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Published on 04.08.20 in Vol 22, No 8 (2020): August

Preprints (earlier versions) of this paper are available at http://preprints.jmir.org/preprint/16441, first published Sep 30, 2019.

This paper is in the following e-collection/theme issue:

    Original Paper

    Landscape of Participant-Centric Initiatives for Medical Research in the United States, the United Kingdom, and Japan: Scoping Review

    1Department of Biomedical Ethics and Public Policy, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan

    2Graduate School of Human Sciences, Osaka University, Suita, Osaka, Japan

    3Centre for Health, Law and Emerging Technologies, Faculty of Law, University of Oxford, Oxford, United Kingdom

    4Centre for Health, Law and Emerging Technologies, Melbourne Law School, University of Melbourne, Melbourne, Australia

    Corresponding Author:

    Kazuto Kato, PhD

    Department of Biomedical Ethics and Public Policy

    Graduate School of Medicine

    Osaka University

    2-2 Yamadaoka

    Suita, Osaka, 5650871

    Japan

    Phone: 81 6 6879 3687

    Email: kato@eth.med.osaka-u.ac.jp


    ABSTRACT

    Background: Information and communication technology (ICT) has made remarkable progress in recent years and is being increasingly applied to medical research. This technology has the potential to facilitate the active involvement of research participants. Digital platforms that enable participants to be involved in the research process are called participant-centric initiatives (PCIs). Several PCIs have been reported in the literature, but no scoping reviews have been carried out. Moreover, detailed methods and features to aid in developing a clear definition of PCIs have not been sufficiently elucidated to date.

    Objective: The objective of this scoping review is to describe the recent trends in, and features of, PCIs across the United States, the United Kingdom, and Japan.

    Methods: We applied a methodology suggested by Levac et al to conduct this scoping review. We searched electronic databases—MEDLINE (Medical Literature Analysis and Retrieval System Online), Embase (Excerpta Medica Database), CINAHL (Cumulative Index of Nursing and Allied Health Literature), PsycINFO, and Ichushi-Web—and sources of grey literature, as well as internet search engines—Google and Bing. We hand-searched through key journals and reference lists of the relevant articles. Medical research using ICT was eligible for inclusion if there was a description of the active involvement of the participants.

    Results: Ultimately, 21 PCIs were identified that have implemented practical methods and modes of various communication activities, such as patient forums and use of social media, in the field of medical research. Various methods of decision making that enable participants to become involved in setting the agenda were also evident.

    Conclusions: This scoping review is the first study to analyze the detailed features of PCIs and how they are being implemented. By clarifying the modes and methods of various forms of communication and decision making with patients, this review contributes to a better understanding of patient-centric involvement, which can be facilitated by PCIs.

    International Registered Report Identifier (IRRID): RR2-10.2196/resprot.7407

    J Med Internet Res 2020;22(8):e16441

    doi:10.2196/16441

    KEYWORDS



    Introduction

    The use of information and communication technology (ICT) is increasing in all aspects of health care delivery and medical research, enabling vast amounts of data to be accumulated and analyzed at an unprecedented rate. Furthermore, a growing number of people are participating in research using smart devices, such as smartphones, tablets, and wearable devices [1]. Participation in medical research using ICT is expected to increase in the future. At the same time, patient-reported outcomes, where the patient reports directly on his or her condition, such as pain, fatigue, and quality of life, are recognized as important for both clinical and research settings [2,3]. This new trend in medicine also facilitates the use of ICT in the medical research fields.

    In parallel, attitudes toward medical research are also shifting to more active involvement of research participants. This emerging model of research, in which researchers and participants collaborate through the research process, is gaining momentum internationally. Several research funders, such as INVOLVE in the United Kingdom, which was established by the National Institute for Health Research (NIHR) to support public involvement in the National Health Service (NHS), and the Patient-Centered Outcomes Research Institute (PCORI) in the United States, are known as leading organizations promoting the involvement of research participants [4].

    The definition of patient and public involvement and engagement has not yet been established. There is no designated terminology to describe the active involvement of participants in research. According to INVOLVE, involvement is defined as “research that is being carried out ‘with’ or ‘by’ members of the public, rather than ‘to,’ ‘about,’ or ‘for’ them,” while engagement indicates “information and knowledge about research is provided and disseminated” [5]. On the other hand, PCORI in the United States uses the term engagement in the following way: “The meaningful involvement of patients, caregivers, clinicians, and other healthcare stakeholders throughout the entire research process” [6]. Another example of the fluidity of the terminology can be seen in a consensus statement on patient and public involvement with data-intensive health research, which was developed by an international group of experts; they use the term public involvement and engagement [7]. While the terminology may change, a shared sentiment in all these documents is that they define patients or the public as experts in their personal knowledge and experiences. Collaborating with patients and the public is expected to improve research quality and relevance, ensure transparency and accountability, and foster innovation and research [5-9].

    In this review, we use the definition from INVOLVE [5], where involve or involvement refers to a status where participants play an active role in medical research, beyond the level of simply being a participant to take part in research or inputting their data [10]. For instance, we hoped to find examples where participants collaborate with researchers and have influence over research design, analysis, management, and/or dissemination. While recognizing the diversity of approaches to involvement, here, we are not including activities such as the raising of awareness of research by patients or the creation of events, such as workshops and festivals to engage with the public [11].

