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Advance care planning among African Americans: A review and synthesis of theory application

Published online by Cambridge University Press:  13 December 2021

Christine Cleary Kimpel*
Affiliation:
School of Nursing, Vanderbilt University, Nashville, TN VA Tennessee Valley Healthcare System Nashville Campus, GRECC1310 24th Ave SNashville, TN 37212, USA
Rachel Lane Walden
Affiliation:
Annette and Irwin Eskind Family Biomedical Library, Vanderbilt University, Nashville, TN
Cathy Maxwell
Affiliation:
School of Nursing, Vanderbilt University, Nashville, TN
*
Author for correspondence: Christine Cleary Kimpel, School of Nursing, Vanderbilt University, 461 21st Ave S, Nashville, TN 37240, USA. E-mail: [email protected]
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Abstract

Objectives

Theoretical and conceptual frameworks are often underutilized in research, which may diminish understanding of the phenomena and contribute to the under-development of interventions. The topic of low/disparate rates of Advance Care Planning (ACP) among African Americans has been researched extensively; however, the use of theoretical and/or conceptual frameworks has not been reported. The purpose of this review is to describe theoretical and/or conceptual frameworks utilized in studies that investigated factors affecting perceptions of ACP or ACP rates among African Americans.

Methods

Utilizing a narrative, literature review process, themes were generated, applied, and described with frequencies across broad categories of study characteristics, framework categories and key constructs, mode of framework application, and quality of framework reporting.

Results

Four main types of frameworks were found with behavioral frameworks dominating the collection of studies. Complex, systems theoretical frameworks were less common. Framework use and reporting quality findings are described.

Significance of results

The problem of disparate rates of ACP among African Americans is nuanced and varied, stemming from both internal (e.g., personal, behavioral) and external factors (e.g., living conditions). While important and necessary to focus on internal, psychological factors, it is also vital to incorporate systems’ theories such as the Cumulative Disadvantage Theory to better understand and demonstrate inherent complexities. Recommendations for framework use are discussed for research and clinical application. Incorporating complexity science approaches and multi-systems theories may support multi-level modeling needed to understand this problem and reduce ACP disparities in this population.

Type
Review Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is a work of the US Government and is not subject to copyright protection within the United States. Published by Cambridge University Press
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© VA Tennessee Valley Healthcare System Nashville Campus, 2021.

Advance Care Planning (ACP) is an ongoing process of health behavior change in which patients and their loved ones establish their end-of-life care preferences and values prior to losing decision-making capacity (Fried et al., Reference Fried, Bullock and Iannone2009). Successful ACP is associated with increased use of hospice and palliative services at end-of-life, fewer in-hospital deaths, reduced suffering, and improved quality of life (Brinkman-Stoppelenburg et al., Reference Brinkman-Stoppelenburg, Rietjens and van der Heide2014). African Americans (15–47%) have historically had lower rates of ACP than whites (20–80%), and determinants of these disparities reflect conflicting findings (Sanders et al., Reference Sanders, Robinson and Block2016; Hong et al., Reference Hong, Yi and Johnson2018). Patterns of theory use in ACP studies may elucidate the variability of findings and enhance understanding of ACP disparities among African Americans.

Theory, as an integral part of science, describes, explains, and predicts phenomena (Dickoff et al., Reference Dickoff, James and Wiedenbach1968). Theories provide a conceptual basis for understanding and investigating relationships within social systems. A goal of hypothesis-testing is to form well-substantiated theory by demonstrating statistical evidence that supports assumed relationships. Despite this emphasis, the theory is rarely used or reported as underpinning research (Im, Reference Im2015), yet could strengthen studies in several ways. Theory provides structure and conceptual clarity to a research problem or a priori assumptions. Theory may also be challenged and refined through research by operationalizing constructs and testing propositions. To our knowledge, the use of theory in research of ACP disparities among African Americans is unexplored or synthesized.

The overarching intent of this review is to explore the use of theory related to ACP uptake in this research area (Mays et al., Reference Mays, Pope and Popay2005). The specific aim of this integrative review is to describe and synthesize the use of theoretical and conceptual models or frameworks used to investigate perceptions of ACP among African Americans and factors that influence ACP behaviors.

Methods

Search strategy

In collaboration with a biomedical librarian (RLW), a search strategy was implemented in CINAHL, PubMed, and Web of Science in July 2019, and updated in April 2021. Samples of the search strategy are available upon request. The first search yielded 493 non-duplicate studies, and the second search yielded 109; all studies were published between 2000 and 2021.

