Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/52427, first published .
Developing a Novel Web-Based Self-Management Support Intervention for Polycystic Ovary Syndrome: Mixed Methods Study With Patients and Health Care Professionals

Developing a Novel Web-Based Self-Management Support Intervention for Polycystic Ovary Syndrome: Mixed Methods Study With Patients and Health Care Professionals

Developing a Novel Web-Based Self-Management Support Intervention for Polycystic Ovary Syndrome: Mixed Methods Study With Patients and Health Care Professionals

Authors of this article:

Carol Percy1 Author Orcid Image ;   Andrew Turner1 Author Orcid Image ;   Charys Orr2 Author Orcid Image

Journals

  1. Shamanna P, Maheshwari A, Keshavamurthy A, Bhat S, Kulkarni A, R S, K K, Gupta M, Thajudeen M, Kulkarni R, Patil S, Joshi S. Digital Twin Technology in Resolving Polycystic Ovary Syndrome and Improving Metabolic Health: A Comprehensive Case Study. AACE Clinical Case Reports 2025;11(1):70 View
  2. Khademi A, Heydari Aghdam b, Hajiesmaello M. THE EFFECT OF ACCEPTANCE AND COMMITMENT-BASED INTERVENTION ON SENSE OF COHERENCE AND INTERPRETATION BIAS IN WOMEN WITH POLYCYSTIC OVARY SYNDROME (PCOS). Nursing and Midwifery Journal 2025;22(11):923 View
  3. Parker J, Briden L, Gersh F. Recognizing the Role of Insulin Resistance in Polycystic Ovary Syndrome: A Paradigm Shift from a Glucose-Centric Approach to an Insulin-Centric Model. Journal of Clinical Medicine 2025;14(12):4021 View
  4. Wright P, Burts C, Harmon C, Corbett C. Availability and Use of Digital Technology Among Women With Polycystic Ovary Syndrome: Scoping Review. JMIR Infodemiology 2025;5:e68469 View