技术驱动的方法,收集青年人的定性数据,为艾滋病毒预防和护理干预措施提供信息。

IF 2.2 Q2 HEALTH CARE SCIENCES & SERVICES mHealth Pub Date : 2021-04-20 eCollection Date: 2021-01-01 DOI:10.21037/mhealth-2020-5
Kristi E Gamarel, Rob Stephenson, Lisa Hightow-Weidman
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引用次数: 3

摘要

利用技术作为提供艾滋病毒预防干预措施的平台,为有针对性和及时的预防和治疗信息接触艾滋病毒风险人群提供了一个有效的机会。技术提供的艾滋病毒干预措施越来越受欢迎,包括使用手机短信和手机应用程序或通过远程医疗平台提供预防信息的干预措施。以社区为中心的干预发展方法有助于解决科学与实践之间的潜在差距,确保干预措施是适当的,并受社区需求和愿望的驱动。获得社区投入的常见方法依赖于通过面对面焦点小组讨论、深入访谈和青年咨询委员会收集的定性数据。虽然这些行之有效的方法具有优势,但青年的参与可能会受到结构性障碍的限制(例如缺乏交通、时间不方便),以及由于污名化或对群体环境的不适而不愿参与。这导致了许多限制面对面定性数据收集质量的偏见,即社会期望偏见或招聘和出勤率差异造成的选择偏见。随着越来越多的艾滋病毒预防和护理干预措施在网上成功实施,青年参与虚拟空间的创新方法也可以应用于整个干预寿命,以提高形成性数据的质量和有效性。在本文中,我们描述了一系列可以通过在线平台收集定性数据的定性数据收集技术,并概述了它们相对于面对面FGD或IDI的相对优势。我们使用四个案例研究来强调方法和发现,并为研究人员提供建议。
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Technology-driven methodologies to collect qualitative data among youth to inform HIV prevention and care interventions.

The use of technology as a platform for delivering HIV prevention interventions provides an efficient opportunity to reach those at risk for HIV with targeted and timely prevention and treatment messages. Technology-delivered HIV interventions are becoming increasingly popular and include interventions that use mobile text messaging and mobile phone apps or deliver prevention messages through telehealth platforms. Community-centered approaches of intervention development can help address the potential gap between science and practice by ensuring that interventions are appropriate and driven by community needs and desires. Common approaches to gaining community input rely on qualitative data gathered through in-person focus group discussions (FGD), in-depth interviews (IDI) and youth advisory boards (YABs). While these proven methodologies have strengths, youth engagement can be limited by structural barriers (e.g., lack of transportation, inconvenient timing) and reluctance to participate due to stigma or discomfort with group settings. This results in a number of biases that limit the quality of face-to-face qualitative data collection, i.e., social desirability bias or selection biases created by differential likelihood of recruitment and attendance. As an increasing number of HIV prevention and care interventions are successfully delivered online, innovative approaches to youth engagement in virtual spaces can also be applied across the intervention lifespan to increase the quality and validity of formative data. In this paper, we describe a range of qualitative data collection techniques that can be used via online platforms to collect qualitative data, and we outline their relative advantages over face-to-face FGD or IDI. We use four case studies to highlight the methodologies and findings and provide recommendations for researchers moving forward.

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