Prevalence of skin tears among frail older adults living in Canadian long-term care facilities
Bibliographic record
Abstract
OBJECTIVES: To explore the prevalence of skin tears in the Canadian long-term care (LTC) population. SUBJECTS AND SETTING: The setting included 678 residents residing in four LTC facilities in western Canada. DESIGN: A cross-sectional prevalence study to establish the prevalence of skin tears in four LTC facilities in Canada. RESULTS: The prevalence of skin tears was 14.7%. Primary associated risk factors included advanced age, being male and having an increased pressure ulcer risk. CONCLUSION: This study was an important step in establishing the burden of skin tears in the Canadian LTC population. Findings supported the International Skin Tear Advisory Panel (ISTAP) risk reduction programme's claim that increases in age and being of the male sex increase the risk for skin tears. The results support a possible link between skin tear risk factors and risk factors associated with pressure ulcers.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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".