of a local implementation team at each unit.
      • Dedicated ACP coordinator.
      • Regular network meetings for shared learning.
      • Training and supervision for health care personnel in ACP communication and cultural competence.
      • Introduction of standardized documentation tools.
      • Fidelity measurements with tailored feedback provided to the units.
    • Implementation Strategies: Securing leadership commitment, employing a "whole ward" approach, and using responsive evaluation to adapt the process [62].
  • Control Arm: Continues with usual care and receives the implementation support after the trial period.
  • Data Collection:
    • Primary Outcome: Change in ACP fidelity, measured using a novel ACP Fidelity Scale (assessing implementation, quality, and penetration rate) at baseline, mid-point, and post-intervention [4] [62].
    • Secondary Outcomes: Questionnaires with patients, next of kin, and staff; qualitative interviews; and analysis of healthcare utilization and cost data.

5. Analysis:

  • Compare changes in fidelity scores and other outcomes between intervention and control arms using appropriate statistical methods for cluster-randomized designs.
  • Use qualitative data to explore the experiences, barriers, and facilitators encountered during implementation.

Visualization of Implementation Strategy Logic

The following diagram illustrates the core components and logical flow of a comprehensive ACP implementation strategy as outlined in the cRCT protocol [62].

G cluster_core Implementation Core Strategy Leadership Leadership MultiComp Multi-Component Implementation Outcomes Outcomes A Leadership Commitment C Multi-Component Implementation Support A->C B Whole Ward Approach B->C D Responsive Evaluation C->D C1 ACP Coordinator Role C->C1 C2 Staff Training & Supervision C->C2 C3 Documentation Tools C->C3 C4 Fidelity Measurement & Feedback C->C4 D->C subcluster_support Components of Implementation Support O1 Improved ACP Fidelity C1->O1 C2->O1 C3->O1 C4->O1 O2 Enhanced Patient & Family Involvement O1->O2 O3 Sustainable ACP Practice O2->O3

Figure 1. Logic Model for ACP Implementation

The Scientist's Toolkit: Research Reagent Solutions

The following table details key instruments, frameworks, and tools essential for researching ACP implementation and cultural competence.

Table 2: Essential Reagents for ACP Implementation Research

Tool / Reagent Name Type Primary Function in Research
ACP Fidelity Scale [4] [62] Measurement Tool A novel, multi-dimensional scale to quantitatively measure the level of ACP implementation, its quality, and its penetration rate within a healthcare unit.
PRISM Framework [3] Implementation Science Framework Guides the evaluation of contextual factors (healthcare infrastructure, recipients, intervention characteristics) influencing the implementation and sustainability of ACP.
Theoretical Domains Framework (TDF) [7] Analysis Framework Used to map and categorize identified barriers to ACP (e.g., knowledge, skills, beliefs), which can then be linked to targeted intervention strategies.
Cultural Competence Training Modules [63] [67] [64] Intervention Component Standardized, evidence-based training programs (including virtual reality, interactive sessions) to improve providers' cultural knowledge, self-awareness, and communication skills.
Normalization MeAsure Development (NoMAD) [2] Implementation Measure A questionnaire based on Normalization Process Theory (NPT) used to understand and measure how healthcare professionals perceive and integrate (normalize) ACP into routine work.
Lightning Report Method [3] Rapid Feedback Tool A structured process for rapid qualitative data collection, analysis, and feedback to clinical sites to facilitate timely problem-solving and workflow adaptation.

Measuring Impact and Efficacy: Validation Tools and Comparative Intervention Analysis

Advance care planning (ACP) is a critical process that enables individuals to define and communicate their goals, values, and preferences for future medical care [19]. Within implementation science, robust measurement tools are essential for evaluating the integration of evidence-based practices like ACP into routine care [6]. The ACP Practice Scale represents a recently developed instrument designed to quantitatively assess the engagement of health and social care professionals (HSCPs) in ACP activities with patients and their families [68]. This application note provides a detailed analysis of the psychometric properties of the ACP Practice Scale and establishes standardized protocols for its application in implementation research, addressing a significant gap in the reliable measurement of professional ACP practices, particularly in contexts without formal legal frameworks for advance directives [68].

Psychometric Properties of the ACP Practice Scale

Scale Development and Structural Validity

The ACP Practice Scale was developed through a rigorous methodological process to ensure its relevance and appropriateness for measuring professional ACP practices. The scale was adapted from established questionnaires created by Chen et al. and Hsieh et al., with permissions secured from the original authors [68]. The adaptation process emphasized focusing the items specifically on professional behaviors toward patients or their family members, distinguishing it from instruments that conflate professional practice with personal ACP engagement [68].

Table 1: Item Analysis and Factor Loadings of the ACP Practice Scale

Item Description Factor Loading Mean Score Critical Ratio (CR)
Discussed ACP with terminally ill patients or relatives 0.90 1.42 12.35*
Followed up ACP with terminally ill patients 0.85 1.28 10.84*
Discussed palliative or hospice care with terminally ill patients or relatives 0.78 1.35 11.92*
Discussed appointing a surrogate decision maker with terminally ill patients 0.71 1.19 9.76*

*All CR values statistically significant (p < 0.001)

Exploratory Factor Analysis (EFA) revealed a unidimensional structure with all four items loading strongly on a single factor, explaining 65.87% of the total variance in ACP practice [68]. The factor loadings ranged from 0.71 to 0.90, all exceeding the recommended threshold of 0.40, indicating a robust and coherent measurement construct focused specifically on professional ACP behaviors [68].

Reliability and Validity Metrics

The scale demonstrates strong psychometric properties regarding both reliability and validity, establishing it as a scientifically sound measurement instrument.

Table 2: Reliability and Validity Metrics of the ACP Practice Scale

Psychometric Property Metric/Value Interpretation
Internal Consistency Cronbach's α = 0.82 Good reliability
McDonald's Ω = 0.82 Good reliability
Content Validity I-CVI = 1.0 Excellent relevance
S-CVI/Ave = 1.0 Excellent overall relevance
Test-Retest Reliability ICC = 0.884 (p < 0.001) Excellent stability
Response Distribution "Yes" = 24.7% Low current practice
"No, but want to" = 65.1% High potential uptake
"No, and don't want to" = 10.2% Low resistance

The content validity was established through expert panel review, with both Item-Level Content Validity Index (I-CVI) and Scale-Level Content Validity Index (S-CVI) achieving perfect scores of 1.0, indicating excellent relevance as judged by subject matter experts [68]. The response distribution pattern reveals a notable gap between current practice and willingness to engage, highlighting the scale's utility in identifying training needs and implementation gaps [68] [69].

