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Related Experiment Videos

Client and birth record linkage: a method, biases, and lessons.

J Holian

    Evaluation Practice
    |January 1, 1996
    PubMed
    Summary
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    Record linkage is crucial for evaluation research, especially when assessing perinatal outcomes. This study details a method for linking client records to birth and stillbirth data, addressing potential biases.

    Area of Science:

    • Public Health
    • Biostatistics
    • Evaluation Research

    Background:

    • Rising data collection costs necessitate efficient research methods.
    • Extant data files offer opportunities for secondary analysis.
    • Evaluation research increasingly relies on data linkage techniques.

    Purpose of the Study:

    • To discuss record linkage as a data-generating technique for evaluation studies.
    • To describe a specific method for linking client records to live and stillbirth records.
    • To identify and discuss potential biases in the record linkage process.

    Main Methods:

    • Utilizing extant client records from a comprehensive prenatal program.
    • Linking client records to live birth and stillbirth records in Cleveland, Ohio.
    Keywords:
    AmericasBiasBirth RecordsData CollectionData LinkageDemographic FactorsDeveloped CountriesError SourcesEvaluationEvaluation MethodologyFetal DeathInfant MortalityMeasurementMortalityNorth AmericaNorthern AmericaOhioPopulationPopulation DynamicsPopulation StatisticsResearch MethodologyUnited StatesVital Statistics

    Related Experiment Videos

  • Describing a methodology for accurate and reliable data linkage.
  • Main Results:

    • The paper outlines a feasible method for record linkage in evaluation research.
    • Potential biases inherent in the linkage process are identified.
    • Key considerations for addressing linkage issues are discussed.

    Conclusions:

    • Record linkage is a valuable tool for evaluation research, particularly in public health.
    • Methodological rigor is essential to mitigate biases in record linkage.
    • This approach supports the assessment of perinatal outcomes for vulnerable populations.