Literature DB >> 19009139

[Investigation of risk factors for infant mortality by linking health databases].

Estela Maria Ramos do Nascimento1, Maria da Conceição N Costa, Eduardo Luiz A Mota, Jairnilson S Paim.   

Abstract

In order to identify risk factors for infant mortality (< 1 year of age) in Salvador, Bahia State, Brazil, by means of data bank linkage, a case-control study was performed, selecting individuals from the Mortality Information System (SIM; 2000 and 2001) and the Information System on Live Births (SINASC; 2000). The database linkage or data-sharing technique was used, with the Access 2000 software, version 9.0. Independent variables were collected from the SINASC database. The association between potential risk factors and infant death was evaluated by logistic regression. Prematurity, maternal occupation as a domestic servant, housewife, or student, delivery in public health services, insufficient number of prenatal visits, and low birth weight were predictors of infant death. Linkage revealed missing and incomplete data. Only 40.9% of data were recorded electronically. Despite these limitations, data linkage allowed better use of the two systems and the identification of critical points to further improve their quality.

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Year:  2008        PMID: 19009139     DOI: 10.1590/s0102-311x2008001100014

Source DB:  PubMed          Journal:  Cad Saude Publica        ISSN: 0102-311X            Impact factor:   1.632


  2 in total

1.  Use of linkage to improve the completeness of the SIM and SINASC in the Brazilian capitals.

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

2.  FACTORS ASSOCIATED WITH INFANT MORTALITY IN A BRAZILIAN CITY WITH HIGH HUMAN DEVELOPMENT INDEX.

Authors:  Maria Volpato Kropiwiec; Selma Cristina Franco; Augusto Randüz do Amaral
Journal:  Rev Paul Pediatr       Date:  2017-09-21
  2 in total

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