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Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale
- Source :
- BMC Medical Informatics and Decision Making, Vol 22, Iss 1, Pp 1-11 (2022)
- Publication Year :
- 2022
- Publisher :
- BMC, 2022.
-
Abstract
- Abstract Background The purpose of this study was to evaluate HIV/AIDS mobile applications using the Mobile App Rating Scale (MARS) and rate the features of these applications using the new tool called the Feature-based Application Rating Method (FARM). Methods In this study, all available HIV/AIDS apps in Iran from Cafe Bazaar and Google Play Store due to inclusion criteria were studied. The evaluation of the quality of applications was done using the MARS tool and the FARM tool. The FARM, which was developed in this study, was applied to rank the features of the applications. Results In this study, 79 applications were included. The mean score of all apps using both tools was 3.58 (SD = 0.95) out of 5. The overall mean quality score based on the MARS was 3.14 (SD = 0.84), and the mean score of features based on FARM was 3.81 (SD = 1.23). This study showed a higher than moderate correlation between the scores assigned to apps based on the MARS and FARM tools (r > 0.4). Conclusions The HIV/AIDS mobile applications available in Iran had the "acceptable" ranking. Also, our study results showed that to evaluate mobile apps, using a single tool may not provide good insight to evaluators about the assessed apps. However, using more than one tool may provide more details about the evaluated apps. To improve the quality of mobile health apps and help users select the most desirable app, we suggested using tools like FARM for ranking apps based on the features of each app in the app stores.
Details
- Language :
- English
- ISSN :
- 14726947
- Volume :
- 22
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- BMC Medical Informatics and Decision Making
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.27cbc101d23348c9b4664d224db1319f
- Document Type :
- article
- Full Text :
- https://doi.org/10.1186/s12911-022-02029-8