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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

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The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study

The Persian Version of the Mobile Application Rating Scale (MARS-Fa): Translation and Validation Study

Convergent validity was deemed satisfactory when an item achieved a correlation above r=0.20 with the respective subscale, a threshold used in the Italian [34] and Japanese [38] validation studies. Discriminant validity was deemed satisfactory if more than 80% of the correlation coefficients were higher than those with other subscales [38].

Saeed Barzegari, Ali Sharifi Kia, Marco Bardus, Stoyan R Stoyanov, Marjan GhaziSaeedi, Mouna Rafizadeh

JMIR Form Res 2022;6(12):e42225

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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

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The Arabic Version of the Mobile App Rating Scale: Development and Validation Study

The Arabic Version of the Mobile App Rating Scale: Development and Validation Study

A cutoff point of r>0.80 was deemed a sufficient indication of the validity of the MARS-Ar instrument. All statistical tests were conducted using SPSS v21 [56] for mac OS (Apple Inc, Cupertino, California). The two reviewers completed the evaluation of 67 out of 69 selected apps, using MARS-Ar, and 66 apps, using the MARS English version. One app was incompatible with both test devices, and 2 apps were not working on one of the two devices used.

Marco Bardus, Nathalie Awada, Lilian A Ghandour, Elie-Jacques Fares, Tarek Gherbal, Tasnim Al-Zanati, Stoyan R Stoyanov

JMIR Mhealth Uhealth 2020;8(3):e16956

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