Inclusion criteria and study selection/review process

A PRISMA diagram (Figure 1) depicts the selection process and combined results for both searches (N = 602). Studies were included if they (1) used a theoretical or conceptual model/framework for any component of the study; (2) were written and published in English, (3) included at least a 10% partial sample of community-dwelling African Americans, (4) and investigated factors related to racial differences in ACP. Studies were excluded if the theoretical or conceptual model/framework was exclusively a methodological model, e.g., qualitative methods approach. Of note, the authors hereafter refer to theories as frameworks since often only a few concepts were used within studies. Titles and abstracts of all 602 studies were independently reviewed by two authors (CK, CAM) for relevance. Conflicts were resolved using Rayyan, a web-based application for systematic reviews (Ouzzani et al., Reference Ouzzani, Hammady and Fedorowicz2016). A total of 534 articles were excluded for reasons including (1) wrong population (e.g., nursing home residents, HIV, homeless, hospitalized patients, surrogate decision-makers), (2) wrong outcome (e.g., life-sustaining treatment, place of death), (3) wrong publication type (e.g., editorials, informational only, systematic review), and, (4) lack of relevance to the research question.

Fig. 1. PRISMA flow diagrama.

After a review of titles and abstracts, 84 studies met eligibility for full-text review (C.K.). During data abstraction, studies were closely reviewed for theory use, and 71 were eliminated because the use of theory was absent or reference to theory did not support the research process or dissemination of the study. Thirteen studies were included in the final review.

Data abstraction

Data abstraction was performed to extract data about study characteristics, conceptual framework categories and key constructs, mode or type of framework application, and quality of reporting. Information was collected from each study including authors, year of publication, duration, setting, sample, aims, design, variables/outcomes, analysis, results, and name (terminology) of theory. Regarding specific use of theory, data were abstracted for (a) inclusion of a figure, (b) relationship with ACP, (b) key concepts and propositions, (c) provision of and level of definition completeness, (d) rationale or justification for theory use, (e) modes or ways theory was applied. Abstracted data were entered into a table for comparison and synthesis. A publication table and figure were created from the data abstraction spreadsheet depicting study characteristics (Table 1) and framework characteristics (Figure 2), respectively.

Fig. 2. Summary of synthesis of theoretical approaches to ACP among African Americans.

Table 1. Study characteristics

Analysis

A unique process of the thematic organization was used to aggregate abstracted data, determine category definitions, and consistently apply the definitions to all data. For instance, the process of identifying modes of theory application began with abstracting text from different article sections into an Excel spreadsheet for side-by-side comparison. Similar to the process of qualitative, thematic analysis, the text was first inductively analyzed for types of theory use until themes were generated. Themes varied in complexity in terms of theory usage within individual studies. For instance, the theme of modes of theory application generated 10 unique ways in which theory was applied across studies, e.g., aims construction, variable selection. A detailed (print) version of this undertaking, including all theme definitions and process explanations is available upon request. For brevity, this report includes our most salient findings.

Results

Five sections were identified, from which we synthesized our findings, including: (1) study characteristics, (2) methodological approaches to the study aims, (3) theoretical frameworks and construct categories, (4) modes (study components) in which frameworks were applied, and (5) reporting quality. Figure 2 provides a summary of categories and components from which we discuss our synthesis.

Study characteristics

Thirteen studies were analyzed and synthesized (Waters, Reference Waters2000; Bullock, Reference Bullock2006; Allen et al., Reference Allen, Phillips and Pekmezi2009; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Inoue, Reference Inoue2016; Koss and Baker, Reference Koss and Baker2018; McAfee et al., Reference McAfee, Jordan and Sheu2019; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021). Years of publication ranged from 2000 to 2021 (Table 1). Sample sizes ranged from 21 to 6,946 with 6 of the studies having a sample of 102 participants or less. Eight studies reported an age range (minimum = 25 to maximum = 110) (Waters, Reference Waters2000; Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Inoue, Reference Inoue2016; McAfee et al., Reference McAfee, Jordan and Sheu2019; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020). Six study samples were composed of 100% African Americans (Waters, Reference Waters2000; Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020) and seven study samples consisted of 13.4% to 73.7% African Americans (Allen et al., Reference Allen, Phillips and Pekmezi2009; Inoue, Reference Inoue2016; Koss and Baker, Reference Koss and Baker2018; McAfee et al., Reference McAfee, Jordan and Sheu2019; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021). Of the ten studies with complete gender data, 4,868 were female (56.1%) and 3,652 male (42.1%) (Waters, Reference Waters2000; Bullock, Reference Bullock2006; Huang et al., Reference Huang, Crowther and Allen2016; Inoue, Reference Inoue2016; Koss and Baker, Reference Koss and Baker2018; McAfee et al., Reference McAfee, Jordan and Sheu2019; Collins et al., Reference Collins, Zoucha and Lockhart2020; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021). Five studies were conducted in the Southeast United States (Bullock, Reference Bullock2006; Allen et al., Reference Allen, Phillips and Pekmezi2009; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Sanders et al., Reference Sanders, Johnson and Cannady2019).