    Participant-centric initiatives (PCIs) are new initiatives that employ ICT for facilitating active involvement in research and are defined as “digital tools, platforms, or projects that have been developed to help participants become more actively involved in the research process” [12]. PCIs have the potential to provide a number of benefits to both participants and researchers, including facilitating participant recruitment and retention, providing the basis for long-term partnerships, and sustaining public confidence in research [13]. In addition to this, the interactive interface facilitates communication between research participants and researchers throughout the research process and allows participants to be placed at the center of the decision-making process [13]. Furthermore, it is believed that PCIs can address issues toward protecting individual interests by mediating participants’ control and choice within diverse research contexts [12].

    While examples and features of PCIs have been reported by Anderson et al [12] and Kaye et al [13], in 2012, the definition of PCIs and methods of involvement that are promoted through PCIs had not yet been established. Moreover, the status and characteristics of PCIs since they were first outlined in these papers have not been reported. We believed that it was important to capture the current landscape of PCIs and describe detailed characteristics and methods of participant involvement.

    By applying a scoping review methodology, we examined PCIs that have been implemented in the United States, the United Kingdom, and Japan, and we systematically analyze their detailed functions and features. The reason for selecting these countries for the study was that the United States and the United Kingdom have been actively advancing patient-centric approaches in medical research, and the majority of reported PCIs in previous research was located in these two countries [12,13]. Our aim was to build on the existing research by updating the PCI landscape for the United Kingdom and the United States and by further contributing to the literature by adding Japan. Japan is a leading country in health research and practice, and we were well positioned to access the literature. While a traditional model of medical research remains pervasive in Japan [14], there is a clear shift toward exploring or prioritizing patient and public involvement, as seen in recent statements made by the Japan Agency for Medical Research and Development, a major medical funding agency [15]. Given this new focus, it was timely to search and explore the current landscape of PCIs available in Japan. We felt that focusing our attention on these three countries would make an important contribution to the literature on PCIs.

    Therefore, the aims of this study were (1) to identify existing PCIs used for medical research in the United States, the United Kingdom, and Japan, (2) to describe recent trends and features of PCIs, and (3) to highlight the methods of participant involvement facilitated by PCIs.


    Methods

    Overview

    The methodology followed here is based on the previously published study protocol [16]. The scoping review was considered the most appropriate method to address the aims of the study for the following reasons. Firstly, the scoping review is recommended, as it is particularly relevant to disciplines with emerging evidence [17]. Unlike a systematic review, we are not trying to answer a specific question, but rather “examine the extent, range, and nature” of PCIs [18]. Secondly, a scoping review provides comprehensive search methods to incorporate a range of study designs in both published and grey literature. The scoping review methodological framework described by Levac et al [17] was applied to this study.

    Identifying the Research Question

    According to the features of PCIs described by Anderson et al [12], it is not necessary to designate the field of research upfront, but we decided to limit our study to PCIs generating data for medical research. In addition, citizen science, which we define here as a research activity directed and conducted by citizens without collaboration with researchers, was considered beyond our remit [19]; therefore, we focused on interaction between participants and researchers using PCIs.

    In this study, medical research refers to any research involving human subjects aimed at improving clinical outcomes, including prevention; understanding the etiology of diseases and/or effect of treatments; and improving the quality of life of patients.

    Identifying Relevant Studies

    We first conducted a literature search in June 2017 in the following databases: MEDLINE (Medical Literature Analysis and Retrieval System Online), Embase (Excerpta Medica Database), CINAHL (Cumulative Index of Nursing and Allied Health Literature), PsycINFO, and Ichushi-Web. We conducted our search by using subject headings and keywords. Search terms included a combination of keywords and subject headings such as Medical Subject Headings (MeSH). Keywords were comprised of the following terms: “participant” AND “centric” OR “centered” OR “centred” OR “engage” OR “involve” OR “collaborat” OR “partner” OR “led” OR “driven” OR “initiat” OR “oriented.” Subject headings for “participation,” “technology,” and “research” were searched and adjusted to best meet the requirements of each database. The detailed search strategies and history are shown in Multimedia Appendix 1. A subject librarian was consulted and provided guidance on the search strategy. We also conducted a cited literature search using the Web of Science and by hand-searching of key journals—Digital Health and The Journal of mHealth—in August 2017.

    A grey literature search was also conducted using Open Grey in December 2017, and a website search was conducted using Google and Bing from April to June 2018. The grey literature and website searches were conducted by using the same search keywords as in the literature database search. Some searches showed a large number of items, for example, more than 100,000 hits. However, as it was practically challenging to identify relevant websites by screening all items, we took a pragmatic approach and screened websites that had appeared within the first 50 results for each keyword.

    Study Selection

    The relevant articles and websites were screened based on the inclusion criteria described in Textbox 1. These criteria were formulated based on the description of the PCIs [12,13], and some criteria were added by the research team in the process of screening. The articles obtained by the database search were screened by two independent reviewers (NH and RN), and PCIs were identified from this process. The items identified from the grey literature and website searches were screened by NH, and the selection was confirmed by the research team after several rounds of discussion on the screening results.


    Textbox 1. Selection criteria for relevant articles and websites.
    View this box

    Data Extraction

    The features of PCIs were extracted and mapped from the relevant articles and information on the websites of each PCI. The data extraction was completed by NH, and the preliminary results were reviewed by research study members to ensure validity. Characteristics to extract included the following: characteristics of PCI websites, type of medical research, and method of involvement. The list of data elements that were extracted are shown in Multimedia Appendix 2.

    Collating, Summarizing, and Reporting the Results

    The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) flowchart template [20] was applied to report on the search process. The key characteristics of the included PCIs were summarized in results tables and charts. The key findings were described in a summary report before disseminating to expert panel members.

