Hightow-Weidman Lisa B, Horvath Keith J, Scott Hyman, Hill-Rorie Jonathan, Bauermeister Jose A
Institute of Global Health and Infectious Diseases, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Department of Psychology, San Diego State University, San Diego, CA, USA.
Mhealth. 2021 Apr 20;7:23. doi: 10.21037/mhealth-20-48. eCollection 2021.
Youth participating in mobile health (mHealth) intervention trials often engage with the technologies [e.g., applications (app) or mobile-optimized websites] only partially, often prematurely discontinuing use altogether. Limited engagement can impact the interventions effect on behavior change and compromise researchers' ability to test and estimate the true efficacy of their interventions. While mHealth interventions have been shown to be feasible and acceptable to youth, across diverse health conditions, strategies to increase engagement have been less well studied. Specifically, within HIV prevention and care mHealth interventions, there is not consensus as to which components represent the "key ingredients" to support maximal engagement of youth. Further, successful intervention evaluation requires the ability to systematically track users' engagement with intervention components (i.e., paradata) to evaluate its effects on behavior change.
As part of the Adolescent Medicine Trials Network UNC/Emory Center for Innovative Technology (iTech) portfolio of HIV/AIDS Interventions, we present diverse strategies used across five mHealth protocols seeking to promote youth engagement, track and measure engagement through paradata, and incorporate these components into mHealth intervention evaluations.
We describe the importance of defining and measuring engagement using case studies from iTech to illustrate how different research teams select mHealth features to promote youth engagement over time, taking into account features embedded in the technology design, key mechanisms of change and trial outcomes (e.g., HIV testing, pre-exposure prophylaxis uptake and adherence, HIV treatment adherence). Finally, we discuss how the research teams plan to evaluate engagement's role on their intervention's outcomes.
Based on this synthesis, we discuss strategies to enhance mHealth engagement during intervention development and design, ensure its monitoring and reporting throughout the trial, and evaluate its impact on trial outcomes.
参与移动健康(mHealth)干预试验的青少年往往只是部分地使用这些技术[如应用程序(app)或针对移动设备优化的网站],而且常常过早完全停止使用。参与度有限会影响干预对行为改变的效果,并损害研究人员测试和评估其干预措施真正疗效的能力。虽然mHealth干预已被证明对青少年是可行且可接受的,适用于各种健康状况,但提高参与度的策略研究较少。具体而言,在HIV预防和护理的mHealth干预中,对于哪些组成部分是支持青少年最大程度参与的“关键要素”尚无共识。此外,成功的干预评估需要有能力系统地跟踪用户与干预组成部分的互动(即辅助数据),以评估其对行为改变的影响。
作为青少年医学试验网络北卡罗来纳大学/埃默里大学创新技术中心(iTech)艾滋病毒/艾滋病干预项目组合的一部分,我们展示了在五个mHealth方案中使用的各种策略,这些策略旨在促进青少年参与,通过辅助数据跟踪和衡量参与度,并将这些组成部分纳入mHealth干预评估。
我们通过iTech的案例研究描述了定义和衡量参与度的重要性,以说明不同的研究团队如何随着时间的推移选择mHealth功能来促进青少年参与,同时考虑技术设计中嵌入的功能、关键变化机制和试验结果(如HIV检测、暴露前预防措施的采用和依从性、HIV治疗依从性)。最后,我们讨论了研究团队计划如何评估参与度对其干预结果的作用。
基于这一综述,我们讨论了在干预开发和设计过程中提高mHealth参与度的策略,确保在整个试验过程中对其进行监测和报告,并评估其对试验结果的影响。