A Community-Based Education Program for Overactive Bladder in a Predominantly Minority Older Female Population: A Pilot Study
Bibliographic record
Abstract
INTRODUCTION: Knowledge gaps regarding available treatment and social stigmatization are barriers to care in patients with overactive bladder (OAB). We assessed the feasibility of an OAB education program targeting older community-dwelling females. METHODS: Community-dwelling women over 55 years old were recruited. Eligible participants underwent an education program covering continence-promotion strategies. The Overactive Bladder Questionnaire-Short Form and Short Form-12 were completed at baseline, 1 week, 3 months, and 6 months post-intervention to measure symptom bother and condition-specific and general quality of life (QoL). Data were analyzed using a linear mixed-effects model for repeated measures. RESULTS: Thirty-seven female patients with OAB symptoms at baseline were assessed with the majority from Latino/Hispanic or Black/African American ethnic/racial backgrounds. For our youngest subgroup (≤68 years old), significant improvements were observed at 3 and 6 months compared to 1 week post-intervention for symptom bother (3 months, -22.75, p = 0.006; 6 months, -25.76; p = 0.001) and condition-specific and health-related QoL subscale scores for concern (3 months, +23.76, p = 0.006; 6 months, +22.15, p = 0.011) and social interaction (3 months, +21.11, p = 0.017; 6 months, +20.51; p = 0.021). For all age subgroups, improvements in general QoL measures for mental health were seen at 3 and 6 months compared to baseline (3 months, +7.57, p = 0.02; 6 months, +6.70; p = 0.048). CONCLUSIONS: Statistically significant improvements in symptom bother, condition-specific, and general QoL measures were observed following an OAB education program pilot study in a predominantly minority female population. Further studies are needed to support efficacy and optimize program design.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".