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Home / Publications / The SINASC descentralization and the completness of variables on Birth Certificates, in municipalities of Minas Gerais form 1998 to 2005.

The SINASC descentralization and the completness of variables on Birth Certificates, in municipalities of Minas Gerais form 1998 to 2005.

  • Authors: de Loyola Filho AI, Guimarães EAA, Hartz ZMA
  • Journal: Journal of Human Growth and Developemnt
  • Link: http://pepsic.bvsalud.org/pdf/rbcdh/v21n3/en_09.pdf

Live Birth Information System (SINASC) was decentralized to improve information quality and its use. This study evaluated completeness of variables on mother and pregnancy, newborn, and childbirth, available on System database between 1998 and 2005. The study was carried out in 38 municipalities in the state of Minas Gerais. The assessment took into consideration population size and condition of municipalities management. Percentage of fields not filled out was defined as an indicator, and the standard of quality adopted was based on Mello Jorge et al. (1996). Values between 90% and 100% were considered adequate; 70% – 89.9% were
not adequate, and critical when they were smaller than 70%. In general, in all municipalities evaluated there was improvement in Birth Certificates (DNV) filling throughout the period examined. It was observed important reduction of incompleteness in the variables race/color, education degree, marital status, children live births and dead birth. The decentralisation of the Information on the SINASC has enabled an improvement on information completeness in studied municipalities, regardless of the size and condition of municipalities management.

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About GHTM

GHTM is a R&D Unit that brings together researchers with a track record in Tropical Medicine and International & Global Health. It aims at strengthening Portugal's role as a leading partner in the development and implementation of a global health research agenda. Our evidence-based interventions contribute to the promotion of equity in health and to improve the health of populations.

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