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Avaliação da fragilidade de idosos atendidos em uma unidade da Estratégia Saúde da Família

2013· article· pt· W1979520820 on OpenAlexaboutno aff
Heloise Lima Fernandes Agreli, Jaqueline Correia Gaspar, Cíntia Yamashita, Fernanda Amendola, Márcia Regina Martins Alvarenga, María Amélia de Campos Oliveira

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2013
Typearticle
Languagept
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsGerontologyMedicineHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

A fragilidade é um indicador importante da condição de saúde de idosos. A Edmonton Frail Scale, instrumento multidimensional validado e adaptado culturalmente para o português do Brasil, pode ser usada para avaliá-la. Realizou-se estudo transversal, descritivo, com objetivo de identificar a presença de fragilidade em idosos atendidos pela Estratégia Saúde da Família em um município paulista. Os cuidados éticos foram observados. Foram entrevistados 128 idosos. Houve predomínio do sexo feminino, faixa etária de 60 a 69 anos de idade, baixa escolaridade e renda própria. Somente 103 idosos que responderam a todas as questões da escala tiveram o grau de fragilidade avaliado. Desses, 21, 4% eram aparentemente vulneráveis e 30, 1% apresentavam algum grau de fragilidade, entre leve, moderada e severa. Os 25 que deixaram de responder alguma questão apresentavam vulnerabilidade à fragilidade. Conclui-se que escala é adequada para avaliação de fragilidade na Atenção Básica, desde que adequada às características da população-alvo.

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)0.002
metaresearch head score (Gemma)0.005
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 score0.013
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.249
GPT teacher head0.422
Teacher spread0.173 · 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

Citations22
Published2013
Admission routes1
Has abstractyes

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