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Record W4286212662 · doi:10.21450/rahis.v19i2.7368

REDE DE ATENÇÃO DO SUS À SAÚDE DA PESSOA COM DEFICIÊNCIA E A COVID — 19

2022· article· pt· W4286212662 on OpenAlexaff
Clara Joheny

Bibliographic record

VenueRAHIS - Revista de Administração Hospitalar e Inovação em Saúde · 2022
Typearticle
Languagept
FieldHealth Professions
TopicHealth, Nursing, Elderly Care
Canadian institutionsCégep de l'Outaouais
Fundersnot available
KeywordsHumanitiesCoronavirus disease 2019 (COVID-19)PhilosophyPolitical scienceMedicine

Abstract

fetched live from OpenAlex

RESUMO
 
 Este trabalho tem o intuito de estudar as leis, diretrizes e bases da rede de atenção à saúde da pessoa com deficiência no âmbito do sistema único de saúde – SUS e os desafios enfrentados pelas pessoas com deficiência em meio a pandemia Corona — vírus nos atuais anos de 2020 e 2021. Trata-se de um estudo bibliográfico descritivo iniciado e realizado no período da pandemia com base em livros, artigos, site oficial do Ministério da Saúde, Organização Mundial de Saúde — OMS e revistas que acompanham e publicam sobre a temática no território brasileiro. diante disso, por entender que a maioria da população não tem acesso a todos serviços de atendimento saúde, por conta da precariedade, nos atendimentos. Este trabalho tornou-se fundamental para esclarecer possíveis duvidas pendentes acerca do assunto, ainda mais que se conclui com a temática mais vivida por todos e pelo mundo no ano 2020, a pandemia do (Covid-19). A análise visa de orientar os usuários deficientes do SUS, sobre seus direitos, deveres, e as políticas existentes capazes de gerar seu bem-estar na sociedade, vivendo como cidadãos com direito igualitário aos demais.
 
 Descritores de Saúde: Saúde Pública; Rede de Atenção do SUS; Politicas, Planejamento e Administração em Saúde; Pessoas com Deficiência; Covid-19. 

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 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)0.012
metaresearch head score (Gemma)0.006
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.006
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.004
Science and technology studies0.0100.001
Scholarly communication0.0010.001
Open science0.0040.002
Research integrity0.0030.012
Insufficient payload (model declined to judge)0.0150.001

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 head0.064
GPT teacher head0.394
Teacher spread0.331 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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