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Record W3162883537 · doi:10.5380/ce.v26i0.76442

SINTOMAS DE DEPRESSÃO EM PROFISSIONAIS DE ENFERMAGEM DURANTE A PANDEMIA DE COVID-19

2021· article· pt· W3162883537 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

VenueCogitare Enfermagem · 2021
Typearticle
Languagept
FieldPsychology
TopicCOVID-19 and Mental Health
Canadian institutionsQuest University Canada
Fundersnot available
KeywordsMedicineGynecology

Abstract

fetched live from OpenAlex

Objetivo: identificar sintomas de depressão em profissionais de enfermagem durante a pandemia de covid-19.Método: estudo transversal e observacional, via formulário eletrônico, nas cinco regiões do Brasil, entre profissionais de enfermagem. Utilizou-se instrumento com informações gerais e o Patient Health Questionnaire-9 para identificar sintomas de depressão. Adotaram-se testes de hipóteses t de Student e Análise de Variância.Resultados: participaram 3249 profissionais. Destes, 2092 (64,4%) não apresentaram ou apresentaram sintomas mínimos de depressão, 603 (18,6%) moderados, 330 (10,2%) sintomas de moderado a severos e 224 (6,9%) sintomas severos. Mulheres, trabalhadores da região Norte, adultos jovens, solteiros e com renda de até quatro salários apresentaram escore de depressão mais elevados (p<0,05).Conclusão: os profissionais de enfermagem não apresentaram ou apresentaram sintomas leves de depressão. Variáveis como sexo, faixa etária, estado civil, região do país, ter contato com pessoas com covid-19 e não usar máscaras tiveram diferenças significativas com sintomas de depressão.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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 score0.341
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.152
GPT teacher head0.467
Teacher spread0.316 · 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