SynthesisJournal of medical Internet research2017
The Use of Facebook in Recruiting Participants for Health Research Purposes: A Systematic Review.
Synthesis in Journal of medical Internet research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 402 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
402 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Barriers and facilitators for recruiting and retaining male participants into longitudinal health research: a systematic review.BMC medical research methodology · 2024Pooled it
- Strategies for Implementing Occupational eMental Health Interventions: Scoping Review.Journal of medical Internet research · 2022Guideline
- Use of Facebook, Instagram, and Twitter for recruiting healthy participants in nutrition-, physical activity-, or obesity-related studies: a systematic review.The American journal of clinical nutrition · 2022Pooled it
- Recruitment Source and Participant Retention in a Digital HIV Prevention Intervention for Young Black and Latino Men and Transgender Women: Secondary Analysis of the HealthMpowerment 2.0 Randomized Controlled Trial.JMIR formative research · 2026Trial
- Digital Cognitive Behavioural Therapy for Insomnia Compared to Sleep Health Education in Older Adults With Mild Cognitive Impairment and Insomnia: A Feasibility Randomised Controlled Trial.Journal of sleep research · 2026Trial
- Trial
- An evaluation of paid social media advertising and traditional advertising for addiction research recruitment.Drug and alcohol dependence · 2025Trial
- Time restricted eating and exercise training before and during pregnancy for people with increased risk of gestational diabetes: single centre randomised controlled trial (BEFORE THE BEGINNING).BMJ (Clinical research ed.) · 2025Trial
- Effects of self-monitoring physical activity with wearable activity trackers on perceived joint function and health-related quality of life in people with hip and knee osteoarthritis: a secondary analysis of a cluster-randomised clinical trial.BMC musculoskeletal disorders · 2025Trial
- ARFID Parent Training Protocol ("ARFID-PTP"): Results of a Randomized Pilot Trial Evaluating a Brief, Parent-Training Program for Avoidant/Restrictive Food Intake Disorder.The International journal of eating disorders · 2024Trial
- Digital Interventions to Modify Skin Cancer Risk Behaviors in a National Sample of Young Adults: Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Email-Based Recruitment Into the Health eHeart Study: Cohort Analysis of Invited Eligible Patients.Journal of medical Internet research · 2023Trial
- Enhancing Efficiency and Reach Using Facebook to Recruit Breast Cancer Survivors for a Telephone-Based Supportive Care Randomized Trial During the COVID-19 Pandemic.JCO oncology practice · 2023Trial
- Recruitment into antibody prevalence studies: a randomized trial of postcards vs. letters as invitations.BMC medical research methodology · 2023Trial
- Trial
- Effects of Vaping Prevention Messages on Electronic Vapor Product Beliefs, Perceived Harms, and Behavioral Intentions among Young Adults: A Randomized Controlled Trial.International journal of environmental research and public health · 2022Trial
- Trial
- Walking together: exploring australian parent experiences of walking in nature with their preschool children with autism using a bioecological lens.International journal of qualitative studies on health and well-being · 2026Article
- Motives and Risk Perceptions Among Young Adults Engaged in Frequent Vaping and Dual Cannabis Use: Implications for Prevention and Intervention.Journal of psychoactive drugs · 2026Article
- Social Media Use Among People Living with Chronic Pain: Cross-Sectional Study of Associated Factors.Journal of medical Internet research · 2026Article
342 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSocial media is a popular online tool that allows users to communicate and exchange information. It allows digital content such as pictures, videos and websites to be shared, discussed, republished and endorsed by its users, their friends and businesses. Adverts can be posted and promoted to specific target audiences by demographics such as region, age or gender. Recruiting for health research is complex with strict requirement criteria imposed on the participants. Traditional research recruitment relies on flyers, newspaper adverts, radio and television broadcasts, letters, emails, website listings, and word of mouth. These methods are potentially poor at recruiting hard to reach demographics, can be slow and expensive. Recruitment via social media, in particular Facebook, may be faster and cheaper.
objectiveThe aim of this study was to systematically review the literature regarding the current use and success of Facebook to recruit participants for health research purposes.
methodsA literature review was completed in March 2017 in the English language using MEDLINE, EMBASE, Web of Science, PubMed, PsycInfo, Google Scholar, and a hand search of article references. Papers from the past 12 years were included and number of participants, recruitment period, number of impressions, cost per click or participant, and conversion rate extracted.
resultsA total of 35 studies were identified from the United States (n=22), Australia (n=9), Canada (n=2), Japan (n=1), and Germany (n=1) and appraised using the Critical Appraisal Skills Programme (CASP) checklist. All focused on the feasibility of recruitment via Facebook, with some (n=10) also testing interventions, such as smoking cessation and depression reduction. Most recruited young age groups (16-24 years), with the remaining targeting specific demographics, for example, military veterans. Information from the 35 studies was analyzed with median values being 264 recruited participants, a 3-month recruitment period, 3.3 million impressions, cost per click of US $0.51, conversion rate of 4% (range 0.06-29.50), eligibility of 61% (range 17-100), and cost per participant of US $14.41. The studies showed success in penetrating hard to reach populations, finding the results representative of their control or comparison demographic, except for an over representation of young white women.
conclusionsThere is growing evidence to suggest that Facebook is a useful recruitment tool and its use, therefore, should be considered when implementing future health research. When compared with traditional recruitment methods (print, radio, television, and email), benefits include reduced costs, shorter recruitment periods, better representation, and improved participant selection in young and hard to reach demographics. It however, remains limited by Internet access and the over representation of young white women. Future studies should recruit across all ages and explore recruitment via other forms of social media.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.