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Síndrome de Burnout em residentes multiprofissionais de uma universidade pública

2012· article· pt· W2171962818 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 da Escola de Enfermagem da USP · 2012
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPsychologyPolitical scienceArt

Abstract

fetched live from OpenAlex

Os Programas de Residência Multiprofissional buscam romper com os paradigmas em relação à formação de profissionais para o Sistema Único de Saúde (SUS) e contribuir para qualificar os serviços de saúde a partir de ações inovadoras. Entretanto, características específicas desses programas podem agregar estressores aos residentes e, levarem à Sídrome de Burnout. Dessa forma, verificou-se a ocorrência da Síndrome de Burnout nos Residentes Multiprofissionais da Universidade Federal de Santa Maria. Este estudo trata-se de um estudo descritivo, transversal e quantitativo. Aplicaram-se um formulário de dados sociodemográficos e o Versão Human Service Survey do Marlash Burnout Inventory em 37 residentes, entre abril e junho de 2011. Observou-se que 37,84% apresentaram Alta Exaustão Emocional; 43,24%, Alta Despersonalização; e 48,65%, Baixa Realização Profissional. Na associação dos domínios, verificou-se que 27% apresentaram indicativo para Síndrome de Burnout. Os residentes pesquisados estão expostos aos estressores da profissão e da formação, o que pode favorecer a ocorrência da síndrome nesses profissionais.

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)0.005
metaresearch head score (Gemma)0.002
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 categoriesResearch integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.003

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 head0.083
GPT teacher head0.421
Teacher spread0.337 · 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