Using Social Media to Engage Knowledge Users in Health Research Priority Setting: Scoping Review
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JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Review Using Social Media to Engage Knowledge Users in Health Research Priority Setting: Scoping Review Surabhi Sivaratnam1,2, BHSc; Kyobin Hwang2,3; Alyssandra Chee-A-Tow4, MPH; Lily Ren5, MI; Geoffrey Fang6; Lindsay Jibb2,7, RN, PhD 1 Michael G Degroote School of Medicine, McMaster University, Hamilton, ON, Canada 2 Child Health Evaluative Sciences, Hospital for Sick Children, Toronto, ON, Canada 3 Faculty of Health Sciences, McMaster University, Hamilton, ON, Canada 4 Faculty of Dentistry, University of Toronto, Toronto, ON, Canada 5 Lane Medical Library, Stanford University, Stanford, CA, United States 6 Faculty of Applied Science and Engineering, University of Toronto, Toronto, ON, Canada 7 Lawrence S Bloomberg Faculty of Nursing, University of Toronto, Toronto, ON, Canada Corresponding Author: Lindsay Jibb, RN, PhD Child Health Evaluative Sciences Hospital for Sick Children 686 Bay Street Toronto, ON Canada Phone: 1 416 813 7654 ext 309160 Email: lindsay.jibb@sickkids.ca Abstract Background: The need to include individuals with lived experience (ie, patients, family members, caregivers, researchers, and clinicians) in health research priority setting is becoming increasingly recognized. Social media–based methods represent a means to elicit and prioritize the research interests of such individuals, but there remains sparse methodological guidance on how best to conduct these social media efforts and assess their effectiveness. Objective: This review aims to identify social media strategies that enhance participation in priority-setting research, collate metrics assessing the effectiveness of social media campaigns, and summarize the benefits and limitations of social media–based research approaches, as well as recommendations for prospective campaigns. Methods: We searched PubMed, Embase, Cochrane Library, Scopus, and Web of Science from database inception until September 2021. Two reviewers independently screened all titles and abstracts, as well as full texts for studies that implemented and evaluated social media strategies aimed at engaging knowledge users in research priority setting. We subsequently conducted a thematic analysis to aggregate study data by related codes and themes. Results: A total of 23 papers reporting on 22 unique studies were included. These studies used Facebook, Twitter, Reddit, websites, video-calling platforms, emails, blogs, e-newsletters, and web-based forums to engage with health research stakeholders. Priority-setting engagement strategies included paid platform–based advertisements, email-embedded survey links, and question-and-answer forums. Dissemination techniques for priority-setting surveys included snowball sampling and the circulation of participation opportunities via internal members’ and external organizations’ social media platforms. Social media campaign effectiveness was directly assessed as number of clicks and impressions on posts, frequency of viewed posts, volume of comments and replies, number of times individuals searched for a campaign page, and number of times a hashtag was used. Campaign effectiveness was indirectly assessed as numbers of priority-setting survey responses and visits to external survey administration sites. Recommendations to enhance engagement included the use of social media group moderators, opportunities for peer-to-peer interaction, and the establishment of a consistent tone and brand. Conclusions: Social media may increase the speed and reach of priority-setting participation opportunities leading to the development of research agendas informed by patients, family caregivers, clinicians, and researchers. Perceived limitations of the approach include underrepresentation of certain demographic groups and addressing such limitations will enhance the inclusion of diverse research priority opinions in future research agendas. https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 1 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al (J Med Internet Res 2022;24(2):e29821) doi: 10.2196/29821 KEYWORDS social media; research priority-setting; knowledge user; scoping review 3. From the perspectives of those conducting social Introduction media–based research priority-setting campaigns, what are Background the benefits and limitations of the method, as well as recommendations for future campaigns? The need to meaningfully engage individuals with lived experience (ie, patients, family members, caregivers, clinicians, Methods researchers, and other advocates; henceforth referred to as knowledge users) in the conduct of health research—defined Overview as research that includes clinical and basic medical sciences, An internal protocol was developed for this review. Our such as care-based research, systems research, and preventative reporting process was conducted in accordance with the research—is being increasingly recognized by the scientific PRISMA-ScR (Preferred Reporting Items for Systematic community. In particular, it is recognized that these individuals Reviews and Meta-Analyses extension for scoping reviews) should be included at the onset of the research process, with the guidelines [8]. aim of developing research that meets the needs of individuals with lived experiences [1]. In fact, the lack of involvement of Search Strategy and Selection of Studies these individuals in such research priority setting has been A comprehensive search strategy was developed in consultation identified as a key contributor to difficulties in effectively with a tertiary hospital librarian (LR). We conducted tailored translating research findings into clinical practice and policy searches in PubMed, Embase, Cochrane Library, Scopus, and [2]. Web of Science. We searched all databases from their inception In parallel, the use of social media—defined as any web-based to September 14, 2021. Multimedia Appendix 1 shows the platform or mobile app through which users can engage with search strategy. Intradatabase and interdatabase duplicates were others—is gaining considerable traction within the research removed electronically. Using Covidence (Veritas Health community, as researchers increasingly access Facebook, Innovation), titles and abstracts were screened independently Twitter, and YouTube to support participant recruitment and by 2 trained authors (KH and SS) according to our eligibility other research activities [3]. The benefits of research-related criteria. In cases of conflicting opinions on eligibility, studies social media use include enhanced connectivity between were moved to full-text screening. Full-text articles were then researchers and participants and the potential for rapid diffusion screened independently by 2 authors (KH and SS). Any of scientific knowledge to target audiences [4]. The nature of eligibility disagreements were resolved by consensus