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Activity Number: 83 - Contributed Poster Presentations: Health Policy Statistics Section
Type: Contributed
Date/Time: Monday, August 3, 2020 : 10:00 AM to 2:00 PM
Sponsor: Health Policy Statistics Section
Abstract #312455
Title: Interventional Delivery for Hypertensive Disorders: A Causal Approach to Maternal and Infant Health Outcomes
Author(s): Jerson Cochancela* and Roee Gutman
Companies: Brown University and Brown University
Keywords: causal inference; bayesian methods; hypertension; MITSS; multiple imputation; propensity score

One of the most common medical problems arising during pregnancy is hypertension, complicating 9-10% of cases [1]. Hypertensive conditions are associated with increased risk of stroke or placenta abruption for the mother and low birth weight or decreased oxygen delivery for the infant. Some conditions clearly call for delivery, but many require week-by-week judgment to balance mother and infant risks. Under the potential outcomes framework [2], we examine the individual level causal effects of the decision to deliver at 34-38 weeks gestation in mothers with non-severe hypertensive disorders on neonatal intensive care unit admission, adverse respiratory outcomes of the infant, prolonged hospital stay, a neonatal morbidity index, and unplanned Cesarean delivery. We demonstrate the utility of Multiple Imputation with Two Splines in Subclasses [3,4] to generate credible estimates of the causal impact of intervention and provide investigators with empirical guidance across a crucial period of gestation.

Authors who are presenting talks have a * after their name.

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