77 INCONTINENCE AND DECONDITIONING IN A NONFRAIL SAMPLE OF INPATIENTS AT A UNIVERSITY TEACHING HOSPITAL
Bibliographic record
Abstract
Abstract Background Incontinence occurs in 26% of hospitalised adults1. Deconditioning in hospitalised adults is common and contributes to increased hospital stay2. The #endpjparalysis movement motivates us to reduce harms of hospitalisation older adults. Methods We surveyed inpatients to capture the point prevalence of incontinence. We also collected information regarding functional status, continence status and use of continence wear. Local ethical review-board approval was obtained. All participants provided informed consent. Results There were 86 responses. Mean age of participants was 71.5 years. 45.4% were female, >95% were admitted from home and were functionally independent. Mean length of stay for respondents was 7.4 days ±12. The median Clinical Frailty Scale, for respondents aged >65 years, was 3, indicating this cohort is not frail. 17 respondents reported incontinence on the day of survey; 8 of these reported that incontinence was a new experience for them since their admission. 24 respondents wore incontinence wear at home, 31 were wearing incontinence wear on the day of survey. Of 80 respondents who could toilet independently at home, 23 (26%) reported a new dependency to toilet. Of 83 respondents who mobilised independently at home (with or without an aid), 11 reported needing assistance of one-person to walk, 3 needed the assistance of two-people to walk or stand, five people required a hoist, while 3 were bedbound on the day of survey. Conclusion We describe increased dependency in mobility, toileting and increased use of continence wear in non-frail hospitalised older adults. Future work is needed to maintain function during admission to hospital. References 1. Condon, M., et al. (2019). ‘Urinary and Faecal Incontinence: Point Prevalence and Predictors in a University Hospital.’ Int J Environ Res Public Health 16. 2. Guilcher, S., et al. (2021). ‘A qualitative study exploring the lived experiences of deconditioning in hospital in Ontario, Canada.’ BMC Geriatrics 21.
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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 | 0.002 |
| 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 | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".