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      Feasibility of a virtual Facebook community platform for engagement on health research

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          Abstract

          Introduction:

          Community engagement is important for advancing Clinical and Translational Science (CTS), but face-to-face engagement has limited reach and scale. We examined the feasibility of a novel virtual Facebook community platform for public engagement on health research statewide in Minnesota.

          Methods:

          The Facebook platform, MN Research Link, was evaluated from June 19, 2019 to June 30, 2020. Facebook advertisements and boosts were used to recruit followers. Content, based on prior formative work, included health research information and interactive postings (e.g., live interviews with researchers). Standard metrics obtained from Facebook analytics included participation (followers), content reach (views), and engagement (likes, shares, comments, clicks).

          Results:

          During the 12-month period, we acquired 1406 followers (31% rural residents), with a retention of followers of 99.7%. Mean number of views per month was 9379.83 (Mdn = 2791, range 724–41,510). Engagement metrics indicated a mean of 535.2 likes, shares, comments, and/or clicks per month (Mdn = 296.5, range 55–1535). The page continued to acquire new followers, but a slight decrease in engagement was observed in the final months after state COVID-19 mitigation strategies were implemented.

          Conclusion:

          As the complexity of CTS continues to grow, along with social distancing measures resulting from the COVID-19 pandemic, the availability of virtual digital platforms to reach and engage community stakeholders in conversations about health and research has increasing importance. Preliminary findings from this program evaluation indicate that a Facebook community platform is feasible to engage Minnesota residents in conversations around health and research topics. Future work will evaluate its potential for reach, scale, and sustainability.

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          Digital technologies in the public-health response to COVID-19

          Jobie Budd, Benjamin S. Miller, Erin M. Manning … (2020)
          Digital technologies are being harnessed to support the public-health response to COVID-19 worldwide, including population surveillance, case identification, contact tracing and evaluation of interventions on the basis of mobility data and communication with the public. These rapid responses leverage billions of mobile phones, large online datasets, connected devices, relatively low-cost computing resources and advances in machine learning and natural language processing. This Review aims to capture the breadth of digital innovations for the public-health response to COVID-19 worldwide and their limitations, and barriers to their implementation, including legal, ethical and privacy barriers, as well as organizational and workforce barriers. The future of public health is likely to become increasingly digital, and we review the need for the alignment of international strategies for the regulation, evaluation and use of digital technologies to strengthen pandemic management, and future preparedness for COVID-19 and other infectious diseases.
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            The Use of Social Media in Recruitment for Medical Research Studies: A Scoping Review

            Jane Topolovec-Vranic, Karthik Natarajan (2016)
            Background Recruiting an adequate number of participants into medical research studies is challenging for many researchers. Over the past 10 years, the use of social media websites has increased in the general population. Consequently, social media websites are a new, powerful method for recruiting participants into such studies. Objective The objective was to answer the following questions: (1) Is the use of social media more effective at research participant recruitment than traditional methods? (2) Does social media recruit a sample of research participants comparable to that recruited via other methods? (3) Is social media more cost-effective at research participant recruitment than traditional methods? Methods Using the MEDLINE, PsycINFO, and EMBASE databases, all medical research studies that used social media and at least one other method for recruitment were identified. These studies were then categorized as either interventional studies or observational studies. For each study, the effectiveness of recruitment, demographic characteristics of the participants, and cost-effectiveness of recruitment using social media were evaluated and compared with that of the other methods used. The social media sites used in recruitment were identified, and if a study stated that the target population was “difficult to reach” as identified by the authors of the study, this was noted. Results Out of 30 studies, 12 found social media to be the most effective recruitment method, 15 did not, and 3 found social media to be equally effective as another recruitment method. Of the 12 studies that found social media to be the best recruitment method, 8 were observational studies while 4 were interventional studies. Of the 15 studies that did not find social media to be the best recruitment method, 7 were interventional studies while 8 were observational studies. In total, 8 studies stated that the target population was “hard-to-reach,” and 6 of these studies found social media to be the most effective recruitment method. Out of 14 studies that reported demographic data for participants, 2 studies found that social media recruited a sample comparable to that recruited via traditional methods and 12 did not. Out of 13 studies that reported cost-effectiveness, 5 studies found social media to be the most cost-effective recruitment method, 7 did not, and 1 study found social media equally cost-effective as compared with other methods. Conclusions Only 12 studies out of 30 found social media to be the most effective recruitment method. There is evidence that social media can be the best recruitment method for hard-to-reach populations and observational studies. With only 30 studies having compared recruitment through social media with other methods, more studies need to be done that report the effectiveness of recruitment for each strategy, demographics of participants recruited, and cost-effectiveness of each method.
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              Community Engagement Studios: A Structured Approach to Obtaining Meaningful Input From Stakeholders to Inform Research