Methodological approaches

Methodological approaches to scientific aims within the studies included descriptive (N = 4 studies) (Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020), associative (N = 6) (Inoue, Reference Inoue2016; Koss and Baker, Reference Koss and Baker2018; McAfee et al., Reference McAfee, Jordan and Sheu2019; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021), and explanatory (N = 3) (Waters, Reference Waters2000; Allen et al., Reference Allen, Phillips and Pekmezi2009; Huang et al., Reference Huang, Crowther and Allen2016). Descriptive studies explored racial disparities in ACP using qualitative methods to generate themes of contributing factors. Associative studies investigated associations with surveys to examine events that co-occur with ACP behaviors. Explanatory studies investigated the causal influence of independent variables on ACP outcomes (e.g., ACP engagement) used a randomized controlled trial (Huang et al., Reference Huang, Crowther and Allen2016) or a quasiexperimental, one group, pre-posttest design (Waters, Reference Waters2000; Allen et al., Reference Allen, Phillips and Pekmezi2009).

Independent variables differed across studies such that synthesis was difficult. Across the quantitative studies, including one mixed-methods study, independent variables included cognitive (e.g., sense of control), socioeconomic (e.g., financial assets), demographic (e.g., age, living arrangement), and ACP knowledge and behavior variables (Waters, Reference Waters2000; Allen et al., Reference Allen, Phillips and Pekmezi2009; Huang et al., Reference Huang, Crowther and Allen2016; Inoue, Reference Inoue2016; Koss and Baker, Reference Koss and Baker2018; McAfee et al., Reference McAfee, Jordan and Sheu2019; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021). Among qualitative studies, including the mixed-methods study, interview guides were used to generate themes or analyze the content (Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020). Themes are identified in Table 1.

Heterogeneity of individual studies precluded in-depth synthesis of statistical significance or effect size. Table 1 provides a summary of individual study results. ACP perceptions and rates of ACP completion were influenced by sociodemographic variables (Inoue, Reference Inoue2016; Koss and Baker, Reference Koss and Baker2018; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021); the importance of family and social support in the ACP process (Waters, Reference Waters2000; Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; McAfee et al., Reference McAfee, Jordan and Sheu2019; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020), religion and faith (Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020); lack of awareness and the role of education (Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Hong and Kim, Reference Hong and Kim2020), and mistrust of the health care system (Bullock, Reference Bullock2006; Huang et al., Reference Huang, Crowther and Allen2016; Sanders et al., Reference Sanders, Johnson and Cannady2019; Collins et al., Reference Collins, Zoucha and Lockhart2020).

Framework categories and key constructs

In this section, we synthesize frameworks into categories (i.e., type of theory, e.g., behavioral) and discuss key constructs (i.e., core theory concepts). Frameworks were grouped according to construct similarities with definitions and categories assigned. Among 13 studies, 15 distinct models, theories, and/or frameworks were used with duplication of one theory only (i.e., Anderson's Health Model) (Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021). The frameworks were categorized as behavioral (explaining behavior change), systems (social ecological, environmental), moral (community-based participatory, patient-provider interaction), and/or process frameworks (how ACP happens). Each category, as well as overlap among categories are presented below.

Behavioral frameworks

Behavioral frameworks (N = 7) were the most frequently used category, including the following frameworks: the Integrated Behavior Model (McAfee et al., Reference McAfee, Jordan and Sheu2019), Protection Motivation Theory (Allen et al., Reference Allen, Phillips and Pekmezi2009), Expectancy Theory (Inoue, Reference Inoue2016), Transtheoretical Model of Change (West and Hollis, Reference West and Hollis2012), Social Ecological Theory (Sanders et al., Reference Sanders, Johnson and Cannady2019), the Health Literacy and Actions Framework (Huang et al., Reference Huang, Crowther and Allen2016), and Anderson's Health Model (Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021). Within these studies, ACP is characterized as a health behavior that is malleable to change (Fried et al., Reference Fried, Bullock and Iannone2009). The products of this change entail specific behaviors or actions such as family discussions or documentation of end-of-life care preferences (Fried et al., Reference Fried, Bullock and Iannone2009). Behavior refers to the observable human response to a situation (“Behavior,”). Health behavior refers to an interaction of knowledge, attitudes, and patterns of practice with health-related actions (e.g., physical activity) (Health Behavior, 1989). Behavior theory typically draws on a continuum of factors, ranging from individual, psychological factors to larger social forces (Kwon and Silva, Reference Kwon and Silva2020). Frameworks were designated as behavioral if constructs included either psychological (e.g., motivation) or social influences (e.g., family structure) and a behavioral component (e.g., completion of an advance directive). Six behavioral frameworks focused on psychological factors (e.g., beliefs) (Allen et al., Reference Allen, Phillips and Pekmezi2009; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; Inoue, Reference Inoue2016; McAfee et al., Reference McAfee, Jordan and Sheu2019; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021) while only one framework embedded ACP behavior within a social context (Sanders et al., Reference Sanders, Johnson and Cannady2019).

