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PREVALÊNCIA DE ADESÃO AO TRATAMENTO FARMACOLÓGICO HIPOGLICEMIANTE

2022· article· pt· W4383504601 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

VenueSitientibus · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicPublic Health in Brazil
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsMedicineHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A não-adesão à terapêutica por pacientes diabéticos podeinterferir na avaliação da resposta clínica e causar fracasso terapêutico.Este estudo tem como tema a aderência ao tratamento hipoglicemiante,por pacientes portadores de Diabetes Mellitus, assistidos no Centro deSaúde PSF-Feira VI, de Feira de Santana/Bahia. Objetiva avaliar o graude adesão ao tratamento medicamentoso. Realizou-se uma pesquisa empíricautilizando-se como instrumento formulários padronizados, dirigidos atoda população. Através da pesquisa de campo, obteve-se uma prevalênciade adesão de 62% e de não-adesão de 34% e 4% não se aplica. Oprincipal motivo da não-adesão ao tratamento foi a falta de interesse nautilização do medicamento hipoglicemiante prescrito. A partir do conhecimentoda prevalência da adesão e dos motivos da não-adesão ao tratamentohipoglicemiante, é possível realizar intervenções na assistência básicaà saúde.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0040.000
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0170.001

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 head0.043
GPT teacher head0.367
Teacher spread0.324 · 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