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A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting
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Development of a linked perinatal data resource from state administrative and community-based program data.

Eric S Hall1, Neera K Goyal2, Robert T Ammerman3

  • 1Perinatal Institute and Biomedical Informatics, Cincinnati Children's Hospital, Cincinnati, OH, USA. eric.hall@cchmc.org.

Maternal and Child Health Journal
|February 20, 2013
PubMed
Summary

This study developed a method to combine maternal-child health data from vital records and home visiting programs. This approach creates richer datasets for evaluating maternal and infant health outcomes.

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Area of Science:

  • Public Health
  • Health Informatics
  • Data Science

Background:

  • Maternal-child health data resources are often fragmented.
  • Integrating state administrative records with community program data is challenging.
  • A unified data resource is needed to evaluate maternal and child health interventions.

Purpose of the Study:

  • To demonstrate a generalizable approach for creating maternal-child health data resources.
  • To link vital records, hospital discharge data, and home visiting program data.
  • To establish a comprehensive dataset for analyzing maternal and infant health outcomes.

Main Methods:

  • Utilized probabilistic and deterministic linking strategies to integrate disparate data sources.
  • Employed vital records as a central hub for linking hospital and home visiting data.
  • Linked individual-level data to area-level measures using the American Community Survey.

Main Results:

  • Successfully created a linked dataset of 2,330 maternal-infant pairs.
  • Achieved 100% accuracy in a validation subset for matches between home visiting and vital records.
  • Demonstrated that combined data sources provide more comprehensive perinatal health details.

Conclusions:

  • The developed approach offers a template for leveraging diverse data sources.
  • This method supports research evaluating home visiting program reach and effectiveness.
  • The integrated data resource can assess associations between interventions and maternal-child health outcomes.