<p><b>Background:</b> With the onset of a second
decade of opioid use creating devastating outcomes in the United States, there
is value in studying the prevalence of Opioid Use Disorder (OUD) in pregnant
women, a group critical to this outbreak. We used Medicaid claims 2014-2019, to
analyze the medical, social and economic aspects of OUD in pregnant women and their
babies.</p>
<p> </p>
<p><b>Objectives:</b> The research aims to study
the impact of Opioid Use Disorder (OUD) in Medicaid-enrolled pregnant women and
model the vertical perinatal effect of OUD, known as Neonatal Abstinence
Syndrome (NAS), to the newborn baby. We also attempt to understand the effects
of state legislation on doctor shopping and the role of prescribers in
fraudulent solicitation of opioids.</p>
<p> </p>
<p><b>Methods</b>: The research uses multivariate
logistic regression to create a predictive model for high-risk pregnant women
based on their claims history. Doctor shopping trends pre- and post-legislation
are analyzed using regression discontinuity and graph analysis of the
co-prescription network of physicians. Finally, OUD and NAS are modeled
together as a probabilistic Bayesian belief network to simulate the cost of
interventions, namely MAT enrollment, pharmacotherapy and dyad rooming-in.</p>
<p> </p>
<b>Results</b>: Pregnant women who may have NAS offsprings are
likely to have a history of nicotine addiction, alcohol use, dependence on pain
medication and mental health diagnoses in the years leading up to pregnancy. State
legislation is found to reduce prescription opioid shopping over the years,
though the research highlights the need for policies to target complicit
prescribers in addition to prescription monitoring. Finally, the compartment
model calculates an incidence of 19-22% for downstream neurological delay in
babies born to high-risk mothers. Lower delay rates are found to be associated
with high MAT enrollment in the mother, high rooming-in of mother-infant dyad
and low rate of pharmacotherapy in infants.