Characterizing User Experiences With an SMS Text Messaging-Based mHealth Intervention: Mixed Methods Study.
Characterizing User Experiences With an SMS Text Messaging-Based mHealth Intervention: Mixed Methods Study.
复制标题
以短信为基础的移动健康干预表征用户体验：混合方法研究。
DOI：
10.2196/35699
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发表时间：
2022-05-03
影响因子：
2.2
通讯作者：
Kosyluk, Kristin
中科院分区：
文献类型：
--
作者：
King, Sayde Leya;Lebert, Jana;Karpisek, Lacey Anne;Phillips, Amelia;Neal, Tempestt;Kosyluk, Kristin
关键词：
由于提供者短缺、地理限制和成本，获得精神卫生保健服务的机会有限，这推动了移动的卫生保健领域解决这些机会差距。科恩退伍军人网络和国家行为健康理事会的报告显示，在精神卫生保健更容易获得的州，38%的人仍然没有得到他们需要的护理。移动医疗战略有助于以更低的成本和更大的便利性为遇到这些障碍的个人提供护理，使移动医疗成为弥合差距的重要资源。我们提出了一个混合方法的研究，以评估用户体验的心理mHealth服务，科普说明。具体而言，我们的目的是调查以下研究问题：用户如何看待服务的耻辱，干预的影响，并认为有用？用户如何评价科普Notes服务和SMS文本消息沿着各个方面的可接受性？科普笔记短信评级、用户个性和应对策略之间的关系是什么？用户对利用无处不在的传感技术来改善交付并提供量身定制的内容有何看法？我们对使用该服务至少30天的科普Notes用户（N=14）进行了定性访谈，以评估他们的体验和服务的有用性。这些访谈由两名评分员（SLK和JL）编码，使用SPSS（IBM Corp）计算评分员间信度为61.8%。此外，参与者还完成了定量测量，包括用户体验调查、人格量表（大五量表-10）和应对评估（对所经历问题的简短应对取向）。我们从我们的定性访谈中得出7个主题：喜欢或感知的好处，不喜欢或限制，建议的变化，耻辱或寻求帮助，无处不在的感觉，文化敏感性和替代mHealth资源。对科普笔记的可接受性评级和人格因素之间的探索性分析显示，认为自己是一个普遍信任的人和可接受性项目之间存在统计学显著的正相关关系，最显著的是项目7（我完全理解科普笔记信息背后的情感），rs（10）=0.82，P= 0.001）。我们还发现，可接受性和简短的应对取向的问题经历的项目之间的统计学显着的关系，最强的正相关参与者强烈赞同通过接受现实，事件已经发生和可接受性项目7（rs（8）=0.86，P=.001）。我们的研究发现，科普笔记的用户欣赏的服务，重新定义他们的心理健康与统计显着的相关性之间的个性和服务的可接受性。我们发现，一些用户更喜欢更个性化的体验，对潜在的配套应用程序做出中性到积极的反应，该应用程序通过智能手机传感器持续监控用户行为，以便在用户最需要的时候提供及时的干预。
Limited access to mental health care services due to provider shortages, geographic limitations, and cost has driven the area of mobile health (mHealth) care to address these access gaps. Reports from the Cohen Veterans Network and National Council for Behavioral Health show that in states where mental health care is more accessible, 38% of people still do not receive the care they need. mHealth strategies help to provide care to individuals experiencing these barriers at lower cost and greater convenience, making mHealth a great resource to bridge the gaps. We present a mixed methods study to evaluate user experiences with the mental mHealth service, Cope Notes. Specifically, we aimed to investigate the following research questions: How do users perceive the service in relation to stigma, impact of the intervention, and perceived usefulness? How do users rate the Cope Notes service and SMS text messaging along various dimensions of acceptability? What is the relationship between Cope Notes SMS text message ratings, user personality, and coping strategies? What are user perspectives of leveraging ubiquitous sensing technologies to improve delivery and provide tailored content? We performed qualitative interviews with Cope Notes users (N=14) who have used the service for at least 30 days to evaluate their experiences and usefulness of the service. These interviews were coded by 2 raters (SLK and JL), and the interrater reliability was calculated with SPSS (IBM Corp) at 61.8%. In addition, participants completed quantitative measures, including a user experiences survey, personality inventory (Big Five Inventory-10), and coping assessment (Brief Coping Orientation to Problems Experienced). We derived 7 themes from our qualitative interviews: Likes or Perceived Benefits, Dislikes or Limitations, Suggested Changes, Stigma or Help Seeking, Perceptions of Ubiquitous Sensing, Cultural Sensitivity, and Alternative mHealth Resources. Exploratory analyses between acceptability ratings of Cope Notes and personality factors showed statistically significant positive relationships between seeing oneself as someone who is generally trusting and acceptability items, the most significant being item 7 (I fully understood the sentiment behind Cope Notes Messages) with (rs(10)=0.82, P=.001). We also found statistically significant relationships between acceptability and Brief Coping Orientation to Problems Experienced items, with the strongest positive correlation between participants strongly endorsing coping by accepting the reality that an event has happened and acceptability item 7 (rs(8)=0.86, P=.001). Our study found that Cope Notes subscribers appreciate the service for reframing their mental wellness with statistically significant correlations between personality and acceptability of the service. We found that some users prefer a more personalized experience with neutral to positive reactions to a potential companion app that continuously monitors user behavior via smartphone sensors to provide just-in-time interventions when users need it most.
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