Knowledge of caregivers of disabled elderly. Pedro Borrás Astorga Polyclinic. Pinar del Río. 2023
Bibliographic record
Abstract
Introduction: Healthy elderly require supervision and help, being greater in disabled elderly. Objective: to determine the level of knowledge of caregivers of disabled elderly people of the Popular Council "Ceferino Fernández Viña", Pedro Borrás Astorga health area, Pinar del Municipality Rio, during the first quarter of 2023. Methods: observational, descriptive and cross-sectional study, with a universe of 91 caregivers and a sample of 84, according to inclusion and exclusion criteria. Theoretical, empirical and statistical methods were used.Results: 21,4 % of the caregivers are between 40 and 49 years of age and 85,7 % are female. The care that did not have knowledge related to the duties and rights of the disabled predominated 84,5 %, the need to emphasize the lost capacities more than the conserved ones in 70,2 %. 80,9 % of the sample does have knowledge about nutrition in the disabled elderly. The level of knowledge in general of the studied caregivers was evaluated in most of the caregivers with a medium level of 55,9 %. Conclusions: most of the caregivers of the disabled elderly studied have deficiencies related to the knowledge to adequately carry out their work.
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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 | 0.000 | 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 | 0.000 | 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) | 0.015 | 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".