Avaliação do Sistema de Vigilância do Programa Nacional de Imunizações - Módulo Registro do Vacinado, Brasil, 2017

Abstract

Resumo Objetivo Avaliar o Sistema de Vigilância em Imunizações considerando-se o módulo Registro do Vacinado, do Sistema de Informações do Programa Nacional de Imunizações, Brasil, 2017. Métodos Estudo descritivo, utilizando-se do Guidelines for Evaluating Public Health Surveillance Systems, publicado pelo Centers for Disease Control and Prevention (CDC/Atlanta/GA/United States), para avaliar os atributos de simplicidade, flexibilidade, qualidade dos dados, sensibilidade, oportunidade e utilidade do sistema para seis vacinas do calendário de vacinação da criança. Resultados O Sistema de Vigilância em Imunizações foi considerado complexo em sua descrição, flexível às mudanças no calendário vacinal, de baixa qualidade dos dados para as vacinas DTP e rotavírus, de aceitabilidade regular, com alta sensibilidade para a vacina BCG, inoportuno para a vacina contra hepatite B e útil às finalidades do Programa Nacional de Imunizações. Conclusão Qualidade dos dados, aceitabilidade e oportunidade não apresentaram resultados satisfatórios, sendo necessárias ações pelo aprimoramento do sistema de informações.

Human papillomavirus vaccination coverage in Northeast Brazil, 2013-2021: a descriptive study

“…As a limitation of this study, we point out the potential inaccuracy of the coverage calculation, given that this study was conducted based on secondary data (indirect method), which may present deficiency in attributes such as opportunity, data quality, completeness, among others. 17 As we are dealing with anonymized secondary data, it was not possible to verify the consistency of the records regarding their correctness, so that eventual registration errors related to sex and age group constitute potential biases.…”

Impact of the COVID-19 Pandemic on Human Papillomavirus Vaccination in Brazil

“…However, but there was a lack of control by the researchers regarding the standardization and quality of data recorded by the SI-PNI. The SI-PNI is considered a powerful tool as a source of data regarding immunizations of the Brazilian population, and although the system may present some draw backs, as pointed out, it has a solid, technical bases, with more than 40 years of existence, contributing to support monitoring and decision-making at the municipal, state and federal levels [ 43 , 44 ]. The SI-PNI is useful in the fulfillment of its mission, being decisive both in the control and validating the identification of groups susceptible to vaccine-preventable diseases through individualized data and the management of preventive actions throughout Brazilian regions [ 45 ].…”

“…The SI-PNI is useful in the fulfillment of its mission, being decisive both in the control and validating the identification of groups susceptible to vaccine-preventable diseases through individualized data and the management of preventive actions throughout Brazilian regions [ 45 ]. A study that evaluated the SI-PNI reported that the system maintains sensitive criteria, managing to capture a satisfactory percentage of vaccination of the population [ 43 ]. In addition, the SI-PNI is coordinated by the Ministry of Health and has stringent regulations for control, adherence and standard fulfillment targets [ 43 ].…”

“…A study that evaluated the SI-PNI reported that the system maintains sensitive criteria, managing to capture a satisfactory percentage of vaccination of the population [ 43 ]. In addition, the SI-PNI is coordinated by the Ministry of Health and has stringent regulations for control, adherence and standard fulfillment targets [ 43 ]. Therefore, the data reported here are well accepted and are close to reality for this country.…”

Qualidade, oportunidade e tratamento de dados de tuberculose e coinfecção com vírus da imunodeficiência humana

“…This is a cross-sectional study of data quality analysis of SINAN-TB according to the quality attributes defined in the methodology proposed by the Centers for Disease Control and Prevention (CDC), United States of America. 10,11 The data quality analysis is performed by checking the attributes of completeness and consistency of data. 10 Data consistency is defined as the percentage of cases with the date of notification higher than the date of diagnosis, using as a threshold greater than or equal to 70%.…”