Systems frameworks

Two frameworks focused on systemic influences (e.g., financial, or social system) including Cumulative Disadvantage Theory (CDT) and Social Ecological Theory (Koss and Baker, Reference Koss and Baker2018; Sanders et al., Reference Sanders, Johnson and Cannady2019). Systems Theory asserts that complicated interrelationships and interdependencies among parts form a functioning, cohesive whole that influences the action(s) of individuals (Systems Theory, 1980). Such theory posits that behavior emerges from the sum of these parts and those individual factors cannot be easily isolated from the larger system with which they interact. Constructs include structural forces (e.g., social/economic advantages and disadvantages within institutional procedures and customs), individual life trajectories, resource and health inequities, moral decision-making, and social systems.

Moral frameworks

The moral category of frameworks entails how to approach a problem based on ethical standards that delineate right from wrong (“Morals,”). Frameworks were categorized as moral if constructs aligned with an ethical principle such as justice, autonomy, or beneficence (Beauchamp and Childress, Reference Beauchamp and Childress2001). This category was applied broadly to five of the frameworks and sub-divided into two subcategories of key constructs: community-based participatory approaches and patient-provider interactions (Waters, Reference Waters2000; Bullock, Reference Bullock2006; Huang et al., Reference Huang, Crowther and Allen2016; Collins et al., Reference Collins, Zoucha and Lockhart2020).

Community-based participatory approaches are often used for effective and lasting resolution of social and economic inequities through sharing power and ownership within communities (Wallerstein and Duran, Reference Wallerstein and Duran2010; Jull et al., Reference Jull, Giles and Graham2017). One study used such an approach to boost ACP rates with the Faith-Based Promotion Model by delivering ACP education and recruitment within a faith community (Bullock, Reference Bullock2006). The Empowerment Education Theory doubles as an empowerment framework at both the patient and community level. This theory emphasized the capabilities within the community and the need for community input (Waters, Reference Waters2000)

Additionally, moral frameworks focused on patient–provider interactions incorporated patient empowerment and a professional orientation. Patient empowerment in health care decision-making refers to actively involving patients through education and communication (Guanais and Soares, Reference Guanais and Soares2017). Self-Determination Theory supported the motivational interviewing component of a multi-faceted ACP intervention (Huang et al., Reference Huang, Crowther and Allen2016). Motivational interviewing empowers individuals through a cooperative process of expanding participant self-awareness of possibilities through coaching (Huang et al., Reference Huang, Crowther and Allen2016). The Ethic of Care Framework and Leininger's Culture Care Theory argue for a professional orientation to provider–patient decision-making as opposed to an authoritarian approach to clinical decision-making (Waters, Reference Waters2000; Collins et al., Reference Collins, Zoucha and Lockhart2020).

Process frameworks

A process refers to a natural occurrence characterized by gradual changes that lead to a specific end-product (Merriam-Webster). We categorized frameworks as a process if they consisted of stages or phases of change. Four theories incorporated process elements: Precaution Adoption Framework, Protection Motivation Theory, Transtheoretical Model (TTM), and Erikson's Stages of Development (Allen et al., Reference Allen, Phillips and Pekmezi2009; West and Hollis, Reference West and Hollis2012; McAfee et al., Reference McAfee, Jordan and Sheu2019). The Precaution Adoption Framework represented stages of engagement with precautionary measures for health purposes (McAfee et al., Reference McAfee, Jordan and Sheu2019). The Protection Motivation Theory was used to test hypotheses of how an individual's first reaction to ACP may be influenced by processes of coping and threat appraisal (Waters, Reference Waters2000). The TTM and Erikson's Stages of Development were used to create an interview guide and organize focus groups by age group, respectively (Allen et al., Reference Allen, Phillips and Pekmezi2009).

Examples of process constructs included temporal stages, such as complete lack of awareness of issue and maintenance (TTM, Precaution Adoption Theory); coping and threat appraisal processes of evaluating severity, vulnerability, and self-efficacy response costs (Protection Motivation Theory); and developmental stages of intimacy versus isolation and ego integrity versus despair (Erikson) (Allen et al., Reference Allen, Phillips and Pekmezi2009; West and Hollis, Reference West and Hollis2012; McAfee et al., Reference McAfee, Jordan and Sheu2019).

Mode of application

We identified 10 unique modes of framework application across studies, i.e., ways in which the theory was used in the research or dissemination process. Modes of application included aims construction (n = 9 frameworks), instrument development (n = 8), and result explanations (n = 8) were the most common modes of applications. These were followed by: intervention creation (n = 4), variable selection (n = 3), recruitment methods (n = 2), setting selection (n = 2), eligibility criteria (n = 2), data analysis (n = 2), and focus group organization (n = 1).

