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Ensino baseado em simulação na enfermagem oncológica: revisão integrativa

2020· article· pt· W3108979334 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Enfermagem Atual In Derme · 2020
Typearticle
Languagept
FieldSocial Sciences
TopicHealth Education and Validation
Canadian institutionsQueen's University
Fundersnot available
KeywordsSimulaHumanitiesPsychologyPhilosophyComputer science

Abstract

fetched live from OpenAlex

Objetivo: avaliar e sintetizar a literatura existente sobre o impacto do uso da educação baseada em simulação no conhecimento e prática de enfermeiros e estudantes de enfermagem em relação aos pacientes oncológicos. Método: revisão integrativa da literatura utilizando a metodologia proposta por Ganong. Coleta de dados nas bases MEDLINE e CINAHL, aplicando termos do Medical Subject Headings (MeSH). Resultados: 12 artigos foram selecionados, dos quais duas categorias de análise foram definidas, sendo elas, o uso de ensino baseado em simulação entre (1) profissionais e (2) estudantes de enfermagem. Conclusão: O ensino baseado em simulação é uma temática relativamente nova e devido a isto não existem muitos estudos acerca desse tópico nos periódicos científicos. Porém, os estudos existentes demonstram que o uso da simulação clínica é uma ferramenta que vem mostrando resultados positivos no processo de ensino de profissionais e estudantes de enfermagem relacionados a oncologia clínica.

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.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.615
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.003
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.004

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 head0.289
GPT teacher head0.459
Teacher spread0.170 · 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