through web-based survey methods may also enhance anonymity for discussion by at least three authors (AC, KH, SS, and LJ). The participants within the research process, potentially promoting reference lists of relevant studies were also scanned to find other the collection of more valid data [5]. Particularly, data collected applicable papers. via the web may be less vulnerable to contextual biases that can Selection Criteria arise in focus group settings or when researchers administer surveys in-person [5]. We included studies (1) that discussed strategies to promote social media–based health research priority setting among key In light of such potential benefits, a growing body of literature stakeholders and knowledge users and (2) measured the describing the use of social media to elicit and prioritize research effectiveness of such strategies directly or indirectly. There uncertainties from knowledge users is emerging [6]. However, were no restrictions on the language, country, and year of there remains sparse methodological guidance on how best to publication, nor the research content focus, as priority-setting conduct social media efforts and their corresponding research is cross-disciplinary. Although no explicit restrictions effectiveness in developing knowledge user–built research were placed on the language, the included studies were agendas [7]. dominated by English language–based social media campaigns. Objective and Research Questions We defined social media as any web-based platform or mobile app through which users can interact and engage with others. Through this knowledge user–driven scoping review, we aim We defined knowledge users as patients (or potential patients), to identify studies that implemented and evaluated social media caregivers, clinicians, and other advocates (eg, health campaigns that promote participation in setting priorities for researchers). We excluded (1) studies where the purpose of the health research to address three overarching research questions: social media campaign did not include knowledge user 1. What social media–based strategies have been used to engagement (eg, social campaigns used to disseminate smoking enhance knowledge user participation in health research cessation information to knowledge users) [9]; (2) studies where priority setting? the research prioritization campaign did not involve social media 2. What metrics (direct and indirect) have been used to assess (dissemination techniques solely involved telephone calls, flyer the effectiveness of these social media campaigns in distribution, etc); and (3) abstracts, dissertations, protocols, securing knowledge user participation? systematic reviews, scoping reviews, or case studies. https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 2 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Data Extraction and Management review. The number of published studies increased steadily over A standard electronic data collection form was created and time until 2020, which was the last complete publication year piloted with our group, after which data extraction occurred (Figure 2). independently (KH and SS). Discrepancies between the collected Included studies were conducted in 46 countries, most data were resolved through discussion with 3 authors (LJ, SS, commonly in the United States (11/23, 48%), the United and KH). Kingdom (7/23, 30%), and Canada (5/23, 22%). Studies described participation by 13,640 individuals (median 332; Data Analyses range 31-4601), with sample size data missing from 4% (1/23) We used descriptive statistics to summarize quantitative study of the studies. Across studies, the median percentage of female data and an inductive thematic analysis to synthesize qualitative participants was 77.28% (7404/9581). Sex data were missing data [10]. Our data collection form was uploaded to NVivo from 52% (12/23) of the studies. Age data were variably (version 12.6.0; QSR International) for analysis and was read reported and missing from 57% (13/23) of the studies; therefore, through multiple times by 2 authors (KH and SS) who had data were not collated. Sex data were missing from 39% (9/23) previous experience with thematic analyses. One author (SS) of the studies. Included studies used a variety of social media then coded qualitative text within the table on a platforms to gather research priorities, including websites, segment-by-segment basis. At frequent meetings, a second emails, Facebook, Twitter, e-newsletters, web-based flyers, author (KH) reviewed the coding decisions using a constant Survey Monkey, ExpertLens, blogs, YouTube, Choicebook, comparative approach adapted from Thorne [11]. As a group, Instagram, WhatsApp, Snapchat, and web-based forums. The we (KH, SS, and LJ) then collapsed these codes into subthemes most common platforms used in the included studies were and themes based on the between-code relationships and in websites (12/23, 52%) and Facebook (9/23, 39%). The median accordance with our research questions. length of a study’s social media campaign, when reported, was 3.5 months (range 1-24 months). Table 1 summarizes the Results characteristics of the included studies. Overview Figure 1 outlines our study identification process. Overall, 23 papers reporting on 22 unique studies were included in this Figure 1. Study screening flowchart. https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 3 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Figure 2. Social media–based research prioritization publication trend. https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 4 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Table 1. Study characteristics (N=23). Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Allsop 2019; 51 Not stat- Website Members of To identify May to Au- 101 orga- Not stat- 51 (100%) Research prior- et al 32 coun- ed and the African (1) current gust 2016 nizations ed survey re- ities success- [12] tries emails Palliative mobile (4 months) were sponses fully identi- within Care Associ- health use in emailed (50.5% re- fied Africa ation and in- palliative with web- sponse dividuals care, (2) po- based sur- rate) who work in tential barri- vey links palliative ers to use, care and (3) prior- ities for re- search devel- opment Cor- 2020; 365 Not stat- Website, Patients and To identify November 19,176 Not stat- 441 survey Research prior- rell et United ed emails, caregivers of what re- 2016, Jan- emails ed responses ities success- al [13] States and other children (age search topics uary 2017, were sent fully identi- ≥13 years) were most and March fied important to 2017 for patients and JM, AFd, caregivers of and LFAe, children with respective- JMa, JAb, ly (5 and cSLEc months) Dyson 2017; 110 Median Website, Caregivers To identify December Creation Website 110 Research prior- et al Canada age 35 Face- of children the outcome 2013 to of web- visits (100%) ities success- [14] and Por- years; book, and aged 0-17 priorities of March site, Face- (5207); survey