参与和使用混合式移动保健干预以改变健康行为。

IF 2 3区 心理学 Q3 PSYCHOLOGY, CLINICAL International Journal of Behavioral Medicine Pub Date : 2024-04-01 Epub Date: 2023-05-22 DOI:10.1007/s12529-023-10182-1
Martha Zimmermann, Lauren Greenberg, Jessica Y Breland
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引用次数: 0

摘要

背景:混合式移动保健干预(包括促进者在内的移动保健干预)可促进用户参与并提高健康行为改变干预的有效性。关于混合式移动医疗干预措施在研究范围之外的使用情况,人们知之甚少:在本研究中,我们描述了在真实世界条件下混合移动医疗干预用户使用应用程序的模式。项目用户是退伍军人健康管理局(VHA)的初级保健患者(n = 56),他们在 2019 年至 2021 年期间收到了混合移动医疗干预的邀请码。聚类分析用于研究用户参与健康指导访问的情况和项目特点:在收到邀请码的患者中,34%的人启动了该计划。大多数用户为男性(63%)和白人(57%)。平均健康状况为 5 种(68% 患有肥胖症)。平均年龄为 55 岁。聚类分析显示,大多数用户的参与度为中等(57%)或非常高(13%)。其余 30% 的用户参与度较低。与没有完成健康指导访问的用户相比,完成健康指导访问的用户(约占一半)报告的总体参与度更高。体重是最常跟踪的指标。在计划实施的第一个月和最后一个月输入体重的用户(n = 18)中,平均体重变化率为 4.0% (SD = 3.6):结论:混合式移动医疗干预可能是一种可扩展的选择,可以扩大健康行为改变干预的覆盖范围。然而,相当一部分用户并没有启动这些干预措施,选择不使用健康指导功能,或者参与程度较低。未来的研究应探讨健康指导访问在促进持续参与中的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Engagement and Use of a Blended mHealth Intervention for Health Behavior Change.

Background: Blended mHealth interventions (mHealth interventions including a facilitator) promote user engagement and increase effectiveness of health behavior change interventions. Little is known about how blended mHealth interventions are used outside the research context.

Methods: In the present work, we characterized patterns of app use among users of a blended mHealth intervention in real-world conditions. Program users were Veterans Health Administration (VHA) primary care patients (n = 56) who received an invite code for a blended mHealth intervention between 2019 and 2021. Cluster analysis was used to examine user engagement with health coach visits and program features.

Results: Of patients who received an invite code, 34% initiated the program. Most users were men (63%) and white (57%). The mean number of health conditions was 5 (68% with obesity). The mean age was 55. Cluster analysis suggested that most users did sustain engagement at either moderate (57%) or very high levels (13%). The remaining 30% of users were low engaged users. Users completing any health coach visit (about half) reported more overall engagement than their counterparts who did not. Weight was the most frequently tracked metric. Of users entering weights in the first and last month of the program (n = 18), the mean percent body weight change was 4.0% (SD = 3.6).

Conclusions: A blended mHealth intervention may be a scalable option to extend the reach of health behavior change interventions for those that use it. However, a significant portion of users do not initiate these interventions, choose not to use the health coach feature, or engage at lower levels. Future research should examine the role of health coaching visits in promoting sustained engagement.

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来源期刊
CiteScore
5.20
自引率
3.70%
发文量
97
期刊介绍: The International Journal of Behavioral Medicine (IJBM) is the official scientific journal of the International Society for Behavioral Medicine (ISBM). IJBM seeks to present the best theoretically-driven, evidence-based work in the field of behavioral medicine from around the globe. IJBM embraces multiple theoretical perspectives, research methodologies, groups of interest, and levels of analysis. The journal is interested in research across the broad spectrum of behavioral medicine, including health-behavior relationships, the prevention of illness and the promotion of health, the effects of illness on the self and others, the effectiveness of novel interventions, identification of biobehavioral mechanisms, and the influence of social factors on health. We welcome experimental, non-experimental, quantitative, qualitative, and mixed-methods studies as well as implementation and dissemination research, integrative reviews, and meta-analyses.
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