Experimental Protocol for Scale Validation

Instrument Administration and Data Collection

Phase 1: Preparation and Sampling

  • Target Population: Health and social care professionals (physicians, nurses, social workers) in hospitals, long-term care facilities, and day care centers [68].
  • Sampling Frame: Utilize professional registries, institutional staff lists, and organizational partnerships for recruitment.
  • Sample Size Calculation: Apply the "10 respondents per item" rule, requiring a minimum of 40 participants for the 4-item scale. For robust factor analysis, aim for 100-150 participants [68] [69].
  • Ethical Considerations: Secure institutional review board approval. Implement informed consent procedures with digital acknowledgment before survey access. Ensure data anonymization throughout collection and analysis.

Phase 2: Data Collection Procedures

  • Administration Modality: Implement via cross-sectional online surveys using secure platform (e.g., Qualtrics, REDCap) [68].
  • Timeframe: Conduct data collection over a defined period (typically 3-6 months) with reminder protocols to enhance response rates [68].
  • Instrument Presentation: Present the four ACP Practice Scale items with uniform response options:
    • "Yes" (scored 2 points)
    • "No, but I want to do it now or in the future" (scored 1 point)
    • "No, I do not want to do it now nor in the future" (scored 0 points)
  • Demographic Data: Collect information on profession, clinical setting, years of experience, and prior ACP training to enable subgroup analysis.

G Start Study Conceptualization P1 Phase 1: Preparation • Define target population • Calculate sample size • Secure ethical approval Start->P1 P2 Phase 2: Data Collection • Deploy cross-sectional survey • Implement reminder protocol • Ensure data quality P1->P2 P3 Phase 3: Psychometric Testing • Item analysis • Exploratory Factor Analysis • Internal consistency assessment P2->P3 P4 Phase 4: Validation • Confirmatory Factor Analysis • Test-retest reliability • Validity establishment P3->P4 End Instrument Validation Complete P4->End

Figure 1: ACP Practice Scale Validation Workflow

Psychometric Testing Protocol

Step 1: Item Analysis

  • Critical Ratio Method: Calculate independent samples t-test between high-scoring (top 27%) and low-scoring (bottom 27%) groups. Retain items with CR > 3.0 and p < 0.05 [69].
  • Item-Total Correlation: Compute Pearson correlation between each item and total scale score. Retain items with r > 0.40 [69].
  • Floor/Ceiling Effects: Examine response distribution for each item. Remove items with >80% responses at either extreme.

Step 2: Factor Analysis

  • Sampling Adequacy: Verify Kaiser-Meyer-Olkin (KMO) measure >0.70 and Bartlett's Test of Sphericity (p < 0.05) [68].
  • Exploratory Factor Analysis (EFA): Split sample randomly (50/50). On first subset, perform principal component analysis with eigenvalue >1.0 criterion, using varimax rotation if multi-factor solution emerges [68].
  • Confirmatory Factor Analysis (CFA): On second subset, test factor structure identified in EFA using maximum likelihood estimation. Assess model fit with CFI >0.90, TLI >0.90, RMSEA <0.08 [70] [69].

Step 3: Reliability Assessment

  • Internal Consistency: Calculate Cronbach's alpha and McDonald's omega for total scale. Accept values >0.70 for research purposes, >0.80 for clinical applications [68].
  • Test-Retest Reliability: Administer scale to 20-30% of sample after 2-week interval. Calculate Intraclass Correlation Coefficient (ICC). Accept ICC >0.70 for group comparisons, >0.80 for individual assessment [69].

Step 4: Validity Establishment

  • Content Validity: Convene expert panel (n=5-8) with palliative care, instrument development, and clinical expertise. Calculate I-CVI (target >0.78) and S-CVI/Ave (target >0.80) [68] [69].
  • Construct Validity: Administer parallel measures of theoretically related constructs (e.g., ACP knowledge, attitudes). Assess convergent validity with Pearson correlations (hypothesized r > 0.30).

Implementation Framework and Application

Integration with Implementation Science Models

The ACP Practice Scale functions as a critical measurement component within broader implementation frameworks. The Knowledge-to-Action (KTA) cycle provides a particularly effective structure for incorporating the scale throughout the implementation process [7].

G cluster_0 Knowledge Funnel cluster_1 Action Cycle K Knowledge Creation A Action Cycle K1 Knowledge Inquiry (Identify ACP barriers) K2 Knowledge Synthesis (Develop ACP guidelines) K1->K2 K3 Knowledge Tools (ACP Practice Scale) K2->K3 A1 Identify Problem (Measure baseline with scale) A2 Adapt Knowledge (Select implementation strategies) A1->A2 A3 Assess Barriers (Use scale to identify gaps) A2->A3 A4 Implement Interventions (Staff training, system changes) A3->A4 A5 Monitor Outcomes (Re-administer scale) A4->A5 A6 Evaluate Outcomes (Assess change in ACP practice) A5->A6 A7 Sustain Knowledge (Ongoing measurement) A6->A7 A7->A1

Figure 2: ACP Scale in Knowledge-to-Action Framework

The scale enables precise measurement throughout the implementation process, particularly in identifying barriers, selecting tailored implementation strategies, and monitoring outcomes [7]. This measurement approach allows researchers to link specific implementation strategies with changes in professional behavior, creating a feedback loop for continuous implementation quality improvement.

The Scientist's Toolkit: Research Reagent Solutions

Table 3: Essential Research Materials and Analytical Tools

Tool/Reagent Specifications Research Application
ACP Practice Scale 4-item questionnaire, 3-point response scale, 6-month recall period Primary outcome measure for professional ACP engagement [68]
Training Needs for ACP (TNACP) Scale 23-item instrument, 3 factors, Cronbach's α = 0.888 Assess training gaps to inform educational interventions [69]
ACP Fidelity Scale 3 subscales: Implementation, Quality, Penetration Rate, 5-point scoring Comprehensive assessment of ACP implementation at system level [6]
Statistical Analysis Package R (psych package), Mplus, SPSS with AMOS module Factor analysis, reliability testing, and multilevel modeling [68]
Digital Survey Platform REDCap, Qualtrics, LimeSurvey with secure data storage Multi-site data collection with automated reminder systems [68]
Implementation Strategy Toolkit Based on Theoretical Domains Framework linked to intervention functions Tailored implementation strategies addressing identified barriers [7]

Discussion and Research Applications

The validation of the ACP Practice Scale represents a significant advancement in implementation science methodology for advance care planning. The instrument's brevity and strong psychometric properties make it particularly valuable for use in busy clinical settings where comprehensive assessment tools are often impractical to implement [68]. The scale's specific focus on professional behaviors toward patients, rather than conflating this with personal ACP engagement, represents a critical distinction from previous measurement approaches [68].

The response pattern observed in validation studies—with low current practice rates but high expressed willingness to engage—suggests the scale is particularly sensitive to identifying implementation gaps attributable to system and training barriers rather than individual resistance [68] [69]. This makes it invaluable for designing targeted implementation strategies, such as those mapped to the Theoretical Domains Framework in recent implementation science approaches [7].

Future applications of the scale should include longitudinal assessment of implementation interventions, cross-cultural validation studies, and integration with digital ACP systems to create real-time feedback loops for quality improvement [2]. The scale's utility in regions without formal advance directives legislation, such as Macao and mainland China, highlights its particular value in health systems where ACP processes rely more on communication than legal documentation [68].

