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An assessment of the data quality for live births and infant deaths for the 1998-birth cohort, city of São Paulo, using information from SINASC and SIM

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  • Carla Jorge Machado

Abstract

In this article we use data from the 1998 birth-cohort from the City of São Paulo for live births and data on deaths from the same birth cohort that took place before the first year of life. Information on live birth came from the Information System of Live Births (SINASC) and on deaths came from the Information System on Mortality (SIM). Our aim was to evaluate two aspects of data quality, which are the percentage of missing information and consistency of the data based on empirical regularities observed in other populations or with the criterion of plausibility. Preference for digits, sex ratios at birth and at death and the Apgar score distribution were examples of quality indicators evaluated in this population. We concluded that information is much more frequently recorded for live births than for infant deaths (except for race/color of the infant) and that the internal consistency of the information can be considered satisfactory for the study population.

Suggested Citation

  • Carla Jorge Machado, 2003. "An assessment of the data quality for live births and infant deaths for the 1998-birth cohort, city of São Paulo, using information from SINASC and SIM," Textos para Discussão Cedeplar-UFMG td215, Cedeplar, Universidade Federal de Minas Gerais.
    • Handle: RePEc:cdp:texdis:td215
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    File URL: https://www.cedeplar.ufmg.br/pesquisas/td/TD%20215.pdf
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    References listed on IDEAS

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    1. Zemach, R., 1984. "What the vital statistics system can and cannot do," American Journal of Public Health, American Public Health Association, vol. 74(8), pages 756-758.
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      Keywords

      SINASC; SIM; missing data; consistency checks; data quality; birth-cohort;
      All these keywords.

      JEL classification:

      • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
      • I10 - Health, Education, and Welfare - - Health - - - General
      • C89 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other

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