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Record W2906494113 · doi:10.1590/2317-6431-2018-2014

Percepção de equipes de trabalho sobre o ruído em pronto-socorro

2018· article· pt· W2906494113 on OpenAlexaff
Walderes Aparecida Filus, Jussara Marise Ribeiro Sampaio, Evelyn Joice Albizu, Jair Mendes Marques, Adriana Bender Moreira de Lacerda

Bibliographic record

VenueAudiology - Communication Research · 2018
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

RESUMO Objetivo Comparar a percepção dos profissionais das áreas de enfermagem e administrativa frente ao ruído no pronto-socorro. Métodos Estudo descritivo, com análise quantitativa. A percepção do ruído foi avaliada por meio de questionário, em forma de entrevista. Participaram do estudo 59 profissionais, 38 da área de enfermagem e 21 da área administrativa. O levantamento estatístico levou em conta o nível de significância de 0,05 (5%), através do teste Qui-quadrado. Resultados A percepção do ruído pelos profissionais de enfermagem e administração, no pronto-socorro, foi considerada como ruidosa e mais intensa no turno da tarde. Profissionais da enfermagem identificaram mais os ruídos dos equipamentos (60,53%) e os da área administrativa, os ruídos de pessoas (85,71%). As queixas extra-auditivas mais citadas foram cansaço, estresse, ansiedade, nervosismo e irritabilidade. Os profissionais da enfermagem demonstraram ser os mais incomodados com o ruído, porém, os administrativos referiram dificuldades em desempenhar suas tarefas. Conclusão Houve diferença na percepção do ruído entre os profissionais das áreas de enfermagem e administrativa, mas para ambas as áreas, o ruído de maior incômodo é aquele produzido por pessoas, mostrando a necessidade de programas educativos de prevenção e conscientização para redução de ruído, direcionados aos profissionais do pronto-socorro.

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)0.024
metaresearch head score (Gemma)0.007
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 categoriesScience and technology studies, Research integrity, Insufficient 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 score0.362
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0080.003
Scholarly communication0.0000.000
Open science0.0040.002
Research integrity0.0030.010
Insufficient payload (model declined to judge)0.0040.006

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 head0.291
GPT teacher head0.576
Teacher spread0.284 · 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

Citations5
Published2018
Admission routes1
Has abstractyes

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