Within-Hospital Concordance of Opioid Exposure Diagnosis Coding in Mothers and Newborns

Trends in Neonatal Opioid Withdrawal Syndrome and Opioid Exposure Diagnoses Among Infants With Private Health Insurance, 2016-2021: Introduction of the P04.14 ICD-10-CM Code

OBJECTIVE

The opioid epidemic has led to a surge in diagnoses of neonatal opioid withdrawal syndrome (NOWS). Many states track the incidence of NOWS by using the P96.1 International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) code for "neonatal withdrawal symptoms from maternal use of drugs of addiction." In October 2018, an ICD-10-CM code for neonatal opioid exposure (P04.14) was introduced. This code can be used when an infant is exposed to opioids in utero but does not have clinically significant withdrawal symptoms. We analyzed the effect of the P04.14 code on the incidence rate of NOWS (P96.1) and "other" neonatal drug exposure diagnoses (P04.49).

METHODS

We used private health insurance data collected for infants in the United States from the first quarter of 2016 through the third quarter of 2021 to describe incidence rates for each code over time and examine absolute and percentage changes before and after the introduction of code P04.14.

RESULTS

The exclusive use of code P96.1 declined from an incidence rate per 1000 births of 1.08 in 2016-2018 to 0.70 in 2019-2021, a -35.7% (95% CI, -47.6% to -23.8%) reduction. Use of code P04.49 only declined from an incidence rate of 2.34 in 2016-2018 to 1.64 in 2019-2021, a -30.0% (95% CI, -36.4% to -23.7%) reduction. Use of multiple codes during the course of treatment increased from an average incidence per 1000 births of 0.56 in 2016-2018 to 0.79 in 2019-2021, a 45.5% (95% CI, 24.8%-66.1%) increase.

CONCLUSION

The introduction of ICD-10-CM code P04.14 altered the use of other neonatal opioid exposure codes. The use of multiple codes increased, indicating that some ambiguity may exist about which ICD-10-CM code is most appropriate for a given set of symptoms.

Evaluation of Administrative Data for Identifying Maternal Opioid Use at Delivery in Florida

OBJECTIVES

Studies have shown significant increases in the prevalence of maternal opioid use. Most prevalence estimates are based on unverified ICD-10-CM diagnoses. This study determined the accuracy of ICD-10-CM opioid-related diagnosis codes documented during delivery and examined potential associations between maternal/hospital characteristics and diagnosis with an opioid-related code.

METHODS

To identify people with prenatal opioid use, we identified a sample of infants born during 2017-2018 in Florida with a NAS related diagnosis code (P96.1) and confirmatory NAS characteristics (N = 460). Delivery records were scanned for opioid-related diagnoses and prenatal opioid use was confirmed through record review. The accuracy of each opioid-related code was measured using positive predictive value (PPV) and sensitivity. Modified Poisson regression was used to calculate adjusted relative risks (aRR) and 95% confidence intervals (CI).

RESULTS

We found the PPV was nearly 100% for all ICD-10-CM opioid-related codes (98.5-100%) and the sensitivity was 65.9%. Non-Hispanic Black mothers were 1.8 times more likely than non-Hispanic white mothers to have a missed opioid-related diagnosis at delivery (aRR:1.80, CI 1.14-2.84). Mothers who delivered at a teaching status hospital were less likely to have a missed opioid-related diagnosis (p < 0.05).

CONCLUSIONS FOR PRACTICE

We observed high accuracy of maternal opioid-related diagnosis codes at delivery. However, our findings suggest that over 30% of mothers with opioid use may not be diagnosed with an opioid-related code at delivery, although their infant had a confirmed NAS diagnosis. This study provides information on the utility and accuracy of ICD-10-CM opioid-related codes at delivery among mothers of infants with NAS.

Association between pharmacologic treatment and hospital utilization at birth among neonatal opioid withdrawal syndrome mother-infant dyads

OBJECTIVE

We linked mother-baby dyads to explore associations between maternal medication-assisted therapy (MAT) and infants' pharmacologic treatment on birth hospital utilization for infants with NOWS.

METHODS

We extracted singleton infant and maternal delivery discharges from PHIS hospitals with large volumes of deliveries for 2016-2019. We matched newborns with NOWS to maternal delivery discharges by hospital, day of birth, mode of delivery, and ZIP code. We examined the association between maternal MAT, infants' pharmacologic treatment, and hospital utilization at birth.

RESULTS

We included N = 146 mother-baby dyads from six hospitals (74% match rate). Among matched dyads, 51% received maternal MAT, 60% pharmacotherapy (37% both). Infants treated non-pharmacologically and born to mothers receiving MAT had the shortest stays vs. infants without pharmacotherapy or MAT (RR = 0.29; 95% CI: 0.25-0.35).

CONCLUSIONS

These findings underscore the importance of adequate perinatal treatment for opioid use disorder to improve outcomes for mothers and infants with opioid exposure.

A Methodology to Create Mother-Baby Dyads Using Data From the Pediatric Health Information System

BACKGROUND AND OBJECTIVES

Linking newborn birth records with maternal delivery data is invaluable in perinatal research, though linkage is often challenging or impossible in the context of administrative data. Using data from the Pediatric Health Information System (PHIS), we describe a novel methodology to link maternal delivery data with newborn birth hospitalization records to form mother-baby dyads.

METHODS

We extracted singleton birth discharges and maternal delivery discharges between 2016 and 2020 from hospitals submitting large volumes of maternal delivery discharges and newborn deliveries into PHIS. Birth discharges at these PHIS hospitals included routine births and those requiring specialty care. Newborn discharges were matched to maternal discharges within hospital by date of birth, mode of delivery, and ZIP code.

RESULTS

We identified a matching maternal discharge for 92.1% of newborn discharges (n = 84 593/91 809). Within-hospital match rates ranged from 87.4% to 93.9%. Within the matched cohort, most newborns were normal birth weight (91.2%) and term (61.2%) or early term (27.4%). A total of 88.8% of newborns had birth stays less than 5 days and 14.2% were admitted to the NICU.

CONCLUSIONS

We demonstrate the feasibility of deterministically linking maternal deliveries to newborn discharges forming mother-baby dyads with a high degree of success using data from PHIS. The matched cohort may be used to study a variety of neonatal conditions that are likely to be affected by maternal demographic or clinical factors at delivery. Validation of this methodology is an important next step and area of future work.