re- fully identi- tugal 90% Twitter years parents of 2014 (4 book, and 3.9% spondents fied (99/110) children who months) Twitter view rate women, had experi- page or 10% enced an posts (11/110) acute respira- with em- men tory infec- bedded tion survey links Dyson 2017; 110 Median Website, Caregivers To identify December Creation Survey 110 Research prior- et al Canada age 35 Face- of children the outcome 2013 to of web- site visits (100%) ities success- [15] and Por- years; book, and aged 0-17 priorities of March site, Face- (5027); survey re- fully identi- tugal 90% Twitter years parents of 2014 (4 book, and Facebook spondents fied (99/110) children who months) Twitter page likes women, had experi- page or (104); 10% enced an posts and Twit- (11/110) acute respira- with em- ter follow- men tory infec- bedded ing (52 tion survey new fol- links lowers) https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 5 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Eber- 2019; 4601; Age not Newslet- Athletic To identify January 30, 48,752 Started 4514 Research prior- man et United 87 stated; ters via trainers research pri- 2017 to emails the sur- (100%) re- ities success- al [16] States (1.89%) 55.05% email orities and March 16, were sent vey search par- fully identi- for fo- (2533/4601) unify re- 2017 (2 (5131, ticipants fied cus women, search with months) 10.5%); (9.3% re- groups, 43.40% clinical prac- agreed to sponse 4514 (1997/4601) tice to im- partici- rate) (98.11%) men, and prove patient pate for sur- 0.61% care and ad- (4514, vey (28/4601) vance the 9.3%); no indica- profession and com- tion pleted the question- naire (3910, 86.6%) Han et 2019; 332 Median Newslet- Females To identify November 904 web- Survey 332 Identified high al [17] United age 51 ters via aged ≥18 diabetes type 2016 to site posts link (100%) re- priority re- States years; web, web- years 1 or 2 or pre- June 2017 clicks search par- search areas 100% site, Face- diabetes (8 months) (421); ticipants for women liv- (332/332) book, health re- com- ing with dia- women Twitter, search priori- ments on betes web- ties posts based fly- (904); to- ers, and tal likes emails (530); to- tal search- es (167); and re- source download (671) Han et 2017; 332 Median Newslet- Females To identify Not stated 551 Tag 332 The re- al [18] United age 49 ters via aged ≥18 diabetes type emails clicks (100%) searchers States years; web, web- years 1 or 2 or pre- were sent (497); re- survey re- identified 11 100% site, Face- diabetes posts and spondents high priority (332/332) book, health re- com- (84% re- categories of women Twitter, search priori- ments sponse topics that web- ties (872); rate) were dis- based fly- voted for cussed on the ers, and posts DiabetesSis- emails (540); tersVoices searched community for re- sources (167); and download- ed re- sources (671) https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 6 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Healy 2018; 790 Age not Website, People invit- To identify July 2016 Not stat- Not stat- 790 List of top 10 et al United stated; emails, ed to partici- priority re- to August ed ed (100%) re- trial recruit- [19] King- 71% and Twit- pate in a ran- search ques- 2016 (1 spondents ment uncer- dom (561/790) ter domized trial tions related month) tainties, deter- and Ire- women, or participat- to trial re- mined by land 28.98% ed in Trial cruitment those directly (229/790) Steering involved in tri- men Committees, als, were iden- front line tified randomized trials staff and investiga- tors, and people famil- iar with trial methodology Kim et 2018; 360 Age not Ex- Patient, pa- To deter- 18 months Not stat- Not stat- 84% re- Research prior- al [20] United stated; pertLens tient advo- mine engage- ed ed sponse rate ity successful- States 60% (ie, ex- cate, clini- ment of ly identified (216/360) pert opin- cian, and re- stakeholders women, ion fo- searcher in research 40% rums), stakeholders related to (144/360) emails, heart failure, men and other obesity, and Kawasaki disease Kriss 2019; 207 Not stat- Email Experts in To identify October 17 774 Not stat- 207 Four main re- et al United ed global, re- research pri- to Novem- emails ed (100%) re- search priori- [21] States gional, and orities for ber 4, 2016 were sent spondents ties within the national or achieving (approxi- field of subnational disease elimi- mately 1 measles and health nation goals month) rubella in the con- text of measles and rubella Morris 2015; 475 Not stat- Website, Children To identify Not stated Creation Not stat- 369 respon- Successfully et al United ed newslet- with neu- and priori- of web- ed dents (78% established [22] King- ters, and rodisability, tize research site and response top 3 research dom emails caregivers, questions re- emails rate) priorities with em- and clini- garding were sent bedded cians ways to im- with em- links prove the bedded health and links well-being of children and young people with neurodisabil- ity https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 7 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Morse 2021; 31 Mean age Email Parents of To (1) ascer- August Posting Social Not stated Established re- et al United 15 years; and social children with tain parents’ 2018 to institu- media search priori- [23] States 55% media medical perceived February tional re- post ties (17/31) platforms complexity characteris- 2019 (6 view shares women, (not speci- tics of child months) board–ap- (n=30) 45% fied) pain experi- proved (14/31) ences, (2) message men determine on prima- the extent to ry investi- which par- gator’s ents feel that social me- caregivers dia page adequately address pain, and (3) iden- tify ways in which pain collaboration between par- ents and caregivers may be im- proved Nor- 2015; 57 Not stat- Survey Patients, To identify August 6 to Not stat- “Ob- Not stated Developed a mansell United ed Monkey, caregivers, research pri- September ed tained a list of priority et al King- Face- and health orities in 5, 2014 (1 large Cochrane Re- [5] dom book, care profes- asthma month) number views Twitter, sionals with of re- website, expertise in sponses and other this disci- in a short pline timeperi- od with potential- ly wide geographi- cal reach” Oe- 2020; 363 Not stat- What- OGAAf To prioritize September Posted on Not stat- Not stated Established re- sopha- United ed sApp and committee, future re- to Novem- organiza- ed search priori- go- King- email national search areas ber 2019 (3 tions’ so- ties Gas- dom leaders, and of unmet months) cial me- tric engaged clinical need dia ac- Anas- clinicians in RCTsg to counts tomo- from high-, reduce anas- sis low-, and tomotic Study middle-in- leaks Group come coun- [24] tries https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 8 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Row- 2019; 482 Not stat- Twitter Patients, To identify March 320 Twitter Not stated Top 10 list for both- world- ed their care- research pri- 2016 to tweets followers