Reporting quality

We assessed reporting quality of each framework within studies by the following criteria: framework definition inclusion and completeness, rationale for framework use, inclusion of a figure to display the framework, framework citation or reference, reference to theory throughout the report, and fit of theory with study content. Of the nine frameworks that were defined, four definitions were deemed the highest level of completeness (Allen et al., Reference Allen, Phillips and Pekmezi2009; Inoue, Reference Inoue2016; Collins et al., Reference Collins, Zoucha and Lockhart2020; Hong and Kim, Reference Hong and Kim2020; Suntai, Reference Suntai2021; Suntai et al., Reference Suntai, Noh and Won2021), three were considered high (Waters, Reference Waters2000; McAfee et al., Reference McAfee, Jordan and Sheu2019), and two were moderate (Koss and Baker, Reference Koss and Baker2018; Sanders et al., Reference Sanders, Johnson and Cannady2019). Completeness of the definition was determined by the inclusion of key constructs, relationships among constructs, and explanation of the overall phenomenon. The remaining six frameworks were not defined, i.e., lowest level of completeness (Bullock, Reference Bullock2006; West and Hollis, Reference West and Hollis2012; Huang et al., Reference Huang, Crowther and Allen2016; McAfee et al., Reference McAfee, Jordan and Sheu2019).

Rationale for framework use refers to the presence or absence of a rationale for why the framework was applied to the study. Within studies, five frameworks were accompanied by an explanation for why the framework was used. Five frameworks included a description of other applications of the theory within previous health studies (Allen et al., Reference Allen, Phillips and Pekmezi2009; Huang et al., Reference Huang, Crowther and Allen2016; McAfee et al., Reference McAfee, Jordan and Sheu2019; Hong and Kim, Reference Hong and Kim2020). The Ethic of Care framework was justified as part of a professional nursing organization's position statement (Waters, Reference Waters2000). Anderson's Health Model was justified in another study as having predictive and explanatory power (Suntai, Reference Suntai2021).

Four of the 15 frameworks within studies were displayed via conceptual figures in the studies (Allen et al., Reference Allen, Phillips and Pekmezi2009; Huang et al., Reference Huang, Crowther and Allen2016; Collins et al., Reference Collins, Zoucha and Lockhart2020; Suntai et al., Reference Suntai, Noh and Won2021). For instance, Huang et al. (Reference Huang, Crowther and Allen2016) used figures to represent how two frameworks worked in tandem: the Health Literacy and Health Actions Framework and the Self-Determination Theory (Huang et al., Reference Huang, Crowther and Allen2016). One figure was depicted in the methods section to show how the intervention and outcome measures corresponded to the frameworks (Huang et al., Reference Huang, Crowther and Allen2016). The second figure appeared in the discussion section as an enhanced version of the first figure based on the qualitative data (Huang et al., Reference Huang, Crowther and Allen2016).

As a final area of synthesis, we examined the fit of the framework constructs to the specific purpose or aims of each study related to ACP among African Americans. Overall, several of the theories aligned with each research purpose and exploratory factors that influence ACP and perceptions among African Americans. Behavioral theories that focused on psychological factors with ACP provided helpful explanations of relationships among factors with ACP. For instance, Allen et al. (Reference Allen, Phillips and Pekmezi2009) used the Precaution Adoption Framework by adapting constructs (seven stages: lack of awareness through behavior maintenance) into a questionnaire and simulating threatening scenarios with vignettes of persistent vegetative states (Allen et al., Reference Allen, Phillips and Pekmezi2009). ACP has traditionally been conceptualized as a process most useful before crises occurs. The use of this framework demonstrated that the ACP process is useful for all populations of all ages, even those that are either less likely to adopt preventative screening such as younger patients or those that may avoid health care due to historic exploitation and discrimination (Allen et al., Reference Allen, Phillips and Pekmezi2009).

CDT aligned with the issues of the disparate, low uptake of ACP among African Americans. This framework addressed the general problem of social inequities, which is congruent with ACP inequities. Additionally, this framework incorporated a nuanced account of the financial and social factors that are a source of many types of inequities among African Americans (Koss and Baker, Reference Koss and Baker2018). CDT addressed the complex social determinants of health beyond the individual and psychological forces that contribute to decision-making.

Other frameworks aligned with important factors such as faith or health literacy. For instance, the Faith-Based Promotion Model was used as an action-oriented, community-based participatory framework which was consistent with African Americans who culturally and historically have relied on their faith community as a source of guidance and strength, and a way to take action to promote social change (Bullock, Reference Bullock2006). Lastly, the Self-Determination Theory and the Health Literacy and Health Actions Framework applied to decision-making, the need for complex interventions, and the essential component of health literacy to disparate rates of ACP engagement among African Americans (Huang et al., Reference Huang, Crowther and Allen2016).

