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

Autor:	Szeto K; Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Perfomance, University of South Australia, Adelaide, Australia., Arnold J; Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Perfomance, University of South Australia, Adelaide, Australia., Horsfall EM; Allied Health and Human Perfomance, University of South Australia, Adelaide, Australia., Sarro M; Allied Health and Human Perfomance, University of South Australia, Adelaide, Australia., Hewitt A; Southern Adelaide Local Health Network, South Australia Health, Adelaide, Australia., Maher C; Alliance for Research in Exercise, Nutrition and Activity, Allied Health and Human Perfomance, University of South Australia, Adelaide, Australia.
Jazyk:	angličtina
Zdroj:	JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2024 Aug 23; Vol. 12, pp. e55254. Date of Electronic Publication: 2024 Aug 23.
DOI:	10.2196/55254
Abstrakt:	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. (©Kimberley Szeto, John Arnold, Erin Marie Horsfall, Madeline Sarro, Anthony Hewitt, Carol Maher. Originally published in JMIR mHealth and uHealth (https://mhealth.jmir.org), 23.08.2024.)
Databáze:	MEDLINE
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