Completude do Sistema de Informação em Tuberculose no estado do Paraná, 2008-2017: estudo ecológico

Silva, Marcelle Saldanha da; Arcoverde, Marcos Augusto Moraes; Andrade, Rúbia Laine de Paula; Zilly, Adriana; Meira, Mara Cristina Ripoli; Silva-Sobrinho, Reinaldo Antônio

doi:10.12957/reuerj.2020.50372

Cited by 2 publications

(1 citation statement)

References 23 publications

(29 reference statements)

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“…[19] As it is possible to verify in the current study, such information was classified as regular and poor, respectively, corroborating other studies on Health Information Systems. [15,[20][21][22] It is known that the evaluation of schooling through records can translate vulnerability situations as well as social inequality [23] and even the risk of contagion from the SARS-CoV-2 virus.…”

Section: Discussionmentioning

confidence: 99%

Completeness and quality of information about death from COVID-19 in a Brazilian state: A descriptive population-based register study

et al. 2023

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Health information is particularly essential in times of pandemics in which rapid response is crucial for political and stakeholder decision-making processes, and therefore the availability of data as well as its quality analysis are necessary. This study aimed to describe the completeness and quality of the e-Sistema Único de Saúde (SUS) Health Surveillance database (SUS Vigilância em Saúde) of the state of Espírito Santo, Brazil, from the notification of deaths from corana virus disease 2019 (COVID-19) from January 2020 to June 2021. A descriptive population-based register study was conducted from the analysis of the completeness of secondary data from the record of deaths from COVID-19, retrieved from the e-SUS Vigilância em Saúde (Health Surveillance) (VS) database of the state of Espírito Santo, Brazil, from January 2020 to June 2021. A total of 11,359 death records from COVID-19 via e-SUS VS in the state of Espírito Santo, Brazil, were evaluated. The score used to assess incompleteness was the 1 proposed by Romero and Cunha which classifies as excellent (when < 5%), good (between 5% and 10%), regular (between 10% and 20%), poor (between 20% and 50%), and very poor (when > 50%), according to the percentage of the absence of information. Descriptive statistical analyses were conducted in the Stata program, version 15.1. “Case identification” variables, and “condition” variables were classified as excellent completeness. Among the evolution variables, only “hospitalization” was classified as regular. Among the laboratory variables, only the polymerase chain reaction presented excellent completeness, while the “rapid test” and “serologies for immunoglobulin G, and immunoglobulin M” variables were classified as good completeness. It is concluded that most of the variables available in e-SUS VS of the state of Espírito Santo, Brazil, of notification of deaths from COVID-19 in 2020 presented excellent completeness, confirming the excellent quality of the state database.

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Section: Discussionmentioning

confidence: 99%

Completeness and quality of information about death from COVID-19 in a Brazilian state: A descriptive population-based register study

et al. 2023

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Gerenciamento Dos Sistemas De Informação Em Saúde – Avaliação Da Completude Dos Registros Da Tuberculose No Sistema De Informação De Agravos De Notificação Para Subsidiar Decisões

Braga,

Ribeiro,

Sanchez

et al. 2023

Rev. Contemp.

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Introdução: O agravos de notificação obrigatória representam um risco pela possibilidade de gerar surtos ou epidemias, dentre eles a Tuberculose. A ferramenta para que essa notificação seja realizada é a ficha individual de notificação (FIN), que será enviada ao Sistema de Informações de Agravos de Notificação (SINAN). Objetivo: descrever a completude dos campos da ficha de notificação compulsória da tuberculose de uma Unidade de Saúde do município de Niterói/RJ no período de 2014 a junho de 2023. Metodologia: Trata-se de uma pesquisa descritiva, realizada a partir das FIN de Tuberculose do Centro de Atenção e Investigação da Tuberculose Professor Mazzini Bueno/UFF, dos anos de 2014 a junho de 2023, totalizando 327 fichas. Utilizou-se o software Excell para tabulação e interpretação dos dados. Resultados e Discussão: Dos campos estudados, totalizaram 7.310 informações que foram agrupadas nas respectivas categorias da FIN. Todas as categorias apresentaram incompletudes. Conclusão: A incompletude dos campos não-obrigatórios criam lacunas informacionais que impactam na tomada de decisão. Cada campo possui sua importância de forma singular ou coletiva, expondo a necessidade de ações que promovam maior qualidade, como por exemplo a educação permanente.

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Completude do Sistema de Informação em Tuberculose no estado do Paraná, 2008-2017: estudo ecológico

Cited by 2 publications

References 23 publications

Completeness and quality of information about death from COVID-19 in a Brazilian state: A descriptive population-based register study

Completeness and quality of information about death from COVID-19 in a Brazilian state: A descriptive population-based register study

Gerenciamento Dos Sistemas De Informação Em Saúde – Avaliação Da Completude Dos Registros Da Tuberculose No Sistema De Informação De Agravos De Notificação Para Subsidiar Decisões

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