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OBJECTIVE(S): To understand how contraception method use differed between women prescribed and not prescribed medications for opioid use disorder (MOUD) among commercially-insured and Medicaid insured women. STUDY DESIGN: IBM Watson Health MarketScan Commercial Claims and Encounters database and the Multi-State Medicaid database were used to calculate the (1) crude prevalence, and (2) adjusted odds ratios (adjusted for demographic characteristics) of using long-acting reversible or short-acting hormonal contraception methods or female sterilization compared with none of these methods (no method) in 2018 by MOUD status among women with OUD, aged 20 to 49 years, with continuous health insurance coverage through commercial insurance or Medicaid for ≥6 years. Claims data was used to define contraception use. Fisher exact test or χ(2) test with a P-value ≤ 0.0001, based on the Holm-Bonferroni method, and 95% confidence intervals were used to determine statistically significant differences for prevalence estimates and adjusted odds ratios, respectively. RESULTS: Only 41% of commercially-insured and Medicaid-insured women with OUD were prescribed MOUD. Medicaid-insured women with OUD prescribed MOUD had a significantly lower crude prevalence of using no method (71.1% vs 79.0%) and higher odds of using female sterilization (aOR, 1.33; 95% CI: 1.06–1.67 vs no method) than those not prescribed MOUD. Among commercially-insured women there were no differences in contraceptive use by MOUD status and 66% used no method. CONCLUSIONS: Among women with ≥ 6 years of continuous insurance coverage, contraceptive use differed by MOUD status and insurance. Prescribing MOUD for women with OUD can be improved to ensure quality care. IMPLICATIONS: : Only two in five women with OUD had evidence of being prescribed MOUD, and majority did not use prescription contraception or female sterilization. Our findings support opportunities to improve prescribing for MOUD and integrate contraception and MOUD services to improve clinical care among women with OUD.

OBJECTIVE Although the US infant mortality rate reached a record low in 2020, the sudden infant death syndrome (SIDS) rate increased from 2019. To understand if the increase was related to changing death certification practices or the coronavirus disease 2019 (COVID-19) pandemic, we examined sudden unexpected infant death (SUID) rates as a group, by cause, and by race and ethnicity. METHODS We estimated SUID rates during 2015 to 2020 using US period-linked birth and death data. SUID included SIDS, unknown cause, and accidental suffocation and strangulation in bed. We examined changes in rates from 2019 to 2020 and assessed linear trends during prepandemic (2015–2019) using weighted least squares regression. We also assessed race and ethnicity trends and quantified COVID-19–related SUID. RESULTS Although the SIDS rate increased significantly from 2019 to 2020 (P < .001), the overall SUID rate did not (P = .24). The increased SIDS rate followed a declining linear trend in SIDS during 2015 to 2019 (P < .001). Other SUID causes did not change significantly. Our race and ethnicity analysis showed SUID rates increased significantly for non-Hispanic Black infants from 2019 to 2020, widening the disparities between these two groups during 2017 to 2019. In 2020, CONCLUSIONS Diagnositic shifting likely explained the increased SIDS rate in 2020. Why the SUID rate increased for non-Hispanic Black infants is unknown, but warrants continued monitoring. Interventions are needed to address persistent racial and ethnic disparities in SUID.

Background The goal of risk-appropriate maternal care is for high-risk pregnant women to receive specialized obstetrical services in facilities equipped with capabilities and staffing to provide care or transfer to facilities with resources available to provide care. In the United States, geographic access to critical care obstetrics varies. It is unknown whether this variation in proximity to critical care obstetrics differs by race, ethnicity, and region. Objective We examined the geographic access, defined as residence within 50 miles of a facility capable of providing risk-appropriate critical care obstetrics services for women of reproductive age, by distribution of race and ethnicity. Study Design Descriptive spatial analysis was used to assess geographic distance to critical care obstetrics for women of reproductive age by race and ethnicity. Data were analyzed geographically: nationally, by the Department of Health and Human Services regions, and by all 50 states and the District of Columbia. Dot density analysis was used to visualize geographic distributions of women by residence and critical care obstetrics facilities across the United States. Proximity analysis defined the proportion of women living within an approximate 50-mile radius of facilities. Source data included the 2015 American Community Survey from the United States Census Bureau and the 2015 American Hospital Association Annual Survey. Results Geographic access to critical care obstetrics was the greatest for Asian and Pacific Islander women of reproductive age (95.8%), followed by black (93.5%), Hispanic (91.4%), and white women of reproductive age (89.1%). American Indian and Alaska Native women had more limited geographic access (66%) in all regions. Visualization of proximity to critical care obstetrics indicated that facilities were predominantly located in urban areas, which may limit access to women in frontier or rural areas of states including nationally recognized reservations where larger proportions of white women and American Indian and Alaska Native women reside, respectively. Conclusion Disparities in proximity to critical care obstetrics exist in rural and frontier areas of the United States, which affect white women and American Indian and Alaska Native women, primarily. Examining insurance coverage, interstate hospital referral networks, and transportation barriers may provide further insight into critical care obstetrics accessibility. Further exploring the role of other equity-based measures of access on disparities beyond geography is warranted.