Establishing a Consensus-Based Framework for the Use of Wearable Activity Trackers in Health Care: Delphi Study.

IF 5.4 2区 医学 Q1 HEALTH CARE SCIENCES & SERVICES JMIR mHealth and uHealth Pub Date : 2024-08-23 DOI:10.2196/55254
Kimberley Szeto, John Arnold, Erin Marie Horsfall, Madeline Sarro, Anthony Hewitt, Carol Maher
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Abstract

Background: Physical activity (PA) plays a crucial role in health care, providing benefits in the prevention and management of many noncommunicable diseases. Wearable activity trackers (WATs) provide an opportunity to monitor and promote PA in various health care settings.

Objective: This study aimed to develop a consensus-based framework for the optimal use of WATs in health care.

Methods: A 4-round Delphi survey was conducted, involving a panel (n=58) of health care professionals, health service managers, and researchers. Round 1 used open-response questions to identify overarching themes. Rounds 2 and 3 used 9-point Likert scales to refine participants' opinions and establish consensus on key factors related to WAT use in health care, including metrics, device characteristics, clinical populations and settings, and software considerations. Round 3 also explored barriers and mitigating strategies to WAT use in clinical settings. Insights from Rounds 1-3 informed a draft checklist designed to guide a systematic approach to WAT adoption in health care. In Round 4, participants evaluated the draft checklist's clarity, utility, and appropriateness.

Results: Participation rates for rounds 1 to 4 were 76% (n=44), 74% (n=43), 74% (n=43), and 66% (n=38), respectively. The study found a strong interest in using WATs across diverse clinical populations and settings. Key metrics (step count, minutes of PA, and sedentary time), device characteristics (eg, easy to charge, comfortable, waterproof, simple data access, and easy to navigate and interpret data), and software characteristics (eg, remote and wireless data access, access to multiple patients' data) were identified. Various barriers to WAT adoption were highlighted, including device-related, patient-related, clinician-related, and system-level issues. The findings culminated in a 12-item draft checklist for using WATs in health care, with all 12 items endorsed for their utility, clarity, and appropriateness in Round 4.

Conclusions: This study underscores the potential of WATs in enhancing patient care across a broad spectrum of health care settings. While the benefits of WATs are evident, successful integration requires addressing several challenges, from technological developments to patient education and clinician training. Collaboration between WAT manufacturers, researchers, and health care professionals will be pivotal for implementing WATs in the health care sector.

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为在医疗保健中使用可穿戴活动追踪器建立一个基于共识的框架:德尔菲研究。
背景:体力活动(PA)在医疗保健中发挥着至关重要的作用,对预防和控制许多非传染性疾病大有裨益。可穿戴活动追踪器(WATs)为在各种医疗保健环境中监测和促进体力活动提供了机会:本研究旨在制定一个基于共识的框架,以优化 WATs 在医疗保健中的应用:方法:进行了四轮德尔菲调查,调查对象包括医疗保健专业人员、医疗服务管理人员和研究人员(人数=58)。第一轮采用开放式回答问题,以确定总体主题。第二轮和第三轮使用 9 点李克特量表来完善参与者的意见,并就医疗保健中使用 WAT 的关键因素达成共识,包括度量标准、设备特性、临床人群和环境以及软件注意事项。第三轮还探讨了在临床环境中使用 WAT 的障碍和缓解策略。从第 1-3 轮讨论中获得的启发为一份检查表草案提供了参考,该草案旨在指导在医疗保健领域采用 WAT 的系统方法。在第 4 轮中,与会者对清单草案的清晰度、实用性和适当性进行了评估:第一轮至第四轮的参与率分别为 76%(44 人)、74%(43 人)、74%(43 人)和 66%(38 人)。研究发现,不同的临床人群和环境对使用 WATs 都有浓厚的兴趣。研究确定了关键指标(步数、活动时间和久坐时间)、设备特性(例如,易于充电、舒适、防水、数据访问简单、易于浏览和解释数据)和软件特性(例如,远程和无线数据访问、访问多个患者的数据)。还强调了采用 WAT 的各种障碍,包括与设备相关、与患者相关、与临床医生相关以及系统层面的问题。研究结果最终形成了一份由 12 个项目组成的在医疗保健中使用 WAT 的清单草案,所有 12 个项目在第 4 轮中都因其实用性、清晰度和适当性而获得认可:本研究强调了 WATs 在广泛的医疗机构中加强病人护理的潜力。虽然 WATs 的优势显而易见,但要成功整合 WATs,还需要应对从技术开发到患者教育和临床医师培训等多个挑战。WAT 制造商、研究人员和医疗保健专业人员之间的合作对于在医疗保健领域实施 WAT 至关重要。
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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.
期刊最新文献
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