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Record W4290652529 · doi:10.46551/rnm23173092202200102

AVALIAÇÃO DA FRAGILIDADE DE IDOSOS LONGEVOS ASSISTIDOS POR CENTRO DE REFERÊNCIA EM ASSISTÊNCIA À SAÚDE DO IDOSO

2022· article· pt· W4290652529 on OpenAlexaboutno aff
Walker Henrique Viana Caixeta, Mariano Fagundes Neto Soares, Kênia Souto Moreira, Aletheia Maria Rodrigues Souto, Daniela Lopes Gomes, Daniella Cristina Nassau, Dênio De Castro Gomes, Igor Caldeira Soares, Isis Gabriella Antunes Lopes Veloso, Kátia Regina Gandra Lafetá, Patricia Mameluque e Silva, Fernanda Marques da Costa, Jair Almeida Carneiro

Bibliographic record

VenueRevista Renome · 2022
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesMedicinePsychologyArt

Abstract

fetched live from OpenAlex

Este estudo tem por objetivo avaliar a fragilidade de idosos longevos assistidos por um Centro de Referência em Assistência à Saúde do Idoso, localizado no norte de Minas Gerais. Trata-se de estudo transversal, com amostragem por conveniência. Foram realizadas análises descritivas das variáveis demográfica, social, econômica, clínica, utilização de serviços de saúde e o escore da Escala de Fragilidade de Edmonton. Participaram do estudo 89 idosos longevos. A maioria era do sexo feminino, vivia sem companheiro e referia até quatro anos de estudo. Quanto à capacidade funcional, 25,8% é dependente para a realização das atividades básicas da vida diária e 91,0% dependente para as atividades instrumentais da vida diária. A prevalência de fragilidade foi 65,1%, sendo que 30,3% apresentou fragilidade leve, 28,1% fragilidade moderada e 6,7% fragilidade severa. Esperava-se prevalência maior de fragilidade em idosos longevos. Conhecer o perfil da fragilidade de idosos longevos assistidos pelo CRASI permite o desenvolvimento de ações de saúde para esse segmento populacional.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.222
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.003
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0060.000
Scholarly communication0.0010.000
Open science0.0030.001
Research integrity0.0020.009
Insufficient payload (model declined to judge)0.0180.002

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 head0.054
GPT teacher head0.375
Teacher spread0.321 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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