@Article{信息:doi 10.2196 / / jmir。6382，作者=“Alvarado, Michelle M和Kum，惠- chung和Gonzalez Coronado, Karla和Foster, Margaret J和Ortega, Pearl和Lawley, Mark A”，标题=“2型糖尿病远程健康干预的障碍:系统回顾和建议分类方案”，期刊=“J医学互联网研究”，年=“2017”，月=“2”，日=“13”，卷=“19”，数=“2”，页=“e28”，关键词=“糖尿病，2型;早期医疗干预;生物医学技术;遥感技术;背景:糖尿病自我管理包括坚持健康的日常习惯，通常包括血糖监测、药物治疗、运动和饮食。为了支持自我管理，一些医疗机构已经开始测试远程干预，以便在门诊之间监测和协助患者。尽管一些研究已经取得了成功，但要广泛采用还存在障碍。目的:本研究的目的是识别和分类采用远程健康管理2型糖尿病的障碍。方法:检索以下6个电子数据库:MEDLINE (Ovid)、Embase (Ovid)、CINAHL、Cochrane Central、Northern Light Life Sciences Conference Abstracts和Scopus (Elsevier)，检索2010 - 2015年发表的文章。 The search identified studies involving remote technologies for type 2 diabetes self-management. Reviewers worked in teams of 2 to review and extract data from identified papers. Information collected included study characteristics, outcomes, dropout rates, technologies used, and barriers identified. Results: A total of 53 publications on 41 studies met the specified criteria. Lack of data accuracy due to input bias (32{\%}, 13/41), limitations on scalability (24{\%}, 10/41), and technology illiteracy (24{\%}, 10/41) were the most commonly cited barriers. Technology illiteracy was most prominent in low-income populations, whereas limitations on scalability were more prominent in mid-income populations. Barriers identified were applied to a conceptual model of successful remote health, which includes patient engagement, patient technology accessibility, quality of care, system technology cost, and provider productivity. In total, 40.5{\%} (60/148) of identified barrier instances impeded patient engagement, which is manifest in the large dropout rates cited (up to 57{\%}). Conclusions: The barriers identified represent major challenges in the design of remote health interventions for diabetes. Breakthrough technologies and systems are needed to alleviate the barriers identified so far, particularly those associated with patient engagement. Monitoring devices that provide objective and reliable data streams on medication, exercise, diet, and glucose monitoring will be essential for widespread effectiveness. Additional work is needed to understand root causes of high dropout rates, and new interventions are needed to identify and assist those at the greatest risk of dropout. Finally, future studies must quantify costs and benefits to determine financial sustainability. ", issn="1438-8871", doi="10.2196/jmir.6382", url="//www.mybigtv.com/2017/2/e28/", url="https://doi.org/10.2196/jmir.6382", url="http://www.ncbi.nlm.nih.gov/pubmed/28193598" }