Barriers to Buprenorphine Dispensing by Medicaid-Participating Community Retail Pharmacies.

Importance: Controlled substances have regulatory requirements under the US Federal Controlled Substance Act that must be met before pharmacies can stock and dispense them. However, emerging evidence suggests there are pharmacy-level barriers in access to buprenorphine for treatment for opioid use disorder even among pharmacies that dispense other opioids. Objective: To estimate the proportion of Medicaid-participating community retail pharmacies that dispense buprenorphine, out of Medicaid-participating community retail pharmacies that dispense other opioids and assess if the proportion dispensing buprenorphine varies by Medicaid patient volume or rural-urban location. Design, Setting, and Participants: This serial cross-sectional study included Medicaid pharmacy claims (2016-2019) data from 6 states (Kentucky, Maine, North Carolina, Pennsylvania, Virginia, West Virginia) participating in the Medicaid Outcomes Distributed Research Network (MODRN). Community retail pharmacies serving Medicaid-enrolled patients were included, mail-order pharmacies were excluded. Analyses were conducted from September 2022 to August 2023. Main Outcomes and Measures: The proportion of pharmacies dispensing buprenorphine approved for opioid use disorder among pharmacies dispensing an opioid analgesic or buprenorphine prescription to at least 1 Medicaid enrollee in each state. Pharmacies were categorized by median Medicaid patient volume (by state and year) and rurality (urban vs rural location according to zip code). Results: In 2016, 72.0% (95% CI, 70.9%-73.0%) of the 7038 pharmacies that dispensed opioids also dispensed buprenorphine to Medicaid enrollees, increasing to 80.4% (95% CI, 79.5%-81.3%) of 7437 pharmacies in 2019. States varied in the percent of pharmacies dispensing buprenorphine in Medicaid (range, 73.8%-96.4%), with significant differences between several states found in 2019 (χ2 P < .05), when states were most similar in the percent of pharmacies dispensing buprenorphine. A lower percent of pharmacies with Medicaid patient volume below the median dispensed buprenorphine (69.1% vs 91.7% in 2019), compared with pharmacies with above-median patient volume (χ2 P < .001). Conclusions and Relevance: In this serial cross-sectional study of Medicaid-participating pharmacies, buprenorphine was not accessible in up to 20% of community retail pharmacies, presenting pharmacy-level barriers to patients with Medicaid seeking buprenorphine treatment. That some pharmacies dispensed opioid analgesics but not buprenorphine suggests that factors other than compliance with the Controlled Substance Act influence pharmacy dispensing decisions.

Association between gestational diabetes and cardiovascular disease within 24 months postpartum.

BACKGROUND: Cardiovascular disease is the leading cause of death among women in the United States. It is well established that gestational diabetes mellitus is associated with an overall lifetime increased risk of cardiometabolic disease, even among those without intercurrent type 2 diabetes. However, the association between gestational diabetes mellitus and short-term risk of cardiovascular disease is unclear. Establishing short-term risks of cardiovascular disease for patients with gestational diabetes mellitus has significant potential to inform early screening and targeted intervention strategies to reduce premature cardiovascular morbidity among women. OBJECTIVE: This study aimed to compare the risk of cardiovascular disease diagnosis in the first 24 months postpartum between patients with and without gestational diabetes mellitus. STUDY DESIGN: Our longitudinal population-based study included pregnant individuals with deliveries from 2007 to 2019 in the Maine Health Data Organization's All Payer Claims Database. We excluded records with gestational age <20 weeks, non-Maine residence, multifetal gestation, no insurance in the month of delivery or the 3 months before pregnancy, an implausibly short interval until next pregnancy (<60 days), pregestational diabetes mellitus, and any prepregnancy diagnosis of the cardiovascular conditions being examined postpartum. Gestational diabetes mellitus and cardiovascular disease (heart failure, ischemic heart disease, arrhythmia/cardiac arrest, cardiomyopathy, cerebrovascular disease/stroke, and new chronic hypertension) were identified by International Classification of Diseases 9/10 diagnosis codes. Cox proportional hazards models were used to estimate hazard ratios, adjusting for potential confounding factors. We assessed whether the association between gestational diabetes mellitus and chronic hypertension was mediated by intercurrent diabetes mellitus. RESULTS: Among the 84,746 pregnancies examined, the cumulative risk of cardiovascular disease within 24 months postpartum for those with vs without gestational diabetes mellitus was 0.13% vs 0.20% for heart failure, 0.16% vs 0.14% for ischemic heart disease, 0.60% vs 0.44% for cerebrovascular disease/stroke, 0.22% vs 0.16% for arrhythmia/cardiac arrest, 0.20% vs 0.20% for cardiomyopathy, and 4.19% vs 1.83% for new chronic hypertension. After adjusting for potential confounders, those with gestational diabetes had an increased risk of new chronic hypertension (adjusted hazard ratio, 1.56; 95% confidence interval, 1.32-1.86) within the first 24 months postpartum compared with those without gestational diabetes. There was no association between gestational diabetes and ischemic heart disease (adjusted hazard ratio, 0.75; 95% confidence interval, 0.34-1.65), cerebrovascular disease/stroke (adjusted hazard ratio, 1.13; 95% confidence interval, 0.78-1.66), arrhythmia/cardiac arrest (adjusted hazard ratio, 1.16; 95% confidence interval, 0.59-2.29), or cardiomyopathy (adjusted hazard ratio, 0.75; 95% confidence interval, 0.40-1.41) within the first 24 months postpartum. Those with gestational diabetes appeared to have a decreased risk of heart failure within 24 months postpartum (adjusted hazard ratio, 0.45; 95% confidence interval, 0.21-0.98). Our mediation analyses estimated that 28% of the effect of gestational diabetes on new chronic hypertension was mediated through intercurrent diabetes mellitus. CONCLUSION: Patients with gestational diabetes mellitus have a significantly increased risk of new chronic hypertension as early as 24 months postpartum. Most of this effect was not due to the development of diabetes mellitus. Our findings suggest that all women with gestational diabetes need careful monitoring and screening for new chronic hypertension in the first 2 years postpartum.

