This paper is in the following e-collection/theme issue:

Design and Formative Evaluation of Mobile Apps (745) mHealth for Data Collection and Research (1080)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/33725, first published .
Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation

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

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

Authors of this article:

Kazumichi Yamamoto1, 2 Author Orcid Image ;   Masami Ito1 Author Orcid Image ;   Masatsugu Sakata1 Author Orcid Image ;   Shiho Koizumi3 Author Orcid Image ;   Mizuho Hashisako4 Author Orcid Image ;   Masaaki Sato5 Author Orcid Image ;   Stoyan R Stoyanov6 Author Orcid Image ;   Toshi A Furukawa1 Author Orcid Image
Article Authors Cited by (21) Tweetations (29) Metrics

Journals

  1. Raeesi A, Khajouei R, Ahmadian L. Evaluating and rating HIV/AIDS mobile apps using the feature-based application rating method and mobile app rating scale. BMC Medical Informatics and Decision Making 2022;22(1) View
  2. Ajay K, Azevedo L, Haste A, Morris A, Giles E, Gopu B, Subramanian M, Zohoori F. App-based oral health promotion interventions on modifiable risk factors associated with early childhood caries: A systematic review. Frontiers in Oral Health 2023;4 View
  3. Barzegari S, Sharifi Kia A, Bardus M, Stoyanov S, 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 View
  4. Shinohara Y, Yamamoto K, Ito M, Sakata M, Koizumi S, Hashisako M, Sato M, Wannous M, Stoyanov S, Nakajima J, Furukawa T. Development and validation of the Japanese version of the uMARS (user version of the mobile app rating system). International Journal of Medical Informatics 2022;165:104809 View
  5. Tao X, Zhang X, Mao L, Zhang P, Peiris D. Status, Functions, and Quality of Mobile Applications for Type 2 Diabetes Care in China: Survey Based on App Markets. SSRN Electronic Journal 2022 View
  6. Leal I, Gouvêa E, Campos L, Oliveira A, Teles D, Silva T, Barroso J, Motta A, Furlan R. Aplicativos móveis para o auxílio ao aleitamento materno no Brasil: protocolo de revisão de escopo. Revista CEFAC 2023;25(6) View
  7. Yokomitsu K, Takashina H, Takebayashi Y, Muranaka S. Cultural Adaptation of the Actionable Health App Evaluation in Japan: Protocol for a Web-Based Modified Delphi Expert Consensus Study. JMIR Research Protocols 2023;12:e44469 View
  8. El Yaman N, Zeitoun J, Diab R, Mdaihly M, Diab R, Kobeissi L, Abou Ljoud S, Antoun J, Bardus M. Utilization of patient portals: a cross-sectional study investigating associations with mobile app quality. BMC Medical Informatics and Decision Making 2023;23(1) View
  9. Gould M, Lin C, Walsh C. A Systematic Assessment of the Quality of Smartphone Applications for Gastroesophageal Reflux Disease. Gastro Hep Advances 2023;2(5):733 View
  10. Tao X, Zhang P, Zhang X, Mao L, Peiris D. Features, functions, and quality of mobile applications for type 2 diabetes care in China: Systematic search of app stores. International Journal of Medical Informatics 2023;180:105273 View
  11. Leal I, Gouvêa E, Campos L, Oliveira A, Teles D, Silva T, Barroso J, Motta A, Furlan R. Breastfeeding mobile applications assistance in Brazil: a scoping review protocol. Revista CEFAC 2023;25(6) View
  12. Klug B. An Overview of the Mobile App Rating Scale (MARS) in Health Care Application Assessment. Journal of Hospital Librarianship 2024;24(1):70 View
  13. KABADAYI F, GÜVEN M. Psikolojik Yardım Hizmetlerindeki Mobil Uygulamalarla İlgili Bir İnceleme. Türk Eğitim Bilimleri Dergisi 2023;21(3):1660 View
  14. Meraji M, Sarbaz M, Siahsar M, Mahmoodian S, Ameri F. Evaluation of Mobile Phone Applications relat-ed to COVID-19 Using Mobile App Rating Scale. South Medical Journal 2024;26(6):391 View
  15. Esmaeeli E, Khorashadizadeh M, Rahmani M. Mobile Applications for Hemodialysis: Evaluation Using the Mobile App Rating Scale (MARS). Seminars in Dialysis 2025;38(2):102 View
  16. She W, Siriaraya P, Iwakoshi H, Kuwahara N, Senoo K. An Explainable AI Application (AF’fective) to Support Monitoring of Patients With Atrial Fibrillation After Catheter Ablation: Qualitative Focus Group, Design Session, and Interview Study. JMIR Human Factors 2025;12:e65923 View
  17. Kermani F, Mahmoodi M, Nasiri M, Orooji A. Quality review and content analysis of liver complications mobile apps in Iran: A statistical and machine learning approach. International Journal of Medical Informatics 2025;197:105842 View
  18. Velandrino Nicolás A, Parra Villazala M, Sánchez Roca M, Nieto Garrido E, Cabello Luque F, Álvarez Gómez J. Una aplicación mHealth para autoinforme de síntomas de disfonía: e-VoiSS. Revista de Logopedia, Foniatría y Audiología 2025;45(2):100516 View
  19. Mehrotra S, Tripathi R, Sengupta P, Karishiddimath A, Francis A, Sharma P, Sudhir P, TK S, Rao G, Sagar R. Mental Health Apps Available in App Stores for Indian Users: Protocol for a Systematic Review. JMIR Research Protocols 2025;14:e71071 View
  20. Pavlicek R, Cradock K. Behaviour change techniques, intervention features and usability of diet apps. Preventive Medicine Reports 2025;54:103085 View

Conference Proceedings

  1. Charlie C, Cilliers L. 2024 Conference on Information Communications Technology and Society (ICTAS). Introducing the Chronic Disease mHealth App Quality Evaluation Framework (CHRONIQ) View