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A Framework to Assist Health Professionals in Recommending High-Quality Apps for Supporting Chronic Disease Self-Management: Illustrative Assessment of Type 2 Diabetes Apps

机译:协助卫生专业人员推荐高质量应用程序以支持慢性病自我管理的框架:2型糖尿病应用程序的示例性评估

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Background This paper presents an approach to assist health professionals in recommending high quality apps for supporting chronic disease self-management. Most app reviews focus on popularity, aesthetics, functionality, usability, and information quality. There is no doubt these factors are important in selecting trustworthy apps which are appealing to users, but behavioral theory may be also be useful in matching the apps to user needs. Objective The framework developed aims to be methodologically sound, capable of selecting popular apps which include content covered by evidence-based programs, consistent with behavioral theory, as well as a patient-centered approach for matching apps to patients’ individual needs. Methods A single disease—type 2 diabetes—was selected to illustrate how the framework can be applied as this was deemed to represent the types of strategies used in many chronic diseases. A systematic approach based on behavioral theory and recommendations from best practice guidelines was developed for matching apps to patients’ needs. In March 2014, a series of search strategies was used to identify top-rated iPhone and Android health apps, representing 29 topics from five categories of type 2 diabetes self-management strategies. The topics were chosen from published international guidelines for the management of diabetes. The senior author (KH) assessed the most popular apps found that addressed these topics using the Behavioral Theory Content Survey (BTS), which is based on traditional behavioral theory. A tool to assist decision making when using apps was developed and trialed with health professionals for ease of use and understanding. Results A total of 14 apps were assessed representing all five topic categories of self-management. Total theoretical scores (BTS scores) were less than 50 on a 100-point scale for all apps. Each app scored less than 50% of the total possible BTS score for all four behavioral theories and for most of the 20 behavioral strategies; however, apps scored higher than 50% of the total possible BTS score for specific strategies related to their primary focus. Our findings suggest that the apps studied would be more effective when used in conjunction with therapy than as stand-alone apps. Apps were categorized according to topic and core intervention strategies. A framework for matching apps to identified patient needs was developed based on app categorization and principles of patient-centered care. The approach was well accepted and understood by a convenience sample of health practitioners. Conclusions The framework presented can be used by health practitioners to better match apps with client needs. Some apps incorporate highly interactive strategies of behavioral theory, and when used as an adjunct may increase patient participation and the effectiveness of therapy.
机译:背景技术本文提出了一种方法,可以帮助卫生专业人员推荐高质量的应用程序来支持慢性病的自我管理。大多数应用程序评论都集中在受欢迎程度,美观性,功能性,可用性和信息质量上。毫无疑问,这些因素对于选择吸引用户的可信赖应用程序很重要,但是行为理论也可能有助于使应用程序与用户需求匹配。目标开发的框架旨在在方法上保持合理,能够选择流行的应用程序,其中包括基于证据的程序所涵盖的内容,与行为理论相一致,以及以患者为中心的方法来使应用程序与患者的个人需求相匹配。方法选择一种单一疾病(2型糖尿病)来说明如何应用该框架,因为该框架被认为代表了许多慢性疾病中使用的策略类型。开发了一种基于行为理论和最佳实践指南建议的系统方法,以使应用程序与患者需求相匹配。 2014年3月,采用了一系列搜索策略来确定最受好评的iPhone和Android健康应用程序,这些应用程序代表来自5种2型糖尿病自我管理策略类别的29个主题。这些主题选自已发布的国际糖尿病管理指南。高级作者(KH)使用基于传统行为理论的行为理论内容调查(BTS)评估了发现这些主题的最受欢迎的应用。卫生专业人员开发并试用了一种辅助使用应用程序时进行决策的工具,以方便使用和理解。结果总共评估了14个代表自我管理的所有五个主题类别的应用程序。所有应用程序的理论总得分(BTS得分)均不到100分(满分50分)。对于所有四种行为理论以及20种行为策略中的大多数,每个应用程序的得分都不及总BTS得分的50%;但是,针对与他们的主要关注点相关的特定策略,应用程序获得的总得分可能超过BTS总得分的50%。我们的研究结果表明,与独立治疗应用程序结合使用时,所研究的应用程序将更加有效。根据主题和核心干预策略对应用程序进行了分类。根据应用程序分类和以患者为中心的护理原则,开发了将应用程序与已确定的患者需求匹配的框架。该方法已被卫生从业人员的便利样本很好地接受和理解。结论所介绍的框架可供医疗从业人员用来使应用程序更好地满足客户需求。一些应用程序包含行为理论的高度交互策略,当用作辅助程序时,可能会增加患者的参与度和治疗效果。

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