Gestión del cuidado de enfermería a los ancianos crónicamente enfermos. Policlínico 2, año 2007
Bibliographic record
Abstract
A descriptive prospective study was made to those patients aged more than 60 years who are attended in the Policlinico 2 “Leonilda Tamayo Matos” in Isla de la Juventud during the year 2007. The study population was 1254 and 700 chronically ill elderly people were taken as representative sample, using a simple random sampling. The Mini Mental State Examination and a satisfaction survey was made to old people, all these with their informed consent. The main variables to study were: sex, age, race, civil state, educational level, work, assistance to the Grandparent’s Circle and satisfaction level. There exists a feminine predominance (61%) over male, as well as the age group from 60 to 64 years old. Mixed race is the most common one (43%), followed by black (35%). 43% of these elders have secondary studies, and 64% of them are retired. The assistance to the Grandparent’s Circle is good, 338 of all the elders studied (48.2%) assist to it. The results were expressed with real numbers and percentages, and were represented in bar and pie charts. There exists a predominance of arterial hypertension and diabetes mellitus in the elders studied. The quality of the nursing cares to the chronically ill old people of the policlinic 2 in 2007 was good.
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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 | 0.001 |
| 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 | 0.000 | 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 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".