Literature DB >> 17384791

[Declared maternal death and the linkage between health information systems].

Maria Helena de Sousa1, José Guilherme Cecatti, Ellen Elizabeth Hardy, Suzanne Jacob Serruya.   

Abstract

OBJECTIVE: To describe the characteristics of maternal mortality according to the Mortality Information System in relation to the data corresponding to these records that are in other systems.
METHODS: This was a descriptive study using two information systems on vital data and another on the hospital system, for the 26 state capitals and the Federal District of Brazil, in 2002. Initially, the maternal mortality ratios were calculated and information on declared maternal deaths were obtained. From these data, the Mortality Information System was probabilistically linked with the Live Birth Information System and the Hospital Information System, using the "Reclink II" software, with a multiple-step blocking strategy. For paired records, the diagnoses and hospital procedures brought together by the best-known criteria for severe maternal morbidity were detailed.
RESULTS: A total of 339 maternal deaths were recorded in 2002. The official and adjusted maternal mortality ratios were, respectively, 46.4 and 64.9 (deaths per 100,000 live births). By correlating with data from the live birth system, 46.5% of the maternal deaths could be located; and from the hospital information, 55.2%. The most frequent admission diagnosis was infection (13.9%) and the most frequent procedure was intensive care unit admission (39.0%).
CONCLUSIONS: There were low percentage linkages between the records from the three sources studied. However, the possible failures and/or impossibilities in the linkages indicated may separately or jointly explain these low percentages.

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Year:  2007        PMID: 17384791     DOI: 10.1590/s0034-89102007000200003

Source DB:  PubMed          Journal:  Rev Saude Publica        ISSN: 0034-8910            Impact factor:   2.106


  2 in total

1.  Severe maternal morbidity (near miss) as a sentinel event of maternal death. An attempt to use routine data for surveillance.

Authors:  Maria H Sousa; Jose G Cecatti; Ellen E Hardy; Suzanne J Serruya
Journal:  Reprod Health       Date:  2008-10-28       Impact factor: 3.223

2.  Temporal evolution and spatial distribution of maternal death.

Authors:  Ioná Carreno; Ana Lúcia de Lourenzi Bonilha; Juvenal Soares Dias da Costa
Journal:  Rev Saude Publica       Date:  2014-08       Impact factor: 2.106

  2 in total

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