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O familiar acompanhante como estimulo comportamental de pacientes internados em terapia intensiva

2013· article· pt· W2065729222 on OpenAlexaff
Veronica Lopes Louzada Vidal, Sílvia Teresa Carvalho de Araújo, Michel Perreault, Albert Lengruber de Azevedo

Bibliographic record

VenueEscola Anna Nery · 2013
Typearticle
Languagept
FieldHealth Professions
TopicFamily and Patient Care in Intensive Care Units
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesMedicinePsychologyPhilosophy

Abstract

fetched live from OpenAlex

O objetivos deste estudo foram levantar as expressões verbais e não verbais presentes no comportamento do paciente antes, durante a inserção e permanência do familiar acompanhante no centro de terapia intensiva, e analisar comparativamente as alterações comportamentais do paciente durante esses momentos da internação. MÉTODO: O cenário foi o centro de terapia intensiva de um hospital no Rio de Janeiro, conveniado com o Sistema Único de Saúde (SUS). A abordagem qualitativa resultou da observação livre sobre o comportamento de cinco pacientes e registros em diário de campo durante três dias consecutivos. Priorizou-se observação do paciente no primeiro dia de internação e após a inserção ininterrupta do familiar acompanhante por três dias consecutivos. RESULTADOS: As mudanças nas reações verbais e não verbais do paciente após os estímulos gerados pela presença do familiar variaram de ausência de fala e movimentos, passividade no agir, a reações de aceitação dos procedimentos, comunicação cinésica ampliada e maior participação no cuidado.

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)0.006
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 score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.349
Teacher spread0.295 · 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

Citations5
Published2013
Admission routes1
Has abstractyes

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