    Consultation With Expert Panel

    A consultation is recommended as an optional stage in conducting a scoping review [17]. We carried out a consultation in January 2019 with a small number of experts to receive feedback about the obtained results, including additional information and perspectives. Using our research network, the expert panel included four researchers and a patient representative with expertise in patient and public involvement, health care and digital technologies, and clinical cohort studies from the United States, the United Kingdom, Australia, and Japan.


    Results

    Identifying Relevant Studies and Study Selection

    The search results and screening process are shown in Figure 1. The screening process can be divided into two flowcharts: the database search and the grey literature search.

    In the database search, 10 relevant articles [1,12,13,21-27] remained after the title, abstract, and full-text screening, and the descriptions of 13 potential PCIs were found in those papers. Within these 13 potential PCIs, 3 had been implemented in nontargeted countries (ie, Italy, the Netherlands, and Iceland), and 3 websites were not accessible, possibly due to the termination of the projects. Only 1 website focused on releasing personal genetic data openly to the public; we considered this beyond the inclusion criteria of this scoping review because all participants were scientists, and they were not aiming at collaborating with patients or citizens. As a result, 6 PCIs satisfying the inclusion criteria were identified in the database search.

    The grey literature and website searches were conducted in an iterative process reflecting the results of the database search that had been performed earlier. In total, 3622 documents and websites were screened, but none described the implementation of PCIs for medical research. However, 16 additional PCIs were identified by a supplementary search of 2 excluded articles [28,29] from the database search. Both articles were related to the PCORI. Another 2 potential PCIs were discovered while searching for information on other PCIs that had been found in the database search. In total, 16 PCIs were identified in the website search. After removing duplicates, 21 PCIs [30-50] were ultimately identified in the obtained results (see Table 1). The detailed characteristics of these 21 PCIs are also shown in Multimedia Appendix 3.

    Figure 1. Flowchart for study selection. MEDLINE: Medical Literature Analysis and Retrieval System Online; Embase: Excerpta Medica Database; CINAHL: Cumulative Index of Nursing and Allied Health Literature; PCI: participant-centric initiative.
    View this figure
    Table 1. Participant-centric initiatives (PCIs) identified by our scoping review.
    View this table

    Difficulties in Searching for Relevant Studies

    During the database search, it became clear that there were no designated subject headings to describe features of the PCIs within this emerging field; for instance, the existing MeSH do not have terms to include “participant-centric,” “engagement,” or “involvement”; alternatively, “patient participation” was suggested as the only MeSH option. The subject heading is typically used as an effective search tool in a database search. In this case, however, we had to combine keywords to search for articles relevant to PCIs. The lack of effective search terms may reflect the novelty of the field. For the same reason, the results of grey literature and website searches using Google and Bing were also limited.

    Many of the documents that were excluded in the screening process were related to patients’ decision making or participation in clinical practice or medical interventions, including test screening, rather than medical research. Another major category of excluded items concerned the digitization of research and health care with the aim of developing tools for services, with no description of the involvement of participants.

    Results of the Expert Panel

    After the consultation, all members of the expert panel commented on the obtained results. Overall, they considered the results “important and well worthy of publication” and the search strategy as “sensible.” In addition, the experts gave feedback on the analysis and discussion sections of the paper. The feedback was incorporated into our analysis of results and the discussion.

    There were also suggestions on potential PCIs we had not identified through the literature search. A total of 5 potential platforms were suggested by two members of the panel—one from Japan and one from the United Kingdom. Moreover, one member suggested that disease registries were underrepresented in the obtained results. The main reasons that we did not pick up these registries with our literature search is that any scientific papers generated by them appeared after our cutoff point or they did not indicate active involvement of patients in existing papers.

    In response, we screened the registries listed on the National Institutes of Health (NIH) website. A total of 62 registries were screened by NH and AK. As a result, we identified 5 PCIs in the United States and Japan, which had not come out in our original literature search. Moreover, an anonymous reviewer suggested an additional PCI during the peer-review process. As we had decided that the results of the literature searches would be our endpoint for this study, these additional PCIs are offered here as supplementary data (see Multimedia Appendix 4). It is noteworthy, however, that the features of these PCIs do not change the overall landscape we describe as the main endpoint of the study.

    Recent Trends in PCIs

    PCIs have been implemented for research focusing on various diseases, including rare diseases, mood disorders, heart diseases, and dementia. Of the 21 kinds of PCIs identified in this scoping review, 4 (19%)—23andMe, PatientsLikeMe, PEER (Promise for Engaging Everyone Responsibly), and GenomeConnect—had features that included a variety of disease areas and had cross-cutting registry functions ranging from dozens to thousands of diseases. One of them was a direct-to-consumer genetic testing company (ie, 23andMe). In these PCIs, multiple kinds of medical research were being conducted. Furthermore, these 4 PCIs aimed to match the genomic information of research participants with their disease phenotype. On the contrary, the main registration objectives of the other 17 PCIs for medical research concerned specific disease areas; some of them had gradually expanded their disease areas of focus, such as RUDY (Rare and Undiagnosed Diseases Study) and V-PPRN (Vasculitis Patient-Powered Research Network).

    Examining the year in which each PCI was established, our results show a dramatic upward trend from 2013 onwards (see Figure 2).

    Figure 2. The trend in the number of participant-centric initiatives (PCIs) identified in the scoping review, cumulative total by year. NB: For 2 PCIs, the launch year was unknown.
    View this figure

    Medical Research Facilitated by PCIs

    The medical research conducted using digital tools, such as personal computers and smartphones, had one or both of the following purposes:

    1. Understanding the symptoms: changes in the presentation of symptoms over time, genetic information and disease phenotype matching, daily changes of conditions, and health conditions associated with everyday life, including exercise and diet.
    2. Comparison of treatment effectiveness: a case-control study comparing the effects of interventions, such as comparing medication records with symptoms or the impact of an online exercise class.

