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Record W4306918647 · doi:10.25248/reas.e10817.2022

Associação entre fragilidade e risco de quedas em pessoas idosas hospitalizadas no Nordeste do Brasil

2022· article· pt· W4306918647 on OpenAlexaboutno aff
Tiago José Silveira Teófilo, Valkênia Alves Silva, Rafaella Felix Serafim Veras, Mayara Muniz Peixoto Rodrigues, Ana Paula Feles Dantas Melo, Jacira dos Santos Oliveira

Bibliographic record

VenueRevista Eletrônica Acervo Saúde · 2022
Typearticle
Languagept
FieldMedicine
TopicFrailty in Older Adults
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

Objetivo: Analisar a associação entre o grau de fragilidade e o risco de quedas em idosos hospitalizados. Métodos: Estudo transversal, quantitativo, realizado com 142 idosos de um hospital universitário localizado no Nordeste do Brasil. As avaliações envolveram a aplicação do Mini exame do Estado Mental, Morse Fall Scale e Edmonton Frail Scale. Para as análises estatísticas utilizaram-se os Testes Qui-quadrado e o Teste exato de Fisher, ao nível de confiança de 95%. Resultados: A maioria dos idosos era do sexo feminino (52,8%), com idade de 60 e 69 anos (59,2%), casada ou em união estável (69,0%), não alfabetizada (38,7%). Foi identificada associação estatisticamente significativa entre fragilidade na pessoa idosa com maior risco de quedas, assim como o contrário, comprovado pelo p-valor de 0,001. Conclusão: Os achados sugerem que a fragilidade exerce influência na ocorrência e número de quedas e que a ocorrência de quedas também contribui para o desenvolvimento da fragilidade em idosos. Os prestadores de cuidados de saúde no ambiente hospitalar devem estar atentos a essa associação e priorizar as ações de acordo, considerando as graves consequências de uma queda.

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)0.003
metaresearch head score (Gemma)0.004
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), 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 score0.187
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0030.002
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0170.003

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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

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