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      Engagement in PCORnet Research Networks

      research-article
      , PhD, MPH, MBA * , , , MD, MS, MPH
      Medical Care
      Lippincott Williams & Wilkins

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          Abstract

          Efforts to engage patients and stakeholders are a ubiquitous element of Patient-Centered Outcomes Research Institute (PCORI)’s broader research program. The focus of that research is comparative effectiveness research that is built on what is important to patients. When PCORI began operations in 2011, it made an unwavering commitment to patient engagement while, at the same time, acknowledging that there was no proven recipe for doing so effectively. There was valuable experience in the field of community-based participatory research, but little evidence and no road map for applying this experience to the requirements of building data networks or designing and conducting comparative effectiveness studies. For this Special Issue, we invited research networks across the United States that are part of PCORnet to describe their engagement strategies in detail and to bring out challenges, limitations, successes, and failures. The 10 papers offer an important body of knowledge about how to engage stakeholders in governance and implementation of research, and on the state of the science of patient and multistakeholder engagement. These papers, encompassing 6 Clinical Data Research Networks (CDRNs), 3 Patient-Powered Research Networks (PPRNs), and 1 PCORnet demonstration project, represent a diversity of approaches in some of the earliest applications of the science of engagement to patient-centered outcomes research (PCOR). Among the PCORnet partner networks the goals of stakeholder engagement, and the methods used to accomplish these goals, were diverse. Some PPRNs, such as Crohn’s and Colitis Foundation of America Partners (CCFA PPRN) and the MoodNetwork (Sylvia et al1) focused on engagement to improve participation in their research networks. Using focus groups and interviews, the CCFA PPRN sought to understand patient needs and preferences for how to develop the network and improve engagement using the participation portal. Similarly, the MoodNetwork investigators conducted a large survey (over 4000 participants) to understand patient perspectives regarding research and enrollment in this online network. Other partner networks focused on innovative approaches for engagement to develop governance mechanisms. For example, Arthritis Patient Partnership with Comparative Effectiveness Researchers (Nowell et al2) evaluated the experience of patient governors to improve governance processes that were originally developed in collaboration between Principal Investigators and members of the community. Greater Plans Collaborative (GPC) used different groups’ discussion methods—World Café (group discussion) and Future Search (paired discussion)—to explore and delineate key dimensions of engagement that may contribute to a framework for communication (Kimminau et al3). Another group of networks implemented tools for increasing interaction among patients and stakeholders and leveraging their engagement to elicit research priorities and improve study design. The methods were diverse, sometimes experimental and, not surprisingly, met with varying degrees of success and sustainability depending on the stakeholders engaged and overall network structure. The New York City Clinical Data Research Network (NYC-CDRN) held listening sessions of groups of clinicians and patients to explore the use of big data in health research (Goytia et al4). Research Action for Health Network (REACHnet) used stakeholder advisory groups who met over multiple meetings to discuss research priorities and set parameters to communicate to researchers interested in designing person-centered studies related to those priorities (Haynes et al5). Mid-South CDRN demonstrated a unique “community engagement studio” method which enables researchers to work closely with community members in focused sessions as they design studies. Lastly, Patient-centered SCAlable National Network for Effectiveness Research (pSCANNER) implements online modified Delphi panels, a deliberative and iterative approach to attaining consensus with discussion and statistical feedback, to engage large numbers of patients, caregivers, clinicians, and researchers in structured activity to determine research priorities (Kim et al6). One interesting theme seen within several of the networks is that engagement using multilevel strategies allows for matching participation opportunities to the varying interests, capacity, and desires of participants. Most of the networks use more than 1 engagement strategy. Often, engagement in governance and advisory groups involved relationship building and occurred over longer periods of time. In contrast, advice on specific issues or projects occurred via