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Quality of life of elderly people attended by the Family Health Strategy

2015· article· pt· W2146046186 on OpenAlexaff
Olga de Fátima Jansen dos Santos, Maria do Carmo de Carvalho e Martins, Maria Helena de Barros Araújo Luz, Cristina Maria Miranda de Sousa

Bibliographic record

VenueRevista de Pesquisa Cuidado é Fundamental Online · 2015
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsHealthForceOntario
Fundersnot available
KeywordsHumanitiesGerontologyQuality of life (healthcare)MedicinePsychologyArtNursing

Abstract

fetched live from OpenAlex

Objetivo: Avaliar a qualidade de vida de idosos inseridos na Estratégia Saúde da Família. Método: Estudo transversal, descritivo-exploratório, quantitativo, realizado nos domicílios de idosos da zona urbana do município de Floriano – PI. A amostra constituiu-se por 671 idosos. A coleta de dados foi realizada utilizando o WHOQOL-Bref e um questionário para obtenção de informações sociodemográficas. As associações foram realizadas por testes Quiquadrado e análise de agrupamento hierárquico. Resultados: Houve predominância do sexo feminino (65,3%). A maioria dos idosos vivia sem companheiro, no âmbito familiar, com renda mensal de 1 a 3 salários mínimos e possuía qualidade de vida muito boa (66,2%), sendo maior proporção para o sexo masculino (69,5%), com diferença significativa entre os sexos (p=0,021). Conclusão: A maioria dos idosos pesquisados possuía boa qualidade de vida segundo os escores dos domínios avaliados pelo WHOQOL-Bref, apresentando maiores escores para o domínio das relações sociais e menor para o domínio meio ambiente.

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)0.003
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 score0.016
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.150
GPT teacher head0.451
Teacher spread0.301 · 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".

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Citations0
Published2015
Admission routes1
Has abstractyes

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