Trends in maternal opioid use disorder and neonatal abstinence syndrome in Maine, 2016-2022.

OBJECTIVE: To estimate trends in maternal opioid use disorder (OUD) and neonatal abstinence syndrome (NAS) in Maine using the most recent data available. STUDY DESIGN: We used hospital discharge data to estimate the annual prevalence of maternal OUD and NAS between 2016 and 2022. In addition, we used birth certificate-linked Medicaid data to estimate related trends among Medicaid enrollees. RESULT: From 2016 to 2022, the prevalence of maternal OUD decreased from 35.3 to 18.8 per 1000 deliveries and the prevalence of NAS decreased from 33.2 to 14.0 per 1000 newborns (linear trend p values <0.01). Decreasing trends were also found among Medicaid enrollees. CONCLUSION: In Maine between 2016 and 2022, there was a decrease in maternal OUD and NAS diagnoses recorded in administrative datasets. These findings should be interpreted with caution due to changes in how OUD and NAS diagnoses are recorded and COVID-related changes in healthcare utilization.

Acute health care utilization in the first 24 months postpartum by rurality and pregnancy complications: A prospective cohort study.

OBJECTIVE: To estimate the rate of acute health care use (hospitalizations and emergency department [ED] visits) among postpartum persons by rurality of residence and pregnancy complications. DATA SOURCES AND STUDY SETTING: 2006-2021 data from the Maine Health Data Organization's All Payer Claims Data. STUDY DESIGN: We estimated the rates of hospitalizations and ED visits during the first 24 months postpartum, separately, overall and by four-level rurality of residence (urban, large rural, small rural, and isolated rural) and by pregnancy complications (prenatal depression, hypertensive disorders of pregnancy [HDP], and gestational diabetes mellitus [GDM]). We used Poisson regression models, adjusting for potential confounders. Data were weighted to account for censoring before 24 months postpartum. DATA EXTRACTION METHODS: Deliveries during 2007-2019 (n = 122,412). PRINCIPAL FINDINGS: Approximately 4% of persons had at least one hospitalization within 24 months postpartum (mean monthly rate per 100 deliveries = 0.35). Adjusted rates were not different by rurality. Persons with prenatal depression (adjusted rate ratio [aRR] = 1.9; 95% confidence interval [CI] 1.5-2.5), HDP (aRR = 1.4; 1.0-2.0), and GDM (aRR = 1.4; 0.9-2.0) had higher hospitalization rates than those without these conditions. Approximately 44% of persons had at least one ED visit within 24 months postpartum (mean monthly rate per 100 deliveries = 5.4). Adjusted ED rates were higher for persons living in small rural areas as compared with urban areas (aRR = 1.3; 1.2-1.4). Persons with prenatal depression (aRR = 1.8; 1.7-1.9), HDP (aRR = 1.1; 1.0-1.2), and GDM (aRR = 1.3; 1.2-1.4) had higher ED rates than those without these conditions; ED rates were highest among those living in small rural areas. CONCLUSION: New policies and care practices may be needed to prevent acute health care encounters in the first 24 months after delivery for persons with common pregnancy conditions. Efforts to identify why postpartum people living in small rural areas have higher rates of ED visits are warranted.

Excess deaths associated with COVID-19 by rurality and demographic factors in the United States.

