关键词: acceptability app behavioral data clinical research depression depressive symptoms digital phenotyping interview mHealth mobile app mobile health mobile phone monitor perinatal perinatal depression postpartum pregnant qualitative qualitative study smartphone app thematic analysis usability user user experience users well-being women

来  源:   DOI:10.2196/53508   PDF(Pubmed)

Abstract:
BACKGROUND: Perinatal depression affects a significant number of women during pregnancy and after birth, and early identification is imperative for timely interventions and improved prognosis. Mobile apps offer the potential to overcome barriers to health care provision and facilitate clinical research. However, little is known about users\' perceptions and acceptability of these apps, particularly digital phenotyping and ecological momentary assessment apps, a relatively novel category of apps and approach to data collection. Understanding user\'s concerns and the challenges they experience using the app will facilitate adoption and continued engagement.
OBJECTIVE: This qualitative study explores the experiences and attitudes of users of the Mom2B mobile health (mHealth) research app (Uppsala University) during the perinatal period. In particular, we aimed to determine the acceptability of the app and any concerns about providing data through a mobile app.
METHODS: Semistructured focus group interviews were conducted digitally in Swedish with 13 groups and a total of 41 participants. Participants had been active users of the Mom2B app for at least 6 weeks and included pregnant and postpartum women, both with and without depression symptomatology apparent in their last screening test. Interviews were recorded, transcribed verbatim, translated to English, and evaluated using inductive thematic analysis.
RESULTS: Four themes were elicited: acceptability of sharing data, motivators and incentives, barriers to task completion, and user experience. Participants also gave suggestions for the improvement of features and user experience.
CONCLUSIONS: The study findings suggest that app-based digital phenotyping is a feasible and acceptable method of conducting research and health care delivery among perinatal women. The Mom2B app was perceived as an efficient and practical tool that facilitates engagement in research as well as allows users to monitor their well-being and receive general and personalized information related to the perinatal period. However, this study also highlights the importance of trustworthiness, accessibility, and prompt technical issue resolution in the development of future research apps in cooperation with end users. The study contributes to the growing body of literature on the usability and acceptability of mobile apps for research and ecological momentary assessment and underscores the need for continued research in this area.
摘要:
背景:围产期抑郁症影响了怀孕期间和出生后的大量妇女,早期识别对于及时干预和改善预后至关重要.移动应用程序提供了克服医疗保健提供障碍和促进临床研究的潜力。然而,对用户对这些应用程序的看法和可接受性知之甚少,特别是数字表型和生态瞬时评估应用程序,一种相对新颖的应用程序类别和数据收集方法。了解用户的关注和他们使用该应用程序所经历的挑战将促进采用和持续参与。
目的:这项定性研究探讨了Mom2B移动健康(mHealth)研究应用程序(乌普萨拉大学)的用户在围产期的体验和态度。特别是,我们的目标是确定该应用程序的可接受性以及通过移动应用程序提供数据的任何担忧。
方法:半结构化焦点小组访谈以瑞典语进行,共有13组,共41名参与者。参与者一直是Mom2B应用程序的活跃用户至少6周,包括孕妇和产后妇女,在他们的最后一次筛查测试中,有和没有抑郁症的症状都很明显。采访被记录下来,逐字转录,翻译成英文,并采用归纳专题分析法进行评价。
结果:引发了四个主题:共享数据的可接受性,激励和激励,完成任务的障碍,和用户体验。与会者还对功能和用户体验的改进提出了建议。
结论:研究结果表明,基于应用程序的数字表型分析是一种可行且可接受的方法,可以在围产期妇女中进行研究和保健分娩。Mom2B应用程序被认为是一种高效实用的工具,可以促进参与研究,并允许用户监控他们的健康状况,并接收与围产期相关的一般和个性化信息。然而,这项研究还强调了诚信的重要性,可访问性,并在与最终用户合作开发未来研究应用程序时及时解决技术问题。这项研究为越来越多的关于移动应用程序用于研究和生态瞬时评估的可用性和可接受性的文献做出了贡献,并强调了在这一领域继续研究的必要性。
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