Lays Janaina Prazeres Marques1, Conceição Maria de Oliveira2, Cristine Vieira do Bonfim3. 1. Universidade Federal de Pernambuco, Programa de Pós-Graduação Integrado em Saúde Coletiva, Recife-PE, Brasil. 2. Centro Universitário Maurício de Nassau, Departamento de Saúde, Recife-PE, Brasil. 3. Fundação Joaquim Nabuco, Diretoria de Pesquisas Sociais, Recife-PE, Brasil.
Abstract
OBJECTIVE: to assess the information completeness and agreement on infant deaths. METHODS: this was an evaluation study with descriptive design using data of the Information System on Live Births (Sinasc) and Mortality Information System (SIM) of residents in Recife-PE, Brazil, in 2010-2012; the deterministic records linkage was used to combine the data on infant deaths and live births. RESULTS: of the 837 infant deaths registered on SIM, 811 (96.9%) were linked; the completeness obtained was above 95% on SIM and 98% on Sinasc; the agreement varied from 0.762 (substantial) to 0.997 (excellent) for the intraclass correlation coefficient, and it was excellent for Kappa index (>0.80). CONCLUSION: Sinasc and SIM presented excellent completeness and agreement for most of the variables analyzed. The relationship between the databases is a tool that can be used by the health services of the municipalities to improve the vital statistics information systems.
OBJECTIVE: to assess the information completeness and agreement on infant deaths. METHODS: this was an evaluation study with descriptive design using data of the Information System on Live Births (Sinasc) and Mortality Information System (SIM) of residents in Recife-PE, Brazil, in 2010-2012; the deterministic records linkage was used to combine the data on infant deaths and live births. RESULTS: of the 837 infant deaths registered on SIM, 811 (96.9%) were linked; the completeness obtained was above 95% on SIM and 98% on Sinasc; the agreement varied from 0.762 (substantial) to 0.997 (excellent) for the intraclass correlation coefficient, and it was excellent for Kappa index (>0.80). CONCLUSION: Sinasc and SIM presented excellent completeness and agreement for most of the variables analyzed. The relationship between the databases is a tool that can be used by the health services of the municipalities to improve the vital statistics information systems.
Authors: Marcos Vinicius de Carvalho Mendes; Solange Laurentino Dos Santos; Claudia Cristina Lima de Castro; Betise Mery Alencar Sousa Macau Furtado; Heitor Victor Veiga da Costa; Albanita Gomes da Costa de Ceballos; Pauliana Valéria Machado Galvão; Cristine Vieira do Bonfim Journal: Int J Environ Res Public Health Date: 2021-12-30 Impact factor: 3.390
Authors: Lívia Teixeira de Souza Maia; Wayner Vieira de Souza; Antonio da Cruz Gouveia Mendes; Aline Galdino Soares da Silva Journal: Rev Saude Publica Date: 2017-12-04 Impact factor: 2.106