Pathak Laura, Hernandez-Ramos Rosa, Rosales Karina, Miramontes-Gomez Jose, Garcia Faviola, Yip Vivian, Sudarshan Suchitra, Cemballi Anupama Gunshekar, Lyles Courtney, Aguilera Adrian
School of Social Welfare, University of California, Berkeley, 120 Haviland Hall, Berkeley, CA, 94720, United States, 1 510-703-5496.
Department of Psychological Science, University of California, Irvine, Irvine, CA, United States.
JMIR Mhealth Uhealth. 2025 Apr 28;13:e56329. doi: 10.2196/56329.
Recruitment of demographically diverse samples in clinical research is often challenging and even more so during the COVID-19 pandemic when traditional in-person recruitment methods could not be implemented. Social media platforms offer an alternative approach for recruiting diverse samples of participants for clinical trials, including those testing digital health interventions. This approach allowed for a quicker recruitment process without the physical constraints associated with traditional in-person methods.
This study aimed to detail the online and social media campaigns used to recruit participants for "Diabetes and Mental Health Adaptive Notification Tracking and Evaluation" (DIAMANTE), a randomized controlled trial testing a smartphone-based intervention (a text messaging system that uses machine learning to personalize content) to increase physical activity for patients with diabetes and depression. In describing the recruitment process, we seek to offer insights to the research community on recruitment through online and social media advertisements for diverse communities.
This study sought to recruit demographically diverse individuals in the United States through social media, including paid advertisements on Craigslist and Facebook (Meta). For the DIAMANTE project recruitment, we created 18 personas that mapped into the population's target demographics using a user-centered design methodology. We deployed targeted English and Spanish ads on Craigslist and Facebook in 78 cities based on county-level demographics and diabetes prevalence data to target diverse individuals aged 18-75 years old, who had been diagnosed with diabetes and had documented depressive symptoms.
A total of 1379 individuals completed the study's initial screening survey. Of those, 71 respondents on Facebook and 508 on Craigslist were interested in enrolling in our study. In total, 26 out of 58 (45%) eligible respondents from Facebook and 50 out of 235 (21.3%) eligible respondents from Craigslist were eventually recruited in the randomized controlled trial. In all, both platforms showed poor performance in recruiting Spanish speakers, with Facebook advertisements accounting for 0 and Craigslist for 4 (5.3%) of such participants. When it came to English speakers, Craigslist proved to be the better performing platform compared to Facebook, both in terms of reach (579 vs 71) and cost-effectiveness (US $67.61 in average cost per recruited participant vs US $80.16). While Craigslist ads reached more people, resulting in more completed screening surveys than Facebook ads, there was a higher number of ineligible and incomplete enrollment from Craigslist compared with Facebook, leading to a relatively lower conversion rate (9.4% vs 36.6%). Importantly, participants recruited through Craigslist were more ethnically and racially diverse than those recruited from Facebook.
Results from this study revealed that it is possible to recruit diverse sample sets using social media and online advertisements. However, despite targeted recruitment efforts, social media recruitment of Spanish speakers proved especially challenging and costly. Further research is needed to determine systematic, online methods for recruiting marginalized communities.
在临床研究中招募人口统计学上多样化的样本往往具有挑战性,在新冠疫情期间更是如此,因为传统的面对面招募方法无法实施。社交媒体平台为招募临床试验的多样化参与者样本提供了一种替代方法,包括那些测试数字健康干预措施的试验。这种方法允许更快的招募过程,而没有与传统面对面方法相关的物理限制。
本研究旨在详细介绍用于招募“糖尿病与心理健康适应性通知跟踪与评估”(DIAMANTE)参与者的在线和社交媒体活动,DIAMANTE是一项随机对照试验,测试一种基于智能手机的干预措施(一种使用机器学习来个性化内容的短信系统),以增加糖尿病和抑郁症患者的身体活动。在描述招募过程时,我们试图为研究界提供关于通过在线和社交媒体广告为不同社区招募人员的见解。
本研究试图通过社交媒体在美国招募人口统计学上多样化的个体,包括在克雷格列表网(Craigslist)和脸书(Meta)上投放付费广告。对于DIAMANTE项目的招募,我们使用以用户为中心的设计方法创建了18个人物角色,这些角色映射到目标人群的人口统计学特征。我们根据县级人口统计学和糖尿病患病率数据,在78个城市的克雷格列表网和脸书上投放有针对性的英语和西班牙语广告,目标是年龄在18至75岁之间、被诊断患有糖尿病且有抑郁症状记录的不同个体。
共有1379人完成了研究的初始筛查调查。其中,脸书上有71名受访者,克雷格列表网上有508名受访者有兴趣参加我们的研究。在随机对照试验中,最终从脸书的58名合格受访者中招募了26名(45%),从克雷格列表网的235名合格受访者中招募了50名(21.3%)。总体而言,两个平台在招募说西班牙语的人方面表现不佳,脸书广告招募的此类参与者为0,克雷格列表网为4名(5.3%)。在说英语者方面,就覆盖面(579人对71人)和成本效益(每名招募参与者的平均成本为67.61美元对80.16美元)而言,克雷格列表网被证明是比脸书表现更好的平台。虽然克雷格列表网的广告覆盖了更多人,导致完成的筛查调查比脸书广告更多,但与脸书相比,克雷格列表网不符合资格和未完成注册的人数更多,导致转化率相对较低(9.4%对36.6%)。重要的是,通过克雷格列表网招募的参与者在种族和民族上比从脸书招募的参与者更加多样化。
本研究结果表明,使用社交媒体和在线广告有可能招募多样化的样本集。然而,尽管进行了有针对性的招募努力,但社交媒体招募说西班牙语的人被证明特别具有挑战性且成本高昂。需要进一步研究以确定招募边缘化社区的系统在线方法。