    We found that at least 277 articles had already been published by several PCI research groups by January 2018, including some in major scientific journals [33-36,40,50-52]. Among them, PatientsLikeMe and 23andMe are promoting research covering various disease areas and have published more than 100 papers [51,52]. All PCIs were used to facilitate participation in substudies or provide opportunities to join upcoming research.

    Table 2 shows the specific data collected by each PCI. Overall, the majority of PCIs had analyzed questionnaires on symptoms and quality of life. Functions to upload the results of DNA testing and electronic health record data were also implemented in 7 PCIs, corresponding to one-third of the total. Other functions included tracking personal data, such as body temperature, blood pressure, and weight. A total of 3 PCIs had an interface to collect data using new functions on smartphones and wearable devices, such as those relating to movement and voice.

    Table 2. Types of data collected by participant-centric initiatives (PCIs).
    View this table

    Model of Informed Consent

    Table 3 shows the result of consent models that were indicated on each of the websites. A specific consent model—a participant’s consent is requested each time they participate in a new study—was used for approximately half the PCIs (12/21, 57%). On the contrary, a broad consent model was used in 1 PCI (5%) that was developed by a for-profit organization (ie, PatientsLikeMe).

    In total, 3 PCIs out of 21 (14%)—PEER, RUDY, and J-RARE—implemented a dynamic consent model. Dynamic consent is a new model that enables participants to change their consent status over time online [53]. Furthermore, participants can also select the range of data sharing and methods of communication. There were 5 PCIs out of 21 (24%) where the consent process was unclear.

    Table 3. Model of consent implemented in participant-centric initiatives (PCIs).
    View this table

    Various Communication Activities

    By examining the activities undertaken by the 21 PCIs, it became clear that various modes of communication had been used, including patient forums, webinars, and dialogue (ie, patients and researchers exchanging messages online) (see Table 4). Moreover, a majority of the PCIs had used multiple social media accounts. Some PCIs had disseminated information through blogs and newsletters. Others had their own digital interface that allowed participants to take part in networking with researchers and other participants. Out of 21 PCIs, 2 (10%) had been conducting face-to-face forums or seminars.

    Table 4. Modes and methods of communication for the participant-centric initiatives (PCIs).
    View this table

    Participant Decision Making in Various Research Processes

    It became clear that there were various phases in decision making by research participants. First, the 3 PCIs that implemented the dynamic consent model allowed each participant to control the range of data sharing. Most PCIs used an interface that enabled inputs of participant feedback on research and operations or agenda setting by allowing participants to propose new research questions. Furthermore, more than half the PCIs (14/21, 67%) had a governance structure that included participant representatives in the decision-making process of the research design and conduct of the research (see Table 5).

    Table 5. Decision-making process implemented in participant-centric initiatives (PCIs).
    View this table

    Discussion

    Principal Findings

    In this study, we conducted a scoping review to capture the recent trend and features of PCIs for medical research, in particular, by focusing on active involvement. A total of 21 PCIs were identified by the scoping review. After analyzing the detailed functions and characteristics of each, the landscape of PCIs became clearer. To our knowledge, this is the first scoping review conducted in this emerging area to map the extent and range of PCIs currently available across the United States, the United Kingdom, and Japan.

    Recent Trends in PCIs

    The PCIs identified in this study were utilized in medical research in various fields. The number of participants registered for each PCI ranged from approximately 50 to 100,000 (see Table 1). Moreover, it was revealed that there are two types of PCIs in terms of target population and research purpose. A total of 4 PCIs targeted dozens or more diseases, aimed at understanding the relationship between genomic information and clinical phenotype. On the contrary, the other 17 PCIs targeted specific disease areas with the aim of deepening clinical understanding of the symptoms. In addition, PCIs connect participants and researchers with opportunities to join in different medical research studies. Regarding the significant number of participants and the broad targets of research, it is evident that ICT interfaces provide effective ways to promote research without the limitations of conducting research in real time and geographic area.

    Another noteworthy trend was the sharp increase in the number of PCIs after 2013. The reasons for the increase may be improvements in technology and greater understanding of the benefits of using digital technologies in health care, as well as an increasing awareness of the importance of engaging with patients. As 12 of the 21 PCIs (57%) were funded by PCORI in the United States, the trend may also have been influenced by the year of its establishment. PCORI was established in 2010 with the aim of funding comparative clinical effectiveness research for patients and those who care for them to make better-informed health decisions [54]. Moreover, PCORI promotes patient engagement to ensure that results are relevant and useful to stakeholders [55,56]. Meanwhile, various factors, such as an increased research focus on patient-reported outcomes [57] and more medical research using smartphones and wearable devices [58], are also thought to be related to this recent trend in PCIs.

    There are at least 270 scientific papers published that used data collected by PCIs. Out of 21 PCIs, 2 (10%)—23andMe and PatientsLikeMe—are notable because they have published nearly 100 papers in the area between them; both are organized by for-profit organizations. It is necessary to analyze them further to understand the kinds of research papers that are published by these PCIs and why these for-profit organizations seem to have a greater reach than others.

    Features of PCIs

    The features of PCIs have been described in a prior paper [13] as “placing participants in control; using social media technology; promoting active participation; facilitating communication; appealing to public good.” With the results of this scoping review, these features have become clearer.  

    Dynamic consent was implemented in 3 out of 21 PCIs (14%)—PEER, RUDY, and J-RARE—while 12 PCIs (57%) implemented the specific consent model. This result indicates that not all PCIs embedded individual control into the design of the interface.