When applying this protocol, researchers should consider complementing the quantitative data from the ACP Practice Scale with qualitative methods to gain deeper understanding of implementation barriers and facilitators. This mixed-methods approach aligns with contemporary implementation science methodologies and provides richer data for designing context-specific implementation strategies [7] [2].

Application Note

Background and Significance

Advance care planning (ACP) has evolved significantly from its initial focus on completing standardized treatment-based forms, known as advance directives (ADs), toward a more dynamic process that emphasizes understanding and documenting patients' fundamental values and goals. This shift responds to mounting evidence that traditional treatment-based directives often prove difficult to interpret and apply in actual clinical situations, particularly when patients face unpredictable health crises or their condition evolves in unanticipated ways [71]. The critical challenge for healthcare systems and researchers lies in determining which approach—values-based or treatment-based—most effectively ensures patients receive care consistent with their preferences while accommodating the practical constraints of clinical implementation.

The imperative for this comparative analysis extends beyond academic interest. Current healthcare landscapes reveal significant gaps in ACP implementation. A 2025 cross-sectional study measuring ACP implementation fidelity in Norwegian geriatric hospital units demonstrated remarkably low implementation scores, with mean values of 1.21/5 for implementation measures and 1.11/5 for quality of ACP practice [37]. Similarly, a 2017 Australian study in community aged care found that while ACP was initiated with 65% of clients, only 18% completed advance care directives, and most documents (71%) were of poor quality or not valid [72]. These implementation challenges persist despite evidence that ACP improves quality of care at the end of life and increases the likelihood of a person's wishes being known and respected [73].

Key Comparative Studies

Substantial research has directly compared values-based and treatment-based ACP approaches, with nuanced findings suggesting each method offers distinct advantages. A foundational 2002 study compared Emanuel's Medical Directive (EMD - treatment-based) with Pearlman's Values History (PVH - values-based) in older outpatient populations [71]. This randomized study revealed that while patients completing the treatment-based directive (EMD) believed it would give them more control over end-of-life care (84% vs 48% totally or mostly agreed), those completing the values-based form (PVH) were significantly more likely to designate a surrogate decision-maker (100% vs 79%) [71]. Both forms were rated favorably overall, with the majority of participants in both groups agreeing the forms were a "good first step" in planning end-of-life care [71].

More recent research has expanded beyond the values-treatment dichotomy to examine implementation methodologies. A 2017 large-scale comparative effectiveness study with 8,707 seriously ill patients compared three ACP delivery models: advance directive form alone, advance directive plus web-based prompts (PREPARE website), and advance directive plus web-based prompts with health navigator support [74]. The health navigator model demonstrated superior completion rates, with a 20% absolute increase in advance directive completion compared to 13-14% in the other groups [74]. Notably, for patients who died during the study, the health navigator approach resulted in more goal-concordant care than the advance directive alone program [74].

Ongoing research continues to refine our understanding of optimal ACP delivery. The PEACe-compare trial, currently underway, directly compares in-person facilitated ACP discussions using the Respecting Choices model with web-based ACP using the PREPARE platform among patients with advanced cancer [75]. This mixed-methods trial will evaluate multiple endpoints including patient engagement in ACP, advance directive completion, quality of end-of-life care, and healthcare utilization, while also assessing implementation costs [75].

Table 1: Key Comparative Studies of ACP Approaches

Study (Year) Design Population Interventions Compared Primary Outcomes
Schwartz et al. (2002) [71] Randomized trial 63 patients aged ≥55 without dementia Emanuel's Medical Directive (treatment-based) vs. Pearlman's Values History (values-based) Surrogate designation (100% PVH vs 79% EMD); Perceived control (84% EMD vs 48% PVH)
Wenger et al. (2017) [74] Cluster RCT 8,707 seriously ill patients (1) AD alone; (2) AD + website; (3) AD + website + navigator AD completion: 20% with navigator vs 13-14% without; Goal-concordant care improved with navigator for decedents
Detering et al. (2017) [72] Prospective cohort 784 community aged care clients ACP by case manager vs external ACP service ACP initiation (65% both groups); ACD completion (18%); Document quality poor (71%)
PEACe-compare (Ongoing) [75] Randomized trial 400 advanced cancer patients In-person facilitated ACP vs web-based ACP Patient engagement in ACP; AD completion; Quality of EOL care

Table 2: Quantitative Outcomes from Key Comparative Studies

Outcome Measure Values-Based Approach Treatment-Based Approach Combined/Supported Approaches
Surrogate Designation 100% [71] 79% [71] -
Perceived Control Over Care 48% (mostly/totally agree) [71] 84% (mostly/totally agree) [71] -
Advance Directive Completion - - 20% (with navigator) vs 13-14% (without) [74]
Initiation of ACP Conversations 60% discussed with family [71] 56% discussed with family [71] 65% of clients [72]
Document Quality - - 71% poor/not valid [72]
Goal-Concordant Care - - Improved with navigator support for decedents [74]

Patient Experience and Implementation Considerations

Research examining patient experiences with ACP reveals several critical themes that inform the comparative effectiveness of different approaches. A systematic review of 20 studies exploring experiences of patients with life-threatening or life-limiting illnesses identified three central themes: ambivalence (experiencing both benefits and unpleasant feelings), readiness (a necessary prerequisite for productive engagement), and openness (the need to feel comfortable discussing preferences with relevant others) [76]. This ambivalence manifests practically in the finding that while 92.1% of patients reported discussing treatment wishes with families, only 17.5% had spoken with their family doctor [77].

The timing of ACP discussions emerges as a crucial implementation factor. Evidence suggests that ACP completed in the last three months of life is associated with a higher likelihood of aggressive care preferences, potentially reflecting "hurried discussions conducted during urgent procedures" [78]. Conversely, individuals who prepared their AD one year or more before death were more likely to prefer limited or conservative care [78]. This timing element interacts with the content approach—values-based discussions may retain relevance across a broader time horizon as patient circumstances evolve.

Implementation science approaches to ACP are increasingly recognizing the need for fidelity measurement. The recently developed ACP fidelity scale includes subscales for implementation, quality, and penetration rate, reflecting the multidimensional nature of successful ACP programs [37]. Initial implementations of this scale have demonstrated generally poor performance across healthcare settings, highlighting the ongoing challenge of translating ACP evidence into consistent practice [37].

Experimental Protocols

Protocol 1: Randomized Comparison of Values-Based versus Treatment-Based Advance Directives

Objective: To compare patient responses to values-based and treatment-based advance directive forms across multiple domains including communication outcomes, perceived control, surrogate designation, and emotional burden.