PURPOSE: To estimate percent excess deaths during the COVID-19 pandemic by rural-urban residence in the United States and to describe rural-urban disparities by age, sex, and race/ethnicity. METHODS: Using US mortality data, we used overdispersed Poisson regression models to estimate monthly expected death counts by rurality of residence, age group, sex, and race/ethnicity, and compared expected death counts with observed deaths. We then summarized excess deaths over 6 6-month time periods. FINDINGS: There were 16.9% (95% confidence interval [CI]: 16.8, 17.0) more deaths than expected between March 2020 and February 2023. The percent excess varied by rurality (large central metro: 18.2% [18.1, 18.4], large fringe metro: 15.6% [15.5, 15.8], medium metro: 18.1% [18.0, 18.3], small metro: 15.5% [15.3, 15.7], micropolitan rural: 16.3% [16.1, 16.5], and noncore rural: 15.8% [15.6, 16.1]). The percent excess deaths were 20.2% (20.1, 20.3) for males and 13.6% (13.5, 13.7) for females, and highest for Hispanic persons (49% [49.0, 49.6]), followed by non-Hispanic Black persons (28% [27.5, 27.9]) and non-Hispanic White persons (12% [11.6, 11.8]). The 6-month time periods with the highest percent excess deaths for large central metro areas were March 2020-August 2020 and September 2020-February 2021; for all other areas, these time periods were September 2020-February 2021 and September 2021-February 2022. CONCLUSION: Percent excess deaths varied by rurality, age group, sex, race/ethnicity, and time period. Monitoring excess deaths by rurality may be useful in assessing the impact of the pandemic over time, as rural-urban patterns appear to differ.

Trends in Use of Medication to Treat Opioid Use Disorder During the COVID-19 Pandemic in 10 State Medicaid Programs.

Importance: Federal and state agencies granted temporary regulatory waivers to prevent disruptions in access to medication for opioid use disorder (MOUD) during the COVID-19 pandemic, including expanding access to telehealth for MOUD. Little is known about changes in MOUD receipt and initiation among Medicaid enrollees during the pandemic. Objectives: To examine changes in receipt of any MOUD, initiation of MOUD (in-person vs telehealth), and the proportion of days covered (PDC) with MOUD after initiation from before to after declaration of the COVID-19 public health emergency (PHE). Design, Setting, and Participants: This serial cross-sectional study included Medicaid enrollees aged 18 to 64 years in 10 states from May 2019 through December 2020. Analyses were conducted from January through March 2022. Exposures: Ten months before the COVID-19 PHE (May 2019 through February 2020) vs 10 months after the PHE was declared (March through December 2020). Main Outcomes and Measures: Primary outcomes included receipt of any MOUD and outpatient initiation of MOUD via prescriptions and office- or facility-based administrations. Secondary outcomes included in-person vs telehealth MOUD initiation and PDC with MOUD after initiation. Results: Among a total of 8 167 497 Medicaid enrollees before the PHE and 8 181 144 after the PHE, 58.6% were female in both periods and most enrollees were aged 21 to 34 years (40.1% before the PHE; 40.7% after the PHE). Monthly rates of MOUD initiation, representing 7% to 10% of all MOUD receipt, decreased immediately after the PHE primarily due to reductions in in-person initiations (from 231.3 per 100 000 enrollees in March 2020 to 171.8 per 100 000 enrollees in April 2020) that were partially offset by increases in telehealth initiations (from 5.6 per 100 000 enrollees in March 2020 to 21.1 per 100 000 enrollees in April 2020). Mean monthly PDC with MOUD in the 90 days after initiation decreased after the PHE (from 64.5% in March 2020 to 59.5% in September 2020). In adjusted analyses, there was no immediate change (odds ratio [OR], 1.01; 95% CI, 1.00-1.01) or change in the trend (OR, 1.00; 95% CI, 1.00-1.01) in the likelihood of receipt of any MOUD after the PHE compared with before the PHE. There was an immediate decrease in the likelihood of outpatient MOUD initiation (OR, 0.90; 95% CI, 0.85-0.96) and no change in the trend in the likelihood of outpatient MOUD initiation (OR, 0.99; 95% CI, 0.98-1.00) after the PHE compared with before the PHE. Conclusions and Relevance: In this cross-sectional study of Medicaid enrollees, the likelihood of receipt of any MOUD was stable from May 2019 through December 2020 despite concerns about potential COVID-19 pandemic-related disruptions in care. However, immediately after the PHE was declared, there was a reduction in overall MOUD initiations, including a reduction in in-person MOUD initiations that was only partially offset by increased use of telehealth.

Mental Health Within 24 Months After Delivery Among Women with Common Pregnancy Conditions.

