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Record W3216745428 · doi:10.51891/rease.v7i11.3151

RELEVÂNCIA DA ASSISTÊNCIA FARMACÊUTICA NO CONTROLE DA PRESSÃO ARTERIAL SISTÊMICA

2021· article· pt· W3216745428 on OpenAlexaff
Hercules Venâncio Santos Almeida, Nadiane Carla Oliveira Alves, Taiane Neri de Almeira, Tiago Miranda Lago Requião, Juliana Azevedo de Paixão

Bibliographic record

VenueRevista Ibero-Americana de Humanidades, Ciências e Educação · 2021
Typearticle
Languagept
FieldComputer Science
TopicHealthcare during COVID-19 Pandemic
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsHumanitiesMedicinePhilosophy

Abstract

fetched live from OpenAlex

A Hipertensão Arterial Sistêmica consiste em um problema de saúde pública de difícil controle, em que fatores extrínsecos e intrínsecos podem consistir em elementos preponderantes para a dificuldade no controle da patologia. O presente estudo tem como objetivos: realizar levantamento bibliográfico sobre a importância da Assistência Farmacêutica no controle da pressão arterial sistêmica . Trata-se de uma revisão integrativa de literatura, de natureza qualitativa, descritiva e exploratória. Para a pesquisa foi realizada uma revisão da literatura científica. Os dados foram coletados a partir da Biblioteca Virtual em Saúde (BVS). Foram incluídos artigos delimitados como, estudos populacionais, estudos clínicos randomizado que estejam publicados no idioma português, disponíveis na forma gratuita e íntegra, publicados entre os anos de 2011 a 2021. Foram excluídos artigos, dissertações, teses que não atendam ao objetivo, questão norteadora e os que estiverem duplicados nas bases de dados.O estudo evidenciou que entre os fatores que mais dificultam o controle da HAS, estão relacionados a hábitos culturais e estilo de vida, relação entre a equipe e o paciente acometido pela patologia, o contexto familiar em que o indivíduo doente esta inserido, além da complexidade dos esquemas terapêuticos.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.009
metaresearch head score (Gemma)0.025
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.011
Threshold uncertainty score0.049

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.025
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.004
Science and technology studies0.0010.002
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0110.002

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 head0.322
Teacher spread0.279 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2021
Admission routes1
Has abstractyes

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