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Patient and Public Engagement in Integrated Knowledge Translation Research: Are we there yet?

Research Involvement and Engagement volume 5, Article number: 8 (2019) Cite this article

Plain English summary

There have been many attempts to improve how healthcare services are developed and delivered. Despite this, we know that there are many gaps and differences in practice and that these can lead to poor patient outcomes. In addition, there are also concerns that research is being undertaken that does not reflects the realities or needs of those using healthcare services, and that the use of research findings in practice is slow. As such, shared approaches to research, such as integrated knowledge translation, are being used.

Integrated knowledge translation (IKT) is a research approach that brings together researchers, along with other stakeholders that have knowledge about a particular healthcare issue. Stakeholders may include healthcare providers and policy-makers. More recently, there has been a growing awareness of the need to include patients and members of the public within research processes. These collaborative and patient-oriented research approaches are seen as a way to develop research that tackles ongoing gaps in practice and reflect the insights, needs and priorities of those most affected by health research outcomes. Despite great support, little is known about how these major research approaches are connected, or how they may bring about improvements in the development and use of research evidence. In this paper, we examine how IKT and patient engagement processes are linked, as well as exploring where differences exist. Through this, we highlight opportunities for greater patient engagement in IKT research and to identify areas that need to be understood further.

Abstract

Healthcare organizations across the world are being increasingly challenged to develop and implement services that are evidence-based and bring about improvement in patient and health service outcomes. Despite an increasing emphasis upon evidence-based practice, large variations in practice remain and gaps pervade in the creation and application of knowledge that improves outcomes. More collaborative models of health research have emerged over recent years, including integrated knowledge translation (IKT), whereby partnerships with key knowledge users are developed to enhance the responsiveness and application of the findings. Likewise, the meaningful engagement of patients, in addition to the inclusion of patient-reported outcomes and priorities, has been hailed as another mechanism to improve the relevance, impact and efficiency of research.

Collectively, both IKT and patient engagement processes provide a vehicle to support research that can address health disparities and improve the delivery of effective and responsive healthcare services. However, the evidence to support their impact is limited and while these approaches are inextricably connected through their engagement focus, it is unclear how IKT and patient engagement processes are linked conceptually, theoretically, and practically. In this paper, we will begin to critically examine some of the linkages and tensions that exist between IKT and patient-engagement for research and will examine potential opportunities for IKT researchers as they navigate and enact meaningful partnerships with patients and the public.

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Rapid population ageing, burgeoning rates of chronic disease, and worsening health outcomes are changing the global healthcare landscape [1,2,3]. These key problematic health issues, in concert with escalating healthcare costs and widening health disparities, are driving a renewed focus on the need for evidence-based healthcare services that bring about improvements in health system and patient outcomes [4, 5]. Despite this increasing emphasis, gaps in the creation and timely utilization of evidence in healthcare pervade and large variations in practice remain [6,7,8,9,10]. Over recent decades there has been an increasing recognition of the need for more engaged approaches to health research. The traditional passive models of knowledge creation and transfer are becoming replaced with greater transdisciplinary and inclusive research approaches that have evolved to reflect the complexities of healthcare environments, as well as the needs and preferences of patients and other knowledge users [11,12,13,14]. In Canada, this collaborative approach to research is commonly called Integrated knowledge translation (IKT).

IKT is a collaborative model of research that engages knowledge users, including decision-makers, healthcare providers, policy makers, patients, caregivers and members of the public, as partners for research [15]. Separate from end-of-grant knowledge translation (KT), IKT requires that knowledge users and researchers work collectively across the research process to identify key priorities, develop responsive research questions, interpret findings, and advance the application of research outcomes into practice [16]. While IKT is underpinned by distinct vocabulary, the underpinning principles are common to many other collaborative research approaches, such as engaged scholarship [17,18,19], community-based participatory research [20], and mode 2 research [21], each reflecting a commitment to co-production, mutual decision-making and knowledge exchange [22, 23]. Despite these disciplinary variations, IKT has garnered an increasing international presence over recent decades [21,22,23,24,25].

In concert with a growing emphasis on such integrated approaches, the meaningful engagement of patients and the public has been hailed as a key mechanism to improve the relevance, impact and efficiency of research [26,27,28,29,30,31,32]. This engagement, sometimes referred to as patient and public involvement, service user involvement, or citizen engagement, represents an important cultural shift as evidenced by the integration of major national research frameworks and strategies, including the Canadian Institutes of Health Research (CIHR) Strategy for Patient-Oriented Research (SPOR) [33, 34], National Institute for Health Research (NIHR) INVOLVE in the United Kingdom (UK) [35], and Patient-Centred Outcomes Research Institute (PCORI) in the United States of America [36]. Moreover, the World Health Organization (2006) recognizes the importance of patient and public engagement across all health sectors, including policy and governance [26]. In essence, these initiatives and strategies are underpinned by a common ethos that research should be “carried out ‘with’ or ‘by’ members of the public rather than ‘to’, ‘about’ or ‘for’ them” (p.6) [37] and responds to the movement of ‘nothing without us’ [38, 39] which calls for full participation in decision-making around healthcare, policy and research. Within these international frameworks are varied taxonomies and language, which can give rise to some confusion. In the Canadian SPOR framework, the terms patient engagement and patient-oriented research (POR) are typically used, with ‘patient’ being considered an all-encompassing and inclusive term to include those with lived experience of a health concern, as well as caregivers, family members, friends and members of the public [33, 34]. For clarity, we will use the term patient engagement in this commentary to reflect these varied positions.

Through a rapidly evolving mandate to engage with patients and members of the public in research, there has been a changing discourse around the nature of evidence and a growing desire among patients and the public to contribute to research. This has led to an increased recognition of the need for high quality data that also incorporates the experiential knowledge of those that are impacted by the research [37, 40]. As a concept and practice, McKevitt (2013) argues that patient and public engagement in research has rapidly become “rhetorically and structurally embedded in the field of publicly funded medical research” (p115) [37]. Further, this engagement imperative is seen as a means of promoting greater accountability, authenticity, transparency, and trust in the scientific endeavour, while fostering more democratic and socially responsible practices that challenge traditional academic elitism and privileged knowledge [20, 41,42,43,44].

There has been a recent surge in activities around patient and public engagement and a rapidly growing body of literature. However, there is great variation in how patients are engaged in research and the evidence-base to support its impact is highly fragmented [30, 31]. Furthermore, there is little consensus about how patient engagement is conceptually or theoretically linked to other research approaches and frameworks. The aim of this paper is to begin to explore patient engagement within the context of IKT research. Through this we are able to take a critical look at two dominant approaches in contemporary health research, making explicit how the principles, practices and outcomes of patient engagement and IKT are complementary and where tensions exist. By beginning to understand this further, it is possible that IKT research teams may be better able to develop and undertake research that fosters the meaningful engagement of patients as knowledge users, and further incorporates outcomes of interest to patients and the public. Likewise, delving into these complementary and overlapping processes responds to a current gap in the literature and may fuel the advancement of science for both IKT and patient engagement by identifying areas that require further research.

IKT research: Engaging knowledge users to drive improvements in patient care

Over recent years, a widespread transition in health research has occurred that has resulted in a move away from more traditional knowledge transfer approaches to the introduction of more complex, contextualized, and engaged modes of creating and implementing evidence [12]. This occurred in part due a failure to address ongoing variations in practice, but also as a means of bridging ‘know-do’ gaps to develop effective and efficient evidence-based healthcare services [45,46,47,48]. For example, the creation and integration of evidence to improve clinical outcomes is challenging and recent studies highlight that only 60% of clinical decisions are rooted in an appropriate evidence base, with fewer than half of patients receiving the correct level of care and 25% receiving unnecessary or potentially harmful care [8,9,10]. Also, waste and inefficiencies in health research, along with systems that incentivize quantity and competition as opposed to collaboration and quality, continue to be a significant and costly issue, accounting for over US$200 billion in wasted research revenue in 2010 [49, 50]. Furthermore, there are ongoing concerns about the failure of researchers to develop studies that reflect the ‘real world’ nature of clinical practice, further contributing to lengthy delays in its translation and utilization. Coined as the ‘death valleys’, there is increasing pressure for decision-makers, healthcare providers, patients, and researchers to bridge these ‘know-do’ gaps and develop effective and efficient evidence-based healthcare services [5, 12, 15]. Part of this transition has emerged in response to the increasing awareness that evidence in isolation is not adequate to drive health system change, rather, the broader perspectives of knowledge users, including patients and the public, are needed in order to generate and translate research that is actionable and impactful [22, 51].

In the global context, there are a plethora of concepts, models, theories, and terminology that contribute to this engagement mandate, including engaged scholarship and community-based participatory research [17, 18, 20], each with differing epistemological orientations and disciplinary foundations [22, 51]. In Canada, this shift to more engaged forms of research is seen through an increasing focus upon IKT within major health research funding programs and the growing expectation that researchers will work collaboratively to accelerate knowledge creation and translation to improve health outcomes [52,53,54].

