Assessing the Impact of Different Race-Bridging Algorithms on the Reported Rate of Birth Defects

Insights

Race-bridging techniques can help standardize birth defect data collected with inconsistent race categories. Different methods impact race-specific birth defect rates, suggesting further investigation is needed for optimal application.

Area of Science:

  • Public Health
  • Epidemiology
  • Biostatistics

Background:

  • Florida birth certificates changed race identification methods in 2004, from single to multiple race options.
  • This data collection inconsistency impacts the accuracy of race-specific time trend analyses for birth defects.
  • Race-bridging techniques aim to reassign multiple race responses to single categories for data standardization.

Purpose of the Study:

  • To compare race-specific birth defect rates using two methods: current data handling and race-bridging techniques.
  • To evaluate the impact of six different race-bridging methods on birth defect rate calculations.

Main Methods:

  • Utilized Florida birth data (2005-2014) for non-Hispanic mothers.
  • Calculated birth defect rates for White, Black, American Indian/Alaska Native (AIAN), and Asian/Pacific Islander (API) populations.
  • Applied six distinct race-bridging methods: no bridging, largest group (whole allocation), smallest group (whole allocation), largest group other than white (whole allocation), equal fractions (fractional allocation), and reported fractions (fractional allocation).

Main Results:

  • The choice of race-bridging method significantly altered race-specific birth defect rates.
  • Whole allocation methods (largest/smallest group) generally increased White, Black, and API populations, decreasing their birth defect rates, while AIAN was unaffected or decreased.
  • Fractional allocation methods (equal/reported fractions) increased live birth counts across all races, leading to corresponding decreases in birth defect rates.

Conclusions:

  • Race-bridging techniques can improve comparability of race/ethnic data in birth defect studies, especially for national or longitudinal analyses.
  • The impact of bridging methods on specific race categories and overall rates varies considerably.
  • Further research is necessary to determine the optimal race-bridging technique for different health outcomes and populations.
Abstract

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