Determining what matters: data resources for examining maternal health equity

Maternal morbidity and mortality (MMM) rates in the U.S. are high and increasing, and are disproportionately experienced by understudied, underrepresented, and underreported (U3) populations, especially Black, Indigenous, and/or rural women. Decreasing MMM among U3 women would substantially improve maternal health equity and health outcomes, yet current data limitations inhibit our ability to fully understand the reasons underlying the disparities or regional nuances. This article calls for leveraging diverse, publicly available data such as deidentified health system utilization data; geocoded locations of hospitals providing multiple levels of maternal care services; and social determinants and demographic data into a series of linked datasets to enable county-level investigations of maternal health equity, healthcare utilization, and health outcomes.

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Publication Details

Journal
Frontiers in Public Health
Published
2025-02-28
DOI
https://doi.org/10.3389/fpubh.2025.1499468
Citations
2
Primary Topic
Health disparities and outcomes
Type
article
Field-Weighted Citation Impact
4.33

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article

Determining what matters: data resources for examining maternal health equity

Karina M. Shreffler, Leremy A Colf
2 citations
Frontiers in Public Health
Health disparities and outcomes
4.33
article

Determining what matters: data resources for examining maternal health equity

Karina M. Shreffler, Leremy A Colf
article en
2 citations

Abstract

Maternal morbidity and mortality (MMM) rates in the U.S. are high and increasing, and are disproportionately experienced by understudied, underrepresented, and underreported (U3) populations, especially Black, Indigenous, and/or rural women. Decreasing MMM among U3 women would substantially improve maternal health equity and health outcomes, yet current data limitations inhibit our ability to fully understand the reasons underlying the disparities or regional nuances. This article calls for leveraging diverse, publicly available data such as deidentified health system utilization data; geocoded locations of hospitals providing multiple levels of maternal care services; and social determinants and demographic data into a series of linked datasets to enable county-level investigations of maternal health equity, healthcare utilization, and health outcomes.

Frontiers in Public HealthVol. 13
University of Oklahoma Health Sciences Center (US)
Eunice Kennedy Shriver National Institute of Child Health and Human Development
Good health and well-being
Openalex Percentile: Top 8%
Health disparities and outcomes
4.33
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Determining what matters: data resources for examining maternal health equity — Karina M. Shreffler, Leremy A Colf · Frontiers in Public Health (2025) | TGRS Research Map | TGRS