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Understanding Usage of a Hybrid Website and Smartphone App for Weight Management: A Mixed-Methods Study

机译:了解混合网站和智能手机应用程序在体重管理中的用法:混合方法研究

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Background: Advancements in mobile phone technology offer huge potential for enhancing the timely delivery of health behavior change interventions. The development of smartphone-based health interventions (apps) is a rapidly growing field of research, yet there have been few longitudinal examinations of how people experience and use these apps within their day-to-day routines, particularly within the context of a hybrid Web- and app-based intervention.Objective: This study used an in-depth mixed-methods design to examine individual variation in (1) impact on self-reported goal engagement (ie, motivation, self-efficacy, awareness, effort, achievement) of access to a weight management app (POWeR Tracker) when provided alongside a Web-based weight management intervention (POWeR) and (2) usage and views of POWeR Tracker.Methods: Thirteen adults were provided access to POWeR and were monitored over a 4-week period. Access to POWeR Tracker was provided in 2 alternate weeks (ie, weeks 1 and 3 or weeks 2 and 4). Participants’ goal engagement was measured daily via self-report. Mixed effects models were used to examine change in goal engagement between the weeks when POWeR Tracker was and was not available and whether the extent of change in goal engagement varied between individual participants. Usage of POWeR and POWeR Tracker was automatically recorded for each participant. Telephone interviews were conducted and analyzed using inductive thematic analysis to further explore participants’ experiences using POWeR and POWeR Tracker.Results: Access to POWeR Tracker was associated with a significant increase in participants’ awareness of their eating (β1=0.31, P=.04) and physical activity goals (β1=0.28, P=.03). The level of increase varied between individual participants. Usage data showed that participants used the POWeR website for similar amounts of time during the weeks when POWeR Tracker was (mean 29 minutes, SD 31 minutes) and was not available (mean 27 minutes, SD 33 minutes). POWeR Tracker was mostly accessed in short bursts (mean 3 minutes, SD 2 minutes) during convenient moments or moments when participants deemed the intervention content most relevant. The qualitative data indicated that nearly all participants agreed that it was more convenient to access information on-the-go via their mobiles compared to a computer. However, participants varied in their views and usage of the Web- versus app-based components and the informational versus tracking tools provided by POWeR Tracker.Conclusions: This study provides evidence that smartphones have the potential to improve individuals’ engagement with their health-related goals when used as a supplement to an existing online intervention. The perceived convenience of mobile access to information does not appear to deter use of Web-based interventions or strengthen the impact of app access on goal engagement. A mixed-methods design enabled exploration of individual variation in daily usage of the app-based tools.
机译:背景:移动电话技术的进步为增强及时提供健康行为改变干预措施提供了巨大的潜力。基于智能手机的健康干预措施(apps)的开发是一个快速发展的研究领域,但很少有人纵向检查人们在日常工作中如何体验和使用这些app,特别是在混合动力的背景下目的:本研究使用深入的混合方法设计来检查以下方面的个体差异:(1)对自我报告的目标参与的影响(即动机,自我效能,意识,努力,成就) )以及与基于Web的体重管理干预措施(POWeR)一起提供的体重管理应用程序(POWeR Tracker)的访问权限;以及(2)POWeR Tracker的用法和视图。方法:向13位成年人提供了POWeR的访问权限,并通过4周。每隔2周(即第1和第3周或第2和第4周)就可以访问POWeR Tracker。每天通过自我报告评估参与者的目标参与度。使用混合效应模型检查了POWeR Tracker可用和不可用的两周之间的目标参与度变化,以及各个参与者之间目标参与度变化的程度是否有所不同。自动记录每个参与者的POWeR和POWeR Tracker的使用情况。通过归纳主题分析进行电话访谈并进行分析,以进一步使用POWeR和POWeR Tracker探究参与者的体验。结果:使用POWeR Tracker可以显着增加参与者的饮食意识(β1= 0.31,P = .04)。 )和身体活动目标(β1= 0.28,P = .03)。增加水平因个人参与者而异。使用数据显示,参与者在POWeR Tracker处于使用状态(平均29分钟,SD 31分钟)且不可用(平均27分钟,SD 33分钟)的几周内使用了POWeR网站类似的时间。在方便的时候或参与者认为干预内容最相关时,POWeR Tracker通常会短暂访问(平均3分钟,SD 2分钟)。定性数据表明,几乎所有参与者都同意,与计算机相比,通过移动设备随时随地访问信息更为方便。但是,参与者对基于Web的应用程序与基于应用程序的组件以及POWeR Tracker提供的信息性与跟踪工具的看法和用法各不相同。结论:本研究提供了证据,表明智能手机具有改善个人与健康相关的参与度的潜力目标用作现有在线干预的补充。移动访问信息的便利性似乎并未阻止使用基于Web的干预措施或增强应用程序访问对目标参与的影响。混合方法设计使您可以探索基于应用程序的工具在日常使用中的个体差异。

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