Objective: The aim of this study is to estimate the risk of a new mental health diagnosis within the first 24 months postpartum among women with common pregnancy conditions, overall and by rurality. Materials and Methods: This longitudinal population-based study used the Maine Health Data Organization's All-Payer Claims Data to estimate the cumulative risk of a new mental health disorder diagnosis in the first 24 months postpartum among women with deliveries during 2007-2019 and who did not have a mental health diagnosis before pregnancy. Cox models were used to estimate hazard ratios for common pregnancy conditions (prenatal depression, gestational diabetes [GDM], and hypertensive disorders of pregnancy [HDP]) on the new diagnosis of five mental health conditions, separately. Models were adjusted for maternal demographics and pregnancy characteristics. Results: Of the 123,125 deliveries, the cumulative risk of being diagnosed in the first 24 months postpartum with depression was 28%, anxiety 25%, bipolar disorder 3%, post-traumatic stress disorder 6%, and schizophrenia/psychotic disorder 1%. Women with prenatal depression were at higher risk of having a postpartum mental health diagnosis compared with women without prenatal depression (adjusted hazard ratios [aHRs] ranged from 2.5 [for anxiety] to 4.1 [for postpartum depression]). Risk of having postpartum depression was modestly higher among women with HDP, as was the risk of postpartum bipolar disorder among those with GDM. Findings were generally similar between women living in rural versus urban areas. Conclusions: Effective interventions to prevent, screen, and treat mental health conditions among women with pregnancy complications for an extended time postpartum are warranted.

Provision of Postpartum Contraception Before and After the Start of the COVID-19 Pandemic in Maine.

OBJECTIVE: Preliminary findings from selected health systems revealed interruptions in reproductive health care services due to the COVID-19 pandemic. We estimated changes in postpartum contraceptive provision associated with the start of the COVID-19 pandemic in Maine. METHODS: We used the Maine Health Data Organization's All Payer Claims Database for deliveries from October 2015 through March 2021 (n = 45 916). Using an interrupted time-series analysis design, we estimated changes in provision rates of long-acting reversible contraception (LARC), permanent contraception, and moderately effective contraception within 3 and 60 days of delivery after the start of the COVID-19 pandemic. We performed 6- and 12-month analyses (April 2020-September 2020, April 2020-March 2021) as compared with the reference period (October 2015-March 2020). We used Poisson regression models to calculate level-change rate ratios (RRs) and 95% CIs. RESULTS: The 6-month analysis found that provision of LARC (RR = 1.89; 95% CI, 1.76-2.02) and moderately effective contraception (RR = 1.51; 95% CI, 1.33-1.72) within 3 days of delivery increased at the start of the COVID-19 pandemic, while provision of LARC (RR = 0.95; 95% CI, 0.93-0.97) and moderately effective contraception (RR = 1.08; 95% CI, 1.05-1.11) within 60 days of delivery was stable. Rates of provision of permanent contraception within 3 days (RR = 0.70; 95% CI, 0.63-0.78) and 60 days (RR = 0.71; 95% CI, 0.63-0.80) decreased. RRs from the 12-month analysis were generally attenuated. CONCLUSION: Disruptions in postpartum provision of permanent contraception occurred at the beginning of the COVID-19 pandemic in Maine. Public health policies should include guidance for contraceptive provision during public health emergencies and consider designating permanent contraception as a nonelective procedure.

The most common medications dispensed to lactating persons: An electronic health record-based approach.

PURPOSE: Using a novel, electronic health record (EHR)-based approach, to estimate the prevalence of prescription medication use at 2, 4, and 6 months postpartum among lactating individuals. METHODS: We utilized automated EHR data from a US health system that records infant feeding information at well-child visits. We linked mothers who received prenatal care to their infants born May 2018-June 2019, and we required infants to have ≥1 well-child visit between 31 and 90 days of life (i.e., 2-month well-child visit with a ±1 month window). Mothers were classified as lactating at the 2-month well-child visit if their infant received breast milk at the 2-month well-child visit. For subsequent well-child visits at 4 and 6 months, mothers were considered lactating if their infant was still receiving breast milk. RESULTS: We identified 6013 mothers meeting inclusion criteria, and 4158 (69.2%) were classified as lactating at the 2-month well-child visit. Among those classified as lactating, the most common medication classes dispensed around the 2-month well-child visit were oral progestin contraceptives (19.1%), selective serotonin reuptake inhibitors (8.8%), first generation cephalosporins (4.3%), thyroid hormones (3.5%), nonsteroidal anti-inflammatory agents (3.4%), penicillinase-resistant penicillins (3.1%), topical corticosteroids (2.9%), and oral imidazole-related antifungals (2.0%). The most common medication classes were similar around the 4 and 6-month well-child visits although prevalence estimates were often lower. CONCLUSIONS: Progestin-only contraceptives, antidepressants, and antibiotics were the most dispensed medications among lactating mothers. With routine collection of breastfeeding information, mother-infant linked EHR data may overcome limitations in previous studies of medication utilization during lactation. These data should be considered for studies of medication safety during lactation given the need for human safety data.