research in am et wide givers, and orities for January gained CFh was estab- al [25] clinicians cystic fibro- 2017 (10 (n=732); lished sis months) total num- ber of views (n=151,000); engage- ments with hash- tag (n=1806); and fol- lowers (n=1160) Rus- 2016; 96 Not stat- Facebook Family To exchange June 2014 432 Face- 96 Face- 49 respon- Provided re- sell et Canada ed members of knowledge to March book book dents (51% searchers with al [26] children on project 2015 (10 posts members; response an opportunity planning and months) were pub- posts rate) to consult research di- lished were gen- families of rection and erally children with translate re- seen by special needs search all group to receive knowledge members; guidance and on disabili- median hear issues ties and med- likes that are impor- ical complex- (n=3); tant to them. ity and com- Research prior- ments ities not identi- (n=4) fied Salmi 2020; 36 Not stat- Twitter, Patients with To describe April 2018 Two 60- 417 N/Ai Research prior- et al United ed emails, brain tumor the use of (1 month) minute tweets by ities, in the [27] States blog and their Twitter to scheduled partici- form of quali- posts, and care partners complement live chat pants in tative themes, Facebook (ie, family in-person on Twit- first ses- were success- groups members stakeholder ter sion and fully identi- and friends engagement 355 fied who care for and report tweets by patients) emerging partici- themes from pants in qualitative second analysis of session tweet chats on quality of life needs and pallia- tive care op- portunities for patients with brain tumor https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 9 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Shal- 2020; 300 Not stat- Blogs and Patients and To under- January Not stat- Facebook Not stated Optimal hub et United ed website their care- stand patient 2018 and ed members modality for al [28] States, givers needs and April 2018 in secret research partic- United determine (2 months) group ipation and King- the research (n=363) methodologies dom, methods best and Face- for building and suited to book fol- trust in the re- Canada study the ad- lowers search teams verse health (n=80,573) were identi- implications fied associated with vascu- lar Ehlers- Danlos syn- drome Shields 2010; >800 Not stat- Choice- Residents of To engage Not stated YouTube “Hits” on Not stated Findings iden- et al Canada ed book, and health the disperse video website tified new or [29] message service population welcome platform additional re- board, providers in of northwest- message; (n=2500); search priori- blog, northwestern ern Ontario weekly website ties for health YouTube, Ontario in health blogs; views network Face- care priority and week- (n=2000); book, and setting ly partici- and >800 email pation up- partici- date re- pants ports Siefried 2021; 47 Mean age Newslet- Consumers, To identify February Newslet- Not stat- Not stated Research et al Aus- 42 years; ter, family, clinical re- 2019 to ter with ed themes and [30] tralia 45% emails friends, care- search priori- March embed- priorities were (21/47) with em- givers, clini- ties for 2019 (1 ded link successfully women, bedded cians, re- metham- month) were sent identified 45% links, searchers, phetamine to mail- (21/47) Twitter, policymak- and emerg- ing list men, and and web- ers, industry, ing drugs of and recipi- 5% (2/47) site research fun- concern in ents of other or ders, institu- Australia, to emails preferred tions, organi- guide the were invit- not to say zations, law work of the ed to for- enforcement, National ward the border con- Centre for email to trol, and oth- Clinical Re- other in- er communi- search on terested ty members Emerging parties interested in Drugs the topic of metham- phetamine https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 10 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Sin- 2019; 80 Mean age ConnectE- Parents of To identify Approxi- 105 par- 92% 54 (68%) Top 10 list of clair et Croatia, 38 years; people (e- children with the research mately 2 ents were (74/80) of respon- research prior- al [31] France, 94% forum), illness priorities of months invited to partici- dents ities were suc- Ger- (75/80) Face- parents of secret pants ac- (51.4% re- cessfully iden- many, women, book, children with Facebook cessed sponse tified Italy, 6% (5/80) YouTube, Down syn- group the sur- rate) the men Twitter, drome, cleft vey Nether- What- lip or cleft through lands, sApp, palate, con- social me- Poland, Snapchat, genital heart dia and Portu- and Insta- defects, or Facebook gal, gram spina bifida members Spain, (32) and the United King- dom Sylvia 2018; 4103 Age Website Patients, To under- May 2015 Not stat- 4103 Not stated Research prior- et al United range be- and web- caregivers, stand re- to May ed (100%) ity agenda in [32] States tween 18 based fo- clinicians, search topics 2017 (24 users en- the area of and 86 rums and other ad- that are of months) rolled in- mood disor- years; vocates most interest to the ders were suc- 78.21% to individu- web- cessfully iden- (3209/4103) als with based tified women, mood disor- communi- 19.01% ders ty (via (780/4103) the web- men site) https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 11 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Study Year; Sam- Age and Social Social media Purpose for Duration of Social Social Survey re- Outcomes of country ple, N sex media target group social media social me- media media an- sponse rate campaign in platform use dia use outreach alytics terms of re- (eg, (out- search-priority emails comes) gathering sent and posts made) Woj- 2019; 79 Not stat- Emails Individuals To identify June 2018 124 email Not stat- 79 (100%) Five priority cieszek Aus- ed with em- involved in research pri- to August invita- ed respon- research top- et al tralia, bedded stillbirth re- orities and 2018 (1.5 tions dents (64% ics were suc- [33] New link search, clini- explore po- months) were sent survey re- cessfully iden- Zealand, cal practice, tential sponse tified Africa, and advoca- methodolo- rate) Asia, cy gies to in- Europe, form care in North subsequent Ameri- pregnancies ca, following a South or stillbirth Central Ameri- ca, the United King- dom, and Ire- land a JM: juvenile myositis. b JA: juvenile arthritis. c cSLE: childhood-onset systemic lupus erythematosus. d AF: Arthritis Foundation. e LFA: Lupus Foundation of America. f OGAA: oesophago-gastric anastomosis audit. g RCT: randomized controlled trial. h CF: cystic fibrosis. i N/A: not applicable. during a set period, to which Twitter users respond via tweets Research Question 1: Social Media–Based Strategies and engage in discussions with each other. A web-based forum Used strategy led to the creation of a space where families and Table 2 shows the particular social media strategies used to researchers could share ideas on the priority-setting research enhance knowledge user engagement in research priority-setting project [31]. Informational