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Managing and Controlling Stress Using mHealth: Systematic Search in App Stores

机译:使用mHealth管理和控制压力:App Store中的系统搜索

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Background Traditional stress management techniques have been proven insufficient to tackle the needs of today’s population. Computational-based techniques and now mobile health (mHealth) apps are showing promise to enable ease of use and access while educating end users on self-management. Objective The main aim of this paper was to put forward a systematic review of mHealth apps for stress management. Methods The scenario chosen for this study consists of a sample of the most relevant mHealth apps found on the British and Spanish online stores of the two main mobile operating systems: iOS and Android. The apps have been categorized and scored base on their impact, presence, number of results, language, and operating system. Results A total of 433 different mobile apps for stress management was analyzed. Of these apps, 21.7% (94/433) belonged to the “relaxing music” category, 10.9% (47/433) were in the “draw and paint” category, 1.2% (5/433) belonged to the “heart rate control” category, and 1.2% (5/433) fell under “integral methodology.” Only 2.0% (8/433) of the apps qualified as high or medium interest while 98.0% were low interest. Furthermore, 2.0% (8/433) of the apps were available on both iOS and Android, and 98% of apps ran on only one platform (iOS or Android). Conclusions There are many low-value apps available at the moment, but the analysis shows that they are adding new functionalities and becoming fully integrated self-management systems with extra capabilities such as professional assistance services and online support communities.
机译:背景技术传统的压力管理技术已被证明不足以解决当今人口的需求。基于计算的技术以及现在的移动健康(mHealth)应用程序都显示出有望实现易用性和访问性,同时向最终用户提供自我管理方面的教育。目的本文的主要目的是对压力管理的mHealth应用程序进行系统的综述。方法本研究选择的方案包括在两个主要移动操作系统:iOS和Android的英国和西班牙在线商店中找到的最相关的mHealth应用程序的样本。这些应用已根据其影响,存在,结果数量,语言和操作系统进行了分类和评分。结果总共分析了433种用于压力管理的移动应用程序。在这些应用中,21.7%(94/433)属于“放松音乐”类别,10.9%(47/433)属于“绘画”类别,1.2%(5/433)属于“心率”控制”类别,而“整体方法”则为1.2%(5/433)。只有2.0%(8/433)的应用程序具有高兴趣或中等兴趣,而98.0%的应用程序属于低兴趣。此外,iOS和Android上都可以使用2.0%(8/433)的应用程序,而98%的应用程序只能在一个平台(iOS或Android)上运行。结论当前有许多低价值的应用程序可用,但是分析表明,它们正在添加新功能,并成为具有诸如专业协助服务和在线支持社区之类的附加功能的完全集成的自我管理系统。

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