Validation of the Persian Version of the Mobile Application Rating Scale (MARS) in pregnancy

Document Type : Original Article

Authors

1 Assistant Professor of Health Sciences, Social Determinants of Health Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

2 School of Management and Medical, Information Sciences, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran

3 MSc. Students, Medical Library and Information Sciences, School of Management and Medical Information, Isfahan University of Medical Sciences, Isfahan, Iran.

10.22038/ijogi.2024.73111.5750

Abstract

The descriptive study was conducted in 2021. The Mobile App Rating Scale (MARS) was selected for psychometrics. For this purpose, it was translated into Persian and back-translated into English and compared with the original format. In the next step, the Persian version of MARS was used to evaluate 44 Persian mobile applications in the field of pregnancy in Iran. Face validity, content validity (CVR, CVI) and criterion validity (convergent and divergent) were calculated. Interrater agreement and reliability were measured by Cronbach's alpha method. Eleven specialists in the field of medical informatics and health information management participated in the content validity phase and two midwifery experts in the evaluation phase of pregnancy apps through the MARS scale. Pearson and intra-class correlation coefficient in SPSS 25 software used to report the data.

In the content validity assessment stage, no items were deleted according to the calculated scores, and some edits were needed to maintain the clarity and simplicity of the items. Convergent and divergent validity was confirmed compared to other subscales due to the greater correlation of each item with its own subscale. There was a positive and significant relationship between the evaluators' opinion in ranking the quality of all dimensions of pregnancy apps (engagement, functionality, aesthetics, information and subjective quality). Intra-class correlation coefficient between evaluators (0.74, CI: 0.53-0.85) was good. Cronbach's alpha was calculated to be 0.93 for the whole scale.

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