Discussion

This review and synthesis underscore the application of theories that target individual vs. higher-level factors. While useful for stimulating change in individuals or small groups, such application may not be sufficient to sustain change at local and national levels. Health disparities research has evolved to address multi-faceted indicators within systems and communities, and similar approaches should be considered to address inequities in ACP uptake among African Americans (Myers, Reference Myers2009). This review contributes to the scientific literature by identifying how theory use in this area is varied and encompasses behavioral, social/systems, elements of process, and moral/ethical perspectives. Among the four perspectives, most frameworks focused on behavior factors from the individual, psychological perspective. Despite this prevalence, a more systems-based perspective may be warranted, given the structural and social determinants of ACP inequities among African Americans (Hong et al., Reference Hong, Yi and Johnson2018; Sanders et al., Reference Sanders, Johnson and Cannady2019).

Implications

These findings have implications for research and clinical practice. Theory-guided research is lacking, but its use to comprehensively address factors of ACP inequities among African Americans is promising (Im, Reference Im2015). The study of the problem of ACP inequities among African Americans has exploded over the last 30 years since the passing of the Patient Self-Determination Act of 1990 (Sanders et al., Reference Sanders, Johnson and Cannady2019; Teoli and Ghassemzadeh, Reference Teoli and Ghassemzadeh2019), and the use of theory may help to overcome challenges and move the field forward. Several of the studies (n = 11) included in this review were published within the last 10 years, suggesting that theory use has become more important to investigators. These studies provided a means to evaluate different theories by testing propositions, validating concepts, and identifying the boundaries of application across settings and populations. Likewise, each theory acted as an organizing framework to identify aims, isolate relevant variables, select participants, and construct instruments. This review of theoretical approaches to complex problems may spark new directions of research toward effective and sustainable solutions for marginalized communities.

This review detailed prominent and useful theories for the problem of inequitable ACP uptake among African Americans but also identified underused theoretical approaches to address the complex nature of this problem. Health and social inequity theories such as the Cumulative Disadvantage Theory (CDT) posit that life-course trends, intersectionality of marginalized identities, and systemic factors contribute to deepening inequities (O'Rand, Reference O'Rand1996). The CDT use in one study demonstrated how a theory may be used to address the complexity and how it might be used to its fullest extent (Koss and Baker, Reference Koss and Baker2018). Life-course theories such as CDT posit that early childhood factors and ongoing socioeconomic and health status have a cumulative effect on future health and socioeconomic status (O'Rand, Reference O'Rand1996). Koss and Baker (Reference Koss and Baker2018) applied this temporal component in their study of ACP inequities by averaging longitudinal data from the Health and Retirement Study (i.e., household income from four waves of data collection). Additionally, while studies often dilute socioeconomic status to one variable (e.g., annual individual income), this study applied CDT by including multiple financial indicators (e.g., home ownership) to address the full picture (Koss and Baker, Reference Koss and Baker2018).

CDT, the Social Ecological Framework, and the Ethic of Care Framework (Waters, Reference Waters2000; Koss and Baker, Reference Koss and Baker2018; Sanders et al., Reference Sanders, Johnson and Cannady2019) address the complex nature of ACP inequities in a way that individual-level theories cannot. These systems frameworks were consistent with Complexity-Informed Approaches to Science (Greenhalgh and Papoutsi, Reference Greenhalgh and Papoutsi2018). Such approaches acknowledge the intricacy of interactions among systems, call for a strong theoretical foundation with flexible methodology, and advocate for the representation of a multitude of perspectives (Greenhalgh and Papoutsi, Reference Greenhalgh and Papoutsi2018). The individual-level theoretical approaches to ACP inequities may not address complexity by providing a one-size-fits-all match with subject matter. Additionally, these approaches may account for variations in effect sizes across ACP studies. Systems frameworks align well with the goal of understanding a problem that originates from multiple overlapping systems and structures, the necessity of gleaning wisdom and experience from multiple perspectives (e.g., patients, caregivers, community health workers), and grounding research in a strong theoretical background.

Clinical practice may benefit from the findings of this review. First, understanding the influence of overlapping perspectives highlights the complexity of the problem of ACP among African Americans. Sanders et al. (Reference Sanders, Johnson and Cannady2019) applied the Social Ecological Framework to structure participant perspectives and qualitatively analyze data according to social role (Sanders et al., Reference Sanders, Johnson and Cannady2019). African American health care providers were more likely to discuss factors such as medical mistrust and discrimination. However, seriously ill, African American patients, their caregivers, and healthy community members were more willing to learn about ACP than suggested by participants that worked in health care (Sanders et al., Reference Sanders, Johnson and Cannady2019). Health care providers must not assume that African Americans are not willing to engage in ACP.