Founded on the principles of knowledge-to-action, IKT fosters meaningful connections and partnerships to optimize the relevance and impact of the research and facilitate its application into practice [25, 45, 55, 56]. Through the IKT process, teams of researchers and knowledge users work collaboratively to engage in research that responds to the contextual, cultural, and social realities of the healthcare setting, mitigate key logistical and translational barriers, and develop outcomes of interest to those delivering and experiencing care [45, 57]. As such, IKT processes transcends common disciplinary boundaries, fostering pleuralistic and responsive research practices within cycles of knowledge creation and practice-oriented action [58, 59]. As Kothari and colleagues (2017) highlight, “this new way of working suggests that the synergies derived from the collaboration will result in better science; more relevant and actionable research findings; increased use of the findings in policy or practice; and mutual learning” (p.299) [25].

Over recent years, there has been an explosion in IKT research, as well as commentaries and syntheses that espouse the potential application and value of this collaborative research approach [25, 56, 59,60,61,62,63,64]. This has included a scoping review examining the use of IKT strategies in healthcare [65], literature examining the impact of research partnerships [14, 66, 67], as well as programmatic evaluations and practice innovations [52, 68]. For example, Harrison et al. (2005) undertook a before-after implementation study examining a community approach to leg ulcer management. As part of this, an interdisciplinary team of decision-makers, healthcare providers, and researchers collaborated to evaluate the existing models of care and introduce a nurse-led community leg ulcer service. Following implementation of this new care model, statistically significant increases in the uptake of guideline-based compression therapy were observed, in addition to improved healing rates and reduced healthcare costs [69]. Overall, teams adopting IKT approaches commonly report that the research resulted in improvements in outcomes and health systems improvement [52].

Despite the growing acceptance of IKT approaches, evidence to support its use is somewhat limited [63]. To date, many of the published studies fail to adequately report on the nature and scope of knowledge user engagement or evaluate its impacts more broadly [64]. Thus, a lack of consistent and distinguishable evaluation processes can make it challenging to assess the magnitude of its impact upon the research process or long-term outcomes. Further, other studies have highlighted that resource and time constraints, along with a lack of attention to power and politics, can be major barriers to undertaking IKT, contributing to a lack of uptake on occasions [24, 70]. Even in the face of these challenges, there is growing investment and support for IKT and engaged forms of research. This is based on the promise of more relevant health research and the ability to bridge different disciplinary and experiential knowledge to improve outcomes [11,12,13,14, 71, 72]. However, while patients, families and members of the public are considered valid knowledge users within the IKT paradigm, these stakeholders are not systematically engaged. Since patient engagement strategies represent a dominant discourse in contemporary health research, there is an opportunity to take a renewed focus on IKT by exploring how and where patients are engaged in IKT and to examine its impact.

Patient engagement in Health Research: A new frontier

Patient engagement activities are centred around the need to meaningfully engage individuals and communities in initiatives to advance healthcare [31]. While the practice of involving patients and members of the public in research is well established across many disciplines [4, 5, 58], the strategic and widespread engagement of patients to guide research, including its focus and outcomes, represents a new frontier in contemporary health research [6, 7]. This is particularly true in Canada, whereby the patient-oriented research initiative is still a relatively recent addition to the health research landscape [33, 34]. Researchers are increasingly expected to systematically engage patients in research, with the purpose of driving the development of studies that reflect the needs and priorities of patients, and to optimize the uptake of the evidence into practice [33]. In response to this, a plethora of strategies and frameworks have emerged as a means of fostering the authentic engagement of patients in research, alongside larger scale initiatives and structures that have influenced the prioritization and funding of research more broadly [34, 36]. In Canada, the CIHR SPOR initiative highlights that researchers must create a ‘strong foundation’ for meaningful patient engagement and facilitate this engagement across the continuum of research, in order to “build a sustainable, accessible and equitable health care system and bring positive changes in the health of people living in Canada” [33] pg. 4).

Early examples of successful engagement can be found within the Human Immunodeficiency Virus (HIV) and arthritis literature [73,74,75,76,77,78], whereby patient activism and agency generated critical influence upon the operationalization of healthcare services and the focus and uptake of research. For example, in the case of rheumatoid and psoriatic arthritis, patient activism has led to a ‘reimagining’ of the healthcare journey among health researchers. Through this, patients have contributed pivotal insights on the wider impacts of their disease, as well participating within broader health services and research priority setting and evaluation [79, 80]. More recently, there has been an expansion in the literature identifying the benefits of patient and public engagement in research, including improvements in the recruitment of participants and the uptake of research findings [81, 82]. For example, Ennis and Wykes (2013) undertook an analysis of 374 studies undertaken as part of the Mental Health Research Network in the UK. In their analysis, levels of involvement, study complexity and recruitment practices were examined across groups of studies. The authors identified that while engagement was varied, teams with higher levels of patient engagement were more likely to have achieved their recruitment targets [81]. Overall, the benefits of combining the experiential insights of patients, along with the empirical and theoretical knowledge of researchers and other knowledge users, has been seen as providing the optimal strategy for improvements in healthcare and research [58, 83,84,85].

The nature and scope of engagement

Numerous models and frameworks exist that seek to conceptualize the patient engagement process [86,87,88]. Within these, there are common principles that speak to the nature of engagement, these include the need for: 1) authentic and sustained engagement across the research continuum and beyond, 2) clarity in the roles and expectations of all parties engaged in the research, 3) mutual trust and respect, 4) commitment to co-learning and co-production, and 5) access to the appropriate resources, supports and training. Likewise, there are a growing number of typologies that seek to delineate the scope of engagement [89,90,91,92,93]. For example, the International Association for Public Participation (IAP2) Patient Participation Spectrum presents a tangible and practical scale through which to conceptualize and evaluate patient engagement in health research [92]. Such typologies highlight the continuum of engagement activities, including the involvement of patient to provide experiential insights, to full collaborative partnerships that foster co-creation and co-production in research, and empowerment and leadership in decision-making. Overall, proponents of patient engagement highlight that these highly inclusive research strategies offer an opportunity to increase the responsiveness and translation of research.

Gaps, uncertainties, and variations

Recent bureaucratic and cultural shifts have seen a driving mandate to foster the engagement of patients and members of the public in health research [94, 95]. Despite a growing body of literature to support patient engagement, gaps, uncertainties, and variations in the reporting and evaluation of engagement activities exist [30, 31, 96] and there are continued calls for more robust evaluation of engagement processes, along with studies that systematically examine its impact [32, 97,98,99,100,101]. For example, Brett and colleagues (2014) undertook a systematic review of 66 papers exploring patient and public participation in research. The analysis of the literature identified that there was a growing evidence to support engagement across the research process, including the conceptualization of the research question and study recruitment practices. However, they identify that the overall evidence-base was weak and more robust studies that explore the impact of patient engagement are urgently needed [30]. Likewise, a systematic review by Mockford et al. (2012) highlighted that while there was growing evidence of health service improvements as a result of the engagement of patients and the public, including contributing to a greater awareness of patient priorities and improved KT, a failure to adequate report the process and nature of engagement, in addition to a lack of measurement of the impact or cost benefits, made it challenging to assess the broader evidence-base [31]. Finally, Domecq and colleagues (2014) undertook a systematic review of patient engagement, identifying that while patient engagement was both feasible and led to potential improvements in recruitment, funding success, and the identification of outcomes, engagement was typically isolated to the early stages of study development, with few studies reporting engagement during the implementation and translation phases of the research process [32]. Similar findings were also found by Concannon et al. (2012) [88] in their systematic review examining stakeholder engagement in comparative effectiveness and patient-centered outcomes research.

Further ambiguities exist relating to the potential contributions of patient engagement. Such obscurity is largely linked to a lack of clarity about engagement processes, fears of tokenism, variations in language, disciplinary norms, and skepticism relating to the potential impact of engagement in light of a limited evidence base [102,103,104]. For instance, concerns and uncertainties relating to patient engagement were raised in a recent study by Carroll et al. (2017) that explored the perspectives of cardiovascular research scientists. Participants in this study indicated uncertainty with respect to how patients are engaged, concerns around the potential knowledge divide between patients and researchers, and apprehension about the increased cost and time required to engage patients, with little promise of return on outcomes and evidence uptake [105]. Likewise, concerns that engagement may be superficial and may fail to capture the perspectives of those most impacted by the research have also been raised [32, 105,106,107,108].

Finally, inconsistencies in the underpinning definitions and reporting of patient engagement activities are contributing to variations in how patient engagement is understood and enacted [103, 109]. This is what Forbat and colleagues term as “conceptual muddling” and is further complicating attempts to measure and evaluate its impact (p. 2553) [91]. For example, in Gallivan et al.’s (2012) mixed methods scope-defining study, stakeholders identified a lack of clarity around the concept of engagement and the associated terminology. Within the 23 articles reviewed as part of this literature review and focus group study, 15 conceptual terms related to patient engagement were identified, including patient involvement and public participation, with few studies specifically using the term patient engagement or delineated the purpose or goal of engagement [103].

Despite the presence of such uncertainties and a fragile evidence base, patient engagement has become widely accepted. Even in light of these gaps, it would be hard to disagree that the engagement of patients represents an important democratic and ethical practice in contemporary health research and provides an opportunity to address some of the complex challenges related to the creation of responsive and actionable healthcare evidence [110]. Further dialogue and inquiry is needed to address these gaps and to examine how patient engagement is enacted and positioned within the context of established research methodologies, practices, and theories. Here, we begin to explore patient engagement within the context of IKT research and seek to identify how these dominant approaches overlap and where opportunities exist to further expand patient engagement in IKT programs and research.

