Published on in Vol 8, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18339, first published .
Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS)

Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS)

Mobile Phone Apps for Food Allergies or Intolerances in App Stores: Systematic Search and Quality Assessment Using the Mobile App Rating Scale (MARS)

Journals

  1. Maccioni G, Giansanti D. Medical Apps and the Gray Zone in the COVID-19 Era: Between Evidence and New Needs for Cybersecurity Expansion. Healthcare 2021;9(4):430 View
  2. Liu X, Jin F, Hsu J, Li D, Chen W. Comparing Smartphone Apps for Traditional Chinese Medicine and Modern Medicine in China: Systematic Search and Content Analysis. JMIR mHealth and uHealth 2021;9(3):e27406 View
  3. Carrouel F, du Sartz de Vigneulles B, Bourgeois D, Kabuth B, Baltenneck N, Nusbaum F, Burge V, Roy S, Buchheit S, Carrion-Martinaud M, Massoubre C, Fraticelli L, Dussart C. Mental Health Mobile Apps in the French App Store: Assessment Study of Functionality and Quality. JMIR mHealth and uHealth 2022;10(10):e41282 View
  4. Chung J, Huang Y, Weng M, Lin J. The Sustainable Innovation Design in Catering Service. Sustainability 2021;14(1):278 View
  5. Gonzales A, Custodio R, Lapitan M, Ladia M. Mobile applications in the Philippines during the COVID-19 pandemic: systematic search, use case mapping, and quality assessment using the Mobile App Rating Scale (MARS). BMC Digital Health 2023;1(1) View
  6. Muro-Culebras A, Escriche-Escuder A, Martin-Martin J, Roldán-Jiménez C, De-Torres I, Ruiz-Muñoz M, Gonzalez-Sanchez M, Mayoral-Cleries F, Biró A, Tang W, Nikolova B, Salvatore A, Cuesta-Vargas A. Tools for Evaluating the Content, Efficacy, and Usability of Mobile Health Apps According to the Consensus-Based Standards for the Selection of Health Measurement Instruments: Systematic Review. JMIR mHealth and uHealth 2021;9(12):e15433 View
  7. Lee J, Kwon K. Development of customized inner beauty products and customized cosmetics apps according to the use of NRF2 through DTC genetic testing after the COVID‐19 pandemic. Journal of Cosmetic Dermatology 2022;21(6):2288 View
  8. Gerner M, Vuillerme N, Aubourg T, Messner E, Terhorst Y, Hörmann V, Ganzleben I, Schenker H, Schett G, Atreya R, Neurath M, Knitza J, Orlemann T. Review and Analysis of German Mobile Apps for Inflammatory Bowel Disease Management Using the Mobile Application Rating Scale: Systematic Search in App Stores and Content Analysis. JMIR mHealth and uHealth 2022;10(5):e31102 View
  9. Holl F, Flemisch F, Swoboda W, Schobel J. Apps for Covid-19 in Germany: assessment using the German Mobile App Rating Scale. JAMIA Open 2022;5(4) View
  10. Carrouel F, Bourgeois D, Clément C, Tardivo D, Martinon P, Guiral S, Lan R, Viennot S, Dussart C, Fraticelli L. Oral-Hygiene-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. International Journal of Environmental Research and Public Health 2022;19(12):7293 View
  11. Ko S, Lee J, An D, Woo H. Menstrual Tracking Mobile App Review by Consumers and Health Care Providers: Quality Evaluations Study. JMIR mHealth and uHealth 2023;11:e40921 View
  12. Hinojosa-Nogueira D, Ortiz-Viso B, Navajas-Porras B, Pérez-Burillo S, González-Vigil V, de la Cueva S, Rufián-Henares J. Stance4Health Nutritional APP: A Path to Personalized Smart Nutrition. Nutrients 2023;15(2):276 View
  13. Yamamoto K, Ito M, Sakata M, Koizumi S, Hashisako M, Sato M, Stoyanov S, Furukawa T. Japanese Version of the Mobile App Rating Scale (MARS): Development and Validation. JMIR mHealth and uHealth 2022;10(4):e33725 View
  14. Wu X, Xu L, Li P, Tang T, Huang C. Multipurpose Mobile Apps for Mental Health in Chinese App Stores: Content Analysis and Quality Evaluation. JMIR mHealth and uHealth 2022;10(1):e34054 View
  15. Martinon P, Saliasi I, Bourgeois D, Smentek C, Dussart C, Fraticelli L, Carrouel F. Nutrition-Related Mobile Apps in the French App Stores: Assessment of Functionality and Quality. JMIR mHealth and uHealth 2022;10(3):e35879 View
