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Leveraging Population Health Datasets to Advance Maternal Health Research.

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  • Author(s): Beck, Dana
  • Document Type:
    Electronic Resource
  • Online Access:
    https://escholarship.org/uc/item/9q1932zs
    https://escholarship.org/
  • Additional Information
    • Publisher Information:
      eScholarship, University of California 2023-06-01
    • Added Details:
      Beck, Dana
      Hall, Stephanie
      Costa, Deena Kelly
      Admon, Lindsay
    • Abstract:
      BackgroundMaternal mortality is a public health crisis in the U.S., with no improvement in decades and worsening disparities during COVID-19. Social determinants of health (SDoH) shape risk for morbidity and mortality but maternal structural and SDoH are under-researched using population health data. To expand knowledge of those at risk for or who have experienced maternal morbidity and inform clinical, policy, and legislative action, creative use of and leveraging existing population health datasets is logical and needed.MethodsWe review a sample of population health datasets and highlight recommended changes to the datasets or data collection to better inform existing gaps in maternal health research.ResultsAcross each of the datasets we found insufficient representation of pregnant and postpartum individuals and provide recommendations to enhance these datasets to inform maternal health research.ConclusionsPregnant and postpartum individuals should be oversampled in population health data to facilitate rapid policy and program evaluation. Postpartum individuals should no longer be hidden within population health datasets. Individuals with pregnancies resulting in outcomes other than livebirth (e.g., abortion, stillbirth, miscarriage) should be included, or asked about these experiences.
    • Subject Terms:
      Maternal health; Postpartum; Pregnancy; Social determinants of health; Structural determinants of health; Prevention; Aetiology; 2.3 Psychological; social and economic factors; Reproductive health and childbirth; Good Health and Well Being; Medical and Health Sciences; Studies in Human Society; Public Health; publication
    • Availability:
      Open access content. Open access content
      public
    • Note:
      application/pdf
    • Other Numbers:
      CDLER oai:escholarship.org:ark:/13030/qt9q1932zs
      qt9q1932zs
      https://escholarship.org/uc/item/9q1932zs
      https://escholarship.org/
      1391576183
    • Contributing Source:
      UC MASS DIGITIZATION
      From OAIster®, provided by the OCLC Cooperative.
    • Accession Number:
      edsoai.on1391576183
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