Suppr超能文献

用户对 mHealth 方法支持男男性行为者进行 HIV 自我检测和链接到 HIV 预防或护理服务的偏好。

User Preferences for an mHealth Approach to Support HIV Self-Testing and Linkage to HIV Prevention or Care Services for MSM in China.

机构信息

School of Public Health at Anhui Medical University, University of Hefei, China.

Hefei Youth Social Organization, Hefei, China.

出版信息

AIDS Educ Prev. 2021 Dec;33(6):534-550. doi: 10.1521/aeap.2021.33.6.534.

Abstract

This research qualitatively explored user preferences for an app-based mHealth approach to support HIV self-testing and linkage to HIV prevention or care services developed for men who have sex with men (MSM) in China. We conducted 12 online focus group discussions with MSM participants (N = 48) about their preferences for using an app to meet their HIV self-testing and service linkage needs. Data were examined using thematic analysis. Participants specified four domains to align program delivery with their preferences for app-based intervention: (1) expanding HIV prevention/antiretroviral therapy concepts beyond basic knowledge; (2) enhancing the style and presentation of app-based messages; (3) incorporating interactive and dynamic app-engagement features; and (4) creating a "one station" app that covers the continuum of HIV services. Given the changing landscapes of HIV knowledge and community/user preferences for app-based interaction, findings underscore how engagement with end-user participants is essential to optimize mHealth interventions for HIV.

摘要

本研究定性探讨了用户对基于应用程序的移动医疗方法的偏好,该方法旨在支持针对中国男男性行为者 (MSM) 的 HIV 自我检测以及与 HIV 预防或护理服务的联系。我们对 48 名 MSM 参与者进行了 12 次在线焦点小组讨论,以了解他们对使用应用程序满足 HIV 自我检测和服务联系需求的偏好。使用主题分析方法检查数据。参与者指定了四个领域,以调整项目交付,以符合他们对基于应用程序的干预的偏好:(1) 将 HIV 预防/抗逆转录病毒疗法的概念扩展到基础知识之外;(2) 增强基于应用程序的消息的风格和呈现方式;(3) 纳入互动和动态的应用程序参与功能;(4) 创建一个“一站式”应用程序,涵盖 HIV 服务的连续体。鉴于 HIV 知识和社区/用户对基于应用程序的交互的偏好不断变化,研究结果强调了与最终用户参与者接触的重要性,这对于优化 HIV 的移动医疗干预措施至关重要。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验