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Record W4400168808 · doi:10.47820/recima21.v5i7.5423

BENEFÍCIOS DA VISITA DE ENFERMAGEM NO PRÉ-OPERATÓRIO

2024· article· pt· W4400168808 on OpenAlexaff
R Costa, Solange Queiroga Serrano, Matheus Gabriel da Silva Cavalcanti Viturino, Alana Laleska Azevedo Cavalcanti

Bibliographic record

VenueRECIMA21 - Revista Científica Multidisciplinar - ISSN 2675-6218 · 2024
Typearticle
Languagept
FieldMedicine
TopicPalliative and Oncologic Care
Canadian institutionsImpact
Fundersnot available
KeywordsMedicineHumanitiesGynecologyPhilosophy

Abstract

fetched live from OpenAlex

Objetivo: Identificar na literatura o estado da arte acerca dos benefícios da visita de enfermagem no pré-operatório. Método: Revisão integrativa da literatura, realizada nas bases de dados da LILACS, BDENF e MEDLINE, presentes na Biblioteca Virtual em Saúde (BVS). Utilizaram-se os Descritores em Ciências da Saúde (DeCS): Assistência Pré-Operatória, Enfermagem Pré-Operatória, Período Pré-Operatório, com as respectivas traduções dos seus correspondentes em inglês e espanhol, correlacionados pelo operador booleano AND entre os termos. Resultados: A análise do levantamento bibliográfico evidenciou os benefícios da visita de enfermagem no pré-operatório para o paciente cirúrgico e sua importância no melhor prognóstico do paciente, para ressaltar a importância do enfermeiro nesse processo e as possíveis estratégias para realização dessa etapa, bem como seus impactos. Conclusão: Observou-se que os artigos constatam a ansiedade como maior problema na dimensão emocional dos pacientes cirúrgicos. Se evidenciou que a visita de enfermagem reduz os níveis de ansiedade, a partir da educação em saúde, ao favorecer o melhor prognóstico do paciente e sua experiência cirúrgica.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, 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 score0.347
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0070.013

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 head0.059
GPT teacher head0.379
Teacher spread0.320 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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