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

Document Type : Original Article

Authors

1 Assistant Professor of Health Information Management, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

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

3 Associate Professor of Library and Information Sciences, Health Information Technology Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.

4 M.Sc. in Medical Library and Information Science, School of Management and Medical Information Science, Isfahan University of Medical Sciences, Isfahan, Iran.

10.22038/ijogi.2024.73111.5750

Abstract

Introduction: Mobile applications during pregnancy can help pregnant women improve health care for themselves and their infants. In this regard, using valid and reliable evaluation tools is a good solution. Mobile application rating scale (MARS) is one of the valid tools in English to measure the quality of these programs, whose Persian version was validated in the field of pregnancy in this study.
Methods: The cross-sectional study, the Mobile App Rating Scale (MARS) 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. Face validity, content validity (CVR, CVI) and criterion validity (convergent and divergent) were calculated by Cronbach's alpha method and evaluators' agreement. Eleven specialists in the field of medical informatics and health information management participated in the content validity stage and two midwifery experts participated in the evaluation stage of midwifery applications. Pearson and intra-class correlation coefficient and student t-test were used in SPSS software (version 25).
Results: In the content validity assessment stage, all 23 items were confirmed, and some edits needed to maintain the clarity and simplicity of the items was done. Convergent and divergent validity was confirmed. There was correlation coefficient between the score of the subscales (engagement, functionality, aesthetics, and information) with the total score of MARS from 0.85 to 0.92 for the first evaluator and from 0.77 to 0.92 for the second evaluator. There was a positive and significant relationship between the evaluators' opinion in ranking the quality of all subscales of 44 pregnancy apps. Cronbach's alpha for the whole scale was calculated to be 0.93 and 0.91 in two assessments.
Conclusion: According to the indicators calculated in this study, Mobile App Rating Scale (MARS) is a valid and reliable tool in the field of pregnancy. The results of this study can be used by specialists, designers and evaluators of mobile applications in the field of pregnancy and pregnant women are its main beneficiaries.

Keywords

Main Subjects


  1. Hussain T, Smith P, Yee LM. Mobile phone–based behavioral interventions in pregnancy to promote maternal and fetal health in high-income countries: systematic review. JMIR mHealth and uHealth 2020; 8(5):e15111.
  2. Osma J, Barrera AZ, Ramphos E. Are pregnant and postpartum women interested in health-related apps? Implications for the prevention of perinatal depression. Cyberpsychology, Behavior, and Social Networking 2016; 19(6):412-5.
  3. Frid G, Bogaert K, Chen KT. Mobile health apps for pregnant women: systematic search, evaluation, and analysis of features. Journal of medical Internet research 2021; 23(10):e25667.
  4. Chan KL, Chen M. Effects of social media and mobile health apps on pregnancy care: meta-analysis. JMIR mHealth and uHealth 2019; 7(1):e11836.
  5. Brown HM, Bucher T, Collins CE, Rollo ME. A review of pregnancy iPhone apps assessing their quality, inclusion of behaviour change techniques, and nutrition information. Maternal & child nutrition 2019; 15(3):e12768.
  6. Domnich A, Arata L, Amicizia D, Signori A, Patrick B, Stoyanov S, et al. Development and validation of the Italian version of the Mobile Application Rating Scale and its generalisability to apps targeting primary prevention. BMC Medical Informatics and Decision Making 2016;16:1-10.
  7. Stoyanov SR, Hides L, Kavanagh DJ, Zelenko O, Tjondronegoro D, Mani M. Mobile app rating scale: a new tool for assessing the quality of health mobile apps. JMIR mHealth and uHealth 2015; 3(1):e3422.
  8. Gong E, Zhang Z, Jin X, Liu Y, Zhong L, Wu Y, et al. Quality, functionality, and features of Chinese mobile apps for diabetes self-management: systematic search and evaluation of mobile apps. JMIR mHealth and uHealth 2020; 8(4):e14836.
  9. Knitza J, Tascilar K, Messner EM, Meyer M, Vossen D, Pulla A, et al. German mobile apps in rheumatology: review and analysis using the Mobile Application Rating Scale (MARS). JMIR mHealth and uHealth 2019; 7(8):e14991.
  10. Salazar A, de Sola H, Failde I, Moral-Munoz JA. Measuring the quality of mobile apps for the management of pain: systematic search and evaluation using the mobile app rating scale. JMIR mHealth and uHealth 2018; 6(10):e10718.
  11. Barzegari S, Sharifi Kia A, Bardus M, Stoyanov SR, GhaziSaeedi M, Rafizadeh M. The Persian version of the Mobile Application Rating Scale (MARS-Fa): translation and validation study. JMIR formative research 2022; 6(12):e42225.
  12. Terhorst Y, Philippi P, Sander LB, Schultchen D, Paganini S, Bardus M, et al. Validation of the mobile application rating scale (MARS). Plos one 2020; 15(11):e0241480.
  13. Lawshe CH. A quantitative approach to content validity, Personal Psychology 1975; 28(4):563-575.
  14. Waltz CF. Nursing research: Design, statistics, and computer analysis. FA Davis. 1981.
  15. Bardus M, Awada N, Ghandour LA, Fares EJ, Gherbal T, Al-Zanati T, et al. The Arabic version of the Mobile App Rating Scale: development and validation study. JMIR mHealth and uHealth 2020; 8(3):e16956.
  16. Messner EM, Terhorst Y, Barke A, Baumeister H, Stoyanov S, Hides L, et al. The German version of the Mobile App Rating Scale (MARS-G): development and validation study. JMIR mHealth and uHealth 2020; 8(3):e14479.
  17. Lazard AJ, Brennen JS, Belina SP. App designs and interactive features to increase mHealth adoption: user expectation survey and experiment. JMIR mHealth and uHealth 2021; 9(11):e29815.
  18. Bardus M, van Beurden SB, Smith JR, Abraham C. A review and content analysis of engagement, functionality, aesthetics, information quality, and change techniques in the most popular commercial apps for weight management. International Journal of Behavioral Nutrition and Physical Activity 2016; 13:1-9.
  19. Stenalt MH, Godsk M. The pleasure of e-learning: Towards aesthetic e-learning platforms. InProceedings of the 12th international conference of european university information systems 2006:210-212. University of Tartu.