Study protocol: a mixed-methods study of the implementation of doula care to address racial health equity in six state Medicaid programs.

BACKGROUND: Racial inequities in severe maternal morbidity (SMM) and mortality constitute a public health crisis in the United States. Doula care, defined as care from birth workers who provide culturally appropriate, non-clinical support during pregnancy and postpartum, has been proposed as an intervention to help disrupt obstetric racism as a driver of adverse pregnancy outcomes in Black and other birthing persons of colour. Many state Medicaid programs are implementing doula programs to address the continued increase in SMM and mortality. Medicaid programs are poised to play a major role in addressing the needs of these populations with the goal of closing the racial gaps in SMM and mortality. This study will investigate the most effective ways that Medicaid programs can implement doula care to improve racial health equity. METHODS: We describe the protocol for a mixed-methods study to understand how variation in implementation of doula programs in Medicaid may affect racial equity in pregnancy and postpartum health. Primary study outcomes include SMM, person-reported measures of respectful obstetric care, and receipt of evidence-based care for chronic conditions that are the primary causes of postpartum mortality (cardiovascular, mental health, and substance use conditions). Our research team includes doulas, university-based investigators, and Medicaid participants from six sites (Kentucky, Maryland, Michigan, Pennsylvania, South Carolina and Virginia) in the Medicaid Outcomes Distributed Research Network (MODRN). Study data will include policy analysis of doula program implementation, longitudinal data from a cohort of doulas, cross-sectional data from Medicaid beneficiaries, and Medicaid healthcare administrative data. Qualitative analysis will examine doula and beneficiary experiences with healthcare systems and Medicaid policies. Quantitative analyses (stratified by race groups) will use matching techniques to estimate the impact of using doula care on postpartum health outcomes, and will use time-series analyses to estimate the average treatment effect of doula programs on population postpartum health outcomes. DISCUSSION: Findings will facilitate learning opportunities among Medicaid programs, doulas and Medicaid beneficiaries. Ultimately, we seek to understand the implementation and integration of doula care programs into Medicaid and how these processes may affect racial health equity. Study registration The study is registered with the Open Science Foundation ( https://doi.org/10.17605/OSF.IO/NXZUF ).

Prevalence of Testing for Human Immunodeficiency Virus, Hepatitis B Virus, and Hepatitis C Virus Among Medicaid Enrollees Treated With Medications for Opioid Use Disorder in 11 States, 2016-2019.

BACKGROUND: Limited information exists about testing for human immunodeficiency virus (HIV), hepatitis B virus (HBV), and hepatitis C virus (HCV) among Medicaid enrollees after starting medication for opioid use disorder (MOUD), despite guidelines recommending such testing. Our objectives were to estimate testing prevalence and trends for HIV, HBV, and HCV among Medicaid enrollees initiating MOUD and examine enrollee characteristics associated with testing. METHODS: We conducted a serial cross-sectional study of 505 440 initiations of MOUD from 2016 to 2019 among 361 537 Medicaid enrollees in 11 states. Measures of MOUD initiation; HIV, HBV, and HCV testing; comorbidities; and demographics were based on enrollment and claims data. Each state used Poisson regression to estimate associations between enrollee characteristics and testing prevalence within 90 days of MOUD initiation. We pooled state-level estimates to generate global estimates using random effects meta-analyses. RESULTS: From 2016 to 2019, testing increased from 20% to 25% for HIV, from 22% to 25% for HBV, from 24% to 27% for HCV, and from 15% to 19% for all 3 conditions. Adjusted rates of testing for all 3 conditions were lower among enrollees who were male (vs nonpregnant females), living in a rural area (vs urban area), and initiating methadone or naltrexone (vs buprenorphine). Associations between enrollee characteristics and testing varied across states. CONCLUSIONS: Among Medicaid enrollees in 11 US states who initiated medications for opioid use disorder, testing for human immunodeficiency virus, hepatitis B virus, hepatitis C virus, and all 3 conditions increased between 2016 and 2019 but the majority were not tested.

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.

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.

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.

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.

Effectiveness and Harms of Contraceptive Counseling and Provision Interventions for Women : A Systematic Review and Meta-analysis.

