Effectiveness and Implementation Outcomes of an mHealth App Aimed at Promoting Physical Activity and Improving Psychological Distress in the Workplace Setting: Cluster-Level Nonrandomized Controlled Trial.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES
Kazuhiro Watanabe, Mitsuhiro Sato, Shoichi Okusa, Akizumi Tsutsumi
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引用次数: 0

Abstract

Background: Encouraging physical activity improves mental health and is recommended in workplace mental health guidelines. Although mobile health (mHealth) interventions are promising for physical activity promotion, their impact on mental health outcomes is inconsistent. Furthermore, poor user retention rates of mHealth apps pose a major challenge.

Objective: This study aimed to examine the effectiveness and implementation outcomes of the smartphone app ASHARE in Japanese workplace settings, leveraging a deep learning model to monitor depression and anxiety through physical activity.

Methods: This hybrid effectiveness-implementation trial was a 3-month nonrandomized controlled trial conducted from October 2023 to September 2024. Work units and employees were recruited and allocated to the intervention or active control group based on preference. The intervention group installed the ASHARE app, whereas the control group participated in an existing multicomponent workplace program promoting physical activity. Changes in physical activity and psychological distress levels were compared between the groups. User retention rates, participation rates, acceptability, appropriateness, feasibility, satisfaction, and potential harm were also assessed.

Results: A total of 84 employees from 7 work units participated (67 from 5 units in the intervention group and 17 from 2 units in the control group). In total, 78 employees completed the 3-month follow-up survey (follow-up rate: 93%). Both groups showed increased physical activity, and the intervention group showed reduced psychological distress; however, the differences between groups were not statistically significant (P=.20; P=.36). In a sensitivity analysis of protocol-compliant employees (n=21), psychological distress levels were significantly reduced in the intervention group compared with the control group (coefficient=-3.68, SE 1.65; P=.03). The app's 3-month user retention rate was 20% (12/61), which was lower than the participation rate in each component of the control programs. Implementation outcomes evaluated by employees were less favorable in the intervention group than in the control group, whereas health promotion managers found them to be similar.

Conclusions: The ASHARE app did not show superior effectiveness compared with an existing multicomponent workplace program for promoting physical activity. An implementation gap may exist between health promotion managers and employees, possibly contributing to the app's low user retention rate. Future research should focus on examining the effectiveness of strategies to get engagement from managers and from segments of employees with favorable responses in the workplace at an early stage.

旨在促进身体活动和改善工作场所心理困扰的移动健康应用程序的有效性和实施结果:集群水平的非随机对照试验。
背景:鼓励体育活动可以改善心理健康,并被推荐到工作场所心理健康指南中。尽管移动健康(mHealth)干预措施有望促进身体活动,但它们对心理健康结果的影响并不一致。此外,移动健康应用的低用户留存率构成了重大挑战。目的:本研究旨在检验智能手机应用程序shaare在日本工作场所的有效性和实施结果,利用深度学习模型通过身体活动监测抑郁和焦虑。方法:该混合有效性-实施试验为一项为期3个月的非随机对照试验,于2023年10月至2024年9月进行。招募工作单位和员工,并根据偏好将其分配到干预组或积极对照组。干预组安装了shaare应用程序,而对照组则参加了一个现有的多组件工作场所计划,以促进身体活动。研究人员比较了两组之间身体活动和心理困扰水平的变化。用户留存率、参与率、可接受性、适当性、可行性、满意度和潜在危害也进行了评估。结果:共有7个单位84名员工参与,其中干预组5个单位67名,对照组2个单位17名。共有78名员工完成了为期3个月的随访调查,随访率为93%。两组患者的身体活动量均有所增加,干预组患者的心理困扰有所减轻;但组间差异无统计学意义(P= 0.20;P = 36)。在对协议遵守员工(n=21)的敏感性分析中,干预组与对照组相比,心理困扰水平显著降低(系数=-3.68,SE 1.65;P = 03)。该应用的3个月用户留存率为20%(12/61),低于控制程序的每个组成部分的参与率。干预组员工对实施结果的评价低于对照组,而健康促进经理则认为两者相似。结论:与现有的多组件工作场所项目相比,share应用程序在促进身体活动方面并没有显示出更好的效果。健康促进经理和员工之间可能存在实施差距,这可能导致该应用的用户留存率较低。未来的研究应侧重于检查策略的有效性,以便在早期阶段获得经理和在工作场所中有良好反应的员工的参与。
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来源期刊
JMIR mHealth and uHealth
JMIR mHealth and uHealth Medicine-Health Informatics
CiteScore
12.60
自引率
4.00%
发文量
159
审稿时长
10 weeks
期刊介绍: JMIR mHealth and uHealth (JMU, ISSN 2291-5222) is a spin-off journal of JMIR, the leading eHealth journal (Impact Factor 2016: 5.175). JMIR mHealth and uHealth is indexed in PubMed, PubMed Central, and Science Citation Index Expanded (SCIE), and in June 2017 received a stunning inaugural Impact Factor of 4.636. The journal focusses on health and biomedical applications in mobile and tablet computing, pervasive and ubiquitous computing, wearable computing and domotics. JMIR mHealth and uHealth publishes since 2013 and was the first mhealth journal in Pubmed. It publishes even faster and has a broader scope with including papers which are more technical or more formative/developmental than what would be published in the Journal of Medical Internet Research.
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