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Assessment of the Quality of Mobile Applications (Apps) for Management of Low Back Pain Using the Mobile App Rating Scale (MARS).

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TLDR
The quality of the available mobile applications related to interventions for low back pain generally has good overall quality, especially in terms of functionality and aesthetics, but engagement and information should be improved in most of the apps.
Abstract
Digital health interventions may improve different behaviours. However, the rapid proliferation of technological solutions often does not allow for a correct assessment of the quality of the tools. This study aims to review and assess the quality of the available mobile applications (apps) related to interventions for low back pain. Two reviewers search the official stores of Android (Play Store) and iOS (App Store) for localisation in Spain and the United Kingdom, in September 2019, searching for apps related to interventions for low back pain. Seventeen apps finally are included. The quality of the apps is measured using the Mobile App Rating Scale (MARS). The scores of each section and the final score of the apps are retrieved and the mean and standard deviation obtained. The average quality ranges between 2.83 and 4.57 (mean 3.82) on a scale from 1 (inadequate) to 5 (excellent). The best scores are found in functionality (4.7), followed by aesthetic content (mean 4.1). Information (2.93) and engagement (3.58) are the worst rated items. Apps generally have good overall quality, especially in terms of functionality and aesthetics. Engagement and information should be improved in most of the apps. Moreover, scientific evidence is necessary to support the use of applied health tools.

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Citations
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Review and evaluation of mindfulness-based iPhone apps

TL;DR: In this paper, the authors conducted a systematic review of mindfulness-based iPhone mobile apps and evaluated their quality using a recently developed expert rating scale, the Mobile Application Rating Scale (MARS), which also aimed to describe features of selected high-quality mindfulness apps.
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Identification and Evaluation of Methodologies to Assess the Quality of Mobile Health Apps in High-, Low-, and Middle-Income Countries: Rapid Review.

TL;DR: In this paper, a rapid review aims to identify current methodologies in the literature to assess the quality of mHealth apps, understand what aspects of quality these methodologies address, determine what input has been made by authors from low and middle-income countries (LMICs), and examine the applicability of such methods in LMICs.
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Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation

TL;DR: In this paper , a Japanese version of MARS was developed and shown to be reliable and valid to a degree that was comparable to the original MARS, which can be used as a standard to evaluate the quality and credibility of mHealth apps.
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Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality

TL;DR: In this paper , the authors present a review of nutrition-related mobile apps available on the French market and assess their quality using the Mobile App Rating Scale (MAPS) to identify those related to nutritional health.
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Usability Evaluation and Classification of mHealth Applications for Type 2 Diabetes Mellitus Using MARS and ID3 Algorithm

TL;DR: “mySugr” had the highest average MARS score for both Application Quality as well as Application Subjective Quality and was observed that 6 out of 11 mHealth applications were preferred for the self-management of T2DM.
References
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Theo Vos, +778 more
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