Population and Setting:

  • Recruitment from academic general medicine outpatient clinics [71]
  • Inclusion criteria: Patients age 55 or older, without existing advance directives, without dementia (Short Blessed Test score <9) [71]
  • Sample size: 63 patients enrolled (25 per group in final interview) [71]

Randomization and Interventions:

  • Random assignment to complete either:
    • Emanuel's Medical Directive (EMD): Treatment-based directive with 6 clinical scenarios (coma, dementia, terminal illness) asking respondents to choose from specific treatments (CPR, dialysis, mechanical ventilation) [71]
    • Pearlman's Values History (PVH): Values-based directive assessing patient values regarding end-of-life care through questions about importance of avoiding pain, financial burden considerations, etc. [71]

Procedure:

  • Approach patients after routine office visits with physician permission
  • Obtain consent and complete demographic information (age, race/ethnicity, education, income, self-reported health)
  • Participants complete assigned form in private office with researcher documenting time and questions asked
  • Participants take completed form home, encouraged to discuss with loved ones
  • Telephone interview conducted 2-4 weeks later with 30 closed-ended questions using 5-point Likert scale
  • Patients mail back completed advance directive
  • Physician contact via email 4 months post-study and again 12 months later to assess patient-initiated AD discussions [71]

Measures:

  • Primary: Time to complete form, number of questions asked
  • Communication: Proportions discussing AD with family, designating surrogate, returning AD by mail
  • Patient ratings: Control over care, reflection of values, understandability, emotional burden
  • Physician reports: Patient-initiated AD discussions [71]

Analysis:

  • Student's t-test and ANOVA for continuous variables
  • Chi-square tests for categorical variables
  • Mann-Whitney U for Likert scale responses
  • Significance at p < .05 [71]

Protocol 2: Cluster Randomized Trial of ACP Delivery Models

Objective: To compare the effectiveness of three ACP delivery models on advance directive completion and goal-concordant care.

Design: Cluster randomized controlled trial with 50 primary care clinics randomly assigned to one of three conditions [74].

Population:

  • 8,707 patients with serious illness, no advance directive in previous 3 years
  • Demographic characteristics: 54% White, 17% Hispanic, 12% Asian, 8% Black, 8% other; average age 73; 50% female [74]

Interventions:

  • Advance Directive Alone: Mailed advance directive form with instructions for completion and submission [74]
  • Advance Directive Plus Website: Above plus prompts to access PREPARE website with ACP information and directive completion guidance [74]
  • Advance Directive Plus Website and Navigator: Above plus trained health navigator support including telephone calls about ACP, website assistance, advance directive initiation, and encouragement to discuss with physician [74]

Outcomes and Measures:

  • Primary: Advance directive completion documented in medical record at 1 and 2 years
  • Secondary: Patient-reported goal-concordant care via surveys
  • Additional: Chart reviews for goal-concordant care among decedents [74]

Analysis:

  • Comparison of advance directive completion rates across groups
  • Odds ratios with confidence intervals for intervention effects
  • Assessment of goal-concordant care differences [74]

Protocol 3: Mixed-Methods Comparison of In-Person Versus Web-Based ACP

Objective: To compare the effectiveness of in-person facilitated ACP versus web-based ACP for patients with advanced cancer.

Design: Single-blind, patient-level randomized trial with mixed methods [75].

Population:

  • 400 patients with advanced cancer and their family caregivers
  • Recruitment from oncology practices in Western Pennsylvania [75]

Randomization and Interventions:

  • In-Person Facilitated ACP: Face-to-face visits with nurse facilitator using Respecting Choices Conversation Guide [75]
  • Web-Based ACP: PREPARE for your care web-based tool with interactive videos [75]

Measures and Data Collection:

  • Primary: Patient engagement in ACP
  • Secondary: ACP discussions, advance directive completion, quality of end-of-life care, goal attainment, caregiver psychological symptoms, healthcare utilization
  • Implementation costs assessment
  • Qualitative interviews with patients, caregivers, and clinicians to understand contexts and mechanisms [75]

Timeline:

  • Baseline assessment
  • Follow-up assessments at 3, 6, 12, and 18 months
  • End-of-life data collection for 18 months post-enrollment or until death [75]

Analysis:

  • Quantitative comparison of primary and secondary outcomes
  • Qualitative analysis of interview data using appropriate methodologies (e.g., framework analysis)
  • Mixed methods integration to understand contexts influencing effectiveness [75]

Visualizations

ACP Comparative Analysis Framework

G Start Patient Population Serious Illness/Advanced Age Approach ACP Approach Selection Start->Approach VB Values-Based Directives Approach->VB TB Treatment-Based Directives Approach->TB Combined Combined/Supported Approaches Approach->Combined Metrics Comparative Metrics VB->Metrics TB->Metrics Combined->Metrics M1 Surrogate Designation Metrics->M1 M2 Perceived Control Metrics->M2 M3 AD Completion Metrics->M3 M4 Goal-Concordant Care Metrics->M4 Outcomes Outcome Assessment M1->Outcomes M2->Outcomes M3->Outcomes M4->Outcomes

ACP Comparison Framework

ACP Implementation Workflow

G Step1 1. Patient Identification & Eligibility Screening Step2 2. Randomization Step1->Step2 Group1 Values-Based Approach (Pearlman's Values History) Step2->Group1 Group2 Treatment-Based Approach (Emanuel's Medical Directive) Step2->Group2 Group3 Supported Approach (Navigator + PREPARE) Step2->Group3 Step3 3. Intervention Delivery Group1->Step3 Group2->Step3 Group3->Step3 A1 Values Assessment & Discussion Step3->A1 A2 Scenario-Based Treatment Selection Step3->A2 A3 Navigator Support & Digital Tools Step3->A3 Step4 4. Outcome Assessment (2-4 weeks post-intervention) A1->Step4 A2->Step4 A3->Step4 M1 Process Measures: Time, Questions, Surrogate Designation Step4->M1 M2 Experience Measures: Control, Understanding, Emotional Impact Step4->M2 M3 Completion Measures: AD Documentation, Goal Concordance Step4->M3 Step5 5. Long-Term Follow-up (12-24 months) M1->Step5 M2->Step5 M3->Step5

ACP Implementation Workflow

The Scientist's Toolkit: Research Reagent Solutions

Table 3: Essential Research Materials and Instruments for ACP Comparative Studies

Research Tool Type/Format Primary Function Key Features/Applications
Emanuel's Medical Directive (EMD) [71] Treatment-based advance directive (7-page form) Captures specific treatment preferences across clinical scenarios Six clinical scenarios (coma, dementia, terminal illness); Specific treatments (CPR, dialysis, ventilation); Standardized format for comparison
Pearlman's Values History (PVH) [71] Values-based assessment (8-page form) Documents patient values, goals, and care priorities Questions on pain avoidance, financial burden considerations; Values clarification rather than specific treatments; Surrogate designation focus
PREPARE Website [74] [75] Web-based ACP platform Interactive ACP education and directive completion Video demonstrations; Step-by-step guidance; Available in multiple languages; Self-paced engagement
Respecting Choices Conversation Guide [75] Structured facilitation protocol Standardized in-person ACP discussions Evidence-based conversation structure; Trained facilitator model; Relationship-centered approach; Adaptable to different cultures
ACP Fidelity Scale [37] Implementation assessment tool Measures adherence to ACP guidelines and quality Three subscales: implementation, quality, penetration rate; 5-point scoring system; Healthcare setting adaptation
ACP Engagement Survey [75] Patient-reported outcome measure Quantifies patient involvement in ACP process Validated instrument; Multiple domains of engagement; Suitable for diverse populations
Goal Concordance Assessment [74] Outcome evaluation method Measures alignment between preferences and care received Chart review methodology; Patient-surrogate concordance measures; End-of-life care evaluation

