Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines.
Features of mobile diabetes applications: review of the literature and analysis of current applications compared against evidence-based guidelines.
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DOI：
10.2196/jmir.1874
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发表时间：
2011-09-22
影响因子：
7.4
通讯作者：
Hartvigsen G
中科院分区：
文献类型：
--
作者：
Chomutare T;Fernandez-Luque L;Arsand E;Hartvigsen G
对用于糖尿病自我管理的移动的健康（mHealth）应用的兴趣正在增长。2009年7月，我们在iPhone的iTunes上发现了60个糖尿病应用程序;到2011年2月，这个数字增加了400%以上，达到260个。其他移动的平台也反映出类似的趋势。尽管有所增长，但关于糖尿病mHealth应用程序的设计和使用的研究却很少。此外，社交媒体对糖尿病mHealth应用程序的潜在影响在很大程度上尚未探索。我们的目的是研究糖尿病护理的移动的应用程序的显著特征，与糖尿病自我管理的临床指南建议相比。这些临床指南由卫生当局或协会出版，如英国国家健康和临床卓越研究所和美国糖尿病协会。我们搜索了在线供应商市场（Apple iPhone、Google Android、BlackBerry和Nokia Symbian的在线商店）、期刊数据库和与糖尿病移动的应用相关的灰色文献。我们纳入了具有自我血糖监测组件的应用程序，排除了没有英语用户界面的应用程序，以及专门用于医疗保健专业人员的应用程序。我们调查了以下特征：（1）自我监控：（1.1）血糖，（1.2）重量，（1.3）体力活动，（1.4）饮食，（1.5）胰岛素和药物，以及（1.6）血压，（2）教育，（3）疾病相关警报和提醒，（4）整合社交媒体功能，（5）疾病相关数据导出和通信，以及（6）与个人健康记录（PHR）系统或患者门户同步。然后，我们将这些特征的患病率与指南建议进行了对比。检索结果为973个匹配项，其中137个符合选择标准。在线市场（n = 101）上可用应用程序的4个最常见功能是（1）胰岛素和药物记录，63（62%），（2）数据导出和通信，61（60%），（3）饮食记录，47（47%）和（4）体重管理，43（43%）。根据文献检索（n = 26），最常见的功能是（1）PHR或Web服务器同步，18例（69%），（2）胰岛素和药物记录，17例（65%），（3）饮食记录，17例（65%），和（4）数据导出和通信，16例（62%）。有趣的是，尽管临床指南广泛提及教育的重要性，但在这两种情况下，这都是最重要的功能。虽然糖尿病患者似乎可以使用多种移动的应用程序，但这项研究表明，基于证据的建议与研究干预中使用的功能或在线市场中发现的功能之间存在明显的差距。目前的研究结果证实，个性化教育在糖尿病移动的应用中代表性不足。我们没有发现任何研究评估社交媒体概念在移动的设备上的糖尿病自我管理，其潜力在很大程度上仍未开发。
Interest in mobile health (mHealth) applications for self-management of diabetes is growing. In July 2009, we found 60 diabetes applications on iTunes for iPhone; by February 2011 the number had increased by more than 400% to 260. Other mobile platforms reflect a similar trend. Despite the growth, research on both the design and the use of diabetes mHealth applications is scarce. Furthermore, the potential influence of social media on diabetes mHealth applications is largely unexplored. Our objective was to study the salient features of mobile applications for diabetes care, in contrast to clinical guideline recommendations for diabetes self-management. These clinical guidelines are published by health authorities or associations such as the National Institute for Health and Clinical Excellence in the United Kingdom and the American Diabetes Association. We searched online vendor markets (online stores for Apple iPhone, Google Android, BlackBerry, and Nokia Symbian), journal databases, and gray literature related to diabetes mobile applications. We included applications that featured a component for self-monitoring of blood glucose and excluded applications without English-language user interfaces, as well as those intended exclusively for health care professionals. We surveyed the following features: (1) self-monitoring: (1.1) blood glucose, (1.2) weight, (1.3) physical activity, (1.4) diet, (1.5) insulin and medication, and (1.6) blood pressure, (2) education, (3) disease-related alerts and reminders, (4) integration of social media functions, (5) disease-related data export and communication, and (6) synchronization with personal health record (PHR) systems or patient portals. We then contrasted the prevalence of these features with guideline recommendations. The search resulted in 973 matches, of which 137 met the selection criteria. The four most prevalent features of the applications available on the online markets (n = 101) were (1) insulin and medication recording, 63 (62%), (2) data export and communication, 61 (60%), (3) diet recording, 47 (47%), and (4) weight management, 43 (43%). From the literature search (n = 26), the most prevalent features were (1) PHR or Web server synchronization, 18 (69%), (2) insulin and medication recording, 17 (65%), (3) diet recording, 17 (65%), and (4) data export and communication, 16 (62%). Interestingly, although clinical guidelines widely refer to the importance of education, this is missing from the top functionalities in both cases. While a wide selection of mobile applications seems to be available for people with diabetes, this study shows there are obvious gaps between the evidence-based recommendations and the functionality used in study interventions or found in online markets. Current results confirm personalized education as an underrepresented feature in diabetes mobile applications. We found no studies evaluating social media concepts in diabetes self-management on mobile devices, and its potential remains largely unexplored.
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