在线招募青年进行移动健康研究。

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES mHealth Pub Date : 2021-01-01 DOI:10.21037/mhealth-20-64
Maria Zlotorzynska, José A Bauermeister, Jesse M Golinkoff, Willey Lin, Travis H Sanchez, Lisa Hightow-Weidman
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引用次数: 13

摘要

背景:社交网站和应用程序的出现为从事艾滋病毒感染风险研究的年轻男男性行为者(YMSM)提供了一个机会,他们可能无法通过面对面的招募工作接触到。本文重点介绍了美国国立卫生研究院青少年艾滋病干预试验网络iTech网络的经验教训、最佳做法和正在进行的招聘挑战。方法:招募了4项随机对照试验(rct),对生活在美国10个城市的YMSM进行了移动健康艾滋病毒预防干预。在Facebook、Instagram、Snapchat、Twitter和Grindr上购买了广告。点击横幅广告的用户被直接带到研究特定的资格筛选器,如果符合条件,则被要求提供联系信息,以便由各自研究站点的工作人员进行后续调查。广告和筛选指标(印象、点击、每次点击成本(CPC)、点击率(CTR)、筛选人数、合格人数、提供联系信息的人数和每个合格联系人的成本)在不同平台、研究和地理区域(如果有的话)之间进行比较。筛选指标也计算了亲自招聘的努力。结果:与Facebook广告相比,Grindr和Snapchat广告产生了最高的点击率。然而,这些广告的用户发起资格筛选的比例最低,最终Facebook广告产生的每个合格联系人的成本最低。Instagram广告产生的符合条件的联系人比例最高的是种族/少数民族和18岁以下的人。在不同地区同时进行的具有相同资格标准的研究中,观察到每个合格联系人的成本在地理上存在差异,这是由广告费用和筛选率以及合格率共同驱动的。尽管合格率较低,但与其他招聘工作相比,在线广告活动的合格联系人总数更高,除了P3之外的所有研究。P3广告招聘的每个合格联系人的成本最高,可能是因为该研究具有最严格的资格标准。结论:我们实施了一项成功的在线广告策略,将HIV感染高风险的YMSM招募到四个移动健康干预的随机对照试验中。该报告提供了一个框架,用于评估未来跨平台和地理区域的在线招聘工作数据,而不考虑数字营销领域不可避免的变化。
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Online recruitment of youth for mHealth studies.

Background: Social networking sites and apps have emerged as an opportunity to engage in research young men who have sex with men (YMSM) at risk of HIV infection who may not be otherwise reached by in-person recruitment efforts. This paper highlights lessons learned, best practices and on-going recruitment challenges in the iTech network of the NIH Adolescent Trials Network for HIV Interventions.

Methods: Recruitment was conducted for four randomized controlled trials (RCTs) of mHealth HIV prevention interventions for YMSM living in 10 US cities. Advertising was purchased on Facebook, Instagram, Snapchat, Twitter and Grindr. Users who clicked on banner ads were taken directly to a study-specific eligibility screener and if eligible, were asked to provide contact information for follow-up by respective study site staff. Ad and screening metrics (impressions, clicks, cost per click (CPC), click-through rate (CTR), number screened, number eligible, number who provided contact information and cost per eligible contact) were compared across platforms, studies and geographic areas (where available). Screening metrics were also calculated for in-person recruitment efforts.

Results: Grindr and Snapchat ads produced the highest CTRs as compared to Facebook ads. However, these ads had the lowest proportions of users who initiated eligibility screeners and ultimately Facebook ads yielded the lowest cost per eligible contact across studies. Instagram ads yielded the highest proportions of eligible contacts who were racial/ethnic minorities and under the age of 18. Geographic variability in cost per eligible contact was observed for studies with identical eligibility criteria running concurrently in different regions, driven by both advertising costs and the screening and eligibility rates. Despite lower eligibility rates, the total numbers of eligible contacts were higher for online advertising campaigns, as compared to other recruitment efforts, for all studies except P3. Ads recruiting for P3 had the highest cost per eligible contact, likely due to this study having the most stringent eligibility criteria of the studies described.

Conclusions: We implemented a successful online advertising strategy to recruit YMSM at high risk for HIV infection into four RCTs of mHealth interventions. This report provides a framework for evaluation of data from future online recruitment efforts across platforms and geographic areas, regardless of inevitable changes in the digital marketing space.

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