The RE-AIM framework is a widely adopted implementation science tool designed to enhance the quality, speed, and public health impact of efforts to translate research into practice [79]. Formulated over two decades ago, RE-AIM was developed to address well-documented failures and delays in this translation process by providing a structured approach to plan and evaluate interventions [79]. The acronym RE-AIM represents five key dimensions that operate across multiple ecological levels: Reach and Effectiveness (individual level), Adoption and Implementation (staff and setting levels), and Maintenance (both individual and setting levels) [79]. This multidimensional structure allows researchers and implementers to systematically evaluate both the internal and external validity of interventions, with a particular emphasis on transparency in reporting [79].

The framework has evolved significantly since its inception, with one major advancement being its integration into the Pragmatic Robust Implementation and Sustainability Model (PRISM), which incorporates greater consideration of contextual factors [79]. RE-AIM and PRISM collectively guide users to plan, implement, evaluate, and sustain programs while considering implementation context, thereby increasing equity and public health relevance [80]. This evolution reflects the framework's adaptability to emerging research findings and methodological advancements, maintaining its relevance across diverse clinical, community, and corporate contexts [79].

In the specific context of advance care planning (ACP) implementation, the RE-AIM framework provides a valuable structure for evaluating complex interventions aimed at improving discussions and documentation of patients' care preferences. ACP involves an iterative process whereby patients communicate with family, loved ones, and healthcare providers about personal values, life goals, and preferences regarding future treatment and care [1]. Despite general practice often being recommended as an ideal setting to initiate ACP, uptake remains low, creating a significant implementation challenge that RE-AIM can help address [1].

Core Dimensions of RE-AIM: Definitions and Operationalization

Conceptual Definitions and Metrics

The five RE-AIM dimensions provide a comprehensive structure for evaluating implementation success. The table below summarizes the core definitions, reporting recommendations, and applications for each dimension.

Table 1: Core Dimensions of the RE-AIM Framework

Dimension Definition Reporting Recommendations Exemplary Application in ACP Research
Reach The absolute number, proportion, and representativeness of individuals willing to participate in an initiative [79]. Report percentage of participants based on a valid denominator AND characteristics of participants compared to non-participants; document exclusion criteria and use qualitative methods to understand recruitment [79]. In a Belgian general practice study, only 3.3% of contacted GPs participated, with 60.6% of decliners citing lack of time as the primary reason [1].
Effectiveness The impact on important outcomes, including potential negative effects, quality of life, economic outcomes, and variability across subgroups [79]. Report primary outcomes, broader outcomes (e.g., quality of life), short-term attrition, and differential results by patient characteristics; assess robustness across subgroups [79]. The ACP-GP intervention in Belgium showed no significant difference in patient engagement or GP self-efficacy compared to usual care at 3-month follow-up [1].
Adoption The absolute number, proportion, and representativeness of settings and staff willing to initiate a program [79]. Report percentage of settings approached that participated and their characteristics; document staff participation rates and characteristics of participating versus non-participating staff [79]. In a VA telehealth program evaluation, adoption was measured by the number of practices and clinicians implementing the program and their characteristics [81].
Implementation fidelity to intervention elements, consistency of delivery, time and cost, and adaptations made during implementation [79]. Report consistency of delivery across settings/staff, adaptations made to intervention and implementation strategies, and implementation costs [79]. In the SPIRIT ACP trial, champions completed all intervention steps in 98-100% of sessions, with median session duration of 60 minutes for initial sessions [82].
Maintenance The extent to which a program becomes institutionalized in organizational practices (setting level) and the long-term effects on outcomes (individual level) [79]. At setting level, report if program is ongoing at different timepoints; at individual level, report long-term outcome effects after program completion [79]. In a Belgian ACP study, intention for maintenance was moderate, with GPs questioning how to sustainably implement ACP conversations in the future [1].

Operationalization in Healthcare Settings

Operationalizing RE-AIM requires careful consideration of context and measurement approaches. For Reach, researchers should identify the eligible population and compare participants to non-participants to assess representativeness [79]. In the context of ACP, this might involve determining all eligible patients with chronic, life-limiting illnesses in a practice and documenting reasons for participation or refusal. For example, in a study implementing ACP in dialysis clinics, researchers documented that 82.7% of enrolled dyads completed the first SPIRIT session, providing a clear metric for reach [82].

For Effectiveness, ACP studies typically measure both primary and secondary outcomes. Primary outcomes often include ACP engagement and documentation completion rates, while secondary outcomes might encompass quality of life, patient satisfaction, and economic measures [3] [1]. For instance, one primary care study demonstrated a 25.3-percentage point increase in ACP discussions and a 16.5-point increase in documentation completion after implementing an ACP coordinator and Lightning Report system [3].

Adoption in healthcare settings requires assessing participation at multiple levels - from individual clinicians to entire healthcare systems. The Belgian ACP-GP study demonstrated this by reporting that 35 GPs from unique practices were enrolled from an initial pool of 1,570 identified GPs, with most decliners citing time constraints as the primary barrier [1]. This multi-level assessment provides crucial context for interpreting implementation success.

Implementation fidelity and adaptations are particularly important in complex interventions like ACP. The SPIRIT trial in dialysis clinics demonstrated high fidelity, with champions reporting completion of all intervention steps in nearly all sessions [82]. However, they also documented adaptations, including scheduling challenges and the emotional burden on champions, providing important insights for future implementation [82].

Maintenance assessment in ACP research often faces challenges due to limited timeframes of research studies. Nevertheless, measures can include intention for continued use, as demonstrated in the Belgian ACP-GP study where GPs expressed moderate intention for maintenance but raised questions about sustainable implementation [1]. Longer-term studies might track actual continued use of ACP practices beyond the research period.

Application Notes for Advance Care Planning Research

Pragmatic Application Strategies

Applying RE-AIM to ACP implementation requires pragmatic strategies that account for the sensitive nature of end-of-life conversations and the complex healthcare systems in which they occur. First, engage diverse stakeholders from the outset, including patients, surrogates, clinicians from multiple disciplines, administrators, and community representatives [83]. This engagement enhances transparency, equity, and relevance while identifying potential barriers specific to ACP implementation. For example, in one study, researchers brought together stakeholders from diverse sectors to vocalize their "pain points" and definitions for success, forming a comprehensive set of variables based on stakeholder priorities [83].