Patient engagement in IKT research: Are we there yet?

Efforts to support the engagement of knowledge users and patients in research represents a relatively new, yet widely acknowledged, mechanism for promoting greater accountability, authenticity, transparency and trust in the scientific endeavor [7, 23, 24, 111]. Furthermore, others have argued that such engagement offers further political gain by fostering more democratic and socially responsible scientific practices, increasing the legitimacy of experiential knowledge, and responding to the ethical and moral imperative that those impacted by the research should have a role in its construction and execution [32, 112]. If researchers are to respond to these growing expectations, as manifested through the proliferation and tailoring of research funding competitions aimed at fostering greater engagement, researchers need to establish robust engagement and partnership practices.

Ongoing gaps in the IKT and patient engagement evidence-base, as well as well documented complexities in undertaking research processes that are both meaningful and impactful, are pervasive. For example, Gagliardi and colleagues (2015) undertook a scoping review of 13 healthcare studies that used and evaluated IKT approaches [65]. The authors highlighted that IKT practices are highly variable and are often poorly reported and evaluated. While not the purpose of this review, we re-examined the captured literature to explore where and how patients or community members were engaged. From this, only three research teams had indicated that patients were engaged within the research [61, 62, 113], of which these were largely those who held a formal role within community organizations, with only one article provided a detailed overview of the nature and scope of the engagement activities [61]. While we recognize that this review is by no means exhaustive and has not have assessed all of the IKT literature available, we argue that the healthcare focus of this scoping review would be positioned to capture research that would be of most concern to patients and would thus warrant the potential engagement of patients as knowledge users. Thus, we contend that opportunities exist to foster the more meaningful and widespread engagement of patients as knowledge users in IKT teams. To further examine the opportunities and tensions that exist for patient engagement within IKT research, we will now explore the related conceptual and theoretical considerations.

IKT and patient engagement: Conceptual and theoretical considerations

While patient engagement may have gained a more “pragmatic accommodation” in health research today (pg. 595) [44], there has been little research that has examined this within the context of existing methodologies and research approaches. Rolfe et al. (2018) contend that despite the abundance of patient engagement frameworks and tools, the examination of patient engagement within the context of existing research methodologies and approaches remains poorly understood and can contribute to practical challenges and ethical dilemmas [114]. Furthermore, as the research around patient engagement is expanding, concerns about a lack of authenticity and tokenism are continuing to emerge [98, 107]. For example, there is an emerging body of literature identifying the importance of patient engagement in the context of clinical trials, although the evaluation of the process and impact of engagement frequently remains unexamined and under-reported [32, 115,116,117]. Bagley et al. (2016) further identifies the fragile balance between fostering patient engagement and input in such designs and the need to safeguard scientific methods and rigor [87]. Consequently, greater attention is needed to explore the conceptual, theoretical, and methodological impacts of such engagement within the context of the wider research process. Here, we examine opportunities for patient engagement as it relates to the purpose, process and outcomes of IKT research.

Purpose

Both IKT and patient engagement comprise activities and strategies that seek to foster engagement across the research process, typically such engagement is undertaken for the purpose of enhancing the relevance, responsiveness, and applicability of the research or healthcare intervention [15]. However, it could be argued that distinct differences and tensions may exist in how these engagement process are understood within the context of IKT research and patient-oriented research more broadly.

The IKT approach was explicitly established to create a platform for the engagement of a broad range of knowledge users, including patients and members of the public. Irrespective of the designs and methods used, research that is underpinned and framed by the IKT approach values the perspectives of those who are impacted by the research, or those that may use the research findings to bring about wider system change [15]. Thus, patients are well positioned to contribute meaningfully within IKT teams.

In IKT research, knowledge users are engaged as partners in the research to provide distinct expertise pertaining to the context and focus of the research. Knowledge users are typically those that have the ability to bring about or influence change and implement the resulting outcomes or recommendations [15]; while researchers are engaged to provide methodological and scientific expertise [25]. In the literature to date, knowledge users that have been engaged in IKT research are most commonly those that provide frontline services, inform policy, or have decision-making authority within a healthcare organization. Thus, few teams engage patients in a systematic way. However, patients, members of the public, and representatives of external organizations and patient advocacy groups may also be engaged as knowledge users to provide critical insights into a given lived experience, as well as promoting broader linkages with a given community. For example, partnerships with patient advocacy groups may be particularly important if the population of interest may experience multiple barriers to engagement, such as children, individuals with rare diseases, or those facing social disadvantage [82].

Within IKT research, the engagement of knowledge users is developed to provide diverse perspectives of a given research problem and to reflect the unique context within which the research takes place. In contrast, some patient-oriented research activities may have a specific agenda that is focused principally upon the analysis and articulation of patient needs, priorities and values [118]. Thus, the focus here shifts away from the broader context of the research, to the purpose of identifying and acting upon patient needs and priorities specifically. However, while attempting to draw upon these differences and similarities, we too recognize that the nature and purpose of engagement within both IKT and patient-oriented research has not been systematically studied and that engagement modes and practices may morph and shift as the research process unfolds. Further research that seeks to delineate and evaluate patient engagement in IKT research may yield more nuanced understandings of these processes.

Partnerships

Partnerships are the bedrock of IKT research and typically evolve organically and strategically with the purpose of driving the focus of the research, augmenting its execution, and fostering widespread uptake in practice. Underpinning these partnerships is the need for researchers and knowledge users to work collectively and synergistically to address a common concern or issue [15, 56]. This approach, however, makes the assumption that all team members have equal ability to influence the research process and foster healthcare change.

Patients may become engaged in research to contribute a unique experience of illness or provide broader insights into the needs and priorities of a patient population, but patients may likely lack substantial decision-making power beyond this. Patient partners can be disadvantaged by a lack of clarity around the language and process of research, as well as being potentially the only unpaid team member within a broader collaboration of professionals and researchers. IKT approaches are conceptually oriented to address these imbalances, through a commitment to co-leadership and co-production, yet modes of practice must be established that seek to move beyond these theoretical positions to generate collaborative decision-making mechanisms to address the common purpose of the research. This should include having a clear understanding of the contribution and expertise of each member, leadership support for collaboration, as well as promoting effective strategies to allow for inclusive research approaches and outcomes [71].

In contrast, patient engagement may be understood as occurring across a wider continuum. For example, the IAP2 Spectrum of Patient Engagement determines the level of engagement that patient may assume within healthcare and research, and further delineates the varied goals and outcomes that may characterize each level [92]. Patient engagement may occur as a means of providing indirect support and may span simply being informed of the research, to being consulted or involved as an external stakeholder. In addition, more direct forms of engagement may occur, where patients may collaborate with a team or become empowered to direct or lead a given component of the research. It is these latter forms of engagement that would be considered most aligned with the epistemological and theoretical position of IKT research (see Table 1). However, IKT and patient engagement are not rigid or static processes and the partnerships that underpin both endeavors can be inherently changeable, complex, and non-linear [70]. Such idealism around partnerships may be tenuous, as IKT researchers often find themselves at the mercy of the ebbs and flows of the healthcare context or needing to respond to rapidly changing personnel and organizational foci [67]. Likewise, teams engaged in patient-oriented research may be similarly reliant upon the ability of patient partners to participate across the research process and may need flexibility to adapt activities in response to a patient partners’ changeable health status or expectations relating to the pace and timing of the research. This may prove challenging in the face of inflexible funding cycles and the requirements for rigid research protocols. Thus, the nature and scope of partnerships may change rapidly across the research process within both IKT and patient-oriented research and may span multiple levels of engagement as a result.

Table 1 Patient engagement and IKT goals and outcomes
Full size table

Representation, diversity and legitimacy

When engaging patients as partners in research, teams must consider their expectations about the varied contribution and perspectives that patients bring. Concerns about representativeness have been raised previously, with the idea that an individual patient may act as an ‘authority figure’ or sole representative of a patient population as being problematic and raising a number of practical and theoretical concerns [32, 105]. However, these concerns are largely unfounded and reflect the dominance of a narrow scientific model through which experiential knowledge is typically devalued or rejected [40]. Thus, teams must work to validate the experiential insights of the patient partner and accept this for its ‘intrinsic value’ [96, 119].

Concerns about diversity within both IKT and patient-oriented research have been raised, and there are calls to establish greater efforts to engage community members that may face multiple and intersecting barriers to engagement [120,121,122,123]. As described by Rolfe and colleagues, there are great divides and variations across most patient populations, particularly with respect to key demographic, cultural, ethnic, and social factors [114]. Furthermore, the notion of who constitutes a patient is varied and ranges from individuals that have personal experience of a health condition, to caregivers, family members, and friends, as well as members of the public and community organizations [33,34,35,36, 84]. A common criticism waged at the patient engagement movement is the potential to engage only the ‘usual suspects’, thus potentially privileging the voices of some, while possibly contributing to the ongoing marginalization of others [32, 70]. Without careful attention to the decision-making around patient engagement, it is possible that participation could be disingenuous and may continue to foster power imbalances. Incorporating an intersectionality lens may provide a means of addressing some of these concerns [108]. In both IKT and patient-oriented research, the purpose and nature of engagement should be identified clearly and steps taken to facilitate an inclusive approach that promotes co-production. For example, Cooke, Langley, Wolstenholme and Hampshaw (2017) highlighted the need to adopt methodologies and approaches that address the power and politics within teams and to incorporate creative activities and techniques to enable effective knowledge exchange and co-production [71]. Further research to examine and evaluate the impacts of power within both IKT and patient-oriented research is urgently needed.

