Marie-Pierre Gagnon, Steven Ouellet, Eugène Attisso, Wilfried Supper, Samira Amil, Caroline Rhéaume, Jean-Sébastien Paquette, Christian Chabot, Marie-Claude Laferrière, Maxime Sasseville
{"title":"Wearable Devices for Supporting Chronic Disease Self-Management: Scoping Review.","authors":"Marie-Pierre Gagnon, Steven Ouellet, Eugène Attisso, Wilfried Supper, Samira Amil, Caroline Rhéaume, Jean-Sébastien Paquette, Christian Chabot, Marie-Claude Laferrière, Maxime Sasseville","doi":"10.2196/55925","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p><p><strong>Trial registration: </strong>Open Science Framework Registries (OSF) s4wfm; https://osf.io/s4wfm.</p>","PeriodicalId":51757,"journal":{"name":"Interactive Journal of Medical Research","volume":"13 ","pages":"e55925"},"PeriodicalIF":1.9000,"publicationDate":"2024-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11667132/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interactive Journal of Medical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2196/55925","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Background: 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.
Objective: 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.
Methods: 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.
Results: 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.
Conclusions: 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.
Trial registration: Open Science Framework Registries (OSF) s4wfm; https://osf.io/s4wfm.
背景:慢性病患者可以从可穿戴设备中受益,管理他们的健康和鼓励健康的生活习惯。活动追踪器或血糖监测设备等可穿戴设备可以带来积极的健康影响,包括提高体育锻炼的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疾病的交叉、使用的可穿戴设备以及干预研究中评估的结果,特别是在初级卫生保健的背景下。目的:本研究旨在识别和描述(1)干预研究中代表的慢性疾病,(2)使用的可穿戴设备的类型或组合,以及(3)评估和测量的健康或医疗保健结果。方法:我们按照乔安娜布里格斯研究所的指南进行了范围综述,检索MEDLINE和Web of Science数据库,查找2012年至2022年间发表的研究。对审稿人独立筛选标题和摘要,应用选择标准,并进行全文筛选。我们使用可穿戴设备进行干预,这些设备可以自动收集数据并将数据传输给患有至少一种慢性疾病的成年人群。我们排除了只有慢性疾病易感性、住院患者、急性疾病患者、活动性癌症患者和癌症幸存者的研究。我们包括随机对照试验和队列、前测后测、观察、混合方法和定性研究。结果:剔除重复文献1987篇后,共筛选题目和摘要4540篇。在排除后剩下的304篇文章中,我们排除了215篇(70.7%)全文,纳入了89篇(29.3%)全文。在这89篇文献中,10篇(11%)与纳入研究中的干预措施有关,因此纳入了79篇研究。我们根据慢性疾病群来组织结果:(1)糖尿病,(2)心力衰竭,(3)其他心血管疾病,(4)高血压,(5)多病和其他慢性疾病的组合,(6)慢性阻塞性肺病,(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(18/79,23%的研究),可穿戴活动追踪器是使用最多的(42/79,53%的研究)。在纳入的79项研究中,报告了74项临床、73项行为、36项患者技术体验、28项医疗保健系统和25项整体或生物心理社会结果。结论:本综述概述了用于慢性病自我管理干预研究的可穿戴设备,揭示了研究的慢性病范围和使用的可穿戴设备种类的差异。这些发现为研究人员提供了有价值的见解,以进一步探索医疗保健结果,验证伴随设备使用的影响,并将其应用于其他慢性疾病。试验注册:开放科学框架注册(OSF) s4wfm;https://osf.io/s4wfm。