More than just tracking time: Complex measures of user engagement with an internet-based health promotion intervention.
More than just tracking time: Complex measures of user engagement with an internet-based health promotion intervention.
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不仅仅是跟踪时间：通过基于Internet的健康促进干预措施进行用户参与度的复杂度量。
DOI：
10.1016/j.jbi.2015.12.015
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发表时间：
2016-02
影响因子：
4.5
通讯作者：
Hightow-Weidman LB
中科院分区：
文献类型：
--
作者：
Baltierra NB;Muessig KE;Pike EC;LeGrand S;Bull SS;Hightow-Weidman LB
基于互联网的健康干预措施有所增加，但没有同时关注衡量用户参与及其对结果的影响的新方法。我们描述了当前基于互联网的健康干预的用户跟踪方法，并根据healthMpowerment.org（HMP）的设计和试点测试提供改进建议。HMP是一个多成分的在线干预措施，针对与男性发生性关系的年轻黑人男性和变性女性（YBMSM/TW），以减少危险的性行为，促进健康生活和建立社会支持。干预是非指令性的，包含互动功能，并利用基于积分的奖励系统。十五名青少年男男性接触者（20至30岁）参加了为期一个月的试验性研究，以测试HMP的可用性和有效性。使用定制的数据采集系统跟踪干预的参与情况，并使用Google Analytics进行验证。使用率是以花费的时间（总时间和各部分时间）和获得的分数来衡量的。在HMP上花费的平均总时间为每人5小时（范围0-13）。花费的总时间与获得的总积分和整体网站满意度相关。衡量对基于互联网的干预措施的参与对于确定有效性至关重要。多种跟踪方法有助于获得更全面的用户配置文件。结果强调了捕捉用户活动的措施的局限性和参与概念的难以捉摸。
There has been a rise in internet-based health interventions without a concomitant focus on new methods to measure user engagement and its effect on outcomes. We describe current user tracking methods for internet-based health interventions and offer suggestions for improvement based on the design and pilot testing of healthMpowerment.org (HMP). HMP is a multi-component online intervention for young Black men and transgender women who have sex with men (YBMSM/TW) to reduce risky sexual behaviors, promote healthy living and build social support. The intervention is non-directive, incorporates interactive features, and utilizes a point-based reward system. Fifteen YBMSM/TW (age 20 to 30) participated in a one-month pilot study to test the usability and efficacy of HMP. Engagement with the intervention was tracked using a customized data capture system and validated with Google Analytics. Usage was measured in time spent (total and across sections) and points earned. Average total time spent on HMP was five hours per person (range 0-13). Total time spent was correlated with total points earned and overall site satisfaction. Measuring engagement in internet-based interventions is crucial to determining efficacy. Multiple methods of tracking helped derive more comprehensive user profiles. Results highlighted the limitations of measures to capture user activity and the elusiveness of the concept of engagement.