Process

Both IKT and patient engagement practices are founded upon the requirement for authentic and meaningful partnerships and a commitment to co-production [15, 22]. As previously highlighted, knowledge user and researcher relationships may arise in response to a common interest in a given healthcare population or setting. In essence, team members may be already working together or embedded within a specific healthcare system, which in turn positions them well to engage in a process of collaboration and shared decision-making. In contrast, the engagement of patients within an IKT team may not occur as organically, yet it is still intended that this partnership will directly contribute to the overall team process and decision-making. By examining and setting the tone for collective decision-making and participation, researchers can attempt to neutralize power imbalances and promote a more harmonious process of partnership [112,113,114,115,116,117, 119, 120]. This concern is by no way limited to that of patient engagement or IKT research, and discussions around promoting effective engagement have been an enduring topic of debate among many research disciplines, including in anthropology, community-based research approaches, critical feminism, ethnography, and sociology. While these established approaches have a clear epistemological, methodological, and theoretical positioning with respect for power and diversity, this is still emerging in the context of IKT and patient-oriented research.

While many research teams may be considered collaborative in nature, all too often the decision-making may be limited to a smaller group of researchers, particularly during the initial conceptualization stage. One may argue that this may be unavoidable in some circumstances, given current funding structures and models that may prohibit early engagement or may fail to provide the sufficient financial resources needed to sustain effective engagement. Consideration of the time, resources, and supports for such engaged approaches is needed if conditions for meaningful engagement are to be established. Since partnerships take time to develop, there is a need to work collaboratively early in the research process to actively establish mutuality, trust and reciprocity and address potential barriers including language and knowledge barriers, lack of resources and supports, and limited training opportunities [20, 86, 124,125,126,127,128]. Teams may therefore be charged with undertaking sequential and staged funding applications to support these processes, which in turn may potentially contribute to time increases and losses in efficiency.

Outputs

Despite growing enthusiasm, the contributions and successes of patient engagement and IKT research are yet to be fully realized. While evidence to support these modes of research is beginning to emerge [73,74,75,76,77,78,79,80, 116, 129], efforts to systematically evaluate these have not been forthcoming [32, 101, 119]. Further research is needed that captures patterns of working, including the nature, duration and process of partnerships, as well as analyses of cost, resource use, time, and explicit impacts. Since both IKT and patient-oriented research seek to improve the relevance and timely application of research, robust evaluations and analyses of these processes may yield greater clarity in its use, as well as evidence to support or refute the allocated financial and structural investments [101, 118, 130,131,132,133,134,135]. This may further promote greater accountability and transparency in publicly funded research and provide an avenue to foster best practices in engagement.

These evidence deficits represent a significant gap in the contemporary literature and an opportunity exists for IKT researchers to continue to adapt and hone their engagement methods. This in turn may foster more sustained and productive engagement strategies and optimize their application to improve health system and patient outcomes more broadly. A growing number of frameworks, tools and toolkits to evaluate and report patient engagement are emerging in the contemporary literature [132, 136,137,138]. For example, Staniszewska and colleagues (2017) recently developed the revised GRIPP2 checklists, including a shortened version (GRIPP2-SF) oriented to reporting the engagement of patients, and a long form version (GRIPP2-LF) for studies whereby patient engagement and involvement is the principal focus. These international evidence-based guidelines were developed through consensus building methods and aim optimize the reporting of patient and public involvement in research [132]. Given the overlap between IKT and patient engagement, these emerging patient engagement frameworks and tools may provide an opportunity for greater consistency in the evaluation and reporting of IKT partnerships.

Where can we go next?

IKT structures and process are largely synergistic to the strategies promoted through contemporary patient engagement initiatives. As IKT researchers seek to engage patients in a collaboratively and meaningful way, it is essential that teams pay attention to the development and enactment of these partnership and engage in research that allows for the explication and evaluation of the process. First, the IKT scientists and teams can begin to systematically explore the development of these partnerships and how effective working practices are established and experienced. In doing this, teams can work collaboratively to critically evaluate how participation and partnership develop and how this impacts upon decision-making, priority setting, and research outputs. Second, IKT teams should examine how the engagement of patients, and other knowledge users, impacts the focus and mandate of the research and to what extent the inclusion of knowledge users addresses the barriers and enablers to change in the healthcare setting. Third, IKT teams should be cognizant of how patient needs, priorities, and values are communicated and explored within research outputs. Attention to the nature of participation and dialogue around diversity and power will add to our understanding of the potential contributions of IKT and patient engagement. This may include exploring how issues relating to power are addressed and understood within teams. Finally, there is a need to critically examine episodes of discordance, as well as synergy, in the engagement process. This can give rise to a greater understanding of unexpected or unintended impacts. Potential research questions and patient engagement activities for IKT teams across the knowledge-to-action cycles are presented in Tables 2 and 3 respectively.

Table 2 Some research questions for IKT research teams around patient engagement
Full size table
Table 3 Patient engagement across the IKT research process
Full size table

The ongoing development of patient engagement evaluation tools [132, 136,137,138] provides an opportunity to begin to consider a broader strategy for IKT research evaluation. By utilizing research approaches that have the potential to capture the complexities of purpose, process, and outcomes, such as by using hybrid designs or concurrent realist evaluation [139, 140], IKT teams can further contribute to our understanding of how dynamic partnerships between knowledge users (including patients) and researchers are formed and experienced. This in turn may give rise to more precise mechanisms to foster collaboration, enhanced decision-making, and the improved uptake of evidence-based practices in healthcare. By addressing these theoretical tensions, in addition to responding to gaps and variations within the research process, IKT researchers have the potential to further contribute to the science of patient engagement and may further expand contemporary modes of IKT practice.

Conclusion

This paper has begun to explore some of the conceptual and theoretical considerations of patient engagement in IKT research, as well as identifying some of the potential opportunities and tensions that exist when bridging these two dominant approaches. We have argued to support the greater inclusion of patients as knowledge users in IKT as a means of increasing the relevance of research and improving health and patient outcomes. As evidence to support patient engagement and integrated pathways of research is still developing, IKT teams have a unique opportunity to contribute to both the science of IKT and patient engagement and to contribute to the development of best engagement practices. This combination of factors may further yield a greater potential for lasting change and may provide the opportunity for IKT and patient engagement to forge new ways to improve patient and health outcomes. Finally, this paper represents a call for more systematic evaluations of IKT research partnerships, particularly with respect to the ways that teams address diversity and power to foster authentic co-production and how the process contributes to the creation and application of impactful research.

Abbreviations

CIHR:

Canadian Institutes of Health Research

IKT:

Integrated Knowledge Translation

KT:

Knowledge Translation

NIHR:

National Institute for Health Research

PCORI:

Patient-Centred Outcomes Research Institute

SPOR:

Strategy for Patient-Oriented Research

References

  1. 1.

    Vos T, Barber RM, Bell B, Bertozzi-Villa A, Biryukov S, Bolliger I, Duan L. Global, regional, and national incidence, prevalence, and years lived with disability for 301 acute and chronic diseases and injuries in 188 countries, 1990–2013: a systematic analysis for the global burden of disease study 2013. Lancet. 2015;386(9995):743–800.

    Article  Google Scholar 

  2. 2.

    Lozano R, Naghavi M, Foreman K, Lim S, Shibuya K, Aboyans V, Al Mazroa MA. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the global burden of disease study 2010. Lancet. 2012;380(9859):2095–128.

    PubMed  Article  PubMed Central  Google Scholar 

  3. 3.

    Broemeling AM, Watson DE, Prebtani F. Population patterns of chronic health conditions, co-morbidity and healthcare use in Canada: Implications for policy and practice. Healthc Q. 2007;11(3):70–6.

    Article  Google Scholar 

  4. 4.

    Straus SE, Tetroe J, Graham I. Defining knowledge translation. Can Med Assoc J. 2009;181(3–4):165–8.

    Article  Google Scholar 

  5. 5.

    Grol R, Grimshaw J. From best evidence to best practice: effective implementation of change in patients' care. Lancet. 2003;362(9391):1225–30.

    PubMed  Article  PubMed Central  Google Scholar 

  6. 6.

    Kong T, Missouris C, Murdah M, MacGregor G. The use of HMG CoA reductase inhibitors following acute myocardial infarction in hospital practice. Postgrad Med J. 1998;74(876):600–1.

    Article  Google Scholar 

  7. 7.

    Bowen SJ, Graham ID. From knowledge translation to engaged scholarship: promoting research relevance and utilization. Arch Phys Med Rehabil. 2013;94(1):3–8.

    Article  Google Scholar 

  8. 8.

