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Related Experiment Videos

Using linked birth and infant death files for program planning and evaluation: NIMS workshop lessons.

C Zahniser, G Halpin, W Hollinshead

    Public Health Reports (Washington, D.C. : 1974)
    |March 1, 1987
    PubMed
    Summary

    Using linked birth and infant death data improves health program planning. This approach provides detailed insights into infant mortality, enabling better targeting and evaluation of health services for improved maternal and child health outcomes.

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    Area of Science:

    • Public Health
    • Epidemiology
    • Health Services Research

    Background:

    • Effective program planning relies on comprehensive data.
    • Identifying health problems is the crucial first step in program development.
    • Maternal and child health directors require robust data for informed decision-making.

    Purpose of the Study:

    • To explore the utility of linked birth and infant death data for program planning and evaluation.
    • To demonstrate how combined data sources enhance problem identification in maternal and child health.
    • To guide health planners in utilizing detailed data for targeted interventions.

    Main Methods:

    • A workshop was conducted during the National Infant Mortality Surveillance Conference.
    • Maternal and child health directors reviewed the application of linked birth and infant death data.

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  • Analysis focused on birth weight distribution, mortality risks, and causes of death.

    • Main Results:

    • Linked birth and infant death files offer more detailed information than individual certificates.
    • This data facilitates the assessment of infant mortality by birth weight and maternal characteristics.
    • Analysis can pinpoint specific issues within the childbearing population and healthcare delivery.

    Conclusions:

    • Linked birth and infant death data are invaluable for identifying and defining infant health problems.
    • Clearly defined problems allow for better targeting and evaluation of health services.
    • This data-driven approach supports the reduction of infant mortality and improvement of child health outcomes.