    The use of social media technology, such as information dissemination, was observed in most of the 21 PCIs. This allows participants to see the progress in research and the results. PCIs also generally provide user-friendly platforms that facilitate two-way interaction between participants and researchers and, in some PCIs, between the participants. In more than half of the 21 PCIs, participants were involved in suggesting research questions. These results indicate that PCIs enable participants to play an active role, not only in terms of controlling their own data-sharing settings but also by way of contributing to decision making in research design. They encourage participants to become involved in the agenda setting of the entire research community. A follow-up study is needed to examine the method and evaluation of these involvement activities.

    Definition of PCIs

    The definition of PCIs was suggested in prior studies in 2012 [12,13], as described in our introduction. However, while conducting this scoping review, we initially found it difficult to distinguish PCIs from other related digital platforms. By analyzing the obtained results, the essential concept and features of PCIs became clearer. Therefore, in this study, we reconsidered the definition of PCIs with clearer and more rigorous criteria. Our proposed updated definition of PCIs is as follows: (1) research activities use ICT, (2) participants are actively involved in the agenda setting of research, and they play roles beyond those of research subjects or assistants, (3) participants can communicate with researchers interactively throughout the research process, and (4) participants can choose the level of their involvement.

    PCIs cultivate an environment to establish collaborative partnerships between participants and researchers. As this participant-centric model is still emerging, the number of PCIs that are currently in practice is small, compared with other kinds of medical research that uses ICT. Employing a rigorous criteria of patient involvement, we excluded researcher-led initiatives that aim at collecting data, such as many patient registries and disease registries, because they did not indicate active involvement by patients either on their website or in their published literature. We also excluded patient registries created with the active support of patient organizations if that involvement was limited to recruiting patients to provide data. Moreover, research projects that limit patient involvement to communicating with participants to disseminate information or to respond to inquiries were also excluded, as we did not consider this to be interactive communication. Clarifying exclusions and inclusions as part of the screening process also allowed us to clearly identify the distinctive levels of involvement and the features of PCIs.

    Comparison Between PCIs in the United States, the United Kingdom, and Japan

    Of the 21 PCIs identified, 19 (90%) were initiated in the United States. There may be a number of possible reasons for this, some of which suggest avenues for future investigation. Firstly, it is possible that the culture of involving patients and members of the public in research is more established in the United States.

    Our results indicated that many of the PCIs were funded by PCORI. The Patient-Powered Research Network is one of the research networks that is operated and governed by patient groups, and it has launched a number of projects using online platforms to collect self-reported data [55,56]. This may suggest that differences in policies of funding organizations have influenced the number of PCIs among the three countries. In the United Kingdom, research funding bodies, such as the Medical Research Council (MRC) and the NIHR, require all applicants to state how they will involve patients and members of the public in the design of the research study, which suggests the culture for patient involvement in medical research is also reasonably well established in the United Kingdom. Nevertheless, this has not yet translated into the establishment of PCIs. Indeed, we found only one funded research project that was using a digital platform.

    Furthermore, the differences in the way that health care is organized may be an additional explanatory factor, but this would need further exploration. The US system is rather unique in the way it organizes health care and this may be tied into the more populous PCI landscape in the country. We are aware that patients in the United States are often engaged around social entrepreneurship in health care and play key roles in initiating new research projects [59]. There may also be different attitudes between the three countries toward the utilization of ICT and direct-to-consumer services. Another consideration is the population size. Although the explanatory power is probably somewhat weak, the larger number of PCIs in the United States may, in part, reflect the much larger population size compared to Japan and the United Kingdom.

    Future research is needed to disentangle the factors impacting the establishment and sustainability of PCIs in order to better understand the underlying reasons for the differences between these countries.

    Limitations and Future Challenges

    In this paper, we investigated PCIs, which enable the active involvement of patients, by conducting a scoping review to understand this new field that has not yet been conceptually established. Therefore, there are a number of limitations to this work.

    First, due to limitations in the search method, some PCIs might have been overlooked in our search. For example, any PCI-related documents that do not contain our keywords indicating active involvement of patients in the titles or abstracts would have been extremely difficult to detect. This would also hold for the website search results. We suggested that consistent definition and terminology of participant involvement should be established to overcome these methodological limitations. Second, any PCIs that do not publish their research in scientific articles, or those whose websites do not appear in any search engine results, would not have been found. Further, research articles and websites that were published after our search period would also have not been included in our findings.

    For future research, PCIs implemented in countries other than those focused on in this study also deserve attention. For instance, other English-speaking countries, such as Canada, Australia, and New Zealand, where there is a push toward patient and public involvement in medical research could be prioritized in future research. Furthermore, it may be desirable to seek a method to evaluate PCIs by a variety of means, such as careful observation, surveys of participant opinions, and exploration of theoretical considerations. Such results will offer insights to further improve ongoing PCIs and aid the establishment of new ones in the future.

    We can also propose possible ideas for moving forward the area of PCIs. In this review, we have documented the important activities of PCIs; at the same time, we have noted that there are still only a small number of projects that meet the criteria we have set for patient involvement. Therefore, the future challenge in the field is how to expand the number of PCIs and also the level of patient involvement that these platforms enable. Ideas for improvement can include the following: (1) wider dissemination of information about the value of PCIs for patients and patient organizations, (2) encouragement of networking between PCIs to facilitate the adoption of good practices, and (3) increase of support by government bodies for PCIs.

