[Use of vital data to estimate mortality indicators in Brazil: from the active search for events to the development of methods].

Autor: Frias PG; Instituto de Medicina Integral Prof. Fernando Figueira, Recife, Brasil., Szwarcwald CL; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil., Morais OL Neto; Instituto de Patologia Tropical e Saúde Pública, Universidade Federal de Goiás, Goiânia, Brasil., Leal MD; Escola Nacional de Saúde Pública Sergio Arouca, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil., Cortez-Escalante JJ; Organização Pan-Americana da Saúde, Brasília, Brasil., Souza PR Junior; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil., Almeida WD; Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brasil., Silva JB Junior; Agência Nacional de Vigilância Sanitária, Brasília, Brasil.
Jazyk: portugalština
Zdroj: Cadernos de saude publica [Cad Saude Publica] 2017 Apr 03; Vol. 33 (3), pp. e00206015. Date of Electronic Publication: 2017 Apr 03.
DOI: 10.1590/0102-311X00206015
Abstrakt: The article addresses Brazil's historical development in the use of vital data, incorporating procedures for the evaluation of such data and research with active search of births and deaths, resulting in the proposal of methods for calculating birth and mortality indicators through the use of continuous records. In addition to research to capture vital events from the years 2000 and 2008, the article presents procedures for the correction of events reported to the information systems and the paradigm shift in the method for calculating mortality indicators, resulting from such initiatives. The study also features advances in the adequacy of information on deaths and live births in Brazil, changes in the estimates on infant mortality resulting from the proposed methods, and the challenge of estimating the indicator for subnational geographic areas with lower population contingents, mostly consisting of municipalities (counties) with low and irregular data coverage.
Databáze: MEDLINE