    Logan RL, Scott PJ. Uncertainty in clinical practice: implications for quality and costs of health care. Lancet. 1996;347(9001):595–8.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  9. 9.

    Wennberg JE. Time to tackle unwarranted variations in practice. BMJ. 2011;342.

  10. 10.

    Ramanujam R, Rousseau DM. The challenges are organizational not just clinical. J Organ Behav. 2006;27(7):811–27.

    Article  Google Scholar 

  11. 11.

    Ford L, Kaluzny AD, Sondik E. Diffusion and adoption of state-of-the art therapy. Semin Oncol. 1990;17(4):485–94.

    CAS  PubMed  PubMed Central  Google Scholar 

  12. 12.

    Bero LA, Grilli R, Grimshaw JM, Harvey E, Oxman AD, Thomson MA. Closing the gap between research and practice: an overview of systematic reviews of interventions to promote the implementation of research findings. The Cochrane effective practice and organization of care review group. BMJ. 1998;317(7156):465–8.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  13. 13.

    Nowell L. Pragmatism and integrated knowledge translation: exploring the compatibilities and tensions. Nursing Open. 2015;2(3):141–8.

    PubMed  PubMed Central  Article  Google Scholar 

  14. 14.

    Kothari A, Sibbald SL, Wathen CN. Evaluation of partnerships in a transnational family violence prevention network using an integrated knowledge translation and exchange model: a mixed methods study. Health Res Policy Syst. 2014;12(1):25.

    PubMed  PubMed Central  Article  Google Scholar 

  15. 15.

    Graham ID, Logan J, Harrison MB, Straus SE, Tetroe J, Caswell W, Robinson N. Lost in knowledge translation: time for a map? J Contin Educ Health Prof. 2006;26(1):13–24.

    PubMed  Article  PubMed Central  Google Scholar 

  16. 16.

    Canadian Institutes of Health Research. A guide to knowledge translation at CIHR: Integrated and end of grant approaches. http://www.cihr-irsc.gc.ca/e/45321.html. Accessed 10th Jan 2019.

  17. 17.

    Boyer EL, Moser D, Ream TC, Braxton JM. Scholarship reconsidered: priorities of the professoriate. New York: Wiley; 2015.

    Google Scholar 

  18. 18.

    Van de Ven AH. Engaged scholarship: a guide for organizational and social research. Oxford: Oxford University Press; 2007.

    Google Scholar 

  19. 19.

    Nowotny H, Scott P, Gibbons M, Scott PB. Re-thinking science: knowledge and the public in an age of uncertainty. Cambridge: Polity; 2001.

    Google Scholar 

  20. 20.

    Jagosh J, Bush PL, Salsberg J, Macaulay AC, Greenhalgh T, Wong G, Pluye P. A realist evaluation of community-based participatory research: partnership synergy, trust building and related ripple effects. BMC Public Health. 2015;15(1):725.

    PubMed  PubMed Central  Article  Google Scholar 

  21. 21.

    Greenhalgh T, Weiringa S. Is it time to drop the KT metaphor? A critical literature review. J R Soc Med. 2011;104(12):501–9.

    PubMed  PubMed Central  Article  Google Scholar 

  22. 22.

    Bowen S, Graham ID. Integrated knowledge translation. In: Straus SE, Bowen S, Graham ID, editors. Knowledge translation in health care: moving from evidence to practice. 2nd ed. Chichester: John Wiley; 2013. p. 14–23.

    Google Scholar 

  23. 23.

    Mitton C, Adair CE, McKenzie E, Patten SB, Perry BW. Knowledge transfer and exchange: review and synthesis of the literature. Milbank Q. 2007;85(4):729–68.

    PubMed  PubMed Central  Article  Google Scholar 

  24. 24.

    Rycroft-Malone J, Burton CR, Bucknall T, Graham ID, Hutchinson AM, Stacey D. Collaboration and co-production of knowledge in healthcare: opportunities and challenges. Int J Health Policy Manag. 2016;5(4):221.

    PubMed  PubMed Central  Article  Google Scholar 

  25. 25.

    Kothari A, McCutcheon C, Graham ID. Defining integrated knowledge translation and moving forward: a response to recent commentaries. Int J Health Policy Manag. 2017;6(5):299.

    PubMed  PubMed Central  Article  Google Scholar 

  26. 26.

    World Health Organization. Ninth Futures Forum on health systems governance and public participation. 2006. www.euro.who.int/document/e89766.pdf. Accessed 10 Jan 2019.

  27. 27.

    Canadian Institutes for Health Research. CIHR’s Framework for Citizen Engagement. http://www.cihr-irsc.gc.ca/e/41270.html. Accessed 10 Jan 2019.

  28. 28.

    Venuta R, Graham ID. Involving citizens and patients in health research. J Ambul Care Manag. 2010;33(3):215–22.

    Article  Google Scholar 

  29. 29.

    Oliver S, Armes DG, Gyte G. Public involvement in setting a national research agenda: a mixed methods evaluation. Patient. 2009;2(3):179–90.

    PubMed  Article  Google Scholar 

  30. 30.

    Brett J, Staniszewska S, Mockford C, Herron-Marx S, Hughes J, Tysall C, Suleman R. Mapping the impact of patient and public involvement on health and social care research: a systematic review. Health Expect. 2014;17(5):637–50.

    PubMed  Article  PubMed Central  Google Scholar 

  31. 31.

    Mockford C, Staniszewska S, Griffiths F, Herron-Marx S. The impact of patient and public involvement on UK NHS health care: a systematic review. Int J Qual Health Care. 2012;24(1):28–38.

    PubMed  Article  PubMed Central  Google Scholar 

  32. 32.

    Domecq JP, Prutsky G, Elraiyah T, Wang Z, Nabhan M, Shippee N, Erwin P. Patient engagement in research: a systematic review. BMC Health Serv Res. 2014;14(1):89.

    PubMed  PubMed Central  Article  Google Scholar 

  33. 33.

    Canadian Institutes for Health Research. Strategy for Patient-Oriented Research: Patient Engagement Framework. 2014. http://www.cihr-irsc.gc.ca/e/48413.html Accessed 10 Jan 2019.

  34. 34.

    Canadian Institutes for Health Research. Strategy for Patient-Oriented Research: Improving health outcomes through evidence-informed care. 2011. http://www.cihr-irsc.gc.ca/e/44000.html. Accessed 10 Jan 2019.

  35. 35.

    National Institute for Health Research. Briefing notes for researchers: involving the public in NHS, public health and social care research. 2012. http://www.invo.org.uk/posttypepublication/involve-briefing-notes-for-researchers/.

  36. 36.

    Patient-Centred Outcomes Research Institute. PCORI’s strategic plan. 2013. https://www.pcori.org/sites/default/files/PCORI-Strategic-Plan.pdf. Accessed on 10 Jan 2019.

    Google Scholar 

  37. 37.

    McKevitt C. Experience, knowledge and evidence: a comparison of research relations in health and anthropology. Evidence Policy. 2013;9(1):113–30.

    Article  Google Scholar 

  38. 38.

    Chu LF, Utengen A, Kadry B, Kucharski SE, Campos H, Crockett J, Clauson KA. “Nothing about us without us”—patient partnership in medical conferences. BMJ. 2016;354:i3883.

    PubMed  Article  PubMed Central  Google Scholar 

  39. 39.

    Charlton JI. Nothing about us without us: disability oppression and empowerment. Los Angeles: University of California Press; 1998.

    Google Scholar 

  40. 40.

    Caron-Flinterman JF, Broerse JE, Bunders JF. The experiential knowledge of patients: a new resource for biomedical research? Soc Sci Med. 2005;60(11):2575–84.

    PubMed  Article  PubMed Central  Google Scholar 

  41. 41.

    Boote J, Baird W, Sutton A. Public involvement in the design and conduct of clinical trials: a narrative review of case examples. Trials. 2011;12(1):A82.

    PubMed Central  Article  Google Scholar 

  42. 42.

    Wynne B. Public engagement as a means of restoring public trust in science–hitting the notes, but missing the music? Public Health Genomics. 2006;9(3):211–20.

    Article  Google Scholar 

  43. 43.

    Ward PR, Thompson J, Barber R, Armitage CJ, Boote JD, Cooper CL, Jones GL. Critical perspectives on ‘consumer involvement’ in health research: epistemological dissonance and the know-do gap. J Sociol. 2010;46(1):63–82.

    Article  Google Scholar 

  44. 44.

    Boaz A, Biri D, McKevitt C. Rethinking the relationship between science and society: has there been a shift in attitudes to patient and public involvement and public engagement in science in the United Kingdom? Health Expect. 2016;19(Suppl 3):592–601.

    PubMed  Article  PubMed Central  Google Scholar 

  45. 45.

    Graham ID, Tetroe J. Some theoretical underpinnings of knowledge translation. Acad Emerg Med. 2007;14(11):936–41.

    PubMed  Article  PubMed Central  Google Scholar 

  46. 46.

    Grimshaw JM, Eccles MP, Lavis JN, Hill SJ, Squires JE. Knowledge translation of research findings. Implement Sci. 2012;7(1):50.

    PubMed  PubMed Central  Article  Google Scholar 

  47. 47.

