Currently accepted at: JMIR mHealth and uHealth
Date Submitted: Sep 4, 2017
Open Peer Review Period: Sep 4, 2017 - Sep 21, 2017
Date Accepted: Nov 6, 2017
(closed for review but you can still tweet)
Managing and Controlling Stress Using mHealth: Systematic Search in App Stores
Traditional stress management techniques have been proven insufficient to tackle the needs of todayâ€™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.
The main aim of this paper was to put forward a systematic review of mHealth apps for stress management.
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.
A total of 433 different mobile apps for stress management was analyzed. Of these apps, 21.7% (94/433) belonged to the â€œrelaxing musicâ€ category, 10.9% (47/433) were in the â€œdraw and paintâ€ category, 1.2% (5/433) belonged to the â€œheart rate controlâ€ category, and 1.2% (5/433) fell under â€œintegral methodology.â€ 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).
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.
Per the author's request the PDF is not available.
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