Second, some of the frameworks discussed in this review provide practical applications for the clinical practice setting. For instance, the Ethic of Care framework, applied by Waters (Reference Waters2000), acknowledged the complex nature of decision-making and the ethical duty of health care providers to celebrate patient decision-making and create opportunities to collaborate with patients (Waters, Reference Waters2000). This framework underpins a philosophy of care as well as an attitude. ACP involves rational preferences that originate from unconscious biases, health literacy levels, personal experiences, and fears. Providers and other health care professionals may develop ways to understand these deeper reasons, as well as create an environment where discussing these topics is easier. The myriad of frameworks may be useful to provide ideas as to how this problem may be approached.

Limitations and strengths

This review could reflect publication bias and was limited to published articles that could be found on CINAHL, PubMed, and Web of Science. However, the systematic search strategy was conducted with the guidance of a trained and experienced biomedical librarian (RLW), which improved the return of results. Gray literature was not considered in this review, so conclusions are limited to those that have been published and are available in the relevant databases. The review also reflects author(s) subjectivity in assessment and grading within particular synthesis areas (e.g., reporting quality); however, the assessment provides the reader with a metric to consider differences among studies. In terms of strengths, a rigorous and systematic review process was used and a systematic inductive approach was used to synthesize results into an organized final product. Our intent was not to directly evaluate the frameworks applied to this sample of articles, rather we identified frameworks and describe how frameworks were applied and reported. Future reviews and research may consider the criteria for theory evaluation prior to utilization within studies.

Conclusion

To our best knowledge, this literature review provides the first examination of theory use to describe and explain factors influencing ACP perceptions and rates among African Americans. Findings from this review may facilitate future research on this topic and guide use of theory in future research. Research and clinical practice rely on clear reporting to adopt and use theory at all levels.

Conflicts of interest

The authors declare none.

