Abstract

Identifying health care utilization and costs associated with active and passive smoking during pregnancy could help improve health management strategies. Data are from the Newborn Epigenetics STudy (NEST), a birth cohort enrolled from 2005-2011 in Durham and adjacent counties in North Carolina, United States. Participants included those for whom prenatal serum samples were assayed and for whom administrative data were obtainable (N=1,045). Zero-inflated Poisson (ZIP) regression models were used to assess associations between cotinine, adjusted for covariates (e.g., race and ethnicity, age at delivery, cohabitation status, education), and health care utilization outcomes. Generalized linear regression models were used to estimate average total charges. Simulation models were conducted to determine the economic benefits of reducing SHS and smoking during pregnancy. Increasing levels of cotinine were positively associated with parent's number of ED visits (coefficient(b)=0.0012, standard error (SE)=0.0002; P<.001), the number of ICU hours (b=0.0079, SE=0.0025; P=.002)), time spent in the ICU (b=0.0238, SE=0.0020, P<.001), and the number of OP visits (b=0.0003, SE=0.0001; P<.001). For infants, higher cotinine levels were associated with higher number of ED (b=0.0012, SE=0.0004; P=.005), ICU (b=0.0050, SE=0.001; P<.001), and OP (b=0.0006, SE=0.0002; P<.001) visits and longer time spent in the ED (b=0.0025, SE=0.0003; P<.001), ICU (b=0.0005, SE=0.0001; P<.001), and IP (b=0.0020, SE=0.0002; P<.001). Simulation results showed that a 5% reduction in smoking would correspond to a potential median cost savings of $150,533 from ED visits of parents and infants. Our findings highlight the importance of smoke exposure cessation during pregnancy to reduce health care utilization and costs for both parents and infants. This study reinforces the importance of reducing smoking and secondhand smoke exposure during pregnancy. Focusing on expanding cessation services to this group could help reduce morbidities observed within this population. Furthermore, there is the potential for health care costs savings to health care systems, especially to those with high delivery numbers. These cost savings are represented by potential reductions in ED, OP, and ICU hours and visits.

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