MétaCan
Menu
Back to cohort

IMPACTO DA PANDEMIA PELO NOVO CORONAVÍRUS NO PERFI L DE CONSUMO DE ANSIOLÍTICOS E ANTIDEPRESSIVOS NA ATENÇÃO BÁSICA DO DISTRITO FEDERAL, BRASIL

2021· article· pt· W4205401179 on OpenAlex
Kaic Leite Meira, Fernanda Junges De Araújo, Rafael Cardinali Rodrigues

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

VenueInfarma - Ciências Farmacêuticas · 2021
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsMedicineCoronavirus disease 2019 (COVID-19)HumanitiesInternal medicinePhilosophy

Abstract

fetched live from OpenAlex

A pandemia pelo novo Coronavírus proporcionou o aumento da vulnerabilidade psicossocial bem como o agravo das patologias preexistentes, como depressão e ansiedade. Neste sentindo, o objetivo deste trabalho é avaliar o impacto da pandemia da COVID-19 no consumo de ansiolíticos e antidepressivos na UBS 4 do Recanto das Emas – Distrito Federal. Trata-se de um estudo observacional, com corte transversal, que analisou o consumo de ansiolíticos e antidepressivos no período entre fevereiro a agosto de 2019 e 2020, utilizando o consumo médio mensal e o número de atendimentos. Além disso, verifi cou-se também as informações de sexo e idade para traçar um perfi l de consumo destes medicamentos. Dos 7 medicamentos avaliados, todos apresentaram um aumento no consumo em 2020, sendo este de 181,90%, 124,36%, 325,33%, 125%, 12,80%, 22,18% e 6,45% para a fl uoxetina 20mg, amitriptilina 25mg, Imipramina 25 mg, clomipramina 75 mg, diazepam 5 mg, clonazepam 2 mg e clonazepam 2,5 mg/mL respectivamente. Com relação ao perfi l encontrado, houve uma predominância do gênero feminino e da população com idade entre 20 a 59 anos, como consumidores majoritários desses medicamentos. De maneira geral, foi observado um grande impacto nos perfi s de consumo dos psicotrópicos no período de tempo avaliado.

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)0.003
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research 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 score0.386
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0030.001
Open science0.0040.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0010.003

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 head0.049
GPT teacher head0.354
Teacher spread0.305 · 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