Knowledge of urinary incontinence among Chinese community nurses and community-dwelling older people
Bibliographic record
Abstract
The purpose of this study was to describe knowledge of urinary incontinence among community nurses and community-dwelling older people in China. The descriptive study was undertaken in 2007 using a cross-sectional research design. A random sampling method was used to recruit 100 Chinese older people and 100 Chinese nurses in JinShan and NanHui communities, Shanghai, China. All participants completed all items of a demographic survey and the Urinary Incontinence Knowledge Scale (UIKS). Based on the literature, the UIKS was developed in 2007. The value of content validity index tested by five experts was 0.75. Measures of internal consistency (Kuder-Richardson formula 20) were 0.72 for the community nurses and 0.69 for the older people. The UIKS consisted of 30 items with dichotomous choices (Correct = 1; False or Do not know = 0). The mean UIKS score of the nurses (mean 20.7, SD 3.5) was significantly higher than that of the older people (mean 13.4, SD 4.0) with a 95% confidence interval for difference in means 6.3-8.4 (t = 13.84; df = 198; P < 0.001). Although community nurses had moderate knowledge of the impact of incontinence, they still lacked knowledge of risk factors, symptoms, prevention, treatment, and management. Older people had poor knowledge about risk factors, symptoms, impact, prevention, treatment and management of urinary incontinence. Because of their knowledge deficits, community nurses and older people viewed urinary incontinence as a normal part of the ageing process. The findings suggested that both nurses and older people in the community had educational needs related to the incontinence. Further studies to develop specific educational programmes concerning urinary incontinence are suggested. Ways to enhance support and acceptable forms of specific content knowledge, process measures and regulatory enforcement require additional exploration.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.005 |
| Insufficient payload (model declined to judge) | 0.000 | 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".