Collombon Eline H G M, Bolman Catherine A W, de Bruijn Gert-Jan, Peels Denise A, van der Velden Jessie M C, Lechner Lilian
Faculty of Psychology, Open Universiteit, Heerlen, Netherlands.
Department of Communication Studies, University of Antwerp, Antwerp, Belgium.
Digit Health. 2024 Sep 16;10:20552076241283359. doi: 10.1177/20552076241283359. eCollection 2024 Jan-Dec.
To investigate whether six combined computer- and mobile-based physical activity interventions differ regarding use, attrition, usability and appreciation among adults aged 50 years and older.
The interventions were studied in a randomized controlled trial. Participants were allocated to the computer-based Active Plus or I Move program including a mobile-based activity tracker, or ecological momentary intervention (EMI), or chatbot, or to a waiting list control group. Use and attrition were investigated via log data gathered within the intervention software. Appreciation was assessed via online evaluation questionnaires. ANOVAs and Chi-squares were performed to test for intervention differences on use, attrition and appreciation ( ≤ .05).
A total of 954 participants aged 50 years and older with varying health conditions were included. Attrition differed between interventions ( = 27.121, < .001) and was the highest in I Move including chatbot (58.4%) and lowest in I Move including activity tracker (33.0%). Appreciation differed between interventions ( < .001) and was the highest for interventions including activity tracker, followed by interventions including EMI and lowest for interventions including chatbot. Technical issues were primarily faced by EMI- and chatbot-participants. EMI-participants reported mainly that they received no or few text messages. Chatbot-participants reported mainly that the step count application was not working properly.
The integration of mobile-based activity trackers with computer-based interventions has high potential for increasing use and lowering attrition among adults aged 50 years and older. The process evaluation findings can guide future intervention optimization procedures, other eHealth and mHealth developers and practitioners.
调查六种基于计算机和移动设备的身体活动综合干预措施在50岁及以上成年人中的使用情况、损耗率、可用性和满意度是否存在差异。
在一项随机对照试验中对这些干预措施进行研究。参与者被分配到基于计算机的“积极加”或“我运动”项目，其中包括一个基于移动设备的活动追踪器，或生态瞬时干预（EMI），或聊天机器人，或等待列表对照组。通过干预软件中收集的日志数据来调查使用情况和损耗率。通过在线评估问卷来评估满意度。进行方差分析和卡方检验以测试干预措施在使用情况、损耗率和满意度方面的差异（≤0.05）。
总共纳入了954名50岁及以上、健康状况各异的参与者。不同干预措施的损耗率存在差异（=27.121，<0.001），在包含聊天机器人的“我运动”项目中损耗率最高（58.4%），在包含活动追踪器的“我运动”项目中最低（33.0%）。不同干预措施的满意度存在差异（<0.001），包含活动追踪器的干预措施满意度最高，其次是包含EMI的干预措施，包含聊天机器人的干预措施满意度最低。技术问题主要出现在EMI和聊天机器人组的参与者中。EMI组的参与者主要报告说他们没有收到或只收到很少的短信。聊天机器人组的参与者主要报告说步数计数应用程序无法正常运行。
将基于移动设备的活动追踪器与基于计算机的干预措施相结合，在增加50岁及以上成年人的使用和降低损耗率方面具有很大潜力。过程评估结果可为未来的干预优化程序、其他电子健康和移动健康开发者及从业者提供指导。
