Systematic reviews of bladder training and voiding programmes in adults: a synopsis of findings on theory and methods using metastudy techniques
Bibliographic record
Abstract
AIM: This paper reports a comparison of four Cochrane systematic reviews on bladder training and voiding programmes for the management of urinary incontinence using metastudy descriptive techniques. It presents a synopsis of findings on theory and methods for interventions. BACKGROUND: From the mid-1970s bladder training, prompted voiding, habit retraining and timed voiding have been developed and form the basis of nursing practice for the management of urinary incontinence in adults in institutional and community settings. METHODS: A synopsis of four Cochrane systematic reviews was undertaken using metastudy techniques developed for qualitative research and has provided a discursive comparison and contrast of the selection and appraisal of primary research, meta-theory and meta-method. FINDINGS: All programmes share a therapeutic focus on voiding and the degree and active participation of the client and caregiver. Bladder training focuses on the restoration of continence, while prompted voiding, habit retraining and timed voiding focus on the avoidance of incontinence. Bladder training and prompted voiding share the two characteristics of cognitive behavioural modification and active client participation. Habit retraining and timed voiding pre-empt episodes and avoid incontinence using operant conditioning rather than modifying behaviour. Variability of methods and operational terminology makes comparison between studies difficult. Use of cognitive behavioural approaches and operant conditioning need to be better understood in relation to future theory, interventions and study design. Bladder training is aimed at people who are cognitively and physically able, while the other voiding programmes are mainly used with for people with cognitive and physical impairments reliant on caregivers. CONCLUSION: The theoretical approaches underpinning bladder training and voiding programmes, their components and suitability for patients need to be re-considered when designing future studies. There is a need for long-term follow-up in future studies. Future trials should adhere to recognized standards of good practice and incorporate outcomes from existing systematic reviews to enable future meta-analysis to be undertaken. Metastudy techniques for the synthesis of qualitative research provide useful methods for the descriptive synopsis of quantitative systematic reviews.
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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 | 0.056 | 0.184 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.012 | 0.011 |
| Bibliometrics | 0.038 | 0.036 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.008 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".