PIPages
Labs

Kyrah Brown

University of Texas at Arlington, TX·Public Health & Epidemiology

Severe maternal morbidity (SMM) covers life-threatening complications during pregnancy and childbirth. In the United States, non-Hispanic Black women experience it at much higher rates than other groups, and current prevention efforts have not closed that gap.

Fields

Public Health & Epidemiology

Social Science

Topics

severe maternal morbidity

maternal health

Black women

Grants
1 known grant, through May 2028

What they work on

  1. Build a qualitative system dynamics model of the interconnected clinical and social factors that produce severe maternal morbidity among Black women, using group model building with patients, doulas, clinicians and community stakeholders.
  2. Translate the qualitative causal map into a quantitative system dynamics simulation model, using data that includes women of different backgrounds so outcomes can be compared across groups.
  3. Use the simulation model to identify interventions and evaluate how effectively each policy or program would reduce severe maternal morbidity.
  4. Release the simulation model as a publicly accessible dashboard that supports learning and decision-making for clinical, community and policy stakeholders.

More about the research

SMM has many interacting causes, clinical and social, that change over time. This project treats it as a complex system and asks which combinations of factors drive risk and which interventions would actually lower it.

Why it matters

Black women in the U.S. face disproportionately high rates of life-threatening pregnancy complications. A simulation model could show which clinical, community and policy strategies would most reduce these complications. A public dashboard could then help clinicians, doulas, public health officials and policymakers choose among those strategies. The model could also be adapted to other regions and populations.

Known grants

From NIH and NSF research grants. Labs often have other funding we can't see.

Complex Systems Approaches to Advance Maternal Health Research and Prevention: Developing a System Dynamics Simulation Model of Severe Maternal Morbidity among Black Women in North Texas.

NIH · Sep 2023 – May 2028

Closest labs

Paula Alio

University of Rochester, NY·Public Health & Epidemiology

Explore Black fathers' group and individual experiences with perinatal care in Rochester, New York, through listening sessions with 40 fathers and interviews with 20 fathers.

Stacy Bartlett

University of Pittsburgh, PA·Public Health & Epidemiology

Evaluate current postpartum care models, including Fourth Trimester Care (4TM) with its two-week first visit, using quantitative electronic health record data from local health care sites.

Jean Guglielminotti

Columbia University, NY·Public Health & Epidemiology

Test whether the 2010 ACA Dependent Coverage Provision, which expanded private insurance to people under 26, is associated with lower severe maternal morbidity during childbirth, using Healthcare Cost and Utilization Project data.

The school

University of Texas at Arlington: 11 labs on PI Pages, $154M a year on research, 177 research doctorates a year.

More about University of Texas at Arlington

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