Second, employ mixed methods to capture the nuanced experiences of ACP implementation. Quantitative data provides metrics on participation rates and outcomes, while qualitative approaches illuminate the "why" behind observed results [1]. In the ACP-GP trial, researchers used recruitment monitoring, questionnaires, and semi-structured interviews to gain comprehensive insights into implementation barriers and facilitators [1]. This approach revealed that despite low reach, participants who engaged in ACP conversations reported feeling reassured, and GPs valued the positive framing of ACP [1].

Third, plan for adaptations while maintaining fidelity to core components. Complex ACP interventions often require tailoring to fit different clinical contexts while preserving essential elements that drive effectiveness. The RE-AIM framework emphasizes tracking both fidelity and adaptations, including the type, timing, and reasons for changes [79]. In the SPIRIT trial, while fidelity to protocol was high, implementers documented challenges including scheduling difficulties, competing clinical demands, and the emotional burden on champions [82].

Fourth, contextualize ACP within broader care initiatives to enhance relevance and sustainability. One study successfully integrated ACP within the Age-Friendly Health Systems (AFHS) initiative, connecting it with the "What Matters" element of the 4Ms framework (What Matters, Medication, Mentation, and Mobility) [3]. This approach helped position ACP as a fundamental component of comprehensive geriatric care rather than an isolated add-on, potentially enhancing long-term maintenance.

Common Implementation Challenges and Solutions

ACP implementation using RE-AIM faces several predictable challenges. Low reach among both patients and providers is common, as seen in the Belgian trial where only 3.3% of contacted GPs participated [1]. Solutions include using existing patient-provider relationships as a foundation, leveraging routine care touchpoints like annual wellness visits, and clearly communicating the benefits of ACP for both patients and providers [3] [1].

Variable adoption across settings presents another challenge. In the VA healthcare system, application of RE-AIM across multiple enterprise-wide initiatives revealed significant variation in how different sites adopted and implemented programs [81]. To address this, researchers recommend conducting pre-implementation assessments to understand organizational readiness, identifying champions at multiple levels, and allowing flexible implementation approaches while maintaining core components [81] [36].

Implementation fidelity requires balancing protocol adherence with necessary adaptations. The SPIRIT trial maintained high fidelity through comprehensive champion training, self-evaluation checklists, and ongoing support [82]. However, they also acknowledged and documented necessary adaptations, such as scheduling modifications and approaches to managing emotional burden [82].

Measuring maintenance within typical research timeframes is challenging. While some ACP studies track outcomes for 6-12 months, longer-term sustainability requires different assessment approaches. Researchers recommend measuring intention for continued use, assessing institutionalization through policy changes, and tracking documentation in electronic health records over extended periods [1] [36].

Experimental Protocols and Methodologies

Mixed-Methods Evaluation Design

Implementing RE-AIM in ACP research requires a comprehensive mixed-methods approach that captures both quantitative metrics and qualitative insights. The following diagram illustrates a recommended workflow integrating both methodological approaches across the RE-AIM dimensions:

G Start Study Planning Phase Reach Reach Assessment Start->Reach Effectiveness Effectiveness Evaluation Reach->Effectiveness Q1 Recruitment monitoring & demographic analysis Reach->Q1 QL1 Stakeholder interviews & focus groups Reach->QL1 Adoption Adoption Measurement Effectiveness->Adoption Q2 Validated outcome measures & statistical testing Effectiveness->Q2 QL2 Participant experience & satisfaction interviews Effectiveness->QL2 Implementation Implementation Analysis Adoption->Implementation Q3 Setting & staff participation rates Adoption->Q3 QL3 Adoption barrier & facilitator interviews Adoption->QL3 Maintenance Maintenance Assessment Implementation->Maintenance Q4 Fidelity checklists & duration tracking Implementation->Q4 QL4 Adaptation documentation & implementation notes Implementation->QL4 Q5 Long-term follow-up assessments Maintenance->Q5 QL5 Sustainability intention & barrier interviews Maintenance->QL5

RE-AIM Mixed-Methods Data Collection

This mixed-methods approach was exemplified in the Belgian ACP-GP cluster randomized controlled trial, which integrated quantitative data from recruitment monitoring and questionnaires with qualitative data from semi-structured interviews and focus groups [1]. The sequential design collected quantitative data during the intervention and qualitative data afterward, providing both breadth and depth of understanding [1].

Data Collection Methods and Tools

Table 2: Data Collection Methods for RE-AIM Dimensions in ACP Research

RE-AIM Dimension Quantitative Methods Qualitative Methods Data Sources
Reach - Recruitment rates- Participant characteristics- Comparison to non-participants - Interviews with participants and non-participants- Focus groups on recruitment barriers - Electronic health records- Recruitment logs- Demographic surveys
Effectiveness - Validated scales (e.g., ACP Engagement Survey)- Clinical outcomes- Documentation completion rates - In-depth interviews on participant experiences - Pre/post questionnaires- EHR documentation audits- Patient and surrogate interviews
Adoption - Setting participation rates- Staff participation rates- Representativeness analysis - Stakeholder interviews on adoption decisions- Focus groups on implementation readiness - Organizational records- Staff demographic surveys- Interview transcripts
Implementation - Fidelity checklists- Duration measurements- Adaptation logs- Cost tracking - Observations of implementation- Debriefing interviews with implementers - Implementation logs- Session recordings- Cost accounting records
Maintenance - Long-term outcome assessment- Continued use metrics- Policy integration tracking - Sustainability intention interviews- Organizational culture assessment - Follow-up surveys- Organizational policy review- EHR pattern analysis

The ACP-GP trial demonstrated application of these methods by using recruitment monitoring for Reach, the ACP Engagement Survey and ACP Self-Efficacy scale for Effectiveness, participation rates for Adoption, satisfaction questionnaires for Implementation, and intention interviews for Maintenance [1]. Similarly, the SPIRIT trial tracked session completion rates for Reach, used surveys for Effectiveness, documented champion participation for Adoption, completed fidelity checklists for Implementation, and collected acceptability surveys for Maintenance [82].

The Scientist's Toolkit: Essential Research Reagents

Table 3: Essential Methodological Tools for RE-AIM Implementation in ACP Research

Tool Category Specific Instrument Application in ACP Research Exemplary Use
Validated Surveys ACP Engagement Survey (15-item) [1] Measures patient activation and participation in ACP behaviors Used as primary outcome in ACP-GP trial to assess effectiveness [1]
Fidelity Tools Champion self-evaluation checklists [82] Assesses adherence to intervention protocol during delivery SPIRIT trial champions reported completing all steps in 98-100% of sessions [82]
Qualitative Guides Semi-structured interview guides [1] Explores participant experiences and implementation barriers Belgian study used open questions with probes to understand GP and patient perspectives [1]
Recruitment Tracking Recruitment monitoring logs [1] Documents reach and representativeness of participants ACP-GP trial tracked 1,570 GPs, documenting reasons for declining participation [1]
Implementation Logs Adaptation documentation forms [79] Records modifications to intervention during implementation RE-AIM guidance emphasizes tracking type, timing, and reasons for adaptations [79]
Sustainability Measures Acceptability and intention surveys [82] Assesses likelihood of continued use after study conclusion SPIRIT trial used acceptability surveys with patients, surrogates, and providers [82]

Data Analysis and Interpretation Framework

Analytical Approaches Across Dimensions

Analyzing RE-AIM data requires dimension-specific approaches that collectively provide a comprehensive implementation picture. For Reach, analytical methods should include both descriptive statistics (proportions, means) and comparative analyses between participants and non-participants to assess representativeness [79]. In the ACP-GP trial, researchers documented that only 35 of 1,570 contacted GPs (2.2%) ultimately participated, providing a clear reach metric, while qualitative analysis of decliners revealed that 60.6% cited lack of time as the primary barrier [1].

