Assessment of treatment-seeking behavior and healthcare utilization in an international cohort of subjects with overactive bladder
Bibliographic record
Abstract
UNLABELLED: Abstract Objective: To assess the association between incontinence severity, treatment-seeking behavior, and healthcare resource utilization (HRU) among participants with overactive bladder (OAB) in eight countries. RESEARCH DESIGN AND METHODS: A cross-sectional online survey of subjects ≥18 years old in Australia, Europe, and North America, who had a past OAB diagnosis and/or experienced ≥1 urinary incontinence (UI) episode in the preceding 12 months, were eligible to participate. Subjects contacted for the survey were primarily from a voluntary medication monitoring registry, MediGuard. Predominantly stress incontinence subjects were excluded. Incontinence severity was assessed by the number of UI episodes over 3 days and grouped as 0 ('dry'), 1-2, 3-4, and ≥5 UI episodes/day. Subject demographics, employment status, comorbidities, treatment-seeking behavior (past OAB diagnosis; spoken to healthcare provider [HCP]), and HRU (diagnostic tests; HCP visits in 6 months before screening) were analyzed by incontinence severity. RESULTS: Overall, 1341 subjects with OAB (mean age 54.5 years; 70.7% female) were surveyed; 20.2%, 47.7%, 18.8%, and 13.3% of subjects reported 0, 1-2, 3-4, and ≥5 UI episodes/day, respectively. Employment status and comorbidities were significantly (p < 0.05) associated with incontinence severity. The two measures of treatment-seeking behavior were significantly (p < 0.05) associated with incontinence severity groups; the proportion of subjects with a past diagnosis of OAB were 35.8%, 44.8%, 52.4%, and 64.0% in the 0, 1-2, 3-4, and ≥5 UI episodes/day groups, respectively; and 59.0%, 63.6%, 65.9%, and 78.1% of subjects in the respective UI severity groups talked to a HCP about their OAB symptoms. Multivariate linear regression analyses showed a positive and consistent association between incontinence severity and HRU; subjects reported a mean of 2.7, 4.1, 4.4, and 7.7 diagnostic tests overall (p < 0.001), and a mean of 1.4, 2.2, 2.7, and 4.0 HCP visits in the 0, 1-2, 3-4, and ≥5 UI episodes/day groups, respectively (p < 0.001). A potential limitation of the study is the cross-sectional survey methodology which limits the ability to draw causal inferences from the results. Additionally, since this is a web-based survey it is possible respondents who have access to/are familiar with technology were more likely to be enrolled. CONCLUSIONS: Incontinence severity was positively associated with both treatment-seeking behavior and HRU among subjects with OAB.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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 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".