Gagnon Marie-Pierre, Ouellet Steven, Attisso Eugène, Supper Wilfried, Amil Samira, Rhéaume Caroline, Paquette Jean-Sébastien, Chabot Christian, Laferrière Marie-Claude, Sasseville Maxime
Faculty of Nursing Sciences, Université Laval, Québec, QC, Canada.
VITAM Research Center on Sustainable Health, Québec, QC, Canada.
Interact J Med Res. 2024 Dec 9;13:e55925. doi: 10.2196/55925.
People with chronic diseases can benefit from wearable devices in managing their health and encouraging healthy lifestyle habits. Wearables such as activity trackers or blood glucose monitoring devices can lead to positive health impacts, including improved physical activity adherence or better management of type 2 diabetes. Few literature reviews have focused on the intersection of various chronic diseases, the wearable devices used, and the outcomes evaluated in intervention studies, particularly in the context of primary health care.
This study aims to identify and describe (1) the chronic diseases represented in intervention studies, (2) the types or combinations of wearables used, and (3) the health or health care outcomes assessed and measured.
We conducted a scoping review following the Joanna Briggs Institute guidelines, searching the MEDLINE and Web of Science databases for studies published between 2012 and 2022. Pairs of reviewers independently screened titles and abstracts, applied the selection criteria, and performed full-text screening. We included interventions using wearables that automatically collected and transmitted data to adult populations with at least one chronic disease. We excluded studies with participants with only a predisposition to develop a chronic disease, hospitalized patients, patients with acute diseases, patients with active cancer, and cancer survivors. We included randomized controlled trials and cohort, pretest-posttest, observational, mixed methods, and qualitative studies.
After the removal of 1987 duplicates, we screened 4540 titles and abstracts. Of the remaining 304 articles after exclusions, we excluded 215 (70.7%) full texts and included 89 (29.3%). Of these 89 texts, 10 (11%) were related to the same interventions as those in the included studies, resulting in 79 studies being included. We structured the results according to chronic disease clusters: (1) diabetes, (2) heart failure, (3) other cardiovascular conditions, (4) hypertension, (5) multimorbidity and other combinations of chronic conditions, (6) chronic obstructive pulmonary disease, (7) chronic pain, (8) musculoskeletal conditions, and (9) asthma. Diabetes was the most frequent health condition (18/79, 23% of the studies), and wearable activity trackers were the most used (42/79, 53% of the studies). In the 79 included studies, 74 clinical, 73 behavioral, 36 patient technology experience, 28 health care system, and 25 holistic or biopsychosocial outcomes were reported.
This scoping review provides an overview of the wearable devices used in chronic disease self-management intervention studies, revealing disparities in both the range of chronic diseases studied and the variety of wearable devices used. These findings offer researchers valuable insights to further explore health care outcomes, validate the impact of concomitant device use, and expand their use to other chronic diseases.
Open Science Framework Registries (OSF) s4wfm; https://osf.io/s4wfm.
慢性病患者可从可穿戴设备中受益,有助于管理自身健康并培养健康的生活习惯。活动追踪器或血糖监测设备等可穿戴设备能对健康产生积极影响,包括提高身体活动依从性或更好地管理2型糖尿病。很少有文献综述关注各种慢性病、所使用的可穿戴设备以及干预研究中评估的结果之间的交叉点,尤其是在初级卫生保健背景下。
本研究旨在识别并描述:(1)干预研究中涉及的慢性病;(2)所使用的可穿戴设备类型或组合;(3)评估和测量的健康或卫生保健结果。
我们按照乔安娜·布里格斯研究所的指南进行了一项范围综述,在MEDLINE和科学网数据库中检索2012年至2022年发表的研究。由两名评审员独立筛选标题和摘要,应用选择标准并进行全文筛选。我们纳入了使用能自动收集并传输数据的可穿戴设备针对至少患有一种慢性病的成年人群体的干预措施。我们排除了仅具有患慢性病倾向的参与者、住院患者、急性病患者、活动性癌症患者以及癌症幸存者的研究。我们纳入了随机对照试验、队列研究、前测 - 后测研究、观察性研究、混合方法研究和定性研究。
在去除1987篇重复文献后,我们筛选了4540篇标题和摘要。在排除后剩余的304篇文章中,我们排除了215篇(70.7%)全文,纳入了89篇(29.3%)。在这89篇文献中,有10篇(11%)与纳入研究中的干预措施相同,最终纳入79项研究。我们根据慢性病类别对结果进行了梳理:(1)糖尿病;(2)心力衰竭;(3)其他心血管疾病;(4)高血压;(5)多种慢性病及其他慢性病组合;(6)慢性阻塞性肺疾病;(7)慢性疼痛;(8)肌肉骨骼疾病;(9)哮喘。糖尿病是最常见的健康状况(18/79,占研究的23%),可穿戴活动追踪器是使用最多的设备(42/79,占研究的53%)。在纳入的79项研究中,报告了74项临床结果、73项行为结果、36项患者技术体验结果、28项卫生保健系统结果以及25项整体或生物心理社会结果。
本范围综述概述了慢性病自我管理干预研究中使用的可穿戴设备,揭示了所研究的慢性病范围和所使用的可穿戴设备种类方面的差异。这些发现为研究人员提供了有价值的见解,有助于进一步探索卫生保健结果、验证同时使用设备的影响,并将其应用扩展到其他慢性病。
开放科学框架注册库(OSF)s4wfm;https://osf.io/s4wfm。