Effectiveness analysis typically employs comparative methods such as t-tests, ANOVA, or regression models to assess outcomes between intervention and control groups, while also examining heterogeneity of effects across subgroups [84] [1]. The ACP-GP trial used these approaches to determine that although ACP engagement increased in both groups, the intervention group did not show significantly greater improvement than controls [1]. This null finding was better understood through complementary qualitative data revealing that patients nonetheless felt reassured by conversations and GPs valued the positive framing [1].

Adoption analysis occurs at both setting and staff levels, requiring multi-level assessment. Researchers should report the proportion of settings and staff that participate and compare their characteristics to non-participants [79]. In the PIC4C study in Kenya, researchers documented adoption across 73 health facilities, analyzing participation rates by facility type and location [84]. They complemented this with qualitative interviews to understand reasons for adoption decisions [84].

Implementation analysis focuses on fidelity, adaptations, and resources required. The SPIRIT trial exemplifies this approach by reporting that champions completed all intervention steps in 98-100% of sessions (fidelity), while also documenting adaptations such as scheduling modifications and approaches to managing emotional burden [82]. They also quantified implementation resources, noting median session durations of 60 minutes for initial sessions and 15 minutes for follow-ups [82].

Maintenance analysis considers both individual-level persistence of effects and setting-level institutionalization. While many trials struggle with longer-term assessment, intention measures and policy integration can provide proxy indicators. In the Belgian ACP-GP study, researchers found only moderate intention for maintenance among GPs, who raised questions about sustainable implementation [1]. This qualitative insight helped explain potential sustainability challenges beyond the trial period.

Integration and Interpretation

The true value of RE-AIM emerges when dimensions are integrated to form a comprehensive implementation picture. The following diagram illustrates how quantitative and qualitative findings across dimensions can be synthesized to draw implementation conclusions:

G QReach Quantitative Reach: Participation rates & representativeness Synthesis Implementation Synthesis: - Overall success assessment - Barrier identification - Modification guidance - Generalizability judgment QReach->Synthesis QLEffect Qualitative Effectiveness: Participant experiences & perceived value QLEffect->Synthesis QLAdopt Qualitative Adoption: Barriers & facilitators to participation QLAdopt->Synthesis QImplement Quantitative Implementation: Fidelity metrics & adaptation logs QImplement->Synthesis QLMaintain Qualitative Maintenance: Sustainability intentions & barriers QLMaintain->Synthesis Decisions Implementation Decisions: - Continue as is - Adapt & retest - Abandon approach Synthesis->Decisions

RE-AIM Data Integration and Decision Pathway

This integration approach was demonstrated in the ACP-GP trial, where quantitative data showed limited reach and no significant effectiveness advantage, while qualitative data revealed positive participant experiences and implementation feasibility [1]. Together, these findings suggested that while the specific intervention might need modification, ACP implementation in general practice remained valuable and worthy of continued refinement.

The RE-AIM framework provides a robust structure for planning and evaluating ACP implementation across diverse healthcare settings. Its multidimensional approach moves beyond simple effectiveness assessment to provide a comprehensive understanding of implementation success, capturing important elements like reach, adoption, and maintenance that are crucial for real-world impact [79]. The framework's evolution into PRISM further enhances its utility by more explicitly incorporating contextual factors that influence implementation [80] [79].

Application of RE-AIM to ACP implementation has revealed several important considerations. First, successful ACP implementation requires attention to multiple levels - from individual patients and clinicians to organizational systems and policies [1] [36]. Second, mixed methods are essential for understanding both the "what" and "why" of implementation outcomes [1] [83]. Third, pragmatic adaptation is often necessary, provided core components are preserved and changes are documented [82] [79].

Future applications of RE-AIM in ACP research should prioritize several developments. First, increased attention to health equity through explicit assessment of reach and effectiveness across vulnerable subgroups [83] [79]. Second, enhanced measurement of maintenance through longer-term follow-up and better proxies for sustainability [1] [36]. Third, integration with other frameworks like CFIR (Consolidated Framework for Implementation Research) to more comprehensively assess contextual barriers and facilitators [81]. Finally, development of standardized metrics for ACP-specific outcomes across RE-AIM dimensions to enable cross-study comparison and meta-analysis [81] [79].

As ACP continues to evolve as a crucial component of person-centered care, particularly for populations with chronic, life-limiting illnesses, the RE-AIM framework offers a valuable tool for optimizing implementation and maximizing real-world impact. By applying its structured approach across diverse settings and populations, researchers and implementers can accelerate the translation of ACP evidence into practice, ultimately ensuring that patient values and preferences guide healthcare decisions.

Advance care planning (ACP) is a process that supports adults in understanding and sharing their personal values, life goals, and preferences for future medical care [23]. Despite documented benefits, significant disparities exist in ACP engagement, with underserved populations—including Black, Hispanic, and rural communities—demonstrating consistently lower participation rates compared to white Americans [85]. These underserved groups are more likely to receive low-quality end-of-life care that is misaligned with their preferences and less likely to utilize hospice services [85]. Community-based trials represent a critical methodological approach to address these health inequities by leveraging trusted community networks and developing interventions that overcome systemic barriers to ACP engagement [86] [85].

This application note establishes a structured framework for designing and implementing community-based ACP trials, with specific protocols adapted for underserved populations. The content is situated within a broader thesis on ACP implementation frameworks, emphasizing practical methodological considerations for researchers investigating equitable intervention strategies. The guidance integrates implementation science principles with community-engaged approaches to enhance the rigor, relevance, and translational potential of ACP research in real-world settings.

Experimental Protocols for Community-Based ACP Trials

Cluster Randomized Controlled Trial Design: The Project Talk Trial Model

The Project Talk Trial (NCT04612738) provides a robust methodological framework for evaluating ACP interventions in community settings [85]. This protocol employs a 3-armed cluster, randomized controlled mixed methods design implemented through community-based organizations serving underserved populations.