Association of Prenatal Depression With New Cardiovascular Disease Within 24 Months Postpartum.

Background Although depression is well established as an independent risk factor for cardiovascular disease (CVD) in the nonpregnant population, this association has largely not been investigated in pregnant populations. We aimed to estimate the cumulative risk of new CVD in the first 24 months postpartum among pregnant individuals diagnosed with prenatal depression compared with patients without depression diagnosed during pregnancy. Methods and Results Our longitudinal population-based study included pregnant individuals with deliveries during 2007 to 2019 in the Maine Health Data Organization's All Payer Claims Data. We excluded those with prepregnancy CVD, multifetal gestations, or no continuous health insurance during pregnancy. Prenatal depression and CVD (heart failure, ischemic heart disease, arrhythmia/cardiac arrest, cardiomyopathy, cerebrovascular disease, and chronic hypertension) were identified by International Classification of Diseases, Ninth Revision (ICD-9)/International Classification of Diseases, Tenth Revision (ICD-10) codes. Cox models were used to estimate hazard ratios (HRs), adjusting for potential confounding factors. Analyses were stratified by hypertensive disorder of pregnancy. A total of 119 422 pregnancies were examined. Pregnant individuals with prenatal depression had an increased risk of ischemic heart disease, arrhythmia/cardiac arrest, cardiomyopathy, and new hypertension (adjusted HR [aHR], 1.83 [95% CI, 1.20-2.80], aHR, 1.60 [95% CI, 1.10-2.31], aHR, 1.61 [95% CI, 1.15-2.24], and aHR, 1.32 [95% CI, 1.17-1.50], respectively). When the analyses were stratified by co-occurring hypertensive disorders of pregnancy, several of these associations persisted. Conclusions The cumulative risk of a new CVD diagnosis postpartum was elevated among individuals with prenatal depression and persists even in the absence of co-occurring hypertensive disorders of pregnancy. Further research to determine the causal pathway can inform postpartum CVD preventive measures.

Association between hypertensive disorders of pregnancy and cardiovascular diseases within 24 months after delivery.

BACKGROUND: Despite the well-known association between hypertensive disorders of pregnancy and cardiovascular diseases, there are limited data on which specific cardiovascular diagnoses have the greatest risk profiles during the first 24 months after delivery. Most existing data on hypertensive disorders of pregnancy and short-term cardiovascular disease risks are limited to the immediate postpartum period; however, it is crucial to determine cardiovascular disease risk up to 24 months after delivery to inform cardiovascular disease screening protocols during the extended postpartum period. OBJECTIVE: This study aimed to delineate the risk of cardiovascular diagnoses in the first 24 months after delivery among patients with hypertensive disorders of pregnancy compared with patients without hypertensive disorders of pregnancy. STUDY DESIGN: This longitudinal population-based study included pregnant individuals with deliveries during 2007 to 2019 in the Maine Health Data Organization's All Payer Claims Data. This study excluded patients with preexisting cardiovascular disease, with multifetal pregnancies, or without continuous insurance during pregnancy. Hypertensive disorders of pregnancy and cardiovascular diseases (categorized by specific conditions: heart failure, ischemic heart disease, arrhythmia or cardiac arrest, cardiomyopathy, cerebrovascular disease or stroke, and new chronic hypertension) were identified using International Classification of Diseases, Ninth Revision, and International Classification of Diseases, Tenth Revision, diagnosis codes. Cox proportional hazards models were used to estimate hazard ratios, adjusting for potential confounding factors. RESULTS: Of the 119,422 pregnancies examined, the cumulative risk of cardiovascular disease within 24 months after delivery for those with hypertensive disorders of pregnancy vs those without hypertensive disorders of pregnancy was 0.6% vs 0.2% for heart failure, 0.3% vs 0.1% for ischemic heart disease, 0.2% vs 0.2% for arrhythmia or cardiac arrest, 0.6% vs 0.2% for cardiomyopathy, 0.8% vs 0.4% for cerebrovascular disease or stroke, 1.6% vs 0.7% for severe cardiac disease (composite outcome of heart failure, cerebrovascular disease or stroke, or cardiomyopathy), and 9.7% vs 1.5% for new chronic hypertension. After adjustment for potential confounders, those with hypertensive disorders of pregnancy had an increased risk of heart failure, cerebrovascular disease, cardiomyopathy, and severe cardiac disease within the first 24 months after delivery (adjusted hazard ratio, 2.81 [95% confidence interval, 1.90-4.15], 1.43 [95% confidence interval, 1.07-1.91], 2.90 [95% confidence interval, 1.96-4.27], and 1.90 [95% confidence interval, 1.54-2.30], respectively) compared with those without hypertensive disorders of pregnancy. In addition, those with hypertensive disorders of pregnancy had an increased risk for new chronic hypertension diagnosed after 42 days after delivery (adjusted hazard ratio, 7.29; 95% confidence interval, 6.57-8.09). There was no association between hypertensive disorders of pregnancy and ischemic heart disease (adjusted hazard ratio, 0.92; 95% confidence interval, 0.55-1.54) or cardiac arrest or arrhythmia (adjusted hazard ratio, 0.90; 95% confidence interval, 0.52-1.57). In addition, among women with hypertensive disorders of pregnancy, the highest proportion of first cardiovascular disease diagnoses occurred during the first month after delivery for cardiomyopathy (44%), heart failure (39%), cerebrovascular disease or stroke (39%), and severe cardiac disease (41%). CONCLUSION: Patients with hypertensive disorders of pregnancy had an increased risk of developing new chronic hypertension, heart failure, cerebrovascular disease, and cardiomyopathy within 24 months after delivery. There was no association between hypertensive disorders of pregnancy and ischemic heart disease or cardiac arrest or arrhythmia. Patients with hypertensive disorders of pregnancy need targeted early postpartum interventions and increased monitoring in the first 24 months after delivery. This may preserve long-term health and improve maternal and neonatal outcomes in a subsequent pregnancy.