    Conclusions

    A scoping review was sufficient to capture recent trends in PCIs designed to facilitate medical research. We identified 21 PCIs currently operating in the United States, the United Kingdom, and Japan. This review contributes to a better understanding of the concept of active involvement by patients that can be facilitated by PCIs, by clarifying the various modes of communication and decision making. Although it is an emerging initiative in medical research, PCIs have the potential to facilitate fruitful collaboration between participants and researchers.

    Acknowledgments

    We thank Mr Toshiyuki Suwa for helping develop our search strategy. We are also grateful to Mr Anthony Castaldo from the US Hereditary Angioedema Association (US HAEA) and Hereditary Angioedema International (HAEi), Mr Simon Denegri from the NIHR, Dr Tiffany Boughtwood from the Murdoch Children’s Research Institute, Dr Mizuki Morita from Okayama University, and Dr Soichi Ogishima from Tohoku University for consultations on the obtained results as the expert panel members. We thank Dr Jessica Bell and Dr Teresa Finlay from the University of Oxford for contributing to the initial study design. We thank Dr Saad Anis from Edanz Group for editing a draft of this manuscript. This work is supported by JSPS (Japan Society for the Promotion of Science) Grants-in-Aid for Scientific Research (KAKENHI) (grants No. JP15K15167 and No. JP17K19812), Osaka University International Joint Research Promotion Program, and the Interdisciplinary Program for Biomedical Sciences (IPBS).

    Conflicts of Interest

    None declared.

    Multimedia Appendix 1

    The search history of the literature database search.

    DOCX File , 20 KB

    Multimedia Appendix 2

    The list of data elements extracted from relevant articles and information on websites of each participant-centric initiative (PCI).

    DOCX File , 15 KB

    Multimedia Appendix 3

    Detailed characteristics of identified participant-centric initiatives (PCIs).

    XLSX File (Microsoft Excel File), 15 KB

    Multimedia Appendix 4

    The list of participant-centric initiatives (PCIs) that had not come out of our original literature search.