interviews, focus groups, surveys, or one-time meetings (Table 1). TABLE 1 Scale of Engagement by Network Three papers describe comprehensive multilevel strategies. Warren et al,7 report on such an approach in Accelerating Data Value Across a National Community Health Center Network (ADVANCE). Patient stakeholders in ADVANCE sit on the governing committee to develop policies, are members of a committee that select and oversee research projects, and serve as “ambassadors” to mentor less experienced stakeholders. Wilkins et al,8 describe the Mid-South CDRN’s 4-level approach to engagement in which patients can have deep involvement in research and network oversight, provide ongoing input on research questions and proposals, act as periodic consultants to investigators, or have a lower level of involvement as one-time participants in interviews or respondents to surveys. Finally, pSCANNER, by Kim and Helfand,6 offers detailed descriptions of high-touch (eg, in person), long-term engagement strategies for members of stakeholder governing boards and condition-specific advisory boards; high-tech, shorter-term but intensive online panels for setting consensus research priorities, and codesign teams that design studies focused on those research priorities. Another theme is the ambitious size and scale of engagement in research. Table 1 summarizes how many stakeholders were engaged in each study in 4 categories: in governance and decision making, in advisory committees providing input over a period of time, and in one-time engagements such as with interviews or surveys. Examples of studies that leverage advice from a steering committee or advisory group with 10–18 individuals including patients and clinicians might not be unusual. Attempts at engagement with dozens to hundreds of advisors with responsibilities beyond being a subject of research are rare. We believe that researchers can learn from the frank assessment of challenges and limitations that these investigators encountered. Despite best efforts, the patient stakeholders engaged were not as diverse as the patient populations they represent. A number of authors recognize the need to educate patient stakeholders about research so that they can more meaningfully contribute to discussions. However, as patients become more educated about research and involved in governance, they may in fact become less able to represent broader patient perspectives. The large number of stakeholders engaged in these networks represents a tremendous investment of resources which also presents a challenge. Although grant funding may support engagement in the short-term, sustainability will require ongoing funding so that improvements in research from engagement are not lost. In addition, there is a lack of formal evaluation of engagement strategies. Most of the papers rely on descriptive process measures such as number of participants, number of meetings, demographics, and qualitative data to assess performance. The science of engagement needs better measures and methods of evaluation to move the field forward. Finally, these articles report an incipient but important findings on the currency of comparative effectiveness research, or PCOR. PCOR recognizes “the diverse nature of real-world patients” (as REACHNet put it) and the general goal that research should reflect the needs and priorities of patients. These principles are easy to identify with and were universally accepted by patients across the networks, but they are not the only principles that underlie PCOR, which focuses on comparing alternative treatments to identify which treatments work best when taking account of each individual’s characteristics and preferences. In their interactions with researchers and other stakeholders, the patient communities engaged in these programs described wide-ranging priorities, such as reducing stigma, increasing access to care, preventing progression of disease, improving patients’ understanding of medical information, alleviating symptoms, and redesigning delivery systems. But in articulating their priorities and needs, they also endorsed other foundational concepts of PCOR. REACHNet, for example, prioritized “the effectiveness of weight loss programs for different types of people (personality, body type, preferences, age, etc.).” The CCFA PPRN asserted that comparative information about treatment alternatives would lead to better health decisions and outcomes, and that should measure the success rates of the varying combinations of medications, alternative treatments, and diet/lifestyle approaches they have shaped as “experimenters” learning from their own experience. As the field learns from these early experiences, lessons can be adapted and applied throughout the research continuum. If PCORI can build on these insights, it will fulfill the promise of comparative effectiveness research: to identify what clinical and public health interventions work best for improving health.