videos were created and hosted on exercises grouped by platform. Of studies using email as their YouTube for people potentially interested in contributing primary social media platform [12,16,17,19,23,24,27,29,30,33] research priorities and were later posted on other platforms study teams emailed messages with embedded research [28,29]. For studies involving blogs, researchers posted stories prioritization survey links (including to researchers’ existing and internal updates related to the project to enhance interest mailing lists) and integrated tell a friend tool in emails to prompt in participation [28,29]. Studies also distributed e-newsletters recipients to invite colleagues to participate. Facebook-specific to existing networks, sending them monthly to promote methods to engage stakeholders included embedding survey participation [16-18,28,30]. In addition, several studies used links within Facebook posts, using the platform’s boosting posts on Reddit and websites and web-based connection with feature (ie, paid advertisements), and hiring a Facebook the research team through video-calling platforms (eg, Skype, advertising specialist. Informational Facebook pages were also WhatsApp, or FaceTime or video chat on Facebook Messenger) used and involved private and public question-and-answer pages to promote participation in priority-setting research [22,28,32]. and a resource center with links to relevant documents Table 3 summarizes techniques to disseminate actual web-based [5,17,14-18]. research priority-setting surveys through social media. Snowball Twitter-specific methods to engage participation included the recruitment, in which current participants’ friends and family use of hashtags within tweets and question-and-answer threads were approached for participation, was used [14,15,29,30]. for prospective participants [5,14,15,17-19,25,31]. In addition, Study teams also provided partner organizations with toolkits, Salmi et al [27], hosted live chats on Twitter, in which host templates, and promotional materials [5,12,13,15,17,23,29]. Twitter accounts tweet about predefined topics with questions Then, organizations could use these materials to support the https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 12 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al broadcasting of participation opportunities through social media. the participation opportunity to their networks via social media Individuals embedded in research prioritization exercises, such [12-16,19,23,30], including by providing such individuals with as steering group members, were additionally asked to promote preworded statements to tweet [19]. https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 13 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Table 2. Social media platform strategies. Social media platform and specific strategy Strategy description Representative quotes Studies provid- ing evidence Blogs Blog post stories Posting insightful stories related to • “Weekly blogs by the Shields et al the priority-setting research project chief executive officer [29] with the goal of promoting participa- profiling stories that are tion particularly moving or in- sightful, as well as internal news on the project.” Project news posting Posting internal news or updates relat- • “Some organisations or Dyson et al [14] ed to the priority-setting research individuals promoted the project study on Twitter or a blog.” Emails Embedded links Embedding survey links within emails • “Invitations to participate Allsop et al to promote participation in the priori- in the research and a link [12], Correll et ty-setting research project to the online survey (in the al [13]; Han et relevant language) were al [18], Kriss et sent via email. Those ap- al [21], Siefried proached to complete the et al [30], and survey were identified us- Wojcieszek et ing membership lists of al [33] the African Palliative Care Association (APCA).” Mailing list distribution The use of an existing mailing list to • “A link to an initial elec- Allsop et al promote participation in the priority- tronic survey (created us- [12], Correll et setting research project ing REDCap) was emailed al [13], Han et to members of Cure JMa, al [17], Siefried et al [30], and AFb and LFAc patient and Wojcieszek et family members and post- al [33] ed on their respective so- cial media sites. The rank- ing survey was emailed to the Cure JM, AF, and LFA listservs and a link was posted on their respec- tive social media sites.” Peer-to-peer dissemination Using a tell a friend tool, which in- • “Tell a Friend tool to in- Shields et al vites friends and colleagues to partic- vite friends or colleagues [29] ipate (peer-to-peer messaging) in the to participate, using e- priority-setting research project mail-based peer-to-peer messaging.” Reminders to participate Sending email reminders to individu- “We sent an initial e-mail on Eberman et al als about the opportunity to partici- Tuesday, January 30, 2017, at [16], Han et al pate in the priority-setting research 12:00 PM EST to potential [17], Kriss et al project participants and, on subsequent [21], and Woj- Tuesdays between 10:00 AM cieszek et al and 12:00 PM EST, sent 5 [33] weekly reminders to those who had not yet responded.” Reminders to finish survey Sending email reminders to individu- • “Reminder emails were Kriss et al [21] als who began the survey but only sent to non-responders and and Wojcieszek partially completed it to individuals who began et al [33] the survey but only partial- ly completed it.” Facebook https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 14 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Social media platform and specific strategy Strategy description Representative quotes Studies provid- ing evidence Embedded links to create Embedding simple and direct links • “Simple ‘How to Partici- Normansell et ease of participation within Facebook posts to external pate’ area that provided a al [5] and sites related to participation in the visual menu of the ways Shields et al priority-setting research project to get involved, with sim- [29] ple links to take partici- pants directly to the tools. Resource Centre page with access to links, docu- ments and reports to help participants deepen their knowledge of the techni- cal health challenges in the region.” Engagement of advertising Hiring a Facebook advertising strate- • “Tactica Interactive, a Dyson et al [15] strategists gist to plan the social media campaign digital media enterprise, used for promoting participation in was hired to broaden our the priority-setting research project sampling frame via a Facebook advertising strategy.” Providing participation ex- Creating a Facebook section that ex- • “Simple ‘How to Partici- Dyson et al [15] planation plains how to participate in the prior- pate’ area that provided a ity-setting research project visual menu of the ways to get involved, with sim- ple links to take partici- pants directly to the tools.” Use of private