Key Methodological Components:

  • Cluster Randomization: 75 community venues randomized to one of three arms to minimize contamination
  • Participant Recruitment: 1,500 total participants (n=20 per event) from underserved communities
  • Inclusion Criteria: Adults >18 years from underserved populations, English and/or Spanish speaking, no advance directive completion within previous 5 years
  • Exclusion Criteria: Significant hearing or speaking difficulties, inability to provide informed consent [85]

Intervention Arms:

  • Arm 1 (Experimental): "Hello" - a serious conversation game addressing end-of-life preferences
  • Arm 2 (Active Control): The Conversation Project Starter Kit - a nationally utilized workshop format
  • Arm 3 (Attention Control): TableTopics - a general conversation game controlling for social interaction [85]

Implementation Sequence:

  • Community Partnership Development: Establish agreements with 75 host organizations
  • Host Training: Conduct mandatory web-based training for community hosts
  • Event Execution: Host community events with randomized intervention assignment
  • Data Collection: Collect baseline, post-event, and 6-month follow-up data
  • Outcome Verification: Visually verify advance directive completion [85]

Implementation Science Framework: PRISM Model

The Practical, Robust Implementation and Sustainability Model (PRISM) provides a theoretical framework for implementing ACP interventions in primary care settings serving diverse populations [3]. This framework examines how interventions interact with multiple contextual factors to influence implementation success.

Implementation Sequence:

G PRISM PRISM Intervention Intervention PRISM->Intervention Recipients Recipients PRISM->Recipients Implementation Implementation PRISM->Implementation Environment Environment PRISM->Environment Outcomes Outcomes Intervention->Outcomes Recipients->Outcomes Implementation->Outcomes Environment->Outcomes

Key Implementation Strategies:

  • ACP Coordinator: Dedicated staff to facilitate ACP discussions and documentation
  • Lightning Report Method: Rapid process improvement approach with prompt feedback synthesis and timely action [3]
  • Workflow Integration: Embed ACP initiatives into standard clinical practice
  • Provider Education: Train interdisciplinary team members on ACP communication
  • Patient Materials: Develop culturally and linguistically appropriate educational resources [3]

Quantitative Outcomes and Data Synthesis

Primary and Secondary Outcome Measures

Table 1: ACP Outcome Measurement Framework for Community-Based Trials

Outcome Category Specific Metrics Measurement Method Timeline
Process Outcomes ACP knowledge, self-efficacy, readiness Validated surveys (e.g., ACP Engagement Survey) Baseline, post-intervention, 6-month follow-up
Action Outcomes Advance directive completion, surrogate designation Visual verification, self-report 6-month primary endpoint
Quality of Care Outcomes Goal-concordant care, patient and family satisfaction Qualitative interviews, validated scales 6-12 month follow-up
Health System Outcomes Healthcare utilization, hospice enrollment, costs Electronic health record review, claims data 12-month follow-up

Efficacy Data from Implemented Trials

Table 2: Quantitative Outcomes from ACP Implementation Studies

Study/Setting Intervention Reach Outcomes Effectiveness Outcomes Timeframe
Clinic A (PCMH) [3] ACP Coordinator + Lightning Report 10 percentage point increase (43.6% to 53.6%) 2.5 percentage point increase (20.2% to 22.8%) 2019-2023
Clinic B (FQHC) [3] ACP Coordinator + Lightning Report 25.3 percentage point increase (2.6% to 27.9%) 16.5 percentage point increase (1.9% to 18.4%) 2019-2023
Norwegian Geriatric Units [37] Fidelity Scale Assessment Mean fidelity score: 1.213/5 ACP performed in only 10% of patients in 1 of 12 units Baseline assessment

Implementation Pathways and Workflows

Community-Based Trial Implementation Pathway

The following diagram illustrates the complete workflow for implementing community-based ACP trials, from initial planning through sustainability assessment:

G Planning Planning Partnership Partnership Planning->Partnership Stakeholder Engagement Stakeholder Engagement Planning->Stakeholder Engagement Training Training Partnership->Training Community Advisory Board Community Advisory Board Partnership->Community Advisory Board Intervention Intervention Training->Intervention Host & Facilitator Manuals Host & Facilitator Manuals Training->Host & Facilitator Manuals Evaluation Evaluation Intervention->Evaluation 3-Arm Randomized Design 3-Arm Randomized Design Intervention->3-Arm Randomized Design Sustainment Sustainment Evaluation->Sustainment Mixed Methods Assessment Mixed Methods Assessment Evaluation->Mixed Methods Assessment Implementation Strategy Refinement Implementation Strategy Refinement Sustainment->Implementation Strategy Refinement

The Researcher's Toolkit

Essential Research Reagents and Materials

Table 3: Core Resources for Community-Based ACP Research

Research Component Specific Tools/Resources Application in ACP Research
Intervention Materials "Hello" game conversation cards, Conversation Project Starter Kit, TableTopics game Structured conversation prompts to facilitate ACP discussions in community settings
Assessment Tools ACP Fidelity Scale [37], NoMAD implementation measure [2], ACP Engagement Survey Measure implementation fidelity, normalization, and participant engagement
Documentation Resources Culturally adapted advance directive forms, surrogate designation documents, multi-language materials Legal documentation of ACP preferences appropriate for diverse populations
Implementation Supports ACP coordinator protocols [3], Lightning Report templates [3], training manuals Support integration of ACP into routine practice across settings
Data Collection Platforms Electronic data capture systems, natural language processing for EHR documentation [23], qualitative interview guides Multimethod data collection for comprehensive outcome assessment

Community-based trials represent an essential methodology for addressing disparities in ACP engagement among underserved populations. The protocols outlined provide a framework for rigorous intervention testing while maintaining cultural relevance and practical applicability. Successful implementation requires attention to both methodological considerations (cluster randomization, validated measures) and contextual factors (trusted community partnerships, culturally adapted materials).

Researchers should consider the following application guidelines:

  • Employ Hybrid Effectiveness-Implementation Designs to simultaneously test intervention effects and implementation strategies [3] [41]
  • Utilize Mixed Methods Approaches to capture both quantitative outcomes and qualitative experiences of underserved communities [85]
  • Apply Implementation Science Frameworks such as PRISM [3] and NPT [87] to identify contextual barriers and facilitators
  • Engage Community Stakeholders throughout the research process to ensure cultural relevance and sustainable implementation [86] [85]

Future research directions should focus on optimizing digital ACP systems for cross-setting coordination [2] [87], testing implementation strategies in diverse underserved communities, and developing tailored approaches for specific cultural contexts within broader implementation frameworks.

Conclusion

Successful implementation of advance care planning requires a multi-faceted, system-wide approach that addresses barriers at patient, clinician, organizational, and policy levels. The integration of implementation science frameworks like PRISM and CFIR provides a structured methodology for developing, executing, and evaluating ACP initiatives. Future directions must focus on culturally tailored interventions, digital health integration with interoperability, sustainable reimbursement models, and validated outcome measures that capture patient-centered values such as surrogate preparedness and communication quality. For biomedical researchers and drug development professionals, incorporating robust ACP processes into clinical trials can ensure more ethical, patient-centered research practices and generate valuable insights into long-term treatment goal concordance.

References