Duration of medication for opioid use disorder during pregnancy and postpartum by race/ethnicity: Results from 6 state Medicaid programs.

BACKGROUND: Medication for opioid use disorder (MOUD) is evidence-based treatment during pregnancy and postpartum. Prior studies show racial/ethnic differences in receipt of MOUD during pregnancy. Fewer studies have examined racial/ethnic differences in MOUD receipt and duration during the first year postpartum and in the type of MOUD received during pregnancy and postpartum. METHODS: We used Medicaid administrative data from 6 states to compare the percentage of women with any MOUD and the average proportion of days covered (PDC) with MOUD, overall and by type of MOUD, during pregnancy and four postpartum periods (1-90 days, 91-180 days, 181-270 days, and 271-360 days postpartum) among White non-Hispanic, Black non-Hispanic, and Hispanic women diagnosed with OUD. RESULTS: White non-Hispanic women were more likely to receive any MOUD during pregnancy and all postpartum periods compared to Hispanic and Black non-Hispanic women. For all MOUD types combined and for buprenorphine, White non-Hispanic women had the highest average PDC during pregnancy and each postpartum period, followed by Hispanic women and Black non-Hispanic women (e.g., for all MOUD types, 0.49 vs. 0.41 vs. 0.23 PDC, respectively, during days 1-90 postpartum). For methadone, White non-Hispanic and Hispanic women had similar average PDC during pregnancy and postpartum, and Black non-Hispanic women had substantially lower PDC. CONCLUSIONS: There are stark racial/ethnic differences in MOUD during pregnancy and the first year postpartum. Reducing these inequities is critical to improving health outcomes among pregnant and postpartum women with OUD.

Weight gain patterns among pregnancies with obesity and small- and large-for-gestational-age births.

OBJECTIVE: This case-cohort study estimated associations between gestational weight gain (GWG) and small-for-gestational-age (SGA) and large-for-gestational-age (LGA) births stratified by obesity class (I: 30-34.9 kg/m2 ; II: 35-39.9 kg/m2 ; III: ≥40 kg/m2 ) (Magee-Womens Hospital, Pittsburgh, Pennsylvania, 1998-2011). METHODS: First-trimester GWG was categorized as being below (<0.2 kg), within (0.2-2.0 kg), or above (>2.0 kg) the Institute of Medicine recommendations. For second- and third-trimester GWG, four linear trajectories were derived: approximating maintenance (slope -0.05 ± 0.03 kg/wk), approximating the recommendations (0.27 ± 0.01 kg/wk; reference), higher than the recommendations (0.54 ± 0.01 kg/wk), and highest among those above the recommendations (0.91 ± 0.02 kg/wk). RESULTS: For classes I, II, and III, respectively, there were 1290, 1247, and 1198 pregnancies in the subcohort; 262, 171, and 123 SGA cases; and 353, 286, and 257 LGA cases. First-trimester GWG was not associated with SGA/LGA births. Second- and third-trimester weight maintenance was associated with potentially lower LGA risk (risk ratio [RR]: 0.80; 95% confidence interval [CI]: 0.55-1.1) but not higher SGA risk (RR: 0.98; 95% CI: 0.64-1.5) for class III. In addition, some sensitivity analyses supported no increased SGA risk with second- and third-trimester weight maintenance for classes I and II. CONCLUSIONS: Second- and third-trimester weight maintenance may be associated with more optimal birth weight for gestational age. However, how this could be achieved (e.g., through diet and exercise interventions) is unclear, given the observational design of our study.

