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Related Experiment Videos

Implications of cleaning gestational age data.

Jennifer D Parker1, Kenneth C Schoendorf

  • 1Infant and Child Health Studies Branch, National Center for Health Statistics, Hyattsville, MD 20782, USA. jdparker@cdc.gov

Paediatric and Perinatal Epidemiology
|June 18, 2002
PubMed
Summary
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Accurate gestational age reporting is crucial for birth studies. Two methods for handling inconsistent data excluded more high-risk and Black infants, impacting perinatal outcome estimates.

Area of Science:

  • Perinatal epidemiology
  • Biostatistics
  • Public health

Background:

  • Gestational age is a key birth characteristic in epidemiological research.
  • Inconsistent reporting of gestational age on birth certificates presents challenges.
  • Existing methods to manage this data inconsistency lack systematic evaluation.

Purpose of the Study:

  • To compare perinatal outcome estimates using two common methods for managing inconsistent gestational age data.
  • To evaluate the impact of these data management methods on study populations and outcomes.

Main Methods:

  • Utilized singleton births from the 1995-97 US linked birth/infant death files.
  • Compared two published methods: Alexander et al. (exclusion) and Zhang and Bowes (reassignment/exclusion).

Related Experiment Videos

  • Analyzed the effects of data modifications on birth records and demographic groups.

    • Main Results:

    • Both methods modified over 20% of birth records with gestational age 28-30 weeks.
    • The Alexander method excluded 0.4% of the population; Zhang method reassigned 1.0% and excluded 0.2%.
    • Differential exclusions affected high-risk, low-risk, Black, and white births, influencing perinatal outcome estimates.

    Conclusions:

    • Data management methods for inconsistent gestational age significantly impact study populations and outcomes.
    • Differential exclusions based on risk and race affect perinatal estimates.
    • Future study comparisons must consider data modification techniques, affected populations, and assessed outcomes.