    Harlos K, Tetroe J, Graham ID, Bird M, Robinson N. Mining the management literature for insights into implementing evidence-based change in healthcare. Healthcare Policy. 2012;8(1):33–48.

    PubMed  PubMed Central  Google Scholar 

  48. 48.

    Woolf SH. The meaning of translational research and why it matters. JAMA. 2008;299(2):211–3.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  49. 49.

    Ivers NM, Grimshaw JM. Reducing research waste with implementation laboratories. Lancet. 2016;388(10044):547.

    PubMed  Article  PubMed Central  Google Scholar 

  50. 50.

    Chalmers I, Bracken MB, Djulbegovic B, Garattini S, Grant J, Gulmezoglu MA, Howells DA, Ioannidis JPA, Oliver S. How to increase value and reduce waste when research priorities are set. Lancet. 2014;383(9912):156–65.

    PubMed  Article  PubMed Central  Google Scholar 

  51. 51.

    Fort DG, Herr TM, Shaw PL, Gutzman KE, Starren JB. Mapping the evolving definitions of translational research. J Clin Transl Sci. 2017;1(1):60–6.

    PubMed  PubMed Central  Article  Google Scholar 

  52. 52.

    Canadian Institutes of Health Research. Evaluation of KT funding opportunities. http://www.cihr-irsc.gc.ca/e/47332.html. Accessed on 10 Jan 2019.

  53. 53.

    Denis JL, Lomas J. Convergent evolution: the academic and policy roots of collaborative research. J Health Serv Res Policy. 2003;8(2):2–6.

    Google Scholar 

  54. 54.

    Harrison MB, Graham ID. Roadmap for a participatory research–practice partnership to implement evidence. Worldviews Evid-Based Nurs. 2012;9(4):210–20.

    PubMed  PubMed Central  Article  Google Scholar 

  55. 55.

    Graham ID, Kothari A, McCutcheon C, and on behalf of the Integrated Knowledge Translation Research Network Project Leads. Moving knowledge into action for more effective practice, programmes and policy: Protocol for a research programme on integrated knowledge translation. Implement Sci. 2018;13(1):22.

    PubMed  PubMed Central  Article  Google Scholar 

  56. 56.

    Kothari A, Wathen CN. Integrated knowledge translation: digging deeper, moving forward. J Epidemiol Community Health. 2017;71(6):619–23.

    PubMed  Article  PubMed Central  Google Scholar 

  57. 57.

    Gagliardi AR, Webster F, Brouwers MC, Baxter NN, Finelli A, Gallinger S. How does context influence collaborative decision-making for health services planning, delivery and evaluation? BMC Health Serv Res. 2014;14(1):545.

    PubMed  PubMed Central  Article  Google Scholar 

  58. 58.

    Jull J, Giles A, Graham ID. Community-based participatory research and integrated knowledge translation: advancing the co-creation of knowledge. Implement Sci. 2017;12(1):150.

    PubMed  PubMed Central  Article  Google Scholar 

  59. 59.

    Lapaige V. “Integrated knowledge translation” for globally oriented public health practitioners and scientists: framing together a sustainable transfrontier knowledge translation vision. J Multidiscip Healthc. 2010;3:33.

    PubMed  PubMed Central  Article  Google Scholar 

  60. 60.

    McGrath PJ, Lingley-Pottie P, Emberly DJ, Thurston C, McLean C. Integrated knowledge translation in mental health: family help as an example. J Can Acad Child Adolesc Psychiatry. 2009;18(1):30.

    PubMed  PubMed Central  Google Scholar 

  61. 61.

    Khodyakov D, Sharif MZ, Dixon EL, Mendel P, Chung B, Linkski B, Jones JB. An implementation evaluation of the community engagement and planning intervention in the CPIC depression care improvement trial. Community Ment Health J. 2014;50(3):312–24.

    PubMed  Article  PubMed Central  Google Scholar 

  62. 62.

    Murnaghan D, Laurence C, Munro-Bernard M. (2013). Engaging student voices in discussions on youth health knowledge exchange. In CU Expo: University of Prince Edward Island. https://epress.lib.uts.edu.au/journals/index.php/ijcre/article/view/3400/4695.

  63. 63.

    Kothari A, Wathen CN. A critical second look at integrated knowledge translation. Health Policy. 2013;109(2):187–91.

    PubMed  Article  PubMed Central  Google Scholar 

  64. 64.

    Gagliardi AR, Kothari A, Graham ID. Research agenda for integrated knowledge translation (IKT) in healthcare: what we know and do not yet know. J Epidemiol Community Health. 2017;71(2):105–6.

    PubMed  Article  PubMed Central  Google Scholar 

  65. 65.

    Gagliardi AR, Berta W, Kothari A, Boyko J, Urquhart R. Integrated knowledge translation (IKT) in health care: a scoping review. Implement Sci. 2015;11(1):38.

    Article  Google Scholar 

  66. 66.

    Zwarenstein M, Reeves S. Knowledge translation and interprofessional collaboration: where the rubber of evidence-based care hits the road of teamwork. J Contin Educ Health Prof. 2006;26(1):46–54.

    PubMed  Article  PubMed Central  Google Scholar 

  67. 67.

    Banner D, Janke F, King-Shier K. The importance of collaborative partnerships: making evidence base practice happen in real world contexts. In: Lipscomb M, editor. Exploring evidence-based practice: debates and challenges in nursing. Abingdon: Routledge; 2016. p. 11–28.

    Google Scholar 

  68. 68.

    McLean RK, Graham ID, Bosompra K, Choudhry Y, Coen SE, MacLeod M, Tetroe JM. Understanding the performance and impact of public knowledge translation funding interventions: protocol for an evaluation of Canadian Institutes of Health Research knowledge translation funding programs. Implement Sci. 2012;7(1):57.

    PubMed  PubMed Central  Article  Google Scholar 

  69. 69.

    Harrison MB, Graham ID, Lorimer K, Friedberg E, Pierscianowski T, Brandys T. Leg-ulcer care in the community, before and after implementation of an evidence-based service. Can Med Assoc J. 2005;172(11):1447–52.

    Article  Google Scholar 

  70. 70.

    Gagliardi AR, Dobrow MJ. Identifying the conditions needed for integrated knowledge translation (IKT) in health care organizations: qualitative interviews with researchers and research users. BMC Health Serv Res. 2016;16(1):256.

    PubMed  PubMed Central  Article  Google Scholar 

  71. 71.

    Cooke J, Langley J, Wolstenholme D, Hampshaw S. Seeing" the difference: the importance of visibility and action as a mark of" authenticity" in co-production: comment on" collaboration and co-production of knowledge in healthcare: opportunities and challenges. Int J Health Policy Manag. 2017;6(6):345.

    Article  Google Scholar 

  72. 72.

    Greenhalgh T, Jackson C, Shaw S, Janamian T. Achieving research impact through co-creation in community-based health services: literature review and case study. Milbank Q. 2016;94(2):392–429.

    PubMed  PubMed Central  Article  Google Scholar 

  73. 73.

    Barbot J. How to build an “active” patient? The work of AIDS associations in France. Soc Sci Med. 2006;62(3):538–51.

    PubMed  Article  PubMed Central  Google Scholar 

  74. 74.

    de Wit MPT, Kvien TK, Gossec L. Patient participation as an integral part of patient-reported outcomes development ensures the representation of the patient voice: a case study from the field of rheumatology. RMD Open. 2015;1(1):000129.

    Google Scholar 

  75. 75.

    Kielmann K, Cataldo F. Tracking the rise of the “expert patient” in evolving paradigms of HIV care. AIDS Care. 2010;22(Suppl 1):21–8.

    PubMed  Article  PubMed Central  Google Scholar 

  76. 76.

    Kirwan JR, Newman S, Tugwell PS, Wells GA, Hewlett S, Idzera L, Nicklin J. Progress on incorporating the patient perspective in outcome assessment in rheumatology and the emergence of life impact measures at OMERACT 9. J Rheumatol. 2009;36(9):2071–6.

    PubMed  Article  PubMed Central  Google Scholar 

  77. 77.

    Stamm TA, Nell V, Mathis M, Coenen M, Aletaha D, Cieza A, Machold KP. Concepts important to patients with psoriatic arthritis are not adequately covered by standard measures of functioning. Arthritis Care Res. 2007;57(3):487–94.

    Article  Google Scholar 

  78. 78.

    Cutolo M, Kitas GD, van Riel PL. Burden of disease in treated rheumatoid arthritis patients: going beyond the joint. Semin Arthritis Rheum. 2014;43(4):479–88.

    PubMed  Article  PubMed Central  Google Scholar 

  79. 79.

    Gossec L, Paternotte S, Aanerud GJ, Balanescu A, Boumpas DT, Carmona L, Gogus F. Finalisation and validation of the rheumatoid arthritis impact of disease score, a patient-derived composite measure of impact of rheumatoid arthritis: a EULAR initiative. Ann Rheum Dis. 2011;70(6):935–42.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  80. 80.

    Kirwan JR, Ahlmén M, de Wit M, Heiberg T, Hehir M, Hewlett S, Richards P. Progress since OMERACT 6 on including patient perspective in rheumatoid arthritis outcome assessment. J Rheumatol. 2005;32(11):2246–9.

