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首页> 美国卫生研究院文献>International Journal of Environmental Research and Public Health >Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study
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Women’s Usage Behavior and Perceived Usefulness with Using a Mobile Health Application for Gestational Diabetes Mellitus: Mixed-Methods Study

机译：妇女使用者的使用行为和对妊娠期糖尿病的移动健康申请感知有用性：混合方法研究

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The prevalence of gestational diabetes mellitus (GDM) is increasing, and only a few mobile health (mHealth) applications are specifically designed to manage GDM. In this mixed-methods study, a follow-up study of a randomized controlled trial (RCT) analyzed a largely automated mHealth application-based lifestyle coaching program to (a) measure the application’s usage behavior and (b) explore users’ perceptions of its usefulness in GDM management. Quantitative data were collected from the 170 application users who had participated in the intervention arm of the RCT. Semi-structured interviews (n = 14) captured users’ experiences when using the application. Data were collected from June 2019 to January 2020. Quantitative data were analyzed descriptively, and interviews were analyzed thematically. Only 57/170 users (34%) logged at least one meal, and only 35 meals on average were logged for eight weeks because of the incorrectly worded food items and limited food database. On the contrary, an average of 1.85 (SD = 1.60) weight values were logged per week since the weight tracking component was easy to use. Many users (6/14 (43%)) mentioned that the automatic coach messages created an immediate sense of self-awareness in food choices and motivated behavior. The findings suggest that for GDM management, a largely automated mHealth application has the potential to promote self-awareness of healthy lifestyle choices, reducing the need for intensive human resources. Additionally, several gaps in the application’s design were identified which need to be addressed in future works.
机译：妊娠期糖尿病（GDM）的患病率越来越多，并且只有少数移动健康（MHECHEATH）应用专门用于管理GDM。在这种混合方法研究中，随机对照试验（RCT）的后续研究分析了基于自动化的MHHealth应用程序的生活方式教练计划（a）衡量应用程序的使用行为和（b）探索用户对其的看法GDM管理中的有用性。从参加RCT的干预臂的170个应用程序中收集量化数据。使用应用程序时，半结构化访谈（n = 14）捕获用户的体验。从2019年6月到2012年6月收集了数据。描述了定量数据，并对面试进行了专题方式。只有57/170用户（34％）登记至少一顿饭，并且平均只有35次餐点八周，因为措辞错误的食物和有限的食物数据库。相反，平均每周为1.85（SD = 1.60）重量值，因为重量跟踪部件易于使用。许多用户（6/14（43％））提到，自动教练信息在食物选择和动机行为中创造了立即的自我意识。调查结果表明，对于GDM管理，一个很大程度上的自动化MHHEATH应用程序有可能促进健康的生活方式选择的自我意识，减少对密集型人力资源的需求。此外，还确定了应用程序设计中的几个差距，需要在将来的作品中解决。

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