The Use of an Adapted Health IT Usability Evaluation Model (Health-ITUEM) for Evaluating Consumer Reported Ratings of Diabetes mHealth Applications: Implications for Diabetes Care and Management.

The Use of an Adapted Health IT Usability Evaluation Model (Health-ITUEM) for Evaluating Consumer Reported Ratings of Diabetes mHealth Applications: Implications for Diabetes Care and Management.
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DOI:
10.5455/aim.2015.23.290-295
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发表时间:
2015-10-01
期刊:
Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH
影响因子:
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通讯作者:
Aldossari, Bakheet
Aldossari, Bakheet
中科院分区:
其他
文献类型:
--
作者:
Househ, Mowafa S;Shubair, Mamdouh M;Aldossari, Bakheet

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背景:本文的目的是使用一种适应性的健康IT可用性评估模型(Health- ituem)对主要糖尿病移动健康应用程序的消费者评级进行可用性分析。方法:采用定性内容分析方法,分析发布在Android Market和谷歌Play上的四种主要糖尿病移动健康应用程序的公开消费者报告数据。健康- ituem概念包括信息需求、灵活性/可定制性、可学习性、执行速度和能力,指导了数据的分类和分析。对健康的影响是研究中附加的一个类别。本研究共收集了2014年1月9日至2014年2月17日期间的405个消费者评价。结果:总体而言,消费者对领先的糖尿病移动健康应用程序的可用性和健康影响的评分都是积极的。移动医疗应用程序的性能速度和消费者的信息需求是影响糖尿病移动医疗应用程序使用的主要可用性因素。也有证据表明这类应用对健康有积极影响。结论:消费者更有可能使用性能良好且满足其信息需求的糖尿病相关移动健康应用程序。此外,有初步证据表明糖尿病移动健康应用程序可以对患者的健康产生积极影响。
BACKGROUND: The aim of this paper is to present a usability analysis of the consumer ratings of key diabetes mHealth applications using an adapted Health IT Usability Evaluation Model (Health-ITUEM).METHODS: A qualitative content analysis method was used to analyze publicly available consumer reported data posted on the Android Market and Google Play for four leading diabetes mHealth applications. Health-ITUEM concepts including information needs, flexibility/customizability, learnability, performance speed, and competency guided the categorization and analysis of the data. Health impact was an additional category that was included in the study. A total of 405 consumers' ratings collected from January 9, 2014 to February 17, 2014 were included in the study.RESULTS: Overall, the consumers' ratings of the leading diabetes mHealth applications for both usability and health impacts were positive. The performance speed of the mHealth application and the information needs of the consumers were the primary usability factors impacting the use of the diabetes mHealth applications. There was also evidence on the positive health impacts of such applications.CONCLUSIONS: Consumers are more likely to use diabetes related mHealth applications that perform well and meet their information needs. Furthermore, there is preliminary evidence that diabetes mHealth applications can have positive impact on the health of patients.