    DOCX File , 16 KB

    References

    1. Swan M. Crowdsourced health research studies: An important emerging complement to clinical trials in the public health research ecosystem. J Med Internet Res 2012 Mar 07;14(2):e46 [FREE Full text] [CrossRef] [Medline]
    2. Revicki DA, Osoba D, Fairclough D, Barofsky I, Berzon R, Leidy NK, et al. Recommendations on health-related quality of life research to support labeling and promotional claims in the United States. Qual Life Res 2000;9(8):887-900. [CrossRef] [Medline]
    3. Calvert M, Blazeby J, Altman DG, Revicki DA, Moher D, Brundage MD, CONSORT PRO Group. Reporting of patient-reported outcomes in randomized trials: The CONSORT PRO extension. JAMA 2013 Feb 27;309(8):814-822. [CrossRef] [Medline]
    4. Domecq JP, Prutsky G, Elraiyah T, Wang Z, Nabhan M, Shippee N, et al. Patient engagement in research: A systematic review. BMC Health Serv Res 2014 Feb 26;14:89 [FREE Full text] [CrossRef] [Medline]
    5. What is public involvement in research? NIHR INVOLVE.   URL: https://www.invo.org.uk/find-out-more/what-is-public-involvement-in-research-2/ [accessed 2019-09-13]
    6. The value of engagement. Patient-Centered Outcomes Research Institute (PCORI). 2018 Oct 30.   URL: https:/​/www.​pcori.org/​about-us/​our-programs/​engagement/​public-and-patient-engagement/​value-engagement [accessed 2019-09-13]
    7. Aitken M, Tully MP, Porteous C, Denegri S, Cunningham-Burley S, Banner N, With input from the four public panels of the Farr Institute of Health Informatics Research (2013-2018). Consensus statement on public involvement and engagement with data-intensive health research. Int J Popul Data Sci 2019;4(1):1-6 [FREE Full text] [CrossRef]
    8. UK standards for public involvement. National Institute for Health Research (NIHR).   URL: https://sites.google.com/nihr.ac.uk/pi-standards/standards [accessed 2020-02-03]
    9. Hayes H, Buckland S, Tarpey M. Briefing Notes for Researchers: Public Involvement in NHS, Public Health and Social Care Research. Eastleigh, UK: INVOLVE; 2012 Feb.   URL: http://www.invo.org.uk/wp-content/uploads/2014/11/9938_INVOLVE_Briefing_Notes_WEB.pdf [accessed 2020-02-03]
    10. Manafò E, Petermann L, Vandall-Walker V, Mason-Lai P. Patient and public engagement in priority setting: A systematic rapid review of the literature. PLoS One 2018;13(3):e0193579 [FREE Full text] [CrossRef] [Medline]
    11. Concordat for Engaging the Public with Research. Swindon, UK: UK Research and Innovation (UKRI)   URL: https://www.ukri.org/files/legacy/scisoc/concordatforengagingthepublicwithresearch-pdf/ [accessed 2020-02-03]
    12. Anderson N, Bragg C, Hartzler A, Edwards K. Participant-centric initiatives: Tools to facilitate engagement in research. Appl Transl Genom 2012 Dec 01;1:25-29 [FREE Full text] [CrossRef] [Medline]
    13. Kaye J, Curren L, Anderson N, Edwards K, Fullerton SM, Kanellopoulou N, et al. From patients to partners: Participant-centric initiatives in biomedical research. Nat Rev Genet 2012 Apr 03;13(5):371-376 [FREE Full text] [CrossRef] [Medline]
    14. Slingsby BT. Decision-making models in Japanese psychiatry: Transitions from passive to active patterns. Soc Sci Med 2004 Jul;59(1):83-91. [CrossRef] [Medline]
    15. Japan Agency for Medical Research and Development.   URL: https://www.amed.go.jp/en/index.html [accessed 2020-02-13]
    16. Coathup V, Hamakawa N, Finlay T, Bell J, Kaye J, Kato K. Participant-centric initiatives and medical research: Scoping review protocol. JMIR Res Protoc 2017 Dec 12;6(12):e245 [FREE Full text] [CrossRef] [Medline]
    17. Levac D, Colquhoun H, O'Brien KK. Scoping studies: Advancing the methodology. Implement Sci 2010 Sep 20;5:69 [FREE Full text] [CrossRef] [Medline]
    18. Arksey H, O'Malley L. Scoping studies: Towards a methodological framework. Int J Soc Res Methodol 2005 Feb 23;8(1):19-32 [FREE Full text] [CrossRef]
    19. Woolley JP, McGowan ML, Teare HJA, Coathup V, Fishman JR, Settersten RA, et al. Citizen science or scientific citizenship? Disentangling the uses of public engagement rhetoric in national research initiatives. BMC Med Ethics 2016 Jun 04;17(1):33 [FREE Full text] [CrossRef] [Medline]
    20. Liberati A, Altman DG, Tetzlaff J, Mulrow C, Gøtzsche PC, Ioannidis JPA, et al. The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: Explanation and elaboration. PLoS Med 2009 Jul 21;6(7):e1000100 [FREE Full text] [CrossRef] [Medline]
    21. Lambertson KF, Damiani SA, Might M, Shelton R, Terry SF. Participant-driven matchmaking in the genomic era. Hum Mutat 2015 Oct;36(10):965-973. [CrossRef] [Medline]
    22. Kirkpatrick BE, Riggs ER, Azzariti DR, Miller VR, Ledbetter DH, Miller DT, ClinGen Resource. GenomeConnect: Matchmaking between patients, clinical laboratories, and researchers to improve genomic knowledge. Hum Mutat 2015 Oct;36(10):974-978 [FREE Full text] [CrossRef] [Medline]
    23. Frost JH, Massagli MP, Wicks P, Heywood J. How the social web supports patient experimentation with a new therapy: The demand for patient-controlled and patient-centered informatics. AMIA Annu Symp Proc 2008 Nov 06:217-221 [FREE Full text] [Medline]
    24. Nishimura Y, Nishimura K, Ogishima S, J-RARE Patient Group Consortium. Initiatives in the patient-centered patient registry J-RARE.net. In: Proceedings of the 2nd Annual Meeting of The Japanese Society of Medical Networking for Intractable Diseases. 2014 Presented at: The Japanese Society of Medical Networking for Intractable Diseases; November 14-15, 2014; Kagoshima, Japan p. 68.
    25. Morita M, Nishimura K, Ogishima S, Oda Y, Inoi K, Nagamatsu K, et al. Patient-Driven Patient Registry Study: Research Report on Health Labour Sciences Research Grant Research on Measures for Intractable Diseases [report in Japanese]. 2013.   URL: http://www.nanbyo.jp/kenkyu/hokoku/H24siryo/51-63.pdf [accessed 2020-07-09]
    26. Wicks P, Massagli M, Frost J, Brownstein C, Okun S, Vaughan T, et al. Sharing health data for better outcomes on PatientsLikeMe. J Med Internet Res 2010 Jun 14;12(2):e19 [FREE Full text] [CrossRef] [Medline]
    27. Teare HJA, Hogg J, Kaye J, Luqmani R, Rush E, Turner A, et al. The RUDY study: Using digital technologies to enable a research partnership. Eur J Hum Genet 2017 Jun;25(7):816-822 [FREE Full text] [CrossRef] [Medline]
    28. Fleurence RL, Beal AC, Sheridan SE, Johnson LB, Selby JV. Patient-powered research networks aim to improve patient care and health research. Health Aff (Millwood) 2014 Jul;33(7):1212-1219. [CrossRef] [Medline]
    29. PCORnet PPRN Consortium, Daugherty SE, Wahba S, Fleurence R. Patient-powered research networks: Building capacity for conducting patient-centered clinical outcomes research. J Am Med Inform Assoc 2014;21(4):583-586 [FREE Full text] [CrossRef] [Medline]
    30. 23andMe.   URL: https://www.23andme.com/en-int/?myg02=true [accessed 2018-01-14]
    31. PatientsLikeMe.   URL: https://www.patientslikeme.com/ [accessed 2018-01-14]
    32. Promise for Engaging Everyone Responsibly (PEER). Genetic Alliance.   URL: http://www.geneticalliance.org/programs/biotrust/peer [accessed 2018-01-14]
    33. GenomeConnect.   URL: https://www.genomeconnect.org/ [accessed 2018-01-14]
    34. RUDY Study.   URL: https://research.ndorms.ox.ac.uk/rudy/ [accessed 2018-01-14]
    35. MoodNetwork.   URL: https://moodnetwork.org/ [accessed 2018-01-14]
    36. mPower.   URL: https://parkinsonmpower.org/ [accessed 2018-01-14]
    37. J-RARE.   URL: https://j-rare.net/ [accessed 2018-01-14]
    38. ABOUT Network.   URL: https://www.aboutnetwork.org/ [accessed 2018-04-16]
    39. ArthritisPower.   URL: https://arthritispower.creakyjoints.org/ [accessed 2018-04-16]
    40. IBD Partners.   URL: https://ccfa.med.unc.edu/ [accessed 2018-04-18]
    41. Rare Epilepsy Network (REN). Epilepsy Foundation.   URL: https:/​/www.​epilepsy.com/​make-difference/​research-and-new-therapies/​engagement/​rare-epilepsy-network-ren [accessed 2018-03-17]
    42. COPD PPRN.   URL: https://www.copdpprn.org/portal/Login?ReturnUrl=%2Fportal%2F#/ [accessed 2018-03-17]
    43. Health eHeart Study.   URL: https://www.health-eheartstudy.org/ [accessed 2018-03-18]
    44. Interactive Autism Network (IAN). Kennedy Krieger Institute.   URL: https://www.kennedykrieger.org/research/centers-labs-cores/the-interactive-autism-network-ian [accessed 2018-03-12]
    45. iConquerMS.   URL: https://www.iconquerms.org/ [accessed 2018-03-24]
    46. National Alzheimer's & Dementia Patient- & Caregiver-Powered Research Network. Patient-Centered Outcomes Research Institute (PCORI).   URL: https:/​/www.​pcori.org/​research-results/​2015/​national-alzheimers-dementia-patient-caregiver-powered-research-network [accessed 2020-07-08]
    47. The NephCure Kidney Network Patient Registry (NKN). NephCure Kidney International. 2015 Dec 15.   URL: https://nephcure.org/2015/12/the-nephcure-kidney-network-patient-registry-nkn/ [accessed 2018-06-14]
    48. IDF PI CONNECT. Immune Deficiency Foundation (IDF).   URL: https://primaryimmune.org/pi-connect [accessed 2018-06-28]
    49. Vasculitis Patient-Powered Research Network.   URL: https://www.vpprn.org/ [accessed 2018-06-28]
    50. MyApnea.   URL: https://myapnea.org/ [accessed 2018-06-28]
    51. Publications. 23andMe.   URL: https://www.23andme.com/publications/for-scientists/ [accessed 2019-07-12]
    52. Research Manuscripts Bibliography: The Complete Collection of PatientsLikeMe Research Publications. Cambridge, MA: PatientsLikeMe; 2019 Jan.   URL: https://patientslikeme-bibliography.s3.amazonaws.com/PLM%20Research%20Manuscripts%20Bibliography.pdf [accessed 2019-08-06]
    53. Kaye J, Whitley EA, Lund D, Morrison M, Teare H, Melham K. Dynamic consent: A patient interface for twenty-first century research networks. Eur J Hum Genet 2015 Feb;23(2):141-146 [FREE Full text] [CrossRef] [Medline]
    54. Cukor D, Cohen LM, Cope EL, Ghahramani N, Hedayati SS, Hynes DM, et al. Patient and other stakeholder engagement in Patient-Centered Outcomes Research Institute funded studies of patients with kidney diseases. Clin J Am Soc Nephrol 2016 Sep 07;11(9):1703-1712 [FREE Full text] [CrossRef] [Medline]
    55. Cooperative Agreement Funding Announcement: Improving Infrastructure for Conducting Patient-Centered Outcomes Research. The National Patient-Centered Clinical Research Network: Patient-Powered Research Networks (PPRN)—Phase One. Washington, DC: Patient-Centered Outcomes Research Institute (PCORI); 2013 Apr 23.   URL: https://www.pcori.org/assets/PCORI-PPRN-Funding-Announcement-042313.pdf [accessed 2020-02-12]
    56. Pletcher MJ, Forrest CB, Carton TW. PCORnet's Collaborative Research Groups. Patient Relat Outcome Meas 2018;9:91-95 [FREE Full text] [CrossRef] [Medline]
    57. Deshpande PR, Rajan S, Sudeepthi BL, Abdul Nazir CP. Patient-reported outcomes: A new era in clinical research. Perspect Clin Res 2011 Oct;2(4):137-144 [FREE Full text] [CrossRef] [Medline]
    58. Haghi M, Thurow K, Stoll R. Wearable devices in medical internet of things: Scientific research and commercially available devices. Healthc Inform Res 2017 Jan;23(1):4-15 [FREE Full text] [CrossRef] [Medline]
    59. Terry SF, Terry PF, Rauen KA, Uitto J, Bercovitch LG. Advocacy groups as research organizations: The PXE International example. Nat Rev Genet 2007 Feb;8(2):157-164. [CrossRef] [Medline]


