利用社交媒体招募不同样本的参与者进行移动健康(mHealth)干预以增加身体活动:探索性研究。

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Laura Pathak, Rosa Hernandez-Ramos, Karina Rosales, Jose Miramontes-Gomez, Faviola Garcia, Vivian Yip, Suchitra Sudarshan, Anupama Gunshekar Cemballi, Courtney Lyles, Adrian Aguilera
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引用次数: 0

摘要

背景:在临床研究中招募具有人口统计学多样性的样本往往具有挑战性,在COVID-19大流行期间,当传统的面对面招募方法无法实施时,更是如此。社交媒体平台为临床试验(包括测试数字健康干预措施)招募不同样本的参与者提供了另一种方法。这种方法允许更快的招聘过程,而不受传统面对面招聘方法的物理限制。目的:本研究旨在详细介绍用于招募“糖尿病和心理健康适应性通知跟踪和评估”(DIAMANTE)参与者的在线和社交媒体活动,这是一项随机对照试验,测试基于智能手机的干预(一种使用机器学习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。在描述招聘过程时,我们试图通过针对不同社区的在线和社交媒体广告,为研究界提供招聘方面的见解。方法:本研究试图通过社交媒体,包括Craigslist和Facebook (Meta)上的付费广告,在美国招募人口统计学上不同的个体。对于DIAMANTE项目的招聘,我们使用以用户为中心的设计方法创建了18个角色,这些角色映射到人口的目标人口统计数据中。根据县级人口统计数据和糖尿病患病率数据,我们在78个城市的Craigslist和Facebook上投放了针对性的英语和西班牙语广告,目标人群年龄在18-75岁之间,被诊断患有糖尿病,并有抑郁症状记录。结果:共有1379人完成了这项研究的初步筛选调查。其中,Facebook上的71名受访者和Craigslist上的508名受访者有兴趣参加我们的研究。最终,来自Facebook的58名合格受访者中的26名(45%)和来自Craigslist的235名合格受访者中的50名(21.3%)被招募到随机对照试验中。总的来说,这两个平台在招募说西班牙语的人方面表现不佳,Facebook广告占0个,Craigslist广告占4个(5.3%)。当涉及到说英语的人时,Craigslist被证明是比Facebook表现更好的平台,无论是在覆盖面(579比71)和成本效益(每个招募参与者的平均成本67.61美元对80.16美元)方面。虽然Craigslist的广告覆盖了更多的人,导致了比Facebook广告更完整的筛选调查,但与Facebook相比,Craigslist的不合格和不完整注册人数更多,导致转化率相对较低(9.4%比36.6%)。重要的是,通过Craigslist招募的参与者比从Facebook招募的参与者更具民族和种族多样性。结论:本研究的结果表明,使用社交媒体和在线广告可以招募不同的样本集。然而,尽管有针对性的招聘努力,但事实证明,在社交媒体上招聘说西班牙语的人尤其具有挑战性,而且成本高昂。需要进一步的研究来确定系统的、在线的招募边缘化社区的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using Social Media to Recruit a Diverse Sample of Participants for a Mobile Health (mHealth) Intervention to Increase Physical Activity: Exploratory Study.

Background: 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.

Objective: 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.

Methods: 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.

Results: 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.

Conclusions: 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.

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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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