and public Creating both public and private “Announcement of the vEDSd Dyson et al, pages Facebook groups to allow private Collaborative survey was dis- [14], Shalhub et discussion among participants in the seminated via vEDS public and al [28], and Sin- priority-setting research project private social media pages.” clair et al [31] • “Secret Facebook groups, providing optimal securi- ty, were set up for newly recruited research-aware parents (RAPs) to commu- nicate privately and confi- dentially with each other and for the research team to generate questions and to interpret findings.” Providing project explana- Creating a section on Facebook page • “‘About our Project’ sec- Shields et al tion dedicated to explaining the priority- tion to provide partici- [29] setting research project and how par- pants with specific details ticipation could have an impact on how their participation would affect the North West LHINe decision- making and the second IHSPf.” Question and answer Using and moderating a web-based • “To encourage engage- Han et al [17] question-and-answer thread on Face- ment and re-engagement, and Sinclair et book to promote discussion topics the site moderator used al [31] regarding research participation online question and an- swer threads to keep pro- moting new discussion topics and emailed a weekly topic to all the registered users to encour- age them to come back.” https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 15 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Social media platform and specific strategy Strategy description Representative quotes Studies provid- ing evidence Resource center Creating a resource center with links • “‘Resource Centre’ page Shields et al to documents and reports on the with access to links, docu- [29] Facebook page ments and reports to help participants deepen their knowledge of the techni- cal health challenges in the region.” Private and secret groups Creating private Facebook groups to • “Announcement of the Shalhub et al allow private discussion among partic- vEDS Collaborative sur- [28] and Sin- ipants in the priority-setting research vey was disseminated via clair et al [31] project vEDS public and private social media pages” Newsletter Distribution through the re- Distributing newsletter to an existing • “To increase our reach and Han et al [18], searcher’s existing network network to promote participation in the likelihood of participa- Eberman et al the priority-setting research project tion, the NATAg market- [16], and ing team distributed our Siefried et al recruitment announcement [30] and link to volunteers via the ‘‘Range of Motion’’ newsletter to all registered attendees 5 and 6 weeks before the conference.” Frequent promotion Sending monthly newsletters to pro- • “Social media promotion Han et al [18] mote participation in the priority-set- through Facebook and and Han et al ting research project Twitter and monthly elec- [17] tronic newsletters from DiabetesSisters.” Web-based Idea sharing Creating forums through which fami- • “Moderated online group Russell et al forums lies and researchers could share their where families and re- [26] ideas related to the priority-setting searchers can share ideas research project related to research.” Reddit Posting of promotional mate- The use of Reddit as a social media • “Announcement of the Shalhub et al rial platform used to promote participa- vEDS Collaborative sur- [28] tion in the priority-setting research vey was disseminated via project vEDS public and private social media pages.” Twitter Hashtags Using Twitter hashtags to attract par- • “A bespoke Twitter ac- Rowbotham et ticipants and generate conversation count was set up @ques- al [25] among relevant stakeholders tionCF with the associated hashtag #questionCF. This was managed by members of the steering group and aimed to promote the on- line surveys and increase participation.” Question and answer Creating a post for inviting partici- “A bespoke Twitter account Rowbotham et pants to ask questions about the prior- was set up @questionCF with al [25] ity-setting research project, which the associated hashtag #ques- was moderated by steering group tionCF. This was managed by members members of the steering group and aimed to promote the on- line surveys and increase partic- ipation.” https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 16 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Social media platform and specific strategy Strategy description Representative quotes Studies provid- ing evidence Live chats Host Twitter accounts tweeting about • “The tweet chat hosts Salmi et al [27] predefined topics with questions over (@BTSMchat and a set period, during a scheduled chat, @HPMchat, respectively) to which Twitter users respond via tweeted the 4 predefined tweets and engage in discussions with topics (Table 1) with each other. Tweets from participants questions over a 60- are limited to 280 characters and par- minute period during a ticipants typically include an assigned scheduled chat. The hosts hashtag in their tweet, thus allowing alerted tweet chat partici- aggregation of the conversation. pants that the transcript of the chat would be subject to qualitative analysis and used to inform research. One tweet question was posted roughly every 15 minutes. Twitter users re- sponded to the questions and engaged in discus- sions with each other. On Twitter, responses are limited to 280 characters, and participants were in- structed to add the #BTSM or #HPM hashtag to aggregate the conversa- tion.” YouTube Welcome video Using YouTube to create a personal • “On the site’s home page, Shields et al welcome message on Facebook YouTube video personal [29] and Shal- pages, inviting users to participate in welcome message.” hub et al [28] the priority-setting research project Website Posting of promotional mate- Discussing the use of websites with • “We created an online and Allsop et al rial survey as a social media platform social media presence via [12], Dyson et used to promote participation in the a study website (Out- al, Normansell priority-setting research project comes in Child Health)...” et al [5], and • “We collaborated with or- Sylvia et al [32] ganisations interested in ARIh and patient engage- ment to advertise our re- search via websites and other channels...” Video call- Digital connection to pro- Discussing the use of video-calling • “Discussed details about Sinclair et al ing mote participation or internet-based face-to-face interac- the project and the par- [31] tions to promote participation in the ents’ research needs priority-setting research project through face-to-face social media platforms such as Skype, WhatsApp, Face- Time, or via video chat on Facebook Messenger to build trust.” a JM: juvenile myositis. b AF: Arthritis Foundation. c LFA: Lupus Foundation of America. d vEDS: vascular Ehlers-Danlos syndrome. e LHIN: local health integration network. f IHSP: integrated health services plan. g NATA: National Athletic