Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/71118, first published .
Mobile Apps Designed for Patients With Polycystic Ovary Syndrome: Content Analysis Using the Mobile App Rating Scale

Mobile Apps Designed for Patients With Polycystic Ovary Syndrome: Content Analysis Using the Mobile App Rating Scale

Mobile Apps Designed for Patients With Polycystic Ovary Syndrome: Content Analysis Using the Mobile App Rating Scale

Zahra Arabkermani   1 , PhD ;   Saeed Barzegari   1 , PhD ;   Atefeh Rouhani   2 , BSc ;   Nilofar Nahavandi   2 , BSc ;   Omer Gibreel   3 , PhD ;   Ibrahim Arpaci   3, 4, 5 , PhD

1 Department of Paramedicine, Amol School of Paramedical Sciences, Mazandaran University of Medical Sciences, Sari, Iran

2 Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran

3 Management Information Systems, College of Business Administration, Gulf University for Science and Technology, Mishref, Kuwait

4 Department of Software Engineering, Faculty of Engineering and Natural Sciences, Bandirma Onyedi Eylul University, Balıkesir, Turkey

5 Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, Republic of Korea

Corresponding Author:

  • Atefeh Rouhani, BSc
  • Student Research Committee
  • Mazandaran University of Medical Sciences
  • Farah Abad Street, 1454
  • Sari 48175
  • Iran
  • Phone: 09369118477
  • Email: Atefe_rouhani@yahoo.com