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

Design and Usability of Websites for Special User Groups (198) Web-based and Mobile Health Interventions (3587) Human Factors and Usability Case Studies (881) User-centred Design Case Studies (635) Usability Evaluation Case Studies (220)

Published on in Vol 9, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31317, first published .
Developing an Educational Website for Women With Endometriosis-Associated Dyspareunia: Usability and Stigma Analysis

Developing an Educational Website for Women With Endometriosis-Associated Dyspareunia: Usability and Stigma Analysis

Developing an Educational Website for Women With Endometriosis-Associated Dyspareunia: Usability and Stigma Analysis

Authors of this article:

Abdul-Fatawu Abdulai1 Author Orcid Image ;   A Fuchsia Howard1 Author Orcid Image ;   Paul J Yong2 Author Orcid Image ;   Heather Noga3 Author Orcid Image ;   Gurkiran Parmar2 Author Orcid Image ;   Leanne M Currie1 Author Orcid Image
Article Authors Cited by (13) Tweetations Metrics

Journals

  1. Goldstein A, Cohen S. Self-report symptom-based endometriosis prediction using machine learning. Scientific Reports 2023;13(1) View
  2. Abdulai A, Howard A, Yong P, Currie L, Kocaballi B. Defining destigmatizing design guidelines for use in sexual health-related digital technologies: A Delphi study. PLOS Digital Health 2023;2(7):e0000223 View
  3. Kocas H, Rubin L, Lobel M. Stigma and mental health in endometriosis. European Journal of Obstetrics & Gynecology and Reproductive Biology: X 2023;19:100228 View
  4. Mardon A, Leake H, Szeto K, Moseley G, Chalmers K. Recommendations for patient education in the management of persistent pelvic pain: a systematic review of clinical practice guidelines. Pain 2023 View
  5. Gkrozou F, Tsonis O, Sorrentino F, Nappi L, Vatopoulou A, Skentou C, Pandey S, Paschopoulos M, Daniilidis A. Endometriosis Predictive Models Based on Self-Assessment Questionnaire, Evidence from Clinical Examination or Imaging Findings: A Narrative Review. Journal of Clinical Medicine 2024;13(2):356 View
  6. Abdulai A, Howard A, Parmar G, Noga H, Abdul- Ghafoor A, Lisonek M, Yong P. The quality, suitability, and readability of web-based resources on endometriosis-associated dyspareunia: A systematic review. Health Informatics Journal 2024;30(1) View
  7. Abdulai A, Naghdali H, Noga H, Yong P. Patient-Centered Approaches for Designing Destigmatizing Sexual Pain-Related Web-Based Platforms: Qualitative Study. JMIR Formative Research 2024;8:e53742 View
  8. Howard A, Noga H, Kelly M, Gholamian B, Lett S, Sutherland J, Yong P. Women’s Self-Management of Dyspareunia Associated With Endometriosis: A Qualitative Study. The Journal of Pain 2024;25(8):104492 View
  9. Kunze D. Systematizing destigmatization in the context of media and communication: a systematic literature review. Frontiers in Communication 2024;9 View
  10. Breton Z, Stern E, Pinault M, Lhuillery D, Petit E, Panel P, Alexaline M. A Digital Program for Daily Life Management With Endometriosis: Pilot Cohort Study on Symptoms and Quality of Life Among Participants. JMIR Formative Research 2025;9:e58262 View
  11. Abdulai A, Howard A, Yong P, Currie L, Singh A. Addressing technology-mediated stigma in sexual health-related digital platforms: Insights from design team members. PLOS Digital Health 2025;4(2):e0000722 View
  12. Senyel D, Boyd J, Graham M. Informational support for women with endometriosis: a scoping review. BMC Women's Health 2025;25(1) View
  13. Parmar G, Howard A, Noga H, Tannock L, Abdulai A, Allaire C, Lett S, Sutherland J, de Arbina E, Hummelshoj L, Bridge-Cook P, Yong P. Pelvic pain & endometriosis: the development of a patient-centred e-health resource for those affected by endometriosis-associated dyspareunia. BMC Medical Informatics and Decision Making 2025;25(1) View