Prajina Edayath

Graduate Trainee, University of Texas at El Paso

1 active project

Disparities in maternal mortality and morbidity in the USA

Maternal health is an important part of the health system of any country. Wit U.S, maternal mortality and morbidity is higher compared to any other developed country. According to PMSS report maternal death rate is 17.3 per 100,000 live birth.…

Scientific Questions Being Studied

Maternal health is an important part of the health system of any country. Wit U.S, maternal mortality and morbidity is higher compared to any other developed country. According to PMSS report maternal death rate is 17.3 per 100,000 live birth. The World Health Organization (WHO) report says the position of the U.S in maternal mortality ranking is 56, which is unacceptable for a developed country. A clear picture of disparity is present in every report dealing this topic. The mortality rate among black American women is about 3 times higher than Non-Hispanic white women. The death rate among other minorities like Non-Hispanic American Indian or Alaska Native, Asian-Pacific Islander is also higher. The case of maternal morbidity is also not different. The maternal death rate among Hispanic-Whites are lower, however Severe Maternal Morbidity (SMM) is higher among this minority group. Most of this mortality and morbidity are avoidable if the women get timely care or treatment.

Project Purpose(s)

  • Population Health
  • Social / Behavioral
  • Educational

Scientific Approaches

With the time-stamped data for different procedures, laboratory results, and other hospital visits for the patient cohort, we aim to develop a process mining algorithm to identify variations in care pathways that cause adverse maternal outcomes. Process mining approaches in healthcare to identify variability in system level factors is a newer approach to conduct disparity research. Our research will address this gap in literature.
We hope to address the potential stigmatization issues by educating necessary stakeholders including hospital, providers, and policymakers. Once we have a preliminary framework, we hope to conduct a community based participatory research and engage with the community members. We propose that the process mining approach would help providers identify the “hotspots” in the care pathways that cause disparities.

Anticipated Findings

The major factors causing maternal mortality and morbidity are sociodemographic, socioeconomic, provider factors and system level factors. This research investigates the system level factors that can cause disparity in maternal health. With the AllofUs data we are trying to group the women utilized the healthcare system for their maternal care, with respect to their race/ethnicity, pregnancy complications, outcome etc. and find out the factors that caused adverse pregnancy outcome, mortality, and morbidity. Moreover, we apply novel process mining approaches to map the patient cohort and identify any changes in care pathways that may result in disparities.

The research will be helpful to find out the system-level factors other than income, insurance, or social status causing disparity in maternal health. Also, it can help in reducing those factors that have a major role in maternal health care disparities.

Demographic Categories of Interest

  • Race / Ethnicity
  • Geography
  • Access to Care
  • Education Level
  • Income Level
  • Others

Research Team

Owner:

Collaborators:

  • Sreenath Chalil Madathil - Early Career Tenure-track Researcher, University of Texas at El Paso
  • Myrtede Alfred - Other, Medical University of South Carolina
  • A. Logan - Early Career Tenure-track Researcher, Medical University of South Carolina
  • Anindita Nath - Graduate Trainee, University of Texas at El Paso
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