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Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation

Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation

The original MARS was developed by Stoyanov and colleagues [13] to establish a multidimensional measure able to classify and evaluate the objective and subjective quality of m Health apps. The main part of this original version of MARS consisted of 23 items. The objective evaluation of m Health app quality included 4 subscales: engagement (items 1-5), functionality (items 6-9), aesthetics (items 10-12), and information (items 13-19). The subjective quality subscale consisted of 4 items (items 20-23).

Kazumichi Yamamoto, Masami Ito, Masatsugu Sakata, Shiho Koizumi, Mizuho Hashisako, Masaaki Sato, Stoyan R Stoyanov, Toshi A Furukawa

JMIR Mhealth Uhealth 2022;10(4):e33725

The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study

The German Version of the Mobile App Rating Scale (MARS-G): Development and Validation Study

We followed the rating methodology in the original study by Stoyanov and colleagues [16]. We created a You Tube video with an introduction on MARS-G rating and an exercise on how to rate an app used as an exemplary health app (Track Your Tinnitus) [27]. This video can be requested from the corresponding author. Each rater was trained using this video, and five predefined apps were then rated to ensure that each rater was appropriately trained.

Eva-Maria Messner, Yannik Terhorst, Antonia Barke, Harald Baumeister, Stoyan Stoyanov, Leanne Hides, David Kavanagh, Rüdiger Pryss, Lasse Sander, Thomas Probst

JMIR Mhealth Uhealth 2020;8(3):e14479

The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol

The Quality and Accuracy of Mobile Apps to Prevent Driving After Drinking Alcohol

Both raters underwent MARS training, as suggested by Stoyanov and colleagues [12] and followed the steps presented in the You Tube training tutorial [17]. To address information-specific items, a researcher specializing in drink driving information and behavior provided a 1-hour structured information session to each rater before app evaluation. For item 19 relating to evidence base, raters conducted a literature search in Google Scholar utilizing the app name as a search term.

Hollie Jai Wilson, Stoyan R Stoyanov, Shailen Gandabhai, Alexander Baldwin

JMIR Mhealth Uhealth 2016;4(3):e98