    Abbreviations

    CINAHL: Cumulative Index of Nursing and Allied Health Literature
    Embase: Excerpta Medica Database
    HAEi: Hereditary Angioedema International
    ICT: internet and communication technology
    IPBS: Interdisciplinary Program for Biomedical Sciences
    JSPS: Japan Society for the Promotion of Science
    KAKENHI: Grants-in-Aid for Scientific Research
    MEDLINE: Medical Literature Analysis and Retrieval System Online
    MeSH: Medical Subject Headings
    MRC: Medical Research Council
    NHS: National Health Service
    NIH: National Institutes of Health
    NIHR: National Institute for Health Research
    PCI: participant-centric initiative
    PCORI: Patient-Centered Outcomes Research Institute
    PEER: Promise for Engaging Everyone Responsibly
    PRISMA: Preferred Reporting Items for Systematic Reviews and Meta-Analyses
    RUDY: Rare and Undiagnosed Diseases Study
    US HAEA: US Hereditary Angioedema Association
    V-PPRN: Vasculitis Patient-Powered Research Network


    Edited by G Eysenbach; submitted 30.09.19; peer-reviewed by K Jones, K Fuji; comments to author 18.11.19; revised version received 13.02.20; accepted 03.06.20; published 04.08.20

    ©Nao Hamakawa, Rumiko Nakano, Atsushi Kogetsu, Victoria Coathup, Jane Kaye, Beverley Anne Yamamoto, Kazuto Kato. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 04.08.2020.

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