Trainers’ Association. h ARI: acute respiratory infection. https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 17 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Table 3. Dissemination techniques. Category and specific technique Technique description Representative quotes Studies providing evidence Existing network Individual promo- Using individuals (eg, steering • “Those approached to complete the survey were Allsop et al [12], tion group members) within existing identified using membership lists of the African Correll et al [13], network to promote the survey Palliative Care Association (APCA).” Dyson et al, [14], to their networks via social • “A link to an initial electronic survey (created Eberman et al [16], media using REDCap) was emailed to members of Cure Healy et al [19], JM, AF and LFA patient and family listservs and Rowbotham et al posted on their respective social media sites.” [25], and Siefried • “We also asked individuals and organisations et al [30] within our existing networks to promote the study.” • “All Steering Group members were requested to use pre-worded Tweets, which included the link to the survey.” • “Invitations to participate in the research and a link to the online survey (in the relevant language) were sent via email. Those approached to com- plete the survey were identified using membership lists of the African Palliative Care Association (APCA).” Individual promo- Providing individuals (eg, • “All Steering Group members were requested to Dyson et al [15]; tion–prewording steering group members) within use pre-worded Tweets, which included the link Healy et al [19], existing network with preword- to the survey.” Rowbotham et al ed tweets to promote the re- • “A bespoke Twitter account was set up @ques- [25], and Morse et search participation opportunity tionCF with the associated hashtag #questionCF. al [23] on their Twitter accounts This was managed by members of the steering group and aimed to promote the online surveys and increase participation.” External organizations Social media col- External organizations posting • “A link to an initial electronic survey (created Correll et al [13], laboration on their respective social media using REDCap) was emailed to members of Cure Dyson et al [14], sites to promote research partic- JM, AF and LFA patient or family listservs and Han et al [17], ipation opportunity posted on their respective social media sites. The Normansell et al a b [5], Siefried et al ranking survey was emailed to the Cure JM , AF , [30], and Oesopha- and LFAc listservs and a link was posted on their go-Gastric Anasto- respective social media sites.” mosis Study Group • “Tactica Interactive, a digital media enterprise, [24] was hired to broaden our sampling frame via a Facebook advertising strategy.” • “We collaborated with organisations interested in ARId and patient engagement to advertise our research via websites and other channels...” • “A toolkit aimed at partnering organizations, which included a template for the invitation from the partner, a description of DiabetesSistersVoic- es, and promotional materials including flyers and postcards.” • “A survey consisting of 27 questions was devel- oped and distributed to surgeons from the OGAAe collaborative and advertised through specialty organizations’ social media accounts” Providing re- Providing external organiza- • “A toolkit aimed at partnering organizations, Han et al [17] sources tions with toolkits, templates, which included a template for the invitation from or promotional materials that the partner, a description of DiabetesSistersVoic- serve as guidelines for when es, and promotional materials including flyers organization broadcasts re- and postcards.” search participation opportunity https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 18 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al Category and specific technique Technique description Representative quotes Studies providing evidence Website External organizations posting • “We collaborated with organisations interested Allsop et al [12], on their website to promote re- in ARI and patient engagement to advertise our Dyson et al [14], search participation opportunity research via websites and other channels: The and Normansell et Alberta Centre for Child, Family & Community al [5] Research (now known as PolicyWise for Children and Families; a provincial organisation linking government, academia and the community in a focus on evidence-informed policy and prac- tice),22 TRanslating Emergency Knowledge for Kids (a national network of researchers and clin- icians invested in improving paediatric emergency care), 23 the Cochrane Consumer Network (an international network of healthcare consumers with an interest in evidence-based medicine) 24 and the Stollery Family Centered Care Network (a local children’s hospital-based network of pa- tients and families that provide input into patient care).” • “Online survey was posted on Survey Monkey and advertised through the Asthma UK Facebook and Twitter profiles and Cochrane Airways social media and website.” Snowball recruit- N/Af Disseminating research oppor- • “We used snowball sampling to recruit parents.” Dyson et al [14], ment tunity to participants’ social • “First, we focused on identifying and engaging Shields et al [29], networks to increase participa- recruitment targets with the potential for a high and Siefried et al tion and access to specific pop- yield of participants. We then expanded our scope [30] ulations through referrals and diffusion via social media.” • “Through Facebook, friend networks were encour- aged to invite each other to participate.” • “Tell a Friend tool to invite friends or colleagues to participate, using e-mail-based peer-to-peer messaging.” Boosts N/A Using the Facebook boosting • “Facebook posts were “boosted” monthly to Han et al [17] and feature to reach a wider audi- showcase the posts to more users.” Han et al [18] ence of possible participants • “Social media promotion through Facebook and Twitter and monthly e-newsletters from Diabetes- Sisters Facebook posts were boosted to showcase the posts to more users, centralizing it to female users in the United States with interests in dia- betes-relevant topics. DiabetesSisters posted on Facebook about the study and each month they “boosted” the post to increase the number of women who saw each post.” a JM: juvenile myositis. b AF: Arthitis Foundation. c LFA: Lupus Foundation of America. d ARI: acute respiratory infection. e OGAA: oesophago-gastric anastomosis audit. f N/A: not applicable. (2) number of survey responses within a set period Research Question 2: Measurement of Social Media [14,15,20,33], (3) proportion of surveys fully completed [21], Campaign Effectiveness and (4) number of visits to external survey administration sites Across all the 23 included studies, 21 (91%) claimed to be [14,15]. successful in conducting health research priority-setting Indirect metrics for campaign effectiveness were (1) audience exercises via social media–based methods. reach (ie, extent to which the survey sample was characteristic The direct effect of social media campaigns in securing of the target population [13-15], number of countries and local stakeholder participation in research priority-setting was communities represented in the sample [12,21], and number of assessed as the (1) number of survey responses [12,14,15,20,33], national associations and external organizations contacted [12]); https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 19 (page number not for citation purposes) XSL• FO RenderX
