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Record W7019341760

Gestión del cuidado de enfermería a los ancianos crónicamente enfermos. Policlínico 2, año 2007

2009· article· en· W7019341760 on OpenAlexaboutno aff

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2009
Typearticle
Languageen
FieldHealth Professions
TopicNursing care and research
Canadian institutionsnot available
Fundersnot available
KeywordsPopulationElderly peopleMental stateMental healthQuarter (Canadian coin)Descriptive research
DOInot available

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.069

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.037
GPT teacher head0.419
Teacher spread0.383 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2009
Admission routes1
Has abstractyes

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