    PubMed  PubMed Central  Google Scholar 

  81. 81.

    Ennis L, Wykes T. Impact of patient involvement in mental health research: longitudinal study. Br J Psychiatry. 2013;203(5):381–6.

    PubMed  Article  PubMed Central  Google Scholar 

  82. 82.

    Merkel PA, Manion M, Gopal-Srivastava R, Groft S, Jinnah HA, Robertson D, Krischer JP. The partnership of patient advocacy groups and clinical investigators in the rare diseases clinical research network. Orphanet J Rare Dis. 2016;11(1):66.

    PubMed  PubMed Central  Article  Google Scholar 

  83. 83.

    Brett J, Staniszewska S, Mockford C, Herron-Marx S, Hughes J, Tysall C, Suleman R. A systematic review of the impact of patient and public involvement on service users, researchers and communities. The Patient-Patient-Centered Outcomes Research 2014;7(4):387–395.

  84. 84.

    Abelson J, Forest PG, Eyles J, Casebeer A, Mackean G, Effective public consultation project team. Will it make a difference if I show up and share? A citizens' perspective on improving public involvement processes for health system decision-making. J Health Serv Res Policy. 2004;9(4):205–12.

    PubMed  Article  PubMed Central  Google Scholar 

  85. 85.

    Greene J, Hibbard JH. Why does patient activation matter? An examination of the relationships between patient activation and health-related outcomes. J Gen Intern Med. 2012;27(5):520–6.

    PubMed  Article  PubMed Central  Google Scholar 

  86. 86.

    Shippee ND, Domecq Garces JP, Prutsky Lopez GJ, Wang Z, Elraiyah TA, Nabhan M, Brito JP, Boehmer K, Hasan R, Firwana B, Erwin PJ. Patient and service user engagement in research: a systematic review and synthesized framework. Health Expect. 2015;18(5):1151–66.

    PubMed  Article  PubMed Central  Google Scholar 

  87. 87.

    Bagley HJ, Short H, Harman NL, Hickey HR, Gamble CL, Woolfall K, Williamson PR. A patient and public involvement (PPI) toolkit for meaningful and flexible involvement in clinical trials–a work in progress. Res Involvement Engagement. 2016;2(1):15.

    Article  Google Scholar 

  88. 88.

    Concannon TW, Meissner P, Grunbaum JA, McElwee N, Guise JM, Santa J, Leslie LK. A new taxonomy for stakeholder engagement in patient-centered outcomes research. J Gen Intern Med. 2012;27(8):985–91.

    PubMed  PubMed Central  Article  Google Scholar 

  89. 89.

    Arnstein SR. A ladder of citizen participation. J Am Inst Plann. 1969;35(4):216–24.

    Article  Google Scholar 

  90. 90.

    Rowe G, Frewer LJ. A typology of public engagement mechanisms. Sci Technol Human Values. 2005;30(2):251–90.

    Article  Google Scholar 

  91. 91.

    Forbat L, Hubbard G, Kearney N. Patient and public involvement: models and muddles. J Clin Nurs. 2009;18(18):2547–54.

    PubMed  Article  PubMed Central  Google Scholar 

  92. 92.

    International Association for Public Participation. IAP2 Spectrum. http://iap2canada.ca/Resources/Documents/0702-Foundations-Spectrum-MW-rev2%20(1).pdf. Accessed 10 Jan 2019.

  93. 93.

    Carman KL, Dardess P, Maurer M, Sofaer S, Adams K, Bechtel C, Sweeney J. Patient and family engagement: a framework for understanding the elements and developing interventions and policies. Health Aff. 2013;32(2):223–31.

    Article  Google Scholar 

  94. 94.

    Karazivan P, Dumez V, Flora L, Pomey MP, Del Grande C, Ghadiri DP, et al. The patient-as-partner approach in health care: A conceptual framework for a necessary transition. Acad Med. 2015;90(4):437–41.

    PubMed  Article  PubMed Central  Google Scholar 

  95. 95.

    Johnson DS, Bush MT, Brandzel S, Wernli KJ. The patient voice in research—evolution of a role. Res Involvement Engagement. 2016;2(1):6.

    Article  Google Scholar 

  96. 96.

    Staniszewska S, Adebajo A, Barber R, Beresford P, Brady LM, Brett J, et al. Developing the evidence base of patient and public involvement in health and social care research: The case for measuring impact. Int J Consum Stud. 2011;35(6):628–32.

    Article  Google Scholar 

  97. 97.

    Barber R, Beresford P, Boote J, Cooper C, Faulkner A. Evaluating the impact of service user involvement on research: a prospective case study. Int J Consum Stud. 2011;35(6):609–15.

    Article  Google Scholar 

  98. 98.

    Ocloo J, Matthews R. From tokenism to empowerment: progressing patient and public involvement in healthcare improvement. BMJ Qual Saf. 2016;25(8):626–32.

    PubMed  PubMed Central  Article  Google Scholar 

  99. 99.

    Barello S, Graffigna G, Vegni E. Patient engagement as an emerging challenge for healthcare services: mapping the literature. Nursing Res Practice. 2012; https://doi.org/10.1155/2012/905934.

  100. 100.

    Crocker JC, Boylan AM, Bostock J, Locock L. Is it worth it? Patient and public views on the impact of their involvement in health research and its assessment: a UK-based qualitative interview study. Health Expect. 2017;20(3):519–28.

    PubMed  PubMed Central  Article  Google Scholar 

  101. 101.

    Boivin A, Richards T, Forsythe L, Grégoire A, L’Espérance A, Abelson J, Carman KL. Evaluating patient and public involvement in research. Br Med J. 2018;363:k5147.

    Article  Google Scholar 

  102. 102.

    Lough S. Need to define patient engagement in research. CMAJ. 2015;18(12):E385–6.

    Article  Google Scholar 

  103. 103.

    Gallivan J, Kovacs Burns K, Bellows M, Eigenseher C. The many faces of patient engagement. J Participatory Med. 2012;4:e32.

    Google Scholar 

  104. 104.

    Wallerstein N. Commentary: challenges for the field in overcoming disparities through a CBPR approach. Ethn Dis. 2006;16(1):S1.

    Google Scholar 

  105. 105.

    Carroll SL, Embuldeniya G, Abelson J, McGillion M, Berkesse A, Healey JS. Questioning patient engagement: research scientists’ perceptions of the challenges of patient engagement in a cardiovascular research network. Patient Pref Adherence. 2017;11:1573.

    Article  Google Scholar 

  106. 106.

    Minogue V, Girdlestone J. Building capacity for service user and carer involvement in research: the implications and impact of best research for best health. Int J Health Care Qual Assur. 2010;23(4):422–35.

    PubMed  Article  Google Scholar 

  107. 107.

    Bombak AE, Hanson HM. A critical discussion of patient engagement in research. Journal of Patient-Centered Research and Reviews. 2017;4(1):39–41.

    Article  Google Scholar 

  108. 108.

    Shimmin C, Wittmeier KD, Lavoie JG, Wicklund ED, Sibley KM. Moving towards a more inclusive patient and public involvement in health research paradigm: the incorporation of a trauma-informed intersectional analysis. BMC Health Serv Res. 2017;17(1):539.

    PubMed  PubMed Central  Article  Google Scholar 

  109. 109.

    Manafo E, Petermann L, Mason-Lai P, Vandall-Walker V. Patient engagement in Canada: a scoping review of the ‘how’ and ‘what’ of patient engagement in health research. Health Res Policy Syst. 2018;16(1):5.

    PubMed  PubMed Central  Article  Google Scholar 

  110. 110.

    Reimer-Kirkham S, Varcoe C, Browne AJ, Lynam MJ, Khan KB, McDonald H. Critical inquiry and knowledge translation: exploring compatibilities and tensions. Nurs Philos. 2009;10(3):152–66.

    PubMed  PubMed Central  Article  Google Scholar 

  111. 111.

    Holmes BJ, Best A, Davies H, Hunter D, Kelly MP, Marshall M, Rycroft-Malone J. Mobilising knowledge in complex health systems: a call to action. Evidence Policy. 2017;13(3):539–60.

    Article  Google Scholar 

  112. 112.

    Thompson J, Barber R, Ward PR, Boote JD, Cooper CL, Armitage CJ, Jones G. Health researchers’ attitudes towards public involvement in health research. Health Expect. 2009;12(2):209–20.

    PubMed  PubMed Central  Google Scholar 

  113. 113.

    Van Olphen J, Eliason MJ, Freudenberg N, Barnes M. Nowhere to go: How stigma limits the options of female drug users after release from jail. Subst Abuse Treat Prev Policy. 2009;4(1):10.

    PubMed  PubMed Central  Article  Google Scholar 

  114. 114.

    Rolfe DE, Ramsden VR, Banner D, Graham ID. Using qualitative Health Research methods to improve patient and public involvement and engagement in research. Res Involvement Engagement. 2018;4(1):49.

    Article  Google Scholar 

  115. 115.

    Bartlett SJ, Barnes T, McIvor RA. Integrating patients into meaningful real-world research. Ann Am Thorac Soc. 2014;11(Suppl 2):S112–7.