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          Effective Engagement Requires Trust and Being Trustworthy

          Trust is essential to building and maintaining mutually respectful relationships, especially partnerships involving patients or community stakeholders and researchers, in which there is often an inherent imbalance of power. Patients and community members who are stakeholders in the design and conduct of health research rely on researchers’ honesty and willingness to protect them from harm. Although human research protections are in place for research participants, no such institutional protections are in place to provide oversight for patients and community partners involved in the research. Such vulnerability leads to lack of trust, which remains one of the most commonly cited barriers to public participation in research, especially among groups underrepresented in research.1 As public involvement in research continues to evolve, the types of relationships with researchers have changed from being participants in research projects to being consultants, advisory board members, and even patient and community principal investigators. These new roles and increasing power for stakeholders have not diminished the importance of trust. Instead, the need for trust is perhaps more important as patients and community members must navigate less familiar research settings and must depend on researchers to share resources, leadership, and decision-making. The critical role of trust in public engagement is evident in publications emerging from newer approaches to engagement such as those used in the National Patient-Centered Clinical Research Network (PCORnet). The NYC Clinical Data Research Network modified its engagement strategies to facilitate involvement of people with limited trust and found lack of trust to be associated with concerns about data privacy and security, and lack of confidence that findings would be shared with the community.2 Within PCORnet, most networks identified trust as essential to achieving high levels of engagement and the need to build and nurture trust was clear.3 The recurring themes of trust and trustworthiness in public engagement also highlights the gap in our knowledge related to the underpinnings of trust in community-academic relationships, the need to measure, track, and improve trust, and the responsibility of researchers to become more trustworthy. If building trust is widely recognized as essential to engagement, why after decades of community engagement in research, does trust remain so elusive? One challenge is its complexity. Trust is a multidimensional construct and though the term is used often, many people find it difficult to define. In general, trust refers to a firm belief in the reliability, truth, and ability or strength of someone or something.4 Trust has also been defined as the willingness to be vulnerable to the actions of another party, irrespective of the ability to monitor or control the other party.5 An individual may have trust in a specific researcher or abstract trust in the research enterprise. There are a number of factors that influence an individual’s level of trust in research including educational attainment, cultural beliefs, and personal as well as their community’s experiences with research. Despite its importance, little is known about strategies to improve trust among research participants and we are only beginning to consider trust among patients and community members who are involved in research roles as collaborators and partners. The lack of validated tools to measure trust hampers our ability to determine the most effective ways to engender and improve trust. A systematic review identified 45 instruments that measure trust.6 The most frequently identified dimensions of trust in health systems are honesty, competency, fidelity, confidentiality, and global/system trust, whereas safety, fairness, and communication are more consistently identified dimensions of trust in the research setting. All but 2 of those 45 instruments were developed to measure trust in health systems or were designed for use by health professionals, not researchers. Because the relationships between health providers and patients are different from those between researchers and patient and community stakeholders, these existing instruments are not ideal for assessing trust in research partnerships. This difference was prominent in the work of the Greater Plains Collaborative, which contrasts trust in patient versus community engagement.7 Trust among patients was more likely built on interpersonal relationships, codified through formal processes, and unlikely to be transferred to others. Interestingly, concerns about safety and fairness are also more common among racial and ethnic minorities8,9 and may reflect the underlying vulnerability that is inherent in research. Personal experiences with health systems, unequal access to health care, experiences with discrimination, and the history of unethical biomedical research likely contribute to the lack of trust among minorities.1,10,11 Other groups experiencing health inequities, such as individuals with lower educational attainment, also tend to be less trusting of research and the medical establishment. Consequently, the populations most likely to make research more relevant to them through engagement, are those less likely to engage, and lack of trust is a major reason why. Understanding this variability in levels of trust by population will require that trust measures be valid and relevant across populations. Engagement is required, then, even to develop effective trust measures. Recognition of the different influencers and dimensions of trust is essential because trust instruments that measure competency, fidelity, and confidentiality may not capture lack of trust related to safety, communication, fairness, and negative intentions. In addition, dimensions of trust may present differently in community-academic partnerships, than among volunteers who are study participants. For example, a study participant who lacks trust related to fairness may be concerned that he is more likely to be randomized to placebo than a treatment deemed more beneficial, though a patient advocacy organization partnering in a research study may not trust the research team to fairly distribute resources. Within the research setting, and perhaps more broadly in the health care system, the focus on trust is often on changing the patients, participants, or community members to make them more trusting. The attention is on the public’s lack of trust or distrust in research, and typically not on whether researchers are trustworthy. This framing, which may be subconscious, absolves researchers and the research enterprise of their roles in the relationship. The onus is on the public to change and be more trusting. Researchers and research institutions must place greater emphasis on being trustworthy and creating a culture that is inclusive and mutually respectful. This will require a shift in how researchers consider trust such that patient and community perspectives on trustworthiness of the research enterprise are more central. To enhance trust and build more effective patient and community-academic partnerships will require tools and strategies based on 3 concepts (Fig. 1): The most important dimensions of trust differ based on the role in the research such that trust related to public involvement in more advanced research roles is often related to fairness and communication, and less related to competency and systems trust. Characteristics of trustworthy researchers include being empathetic, accessible, approachable, honest, respectful, attentive, and humble. These characteristics are as important as, if not more than, technical competence and prestige of the research institution. Strategies that enhance trust must build on the principles of community engagement12 including balancing power dynamics, equitable distribution of resources, effective bidirectional communication, shared decision-making, and valuing of different resources and assets (such as the lived experience and knowledge of group norms and perspectives). FIGURE 1 Conceptual framework for enhancing trust among and community-academic partnerships. Developing new tools to measure trust and testing interventions to improve trust must be done in partnership with patients and communities. This will ensure that instruments include content areas that reflect the research roles and include definitions and perceptions of trust relevant to underrepresented populations. Valid tools will improve understanding of trust and facilitate more precise assessment of strategies to amplify trust. Ideally new approaches to enhance trust simultaneously address researchers’ trustworthiness and create more opportunities for colearning.
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            Patient Governance in a Patient-Powered Research Network for Adult Rheumatologic Conditions

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              A Novel Stakeholder Engagement Approach for Patient-centered Outcomes Research

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                Author and article information

                Journal
                Med Care
                Med Care
                MLR
                Medical Care
                Lippincott Williams & Wilkins
                0025-7079
                1537-1948
                October 2018
                13 September 2018
                : 56
                : 10 Suppl 1
                : S1-S3
                Affiliations
                [* ]University of California Davis, Betty Irene Moore School of Nursing, Sacramento, CA
                []Portland VA Healthcare System, Oregon Health & Science University, Portland, OR
                Author notes
                Reprints: Katherine K. Kim, PhD, MPH, MBA, University of California Davis, Betty Irene Moore School of Nursing, 2450 48th Street, Suite 2600, Sacramento, CA 95817. E-mail: kathykim@ 123456ucdavis.edu .
                Article
                00003
                10.1097/MLR.0000000000000958
                6143212
                30074945
                af2908b0-e58d-421b-afba-bb791147b9b1
                Copyright © 2018 The Author(s). Published by Wolters Kluwer Health, Inc.

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc-nd/4.0/

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