Group-based pelvic floor muscle training is a more cost-effective approach to treat urinary incontinence in older women: economic analysis of a randomised trial
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Bibliographic record
Abstract
QUESTION(S): How cost-effective is group-based pelvic floor muscle training (PFMT) for treating urinary incontinence in older women? DESIGN: Economic evaluation conducted alongside an assessor-blinded, multicentre randomised non-inferiority trial with 1-year follow-up. PARTICIPANTS: A total of 362 women aged ≥ 60 years with stress or mixed urinary incontinence. INTERVENTION: Twelve weekly 1-hour PFMT sessions delivered individually (one physiotherapist per woman) or in groups (one physiotherapist per eight women). OUTCOME MEASURES: Urinary incontinence-related costs per woman were estimated from a participant and provider perspective over 1 year in Canadian dollars, 2019. Effectiveness was based on reduction in leakage episodes and quality-adjusted life years. Incremental cost-effectiveness ratios and net monetary benefit were calculated for each of the effectiveness outcomes and perspectives. RESULTS: Both group-based and individual PFMT were effective in reducing leakage and promoting gains in quality-adjusted life years. Furthermore, group-based PFMT was ≥ 60% less costly than individual treatment, regardless of the perspective studied: -$914 (95% CI -970 to -863) from the participant's perspective and -$509 (95% CI -523 to -496) from the provider's perspective. Differences in effects between study arms were minor and negligible. Adherence to treatment was high, with low loss to follow-up and no between-group differences. CONCLUSION: Compared with standard individual PFMT, group-based PFMT was less costly and as clinically effective and widely accepted. These results indicate that patients and healthcare decision-makers should consider group-based PFMT to be a cost-effective first-line treatment option for urinary incontinence. TRIAL REGISTRATION: ClinicalTrials.govNCT02039830.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it