High prevalence of skin and wound care of hospitalized elderly in Brazil: a prospective observational study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Skin changes caused by aging increase the risk of skin damages, such as pressure ulcers, during hospitalization of elderly patients. There is few information about the cost of wound treatment in Brazil. Conversely, skin and wound problems are highly reported among hospitalized elderly patients and caregivers. The purpose is to analyze the socio-demographic and clinical profile associated with skin and wound care in hospitalized elderly. METHODS: This is a prospective observational study. The sample consisted of 75 patients, aged 60 years or more, randomly selected in three hospitals in Rio de Janeiro, Brazil. Data extraction from nursing records of the sample, using cross mapping with Nursing Interventions Classification. Data Synthesis supported by SAS 6.11 (SAS Institute, Inc. Cary North Carolina) in association with SPSS version 14.0 and statistics analysis. RESULTS: The findings were: age standard deviation 7.8, with minimum as 60, and maximum as 91 years old. Prevalence of women and married seniors. High prevalence of long-term hospitalization. There were 21 Nursing Interventions in the nursing records and seventeen of them related to skin and wound care. They were described in 57 nursing activities, present during 376 evaluations and repeated 1756 times. A significant difference was obtained between age and the presence of the nursing interventions "Positioning" (p-0.004), Eye Care/Hygiene (p- < 0.0001) and Oral Health Maintenance (p-0.0003). CONCLUSION: The skin care to prevention and treatment of skin damages represented the major demand of nursing interventions in different clinical conditions of hospitalized elderly.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it