References

REFERENCES

Allen, RS, Phillips, LL, Pekmezi, D, et al. (2009) Living well with living wills: Application of protection motivation theory to living wills among older Caucasian and African American adults. Clinical Gerontologist 32(1), 4459.CrossRefGoogle ScholarPubMed
Beauchamp, T and Childress, J (2001) Principles of Biomedical Ethics, 5th ed. New York: Oxford University Press.Google Scholar
Brinkman-Stoppelenburg, A, Rietjens, JA and van der Heide, A (2014) The effects of advance care planning on end-of-life care: A systematic review. Palliative Medicine 28(8), 10001025. doi:10.1177/0269216314526272.CrossRefGoogle ScholarPubMed
Bullock, K (2006) Promoting advance directives among African Americans: A faith-based model. Journal of Palliative Medicine 9(1), 183195.CrossRefGoogle ScholarPubMed
Collins, JW, Zoucha, R, Lockhart, JS, et al. (2020) Cultural aspects of end-of-life advance care planning for African Americans: An ethnonursing study. Journal of Transcultural Nursing. doi:10.1177/1043659620960788Google ScholarPubMed
Dickoff, J, James, P and Wiedenbach, E (1968) Theory in a practice discipline: Part 1. Practice oriented theory. Nursing Research 17(5), 415434. https://journals.lww.com/nursingresearchonline/Fulltext/1968/09000/THEORY_IN_A_PRACTICE_DISCIPLINE__PART_I__PRACTICE.6.aspxCrossRefGoogle Scholar
Fried, TR, Bullock, K, Iannone, L, et al. (2009) Understanding advance care planning as a process of health behavior change. Journal of the American Geriatrics Society (JAGS) 57(9), 15471555. doi:10.1111/j.1532-5415.2009.02396.xCrossRefGoogle ScholarPubMed
Greenhalgh, T and Papoutsi, C (2018) Studying complexity in health services research: Desperately seeking an overdue paradigm shift. BMC Medicine 16(1), 95. doi:10.1186/s12916-018-1089-4CrossRefGoogle ScholarPubMed
Guanais, FC and Soares, AA (2017) Patient empowerment can lead to improvements in health-care quality. Bulletin of the World Health Organization 95(7), 489490. doi:10.2471/BLT.17.030717Google Scholar
Hong, M and Kim, K (2020) Advance care planning among ethnic/racial minority older adults: Prevalence of and factors associated with informal talks, durable power of attorney for health care, and living will. Ethnicity & Health, 110. doi:10.1080/13557858.2020.1734778Google ScholarPubMed
Hong, M, Yi, E-H, Johnson, K, et al. (2018) Facilitators and barriers for advance care planning among ethnic and racial minorities in the U.S.: A systematic review of the current literature. Journal of Immigrant and Minority Health 20(5), 12771287. doi:10.1007/s10903-017-0670-9Google ScholarPubMed
Huang, CHS, Crowther, M, Allen, RS, et al. (2016) A pilot feasibility intervention to increase advance care planning among African Americans in the deep south. Journal of Palliative Medicine 19(2), 164173. doi:10.1089/jpm.2015.0334CrossRefGoogle ScholarPubMed
Im, EO (2015) The current status of theory evaluation in nursing. Journal of Advanced Nursing 71(10), 22682278. doi:10.1111/jan.12698CrossRefGoogle ScholarPubMed
Inoue, M (2016) The influence of sociodemographic and psychosocial factors on advance care planning. Journal of Gerontological Social Work 59(5), 401422.CrossRefGoogle ScholarPubMed
Jull, J, Giles, A and Graham, ID (2017) Community-based participatory research and integrated knowledge translation: Advancing the co-creation of knowledge. Implementation Science 12(1), 150150. doi:10.1186/s13012-017-0696-3CrossRefGoogle ScholarPubMed
Koss, CS and Baker, TA (2018) Where there's a will: The link between estate planning and disparities in advance care planning by white and black older adults. Research on Aging 40(3), 281302. doi:10.1177/0164027517697116Google ScholarPubMed
Kwon, HR and Silva, EA (2020) Mapping the landscape of behavioral theories: Systematic literature review. Journal of Planning Literature 35(2), 161179. doi:10.1177/0885412219881135CrossRefGoogle Scholar
Mays, N, Pope, C and Popay, J (2005) Systematically reviewing qualitative and quantitative evidence to inform management and policy-making in the health field. Journal of Health Services Research & Policy 10(1_suppl), 620.CrossRefGoogle ScholarPubMed
McAfee, CA, Jordan, TR, Sheu, JJ, et al. (2019) Predicting racial and ethnic disparities in advance care planning using the integrated behavioral model. Omega (Westport) 78, 30222817691286.CrossRefGoogle Scholar
Myers, HF (2009) Ethnicity and socio-economic status-related stresses in context: An integrative review and conceptual model. Journal of Behavioral Medicine 32(1), 919. doi:10.1007/s10865-008-9181-4Google ScholarPubMed
O'Rand, AM (1996) The precious and the precocious: Understanding cumulative disadvantage and cumulative advantage over the life course. Gerontologist 36(2), 230238. doi:10.1093/geront/36.2.230CrossRefGoogle ScholarPubMed
Ouzzani, M, Hammady, H, Fedorowicz, Z, et al. (2016) Rayyan – a web and mobile app for systematic reviews. Systematic Reviews 5(210). doi:10.1186/s13643-016-0384-4CrossRefGoogle Scholar
Sanders, JJ, Robinson, MT and Block, SD (2016) Factors impacting advance care planning among African Americans: Results of a systematic integrated review. Journal of Palliative Medicine 19(2), 202227. doi:10.1089/jpm.2015.0325. PMID: 26840857CrossRefGoogle ScholarPubMed
Sanders, JJ, Johnson, KS, Cannady, K, et al. (2019) From barriers to assets: Rethinking factors impacting advance care planning for African Americans. Palliative Support Care 17(3), 306313.CrossRefGoogle ScholarPubMed
Suntai, Z (2021) Creation of a living will in older adulthood: Differences by race and ethnicity. Omega: Journal of Death and Dying. doi:10.1177/0030222821991321Google ScholarPubMed
Suntai, Z, Noh, H and Won, CR (2021) Examining racial differences in the informal discussion of advance care planning among older adults: Application of the andersen model of health care utilization. Journal of Applied Gerontology. doi:10.1177/0733464821993610Google ScholarPubMed
Teoli, D and Ghassemzadeh, S (2019) Patient Self-Determination Act. [Updated 2021 Sep 5]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing. Available from: https://www.ncbi.nlm.nih.gov/books/NBK538297/.Google Scholar
Wallerstein, N and Duran, B (2010) Community-based participatory research contributions to intervention research: The intersection of science and practice to improve health equity. American Journal of Public Health 100(Suppl 1), S40S46. doi:10.2105/ajph.2009.184036CrossRefGoogle ScholarPubMed
Waters, CM (2000) End-of-life care directives among African Americans: Lessons learned – a need for community-centered discussion and education. Journal of Community Health Nursing 17(1), 2537.Google Scholar
West, SK and Hollis, M (2012) Barriers to completion of advance care directives among African Americans ages 25–84: A cross-generational study. Omega (Westport) 65(2), 125137.CrossRefGoogle ScholarPubMed
Figure 0

Fig. 1. PRISMA flow diagrama.

Figure 1

Fig. 2. Summary of synthesis of theoretical approaches to ACP among African Americans.

Figure 2

Table 1. Study characteristics