Rural-urban residence and sequelae of hypertensive disorders of pregnancy in the first year postpartum, 2007 - 2019.

OBJECTIVES: To estimate the association between rural residence and sequelae of hypertensive disorders of pregnancy (HDP) in the first year postpartum. STUDY DESIGN: We used the Maine Health Data Organization's All Payer Claims Data to identify women with HDP who delivered during 2007-2019 and did not have chronic hypertension or pre-pregnancy cardiac conditions (n = 8882). We used Cox proportional hazards modeling to estimate rural-urban hazard ratios (HR) and 95% confidence intervals (CI), adjusting for HDP subtype, age, insurance, nulliparity, and co-morbidities. Results were stratified by HDP subtype and timing of acute care visits. MAIN OUTCOME MEASURES: Risk of at least one emergency room or inpatient visit related to hypertension or cardiovascular conditions in the first year postpartum and receipt of outpatient antihypertensive medications from 4 days to 1 year postpartum, separately. RESULTS: Overall, risk of at least one acute care visit in the first year postpartum was not different between rural vs urban women (4.2% vs 4.2%; adjusted HR 0.98; 95% CI 0.79,1.21), and outpatient receipt of antihypertensive medication was not different (12.9% vs 12.8%; adjusted HR 0.99; 95% CI 0.87, 1.12). However, stratified analyses suggested some differences (e.g. preeclampsia with severe features: acute care visit adjusted HR 1.54; 95% CI 0.95, 2.49). CONCLUSIONS: Rural and urban women do not differ in the risks of these common HDP sequelae, though rural women may have increased risk by HDP subtype or timing of acute care visit. Future research should investigate postpartum interventions for reducing HDP sequelae in rural and urban women.

Machine learning-based placental clusters and their associations with adverse pregnancy outcomes.

BACKGROUND: Placental abnormalities have been described in clinical convenience samples, with predominately adverse outcomes. Few studies have described placental patterns in unselected samples. OBJECTIVE: We aimed to investigate associations between co-occurring placental features and adverse pregnancy outcomes in a prospective cohort of singletons. METHODS: Data were from the Safe Passage study (U.S. and South Africa, 2007-2015). Before 24 weeks' gestation, participants were randomly invited to donate placental tissue at delivery for blinded, standardised pathological examination. We used hierarchical clustering to construct statistically derived groups using 60 placental features. We estimated associations between the placental clusters and select adverse pregnancy outcomes, expressed as unadjusted and adjusted risk ratios (RRs) and robust 95% confidence intervals (CI). RESULTS: We selected a 7-cluster model. After collapsing 2 clusters to form the reference group, we labelled the resulting 6 analytic clusters according to the overarching category of their most predominant feature(s): severe maternal vascular malperfusion (n = 117), fetal vascular malperfusion (n = 222), other vascular malperfusion (n = 516), inflammation 1 (n = 269), inflammation 2 (n = 175), and normal (n = 706). Risks for all outcomes were elevated in the severe maternal vascular malperfusion cluster. For instance, in unadjusted analyses, this cluster had 12 times the risk of stillbirth (RR 12.07, 95% CI 4.20, 34.68) and an almost doubling in the risk of preterm delivery (RR 1.93, 95% CI 1.27, 2.93) compared with the normal cluster. Small infant size was more common among the abnormal clusters, with the highest unadjusted RRs observed in the fetal vascular malperfusion cluster (small for gestational age birth RR 2.99, 95% CI 2.24, 3.98, head circumference <10th percentile RR 2.86, 95% CI 1.60, 5.12). Upon adjustment for known risk factors, most RRs attenuated but remained >1. CONCLUSION: Our study adds to the growing body of epidemiologic research, finding adverse pregnancy outcomes may occur through etiologic mechanisms involving co-occurring placental abnormalities.

Maternal hepatitis C prevalence and trends by county, US: 2016-2020.