    PubMed  Article  PubMed Central  Google Scholar 

  116. 116.

    Levitan B, Getz KA, Eisenstein EL, Goldberg M, Harker M, Hesterlee SE, et al. Assessing the financial value of patient engagement. Value in Health. 2017;20(5):A33.

    Google Scholar 

  117. 117.

    South A, Hanley B, Gafos M, Cromarty B, Stephens R, Sturgeon K, et al. Models and impact of patient and public involvement in studies carried out by the Medical Research Council Clinical Trials Unit at University College London: Findings from ten case studies. Trials. 2016;17(1):376.

    PubMed  PubMed Central  Article  Google Scholar 

  118. 118.

    Forsythe LP, Ellis LE, Edmundson L, Sabharwal R, Rein A, Konopka K, Frank L. Patient and stakeholder engagement in the PCORI pilot projects: description and lessons learned. J Gen Intern Med. 2016;31(1):13–21.

    PubMed  Article  PubMed Central  Google Scholar 

  119. 119.

    Conklin A, Morris Z, Nolte E. What is the evidence base for public involvement in health-care policy? Results of a systematic scoping review. Health Expect. 2015;18(2):153–65.

    PubMed  Article  PubMed Central  Google Scholar 

  120. 120.

    Israel BA, Schulz AJ, Parker EA, Becker AB. Review of community-based research: assessing partnership approaches to improve public health. Annu Rev Public Health. 1998;19(1):173–202.

    CAS  PubMed  Article  PubMed Central  Google Scholar 

  121. 121.

    Fleming MD, Shim JK, Yen IH, Thompson-Lastad A, Rubin S, Van Natta M, Burke NJ. Patient engagement at the margins: health care providers' assessments of engagement and the structural determinants of health in the safety-net. Soc Sci Med. 2017;183:11–8.

    PubMed  PubMed Central  Article  Google Scholar 

  122. 122.

    Muhammad M, Wallerstein N, Sussman AL, Avila M, Belone L, Duran B. Reflections on researcher identity and power: the impact of positionality on community based participatory research (CBPR) processes and outcomes. Crit Sociol. 2015;41(7–8):1045–63.

    Article  Google Scholar 

  123. 123.

    Abelson J. Patient engagement in health technology assessment: what constitutes ‘meaningful’ and how we might get there. J Health Serv Res Policy. 2018;23(2):69–71.

    PubMed  Article  PubMed Central  Google Scholar 

  124. 124.

    Kauffman KS, Dosreis S, Ross M, Barnet B, Onukwugha E, Mullins CD. Engaging hard-to-reach patients in patient-centered outcomes research. J Comp Eff Res. 2013;2(3):313–24.

    PubMed  Article  PubMed Central  Google Scholar 

  125. 125.

    Marlett N, Shklarov S, Marshall D, Santana MJ, Wasylak T. Building new roles and relationships in research: a model of patient engagement research. Qual Life Res. 2015;24(5):1057–67.

    PubMed  Article  PubMed Central  Google Scholar 

  126. 126.

    Entwistle VA, Renfrew MJ, Yearley S, Forrester J, Lamont T. Lay perspectives: advantages for health research. BMJ. 1998;316(7129):463.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  127. 127.

    Snape D, Kirkham J, Britten N, Froggatt K, Gradinger F, Lobban F, Jacoby A. Exploring perceived barriers, drivers, impacts and the need for evaluation of public involvement in health and social care research: a modified Delphi study. BMJ Open. 2014;4(6):e004943.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  128. 128.

    Hearld KR, Hearld LR, Hall AG. Engaging patients as partners in research: factors associated with awareness, interest, and engagement as research partners. SAGE Open Medicine. 2017;5:2050312116686709.

    PubMed  PubMed Central  Article  Google Scholar 

  129. 129.

    Evans D, Coad J, Cottrell K, Dalrymple J, Davies R, Donald C, Pollard K. Public involvement in research: Assessing impact through a realist evaluation. 2014. https://doi.org/10.3310/hsdr02360.

  130. 130.

    Margaret L, Hayward B, Hayward P, Walsh C. Increasing patient engagement in healthcare service design: a qualitative evaluation of a co-design programme in New Zealand. Patient Experience Journal. 2017;4(1):23–32.

    Google Scholar 

  131. 131.

    Kirwan JR, de Wit M, Frank L, Haywood KL, Salek S, Brace-McDonnell S, et al. Emerging guidelines for patient engagement in research. Value Health. 2017, 20(Suppl 3):481–6.

  132. 132.

    Staniszewska S, Brett J, Simera I, Seers K, Mockford C, Goodlad S, et al. GRIPP2 reporting checklists: Tools to improve reporting of patient and public involvement in research. Res Involv Engagem. 2017;3(1):13.

    CAS  PubMed  PubMed Central  Article  Google Scholar 

  133. 133.

    Barber R, Boote JD, Parry GD, Cooper CL, Yeeles P, Cook S. Can the impact of public involvement on research be evaluated? A mixed methods study. Health Expect. 2012;15(3):229–41.

    PubMed  Article  PubMed Central  Google Scholar 

  134. 134.

    Haywood K, Brett J, Salek S, Marlett N, Penman C, Shklarov S, et al. Patient and public engagement in health-related quality of life and patient-reported outcomes research: What is important and why should we care? Findings from the first ISOQOL patient engagement symposium. Qual Life Res. 2015;24(5):1069–76.

    PubMed  Article  PubMed Central  Google Scholar 

  135. 135.

    Boote J, Telford R, Cooper C. Consumer involvement in health research: a review and research agenda. Health Policy. 2002;61(2):213–36.

    PubMed  Article  PubMed Central  Google Scholar 

  136. 136.

    Oliver SR, Rees RW, Clarke-Jones L, Milne R, Oakley AR, Gabbay J, et al. A multidimensional conceptual framework for analysing public involvement in health services research. Health Expect. 2008;11(1):72–84.

    PubMed  PubMed Central  Article  Google Scholar 

  137. 137.

    Hamilton CB, Hoens AM, Backman CL, McKinnon AM, McQuitty S, English K, Li LC. An empirically based conceptual framework for fostering meaningful patient engagement in research. Health Expect. 2018;21(1):396–406.

    PubMed  Article  PubMed Central  Google Scholar 

  138. 138.

    Centre of Excellence on Partnerships with Patients and the Public. Patient and public engagement evaluation toolkit. https://ceppp.ca/en/our-projects/evaluation-toolkit/#care. Accessed 01 December 2018.

  139. 139.

    Curran GM, Bauer M, Mittman B, Pyne JM, Stetler C. Effectiveness-implementation hybrid designs: combining elements of clinical effectiveness and implementation research to enhance public health impact. Med Care. 2012;50(3):217.

    PubMed  PubMed Central  Article  Google Scholar 

  140. 140.

    Pawson R. Evidence-based policy: a realist perspective. London: Sage; 2006.

    Google Scholar 

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Acknowledgements

Thank you to our patient partner and co-author Mr. Marc Bains who has been so integral to this work. We thank you for sharing your insights, supporting our quest for meaningful patient engagement, and for being such a fierce advocate for patients with heart failure across Canada.

Funding

This paper was commissioned by the Integrated Knowledge Translation Network (IKTRN). The IKTRN brings together knowledge users and researchers to advance the science and practice of IKT and train the next generation of IKT researchers. Honorariums were provided for completed papers. The IKTRN is funded by a Canadian Institutes of Health Research Foundation Grant (FDN #143247).

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Affiliations

  1. School of Nursing, University of Northern British Columbia, 3333 University Way, Prince George, V2N4Z9, Canada

    Davina Banner & Damanpreet K Kandola

  2. Ottawa Hospital Research Institute, Ottawa, Canada

    Davina Banner

  3. HeartLife Foundation, Vancouver, Canada

    Marc Bains

  4. School of Nursing, Faculty of Health Sciences, McMaster University and Associate Scientist, the Population Health Research Institute, Hamilton, Canada

    Sandra Carroll

  5. School of Health Sciences, University of Northern British Columbia, Prince George, Canada

    Damanpreet K Kandola

  6. School of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada

    Danielle E Rolfe

  7. Centre of Excellence in Partnership with Patients and the Public, Montreal, Canada

    Caroline Wong

  8. School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa and Centre for Practice Changing Research, Ottawa Hospital Research Institute, Ottawa, Canada

    Ian D. Graham

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  1. Davina Banner
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  2. Marc Bains
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  3. Sandra Carroll
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  4. Damanpreet K Kandola
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  5. Danielle E Rolfe
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  6. Caroline Wong
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  7. Ian D. Graham
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Contributions

All authors have contributed to the conceptualization and development of the manuscript. DB drafted the manuscript and all authors read and approved the final manuscript.

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Correspondence to Davina Banner.

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Banner, D., Bains, M., Carroll, S. et al. Patient and Public Engagement in Integrated Knowledge Translation Research: Are we there yet?. Res Involv Engagem 5, 8 (2019). https://doi.org/10.1186/s40900-019-0139-1

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Keywords

  • Integrated knowledge translation
  • Knowledge translation
  • Patient and public engagement
  • Patient-oriented research
  • Partnerships

Research Involvement and Engagement

ISSN: 2056-7529

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