JOURNAL OF MEDICAL INTERNET RESEARCH Sivaratnam et al (2) campaign interaction (ie, number of clicks and impressions [17,22,26,28,29,31,33]; and using platform-specific boosts (eg, on posts [14,15,18,23,25,27], frequency of post views [26], Facebook boosts) [18,28]. This last strategy corresponded with volume of comments left by target stakeholders [26], number the highest recruitment and enrollment yields. of searches for campaign pages or downloads of resources Recommendations to address the limitation that social media [17,18], number of bespoke hashtag clicks or uses [25,27], and may prevent priority-setting participation by some groups were Google Analytics [18]); (3) participant satisfaction [17,28,31]; also suggested. These included implementing a hybrid of and (4) platform-specific methods (ie, number of website views electronic and nonelectronic survey dissemination methods to or likes [12,14,15,17-19,21,29], number of registered increase the representation of those without access to technology participants in an email chain or total number of delivered emails [12,17,18], developing web-based materials with simple [12,13,16,19,21,29,33], new followers and likes on Facebook navigation requirements to allow participation by individuals pages [14,15,17,18,26], and Twitter followers gained with less experience with the web [30], and intentionally [14,15,25]). tailoring social media strategies (eg, hashtags and boosts) for Research Question 3: Benefits, Limitations, and subpopulations of individuals whom study teams identify as Recommendations being underrepresented in research prioritization project data sets [13-15,17,21,25,32]. Benefits and Limitations of Social Media–Based Research Priority Setting Discussion All included studies (23/23, 100%) successfully gathered research priorities from key stakeholders and knowledge users Principal Findings using social media–based participant recruitment. Cited benefits Recognizing the importance of engaging key stakeholders in related to social media use were the capacity to elicit developing research agendas, we sought to use the extant participation from many knowledge users [14,15,17,18,27,31], literature to understand how social media might support research the speed at which research priorities were gathered, the sense priority-setting, how effectiveness of the method might be of community developed [17,31], peer-support offered to measured, and the method’s benefits and drawbacks. We show patients and family members [17,26,28,31] by social media that multiple social media strategies, which differ depending campaigns, and the capacity for dissemination of on the social media platform, have been used to promote health-promoting resources from health care professionals to participation in research priority setting—with strong success patients. A cited limitation of social media–based methods was rates in generating research agendas. Metrics to quantify the that web-only methods may limit the participation of individuals reach of these strategies included the number of impressions with limited or no access to technology, limited leisure time to on posts (eg, likes and other reactions) and the volume of engage with social media, and lower socioeconomic status and comments left by stakeholders. In addition to the benefits, of older age [12-15,17]. limitations of the use of social media in research priority-setting were also identified. Results from this review can guide methods Recommendations for Successful Social Media–Based for research priority-setting by patients, family caregivers, health Research Priority Setting care professionals, and other advocates and support the To improve the effectiveness of social media campaigns, authors engagement of these stakeholders in developing future research recommended focusing on the campaign’s graphic design agendas. components and style of messaging [26,31,32], creating opportunities for the target audience to personally interact with Social Media Platform Strategies and Dissemination the team leading the campaign [31], and using platform-specific Techniques paid advertisements (ie, also termed boosts) [18,28]. Social media–based strategies that incorporated platform-specific amplification (eg, Facebook boosts) and Design-related recommendations included implementing components that encouraged active engagement by participants illustrative and graphical sophistication, such as posts containing (eg, question-and-answer forums and shared resources) enabled words, text, and video [31] and establishing a tone and style of researchers to reach a broad audience of possible participants. graphics to create a consistent brand [26,32]. Messaging This finding agrees with the literature showing that Facebook recommendations were to post some content that is not directly [34] health promotion posts receiving a paid boost reached related to research, but of interest to community significantly more users. Hashtags were also used in the included members—especially if these posts are community-led studies to increase visibility of tweets, which aligns with [22,26,31]; to avoid phrases that do not foster inclusivity and previous research showing hashtag use as effective in may separate the researchers from the target audience (ie, us vs influencing social media conversations related to mental health them semantics); and to minimize scientific jargon in posts. [35] and in cases where the desired participant pool is small Interaction-related recommendations involved using moderators [36]. [17,26], especially community members to build the authenticity of the campaign [27]; initiating conversations with perspective Our finding that snowball sampling is used to disseminate participants to break the ice; using software that supports priority-setting surveys and expand participant pools aligns with face-to-face interaction between researchers and the community other research showing that options to like, tag, or share posts [31]; allowing peer-to-peer sharing (ie, providing community expand a social media campaign’s reach [37]. This method may members with capacity to invite colleagues to participate) be particularly advantageous in cases where the campaign target https://www.jmir.org/2022/2/e29821 J Med Internet Res 2022 | vol. 24 | iss. 2 | e29821 | p. 20 (page number not for citation purposes) XSL• FO RenderX
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