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Abstract
Objectives. To estimate trends in incidence, outcomes, and costs among hospital deliveries
related to amphetamines and opioids. Methods. We analyzed 2004-to-2015 data from
the National Inpatient Sample, a nationally representative sample of hospital discharges
in the United States compiled by the Healthcare Cost and Utilization Project, by using
a repeated cross-sectional design. We estimated the incidence of hospital deliveries
related to maternal amphetamine or opioid use with weighted logistic regression. We
measured clinical outcomes and costs with weighted multivariable logistic regression
and generalized linear models. Results. Amphetamine- and opioid-related deliveries
increased disproportionately across rural compared with urban counties in 3 of 4 census
regions between 2008 to 2009 and 2014 to 2015. By 2014 to 2015, amphetamine use was
identified among approximately 1% of deliveries in the rural West, which was higher
than the opioid-use incidence in most regions. Compared with opioid-related and other
hospital deliveries, amphetamine-related deliveries were associated with higher incidence
of preeclampsia, preterm delivery, and severe maternal morbidity and mortality. Conclusions.
Increasing incidence of amphetamine and opioid use among delivering women and associated
adverse gestational outcomes indicate that amphetamine and opioid use affecting birth
represent worsening public health crises.
Neonatal abstinence syndrome (NAS) is a postnatal drug withdrawal syndrome primarily caused by maternal opiate use. No national estimates are available for the incidence of maternal opiate use at the time of delivery or NAS. To determine the national incidence of NAS and antepartum maternal opiate use and to characterize trends in national health care expenditures associated with NAS between 2000 and 2009. A retrospective, serial, cross-sectional analysis of a nationally representative sample of newborns with NAS. The Kids' Inpatient Database (KID) was used to identify newborns with NAS by International Classification of Diseases, Ninth Revision, Clinical Modification (ICD-9-CM) code. The Nationwide Inpatient Sample (NIS) was used to identify mothers using diagnosis related groups for vaginal and cesarean deliveries. Clinical conditions were identified using ICD-9-CM diagnosis codes. NAS and maternal opiate use were described as an annual frequency per 1000 hospital births. Missing hospital charges (<5% of cases) were estimated using multiple imputation. Trends in health care utilization outcomes over time were evaluated using variance-weighted regression. All hospital charges were adjusted for inflation to 2009 US dollars. Incidence of NAS and maternal opiate use, and related hospital charges. The separate years (2000, 2003, 2006, and 2009) of national discharge data included 2920 to 9674 unweighted discharges with NAS and 987 to 4563 unweighted discharges for mothers diagnosed with antepartum opiate use, within data sets including 784,191 to 1.1 million discharges for children (KID) and 816,554 to 879,910 discharges for all ages of delivering mothers (NIS). Between 2000 and 2009, the incidence of NAS among newborns increased from 1.20 (95% CI, 1.04-1.37) to 3.39 (95% CI, 3.12-3.67) per 1000 hospital births per year (P for trend < .001). Antepartum maternal opiate use also increased from 1.19 (95% CI, 1.01-1.35) to 5.63 (95% CI, 4.40-6.71) per 1000 hospital births per year (P for trend < .001). In 2009, newborns with NAS were more likely than all other hospital births to have low birthweight (19.1%; SE, 0.5%; vs 7.0%; SE, 0.2%), have respiratory complications (30.9%; SE, 0.7%; vs 8.9%; SE, 0.1%), and be covered by Medicaid (78.1%; SE, 0.8%; vs 45.5%; SE, 0.7%; all P < .001). Mean hospital charges for discharges with NAS increased from $39,400 (95% CI, $33,400-$45,400) in 2000 to $53,400 (95% CI, $49,000-$57,700) in 2009 (P for trend < .001). By 2009, 77.6% of charges for NAS were attributed to state Medicaid programs. Between 2000 and 2009, a substantial increase in the incidence of NAS and maternal opiate use in the United States was observed, as well as hospital charges related to NAS.
The accuracy of maternal morbidity estimates from hospital discharge data may be influenced by incomplete identification of deliveries. In maternal/infant health studies, obstetric deliveries are often identified only by the maternal outcome of delivery code (International Classification of Diseases code = V27). We developed an enhanced delivery identification method based on additional delivery-related codes and compared the performance of the enhanced method with the V27 method in identifying estimates of deliveries as well as estimates of maternal morbidity. The enhanced and standard V27 methods for identifying deliveries were applied to data from the 1998-2004 Healthcare Cost and Utilization Project Nationwide Inpatient Sample, an annual nationwide representative survey of U.S. hospitalizations. Odds ratios (ORs) and 95% confidence intervals (CIs) from logistic regression were used to examine predictors of deliveries not identified using the V27 method. The enhanced method identified 958,868 (3.4%) more deliveries than the 27,128,539 identified using the V27 code alone. Severe complications including major puerperal infections (OR = 3.1, 95% CI 2.8-3.4), hysterectomy (OR = 6.0, 95% CI 5.3-6.8), sepsis (OR = 11.9, 95% CI 10.3-13.6) and respiratory distress syndrome (OR = 16.6, 95% CI 14.4-19.2) were strongly associated with deliveries not identified by the V27 method. Nationwide prevalence rates of severe maternal complications were underestimated with the V27 method compared to the enhanced method, ranging from 9% underestimation for major puerperal infections to 40% underestimation for respiratory distress syndrome. Deliveries with severe obstetric complications may be more likely to be missed using the V27 code. Researchers should be aware that selecting deliveries from hospital stay records by V27 codes alone may affect the accuracy of their findings.
[1
]Lindsay K. Admon and Vanessa K. Dalton are with the Department of Obstetrics and Gynecology
at the University of Michigan, Ann Arbor. L. K. Admon was also with the US Department
of Veterans Affairs, Ann Arbor, at the time this work was completed. Caroline R. Richardson
is with the Department of Family Medicine at the University of Michigan. Katy B. Kozhimannil
is with the Division of Health Policy and Management, University of Minnesota School
of Public Health, Minneapolis. Gavin Bart is with the...
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