              Yvonne Joosten, Tiffany Israel, Neely Williams … (2015)
              Problem Engaging communities in research increases its relevance and may speed the translation of discoveries into improved health outcomes. Many researchers lack training to effectively engage stakeholders, whereas academic institutions lack infrastructure to support community engagement. Approach In 2009, the Meharry-Vanderbilt Community-Engaged Research Core began testing new approaches for community engagement, which led to the development of the Community Engagement Studio (CE Studio). This structured program facilitates project-specific input from community and patient stakeholders to enhance research design, implementation, and dissemination. Developers used a team approach to recruit and train stakeholders, prepare researchers to engage with stakeholders, and facilitate an in-person meeting with both. Outcomes The research core has implemented 28 CE Studios that engaged 152 community stakeholders. Participating researchers, representing a broad range of faculty ranks and disciplines, reported that input from stakeholders was valuable and that the CE Studio helped determine project feasibility and enhanced research design and implementation. Stakeholders found the CE Studio to be an acceptable method of engagement and reported a better understanding of research in general. A tool kit was developed to replicate this model and to disseminate this approach. Next Steps The research core will collect data to better understand the impact of CE Studios on research proposal submissions, funding, research outcomes, patient and stakeholder engagement in projects, and dissemination of results. They will also collect data to determine whether CE Studios increase patient-centered approaches in research and whether stakeholders who participate have more trust and willingness to participate in research.
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                Author and article information

                Journal
                Journal ID (nlm-ta): J Clin Transl Sci
                Journal ID (iso-abbrev): J Clin Transl Sci
                Journal ID (publisher-id): CTS
                Title: Journal of Clinical and Translational Science
                Publisher: Cambridge University Press (Cambridge, UK )
                ISSN (Electronic): 2059-8661
                Publication date (Electronic, collection): 2021
                Publication date (Electronic, pub): 18 February 2021
                Volume: 5
                Issue: 1
                Electronic Location Identifier: e85
                Affiliations
                [1 ]Department of Psychiatry and Psychology and Center for Clinical and Translational Science, Mayo Clinic , Rochester, MN, USA
                [2 ]Center for Clinical and Translational Science, Mayo Clinic , Rochester, MN, USA
                [3 ]Hubbard School of Journalism & Mass Communication, University of Minnesota , Minneapolis, MN, USA
                [4 ]School of Public Health, University of Minnesota , Minneapolis, MN, USA
                [5 ]Department of Family Medicine and Community Health, Medical School and the Clinical and Translational Science Institute, University of Minnesota , Minneapolis, MN, USA
                Author notes
                Address for correspondence: C. A. Patten, PhD, Department of Psychiatry and Psychology and Center for Clinical and Translational Science Mayo Clinic, 200 First St SW, Rochester, MN55905, USA. Telephone: (507) 538-7370. Email: patten.christi@ 123456mayo.edu
                [*]

                Dr. Balls-Berry is now with Washington University School of Medicine in St. Louis, MO, USA.

                Author information
                https://orcid.org/0000-0002-4036-6491
                Article
                Publisher Item ID: S2059866121000121
                DOI: 10.1017/cts.2021.12
                PMC ID: 8111695
                SO-VID: 458400b4-8692-4cac-ae84-cf6c33c45828
                Copyright © © The Association for Clinical and Translational Science 2021
                License:

                This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence ( http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial reuse or in order to create a derivative work

                History
                Date received : 24 November 2020
                Date revision received : 10 February 2021
                Date accepted : 11 February 2021
                Page count
                Figures: 4, Tables: 1, References: 34, Pages: 7
                Categories
                Subject: Research Article
                Subject: Implementation, Policy and Community Engagement

                Keywords: social media,virtual,digital,community engagement,covid-19
                Data availability:
                Keywords: social media, virtual, digital, community engagement, covid-19

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