Exploring Proof of Concept for a Novel Web-Based Self-Management Support Intervention for Polycystic Ovary Syndrome: Multimethod Study
Bibliographic record
Abstract
BACKGROUND: Polycystic ovary syndrome (PCOS) is a common chronic hormonal condition affecting 8%-13% of women and individuals assigned female at birth. Symptoms may include subfertility, menstrual, skin, and metabolic problems, with long-term health risks including diabetes and cardiovascular disease. PCOS has a significant negative impact on mental health, quality of life, and well-being. We explored proof of concept for a web-based self-management support intervention, "Hope PCOS," designed to reduce anxiety and depression and increase positive well-being for women living with PCOS. OBJECTIVE: We aim to pilot the intervention to test feasibility for web-based recruitment and delivery, acceptability, and potential to reduce anxiety and depression and increase positive well-being. METHODS: Women with PCOS were recruited via social media with support from a patient advocacy charity and offered places on a 6-session cohort of the intervention. In a pre-post design, participants reported depression (Patient Health Questionnaire 9-Items), anxiety (Generalized Anxiety Disorder 7-Items), well-being (Warwick-Edinburgh Mental Wellbeing Scale), hope (SHS [State Hope Scale]), and gratitude (GQ-6 [Gratitude Questionnaire]) at baseline and 6 weeks. All participants who accessed 3 or more sessions were invited to a follow-up qualitative interview to explore user experience. Data from 8 interviews were thematically analyzed, and pre-post data were explored with descriptive statistics. RESULTS: A total of 63 eligible women responded and were given access to the intervention. Three withdrew, leaving a baseline sample of 60, aged 20-58 (median 30, IQR 25-36) years. Further, 48 of the 60 started, of whom 46% (22/48) completed at least 3 sessions, and 29% (14/48) completed all 6. Additionally, 8 women (aged 25-38, median 29, IQR 26-35) years who completed between 3 and 6 sessions reported acceptability and experiences in exit interviews, including prioritizing self-care, developing a self-management mindset, setting motivating goals, improved mental health, self-compassion, reduced shame, openness about PCOS, preparedness for future health concerns, and continuing practice to consolidate behavior change. Furthermore, 11 women aged 25-43 (median 31, IQR 27-37) years, who completed 1-6 sessions (median 6, IQR 6-6), completed pre- and postintervention outcomes. Descriptive quantitative analysis indicated decreases in anxiety and depression and increases in hope agency, hope pathways, and gratitude. There was a meaningful (≥3 points) increase in well-being. Among patients with baseline and follow-up data, 73% (8/11) met clinical caseness for depression at baseline and 36% (4/11) post intervention. CONCLUSIONS: We explored proof of concept. Web-based recruitment and delivery online were feasible. We detected early signs of acceptability and potential benefits for anxiety, depression, and positive well-being that warrant testing in a controlled trial. Future research should assess the feasibility of a randomized controlled trial to evaluate effectiveness, acceptability, and cost-effectiveness.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".