Bernardo Lanza Queiroz1, Flávio Henrique Miranda de Araujo Freire2, Marcos Roberto Gonzaga2, Everton Emanuel Campos de Lima3. 1. Departamento de Demografia e Centro de Desenvolvimento e Planejamento Regional da Universidade Federal de Minas Gerais - Belo Horizonte (MG), Brasil. 2. Departamento de Demografia e Ciências Atuariais da Universidade Federal do Rio Grande do Norte - Natal (RN), Brasil. 3. Departamento de Demografia e Núcleo de Estudos de População "Elza Berquó" da Universidade Estadual de Campinas - Campinas (SP), Brasil.
Abstract
OBJECTIVE: : Assess the completeness of the DataSUS SIM death-count registry, by sex and Brazilian state, and estimate the probability of adult mortality (45q15), by sex and state, from 1980 to 2010. METHODS: : The study was based on mortality data obtained in the DataSUS Mortality Information System, from 1980 to 2010, and on population data from the 1980, 1991, 2000, and 2010 demographic censuses. The quality assessment of the registry data was conducted using traditional demographic and death distribution methods, and death probabilities were calculated using life-table concepts. RESULTS: : The results show a considerable improvement in the completeness of the death-count coverage in Brazil since 1980. In the southeast and south, we observed the complete coverage of the adult mortality registry, which did not occur in the previous decade. In the northeast and north, there were still places with a low coverage from 2000 to 2010, although there was a clear improvement in the quality of data. For all Brazilian states, there was a decline in the probability of adult mortality; we observed, however, that the death probability for males is much higher than that for females throughout the whole analysis period. CONCLUSION: : The observed improvements seem to be related to investments in the public health care system and administrative procedures to improve the recording of vital events.
OBJECTIVE: : Assess the completeness of the DataSUS SIM death-count registry, by sex and Brazilian state, and estimate the probability of adult mortality (45q15), by sex and state, from 1980 to 2010. METHODS: : The study was based on mortality data obtained in the DataSUS Mortality Information System, from 1980 to 2010, and on population data from the 1980, 1991, 2000, and 2010 demographic censuses. The quality assessment of the registry data was conducted using traditional demographic and death distribution methods, and death probabilities were calculated using life-table concepts. RESULTS: : The results show a considerable improvement in the completeness of the death-count coverage in Brazil since 1980. In the southeast and south, we observed the complete coverage of the adult mortality registry, which did not occur in the previous decade. In the northeast and north, there were still places with a low coverage from 2000 to 2010, although there was a clear improvement in the quality of data. For all Brazilian states, there was a decline in the probability of adult mortality; we observed, however, that the death probability for males is much higher than that for females throughout the whole analysis period. CONCLUSION: : The observed improvements seem to be related to investments in the public health care system and administrative procedures to improve the recording of vital events.
Authors: Diego Augusto Santos Silva; Mohsen Naghavi; Bruce B Duncan; Maria Inês Schmidt; Maria de Fatima Marinho de Souza; Deborah Carvalho Malta Journal: Diabetol Metab Syndr Date: 2019-02-28 Impact factor: 3.320
Authors: Diego Augusto Santos Silva; Mark Stephen Tremblay; Maria de Fatima Marinho de Souza; Meghan Mooney; Mohsen Naghavi; Deborah Carvalho Malta Journal: PLoS One Date: 2018-02-01 Impact factor: 3.240
Authors: Jennifer M Ross; Nathaniel J Henry; Laura A Dwyer-Lindgren; Andrea de Paula Lobo; Fatima Marinho de Souza; Molly H Biehl; Sarah E Ray; Robert C Reiner; Rebecca W Stubbs; Kirsten E Wiens; Lucas Earl; Michael J Kutz; Natalia V Bhattacharjee; Hmwe H Kyu; Mohsen Naghavi; Simon I Hay Journal: BMC Med Date: 2018-09-06 Impact factor: 8.775