  16. Wu A, Walsh R, Wang A. Assessment of the quality of mobile apps for food allergy. The Journal of Allergy and Clinical Immunology: In Practice 2022;10(6):1658 View
  17. Mendi O, Kiymac Sari M, Stoyanov S, Mendi B. Development and validation of the Turkish version of the Mobile App Rating Scale – MARS-TR. International Journal of Medical Informatics 2022;166:104843 View
  18. 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
  19. Fan Y, Wang Z, Deng S, Lv H, Wang F. The function and quality of individual epidemic prevention and control apps during the COVID-19 pandemic: A systematic review of Chinese apps. International Journal of Medical Informatics 2022;160:104694 View
  20. Scantling-Birch Y, Naveed H, Mukhija R, Nanavaty M. A Review of Smartphone Apps Used for Toric Intraocular Lens Calculation and Alignment. Vision 2022;6(1):13 View
  21. Hatem S, Long J, Best S, Fehlberg Z, Nic Giolla Easpaig B, Braithwaite J. Mobile Apps for People With Rare Diseases: Review and Quality Assessment Using Mobile App Rating Scale. Journal of Medical Internet Research 2022;24(7):e36691 View
  22. Hörold M, Apfelbacher C, Gerhardinger K, Rohr M, Schimmelpfennig M, Weigt J, Brandstetter S. Parents’ and Health Care Professionals’ Perspectives on Prevention and Prediction of Food Allergies in Children: Protocol for a Qualitative Study. JMIR Research Protocols 2023;12:e41436 View
  23. Ebrahimi N, Mohammadzadeh N, Ayyoubzadeh S. Evaluation of overweight control applications with cognitive‐behavioral therapy approach: A systematic review. Health Science Reports 2023;6(3) View
  24. Geng L, Jiang G, Yu L, Xu Y, Huang W, Chen Z, Qi X, Zhang T, Zhao M. The Most Popular Commercial Weight Management Apps in the Chinese App Store: Analysis of Quality, Features, and Behavior Change Techniques. JMIR mHealth and uHealth 2023;11:e50226 View
  25. Jannati N, Salehinejad S, Kuenzig M, Peña-Sánchez J. Review and content analysis of mobile apps for inflammatory bowel disease management using the mobile application rating scale (MARS): Systematic search in app stores. International Journal of Medical Informatics 2023;180:105249 View
  26. Sviatenko T, Gogunska I, Semigina T, Kasianenko L, Salei O, Prokopenko M. The Role of Mobile Applications in the Doctor’s Working Time Management System. International Journal of Statistics in Medical Research 2022;11:66 View
  27. Huyan J, Ramkissoon C, Laka M, Gaskin S. Assessing the Usefulness of Mobile Apps for Noise Management in Occupational Health and Safety: Quantitative Measurement and Expert Elicitation Study. JMIR mHealth and uHealth 2023;11:e46846 View
  28. Pongdee T, Brunner W, Kanuga M, Sussman J, Wi C, Juhn Y. Rural Health Disparities in Allergy, Asthma, and Immunologic Diseases: The Current State and Future Direction for Clinical Care and Research. The Journal of Allergy and Clinical Immunology: In Practice 2024;12(2):334 View
  29. Izquierdo-García E, Lázaro-Cebas A, Montero Pastor B, Such Díaz A, Álvaro-Alonso E, López Guerra L, Escobar-Rodríguez I. Design of mobile and website health application devices for drug tolerability in hereditary fructose intolerance. Orphanet Journal of Rare Diseases 2024;19(1) View
  30. Sánchez-Fernández S, Lasa E, Terrados S, Sola-Martínez F, Martínez-Molina S, López de Calle M, Cabrera-Freitag P, Goikoetxea M. Mobile App/Web Platform for Monitoring Food Oral Immunotherapy in Children: Longitudinal Clinical Validation Study. JMIR Pediatrics and Parenting 2024;7:e54163 View
  31. Fan Q, Hoang M, DuBose L, Ory M, Vennatt J, Salha D, Lee S, Falohun T. The Olera.care Digital Caregiving Assistance Platform for Dementia Caregivers: Preliminary Evaluation Study. JMIR Aging 2024;7:e55132 View

Books/Policy Documents

  1. Agrawal A, Hussain C. Smartphone-Based Detection Devices. View