Online Cognitive-Behavioral Programs for Women Living With Endometriosis: Protocol for a Scoping Review
Olivia S Parker1, Sean R Locke1, Kimberley L Gammage1
1Department of Kinesiology, Brock University, 1812 Sir Isaac Brock Way, St. Catharines, ON, L2S 3A1, Canada, 1 905-688-5550 ext 4958.
JMIR Research Protocols
|December 9, 2025
Summary
This scoping review examines online programs for endometriosis symptom management. It identifies key behavior change techniques (BCTs) to inform future effective online interventions for women with endometriosis.
Area of Science:
- Reproductive Health
- Digital Health Interventions
- Behavioral Science
Background:
- Endometriosis affects 10% of women globally, causing chronic pain, fatigue, and mental health issues.
- Current treatments often focus on acute symptom relief, neglecting the lifelong nature of endometriosis.
- There is a need for accessible, multimodal, and complementary approaches for managing endometriosis symptoms.
Purpose of the Study:
- To conduct a scoping review of online cognitive-behavioral programs for endometriosis symptom management.
- To identify and categorize the behavior change techniques (BCTs) employed within these online programs.
Main Methods:
- Utilizing the Arksey and O'Malley framework with stakeholder consultation and Joanna Briggs Institute guidelines.
- Searching multiple databases (Ovid MEDLINE, Embase, CINAHL, PsycINFO, SPORTDiscus) for studies published from 2014 onwards.
- Applying the BCTs Taxonomy v1 for coding interventions and analyzing study characteristics and outcomes.
Main Results:
- The review will systematically collate data on online interventions for endometriosis symptom management.
- Key BCTs within existing online programs will be identified and analyzed.
- The characteristics and reported outcomes of these digital health interventions will be summarized.
Conclusions:
- This review will provide a comprehensive overview of current online endometriosis management programs.
- Findings will highlight gaps in existing interventions and guide the development of more effective digital health solutions.
- The identification of BCTs will support the creation of evidence-based online tools for long-term endometriosis symptom management.
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