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

Formative Evaluation of Digital Health Interventions (3490) Obstetrics, Gynecology, and Reproductive Medicine (345) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1822) mHealth for Screening (311) Symptom Checkers (45)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/65469, first published .
Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

Exploring Self-Reported Symptoms for Developing and Evaluating Digital Symptom Checkers for Polycystic Ovarian Syndrome, Endometriosis, and Uterine Fibroids: Exploratory Survey Study

Authors of this article:

Aidan P Wickham1 Author Orcid Image ;   Yella Hewings-Martin1 Author Orcid Image ;   Frederick GB Goddard1 Author Orcid Image ;   Allison K Rodgers2 Author Orcid Image ;   Adam C Cunningham1 Author Orcid Image ;   Carley Prentice1 Author Orcid Image ;   Octavia Wilks1 Author Orcid Image ;   Yusuf C Kaplan1 Author Orcid Image ;   Andrei Marhol1 Author Orcid Image ;   András Meczner1 Author Orcid Image ;   Heorhi Stsefanovich1 Author Orcid Image ;   Anna Klepchukova1 Author Orcid Image ;   Liudmila Zhaunova1 Author Orcid Image
Article Authors Cited by (5) Tweetations Metrics

Journals

  1. Hedges M, Hewings-Martin Y, Karam J, Castaneda R, Cunningham A, Xu Y, Zhaunova L, Faubion S, Shufelt C. Global perspectives on perimenopause: a digital survey of knowledge and symptoms using the Flo application. Menopause 2026 View
  2. Xu Y, Prentice C, Torres-Rueda S, Meczner A, Multmeier J, Wickham A, Kelly L, Klepchukova A, Stsefanovich H, Zhaunova L. Economic evaluation of a digital symptom checker for endometriosis using a Markov decision process model. npj Digital Medicine 2026;9(1) View
  3. Gupta S, . A, Doke G, Misra D, Shukla A, Honey B. Shared Pathophysiology and Early Detection Biomarkers in Endometriosis and Polycystic Ovary Syndrome (PCOS): Opportunities for AI-Enabled Screening. Cureus 2026 View
  4. Rostami Z, Nemati-Anaraki L, Sedghi S, Mirabi P, Zahedi R. Identifying the dimensions and components influencing health literacy and self-care in endometriosis: a scoping review. Reproductive Health 2026 View

Conference Proceedings

  1. Doughty F, Sillence E, Harrison D, Smith M. Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems. "It is not our job to educate you": Exploring Perceptions of AI-Integrated Menstrual Tracking Apps Through Speculative Reflection View