BACKGROUND: Trends in the prevalence of hepatitis C virus (HCV) infection among women delivering live births may differ in rural vs. urban areas of the United States, but estimation of trends based on observed counts may lead to unstable estimates in rural counties due to small numbers. OBJECTIVES: The objective of the study was to use small area estimation methods to provide updated county-level prevalence estimates and, for the first time, trends in maternal HCV infection among live births by county-level rurality. METHODS: Cross-sectional natality data from 2016 to 2020 were used to estimate maternal hepatitis C prevalence using hierarchical Bayesian models with spatiotemporal random effects to produce annual county-level estimates of maternal HCV infection and trends over time. Models included a 6-level rural-urban county classification, year, maternal characteristics and county-specific covariates. Data were analysed in 2022. RESULTS: There were 90,764/18,905,314 live births (4.8 per 1000) with HCV infection reported on the birth certificate. Hepatitis C prevalence was higher among rural counties as compared to urban counties. Rural counties had the largest annual increases in maternal hepatitis C prevalence (per 1000 births) from 2016 to 2020 (micropolitan: 0.39; noncore: 0.40), with smaller increases among less densely populated urban counties (medium metro: 0.28; small metro: 0.28) and urban counties (large central metro:0.11; large fringe metro: 0.14). CONCLUSIONS: The prevalence of maternal HCV infection was the highest in rural counties, and rural counties saw the greatest average prevalence increase during 2016-2020. County-level data can help in monitoring rural-urban trends in maternal HCV infection to reduce geographic disparities.

Design, Implementation, and Evolution of the Medicaid Outcomes Distributed Research Network (MODRN).

BACKGROUND: In the US, Medicaid covers over 80 million Americans. Comparing access, quality, and costs across Medicaid programs can provide policymakers with much-needed information. As each Medicaid agency collects its member data, multiple barriers prevent sharing Medicaid data between states. To address this gap, the Medicaid Outcomes Distributed Research Network (MODRN) developed a research network of states to conduct rapid multi-state analyses without sharing individual-level data across states. OBJECTIVE: To describe goals, design, implementation, and evolution of MODRN to inform other research networks. METHODS: MODRN implemented a distributed research network using a common data model, with each state analyzing its own data; developed standardized measure specifications and statistical software code to conduct analyses; and disseminated findings to state and federal Medicaid policymakers. Based on feedback on Medicaid agency priorities, MODRN first sought to inform Medicaid policy to improve opioid use disorder treatment, particularly medication treatment. RESULTS: Since its 2017 inception, MODRN created 21 opioid use disorder quality measures in 13 states. MODRN modified its common data model over time to include additional elements. Initial barriers included harmonizing utilization data from Medicaid billing codes across states and adapting statistical methods to combine state-level results. The network demonstrated its utility and addressed barriers to conducting multi-state analyses of Medicaid administrative data. CONCLUSIONS: MODRN created a new, scalable, successful model for conducting policy research while complying with federal and state regulations to protect beneficiary health information. Platforms like MODRN may prove useful for emerging health challenges to facilitate evidence-based policymaking in Medicaid programs.

Serum PFAS and Urinary Phthalate Biomarker Concentrations and Bone Mineral Density in 12-19 Year Olds: 2011-2016 NHANES.

CONTEXT: Per- and polyfluoroalkyl substances (PFAS) and phthalates are 2 families of environmental endocrine disruptors that may be associated with areal lower bone mineral density (aBMD). OBJECTIVE: To examine associations between serum PFAS and urinary phthalate biomarker concentrations and their mixtures with aBMD Z-scores in adolescents. DESIGN, PATIENTS, AND MEASURES: We examined serial cross-sectional data from male (n = 453) and female (n = 395) 12- to 19-year-old participants in the 2011 through 2016 National Health and Nutrition Examination Survey with measures of serum PFAS, urinary phthalate metabolites, and dual-energy X-ray absorptiometry aBMD Z-scores (total body less head). In sex-specific models, we used linear regression to examine associations of individual PFAS and phthalate biomarkers with aBMD Z-scores, and Bayesian kernel machine regression to examine the association of the overall PFAS/phthalate biomarker mixture with aBMD Z-scores. We replicated the analysis, stratifying by race/ethnicity. RESULTS: Participants were (mean ±â€…SD) 15 ±â€…2.1 years of age. In males, each doubling of serum perfluorooctanoate (PFOA), perfluorooctane sulfonate, urinary mono-isobutyl phthalate (MiBP), mono-n-butyl phthalate, and the overall PFAS/phthalate mixture was associated with a lower aBMD Z-score (eg, for PFOA: -0.24; 95% CI, -0.41 to -0.06). Serum PFOA and urinary MiBP were associated with higher aBMD Z-scores in females (eg, for PFOA: 0.09; 95% CI, -0.07 to 0.25). Findings did not differ by race/ethnicity. CONCLUSIONS: Certain PFAS and phthalates may be associated with reduced bone mineral density in adolescent males. Bone mineral density tracks across the life course, so if replicated in longitudinal cohorts, this finding may have implications for lifelong skeletal health.