Objectives. To estimate use of medication for opioid use disorder (MOUD) and prescription opioids in pregnancy among mothers of infants with neonatal opioid withdrawal syndrome (NOWS). Methods. We used linked 2016–2018 North Carolina birth certificate and newborn and maternal Medicaid claims data to identify infants with an NOWS diagnosis and maternal claims for MOUD and prescription opioids in pregnancy (n = 3395). Results. Among mothers of infants with NOWS, 38.6% had a claim for MOUD only, 14.3% had a claim for prescription opioids only, 8.1% had a claim for both MOUD and prescription opioids, and 39.1% did not have a claim for MOUD or prescription opioids in pregnancy. Non-Hispanic Black women were less likely to have a claim for MOUD than non-Hispanic White women. The percentage of infants born full term and normal birth weight was highest among women with MOUD or both MOUD and prescription opioid claims. Conclusions. In the 2016–2018 NC Medicaid population, 60% of mothers of infants with NOWS had MOUD or prescription opioid claims in pregnancy, underscoring the extent to which cases of NOWS may be a result of medically appropriate opioid use in pregnancy. (Am J Public Health. Published online ahead of print August 12, 2021: e1–e4. https://doi.org/10.2105/AJPH.2021.306374 )
The Fetal–Infant mortality rate (FIMR) is the basic surveillance statistic in perinatal periods of risk (PPOR) analyses. This paper presents a model for the FIMR as the ratio of two Poisson random variables. From this model, expressions for estimators of variance, standard error, and relative standard error are developed. The coverage properties of interval estimators for the FIMR are investigated in a simulation study for both small and large populations and FIMR rates. Results from these studies are applied to a PPOR analysis of NC vital records. Results suggest that the sample size guidance provided in the literature to ensure statistical reliability is overly conservative and interval construction methodology should be selected based on population size.
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