A post-market cluster randomized controlled trial of the effect of the TENA SmartCare Change Indicator™ on urinary continence care efficiency and skin health in older nursing home residents
Bibliographic record
Abstract
BACKGROUND: Urinary continence care for residents of nursing homes who are unable to communicate their toileting needs usually involves care aides manually checking continence products (pads) to determine the level of urine saturation prior to changing. The TENA SmartCare Change Indicator is a medical device which estimates urine saturation and notifies caregivers of the optimal time for pad changes. This study will seek to examine the effect of the TENA SmartCare Change Indicator on urinary continence care efficiency and skin health, in comparison to usual care. METHODS: This cluster randomized controlled trial (NCT05247047) involving older nursing home residents with urinary incontinence unable to consistently indicate their toileting needs, and their care aides, will compare technology-based and usual continence care over a period of 8 weeks. Co-primary endpoints of superiority in continence care efficiency and non-inferiority in the maintenance of skin health will be assessed. Secondary outcomes will examine the resident quality of life, sleep quality, responsive behaviours, changes in pad use and leakage episodes outside the pad. Change in care aide work engagement, job satisfaction and rushed tasks will be assessed. Benefits and challenges with the use of the device for continence care will be identified from the perspectives of the care staff. DISCUSSION: Urinary continence assessment and care in nursing homes is reported as suboptimal and threatening to dignity. Data on the utility and effect of technological solutions for improving urinary continence care are few and conflicting. If shown effective, this technological solution has the potential to improve the care for older residents and improve the working lives of caregiving staff who look after this most vulnerable section of the population. TRIAL REGISTRATION: ClinicalTrials.gov NCT05247047. Registration date is Feb 18, 2022.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.015 | 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".