BACKGROUND: The effectiveness and harms of contraceptive counseling and provision interventions are unclear. PURPOSE: To evaluate evidence of the effectiveness of contraceptive counseling and provision interventions for women to increase use of contraceptives and reduce unintended pregnancy, as well as evidence of their potential harms. DATA SOURCES: English-language searches of Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, PsycINFO, SocINDEX, and MEDLINE (1 January 2000 to 3 February 2022) and reference lists of key studies and systematic reviews. STUDY SELECTION: Randomized controlled trials of interventions providing enhanced contraceptive counseling, contraceptives, or both versus usual care or an active control. DATA EXTRACTION: Dual extraction and quality assessment of studies; results combined using a profile likelihood random-effects model. DATA SYNTHESIS: A total of 38 trials (43 articles [25 472 participants]) met inclusion criteria. Contraceptive use was higher with various counseling interventions (risk ratio [RR], 1.39 [95% CI, 1.16 to 1.72]; I 2 = 85.3%; 10 trials), provision of emergency contraception in advance of use (RR, 2.12 [CI, 1.79 to 2.36]; I 2 = 0.0%; 8 trials), and counseling or provision postpartum (RR, 1.15 [CI, 1.01 to 1.52]; I 2 = 6.6%; 5 trials) or at the time of abortion (RR, 1.19 [CI, 1.09 to 1.32]; I 2 = 0.0%; 5 trials) than with usual care or active controls in multiple clinical settings. Pregnancy rates were generally lower with interventions, although most trials were underpowered and did not distinguish pregnancy intention. Interventions did not increase risk for sexually transmitted infections (STIs) (RR, 1.05 [CI, 0.87 to 1.25]; I 2 = 0.0%; 5 trials) or reduce condom use (RR, 1.03 [CI, 0.94 to 1.13]; I 2 = 0.0%; 6 trials). LIMITATION: Interventions varied; few trials were adequately designed to determine unintended pregnancy outcomes. CONCLUSION: Contraceptive counseling and provision interventions that provide services beyond usual care increase contraceptive use without increasing STIs or reducing condom use. Contraceptive care in clinical practice could be improved by implementing enhanced contraceptive counseling, provision, and follow-up; providing emergency contraception in advance; and delivering contraceptive services immediately postpartum or at the time of abortion. PRIMARY FUNDING SOURCE: Resources Legacy Fund. (PROSPERO: CRD42020192981).

Rural-Urban Differences in Maternal Mortality Trends in the United States, 1999-2017: Accounting for the Impact of the Pregnancy Status Checkbox.

It has been difficult to measure rural-urban differences in maternal mortality ratios (MMRs) in the United States in recent years because of the incremental adoption of a pregnancy status checkbox on the standard US death certificate. Using 1999-2017 mortality and birth data, we examined the impact of the pregnancy checkbox on MMRs according to urbanicity of residence (large urban area, medium/small urban area, or rural area), using log-binomial regression models to predict trends that would have been observed if all states had adopted the checkbox as of 1999. Implementation of the checkbox resulted in an average estimated increase of 7.5 maternal deaths per 100,000 live births (95% confidence interval (CI): 6.3, 8.8) in large urban areas (a 76% increase), 11.6 (95% CI: 9.6, 13.6) in medium/small urban areas (a 113% increase), and 16.6 (95% CI: 12.9, 20.3) in rural areas (a 107% increase), compared with MMRs prior to the checkbox. Assuming that all states had the checkbox as of 1999, demographic-factor-adjusted predicted MMRs increased in rural areas, declined in large urban areas, and did not change in medium/small urban areas. However, trends and urban-rural differences were substantially attenuated when analyses were limited to direct/specific causes of maternal death, which are probably subject to less misclassification. Accurate ascertainment of maternal deaths, particularly in rural areas, is important for reducing disparities in maternal mortality.

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.

Respiratory Syncytial Virus Bronchiolitis Hospitalizations in Young Infants After the Introduction of Paid Family Leave in New York State, 2015‒2019.

Objectives. To determine if the introduction of New York State's 8-week paid family leave policy on January 1, 2018, reduced rates of hospitalizations with respiratory syncytial virus (RSV) bronchiolitis or any acute lower respiratory tract infection among young infants. Methods. We conducted an interrupted time series analysis using New York State population-based, all-payer hospital discharge records, October 2015 to December 2019. We estimated the change in monthly hospitalization rates for RSV bronchiolitis and for any acute lower respiratory tract infection among infants aged 8 weeks or younger after the introduction of paid family leave while controlling for temporal trends and RSV seasonality. We modeled RSV hospitalization rates in infants aged 1 year as a control. Results. Hospitalization rates for RSV bronchiolitis and any acute lower respiratory tract infection decreased by 30% after the introduction of paid family leave (rate ratio [RR] = 0.71; 95% confidence interval [CI] = 0.54, 0.94; and RR = 0.72; 95% CI = 0.59, 0.88, respectively). There were no such reductions in infants aged 1 year (RR = 0.98; 95% CI = 0.72, 1.33; and RR = 1.17; 95% CI = 1.03, 1.32, respectively). Conclusions. State paid family leave was associated with fewer RSV-associated hospitalizations in young infants. (Am J Public Health. 2022;112(2):316-324. https://doi.org/10.2105/AJPH.2021.306559).

Out-of-hospital births and infant mortality in the United States: Effect measure modification by rural maternal residence.

BACKGROUND: Out-of-hospital births have been increasing in the United States, and home births are almost twice as common in rural vs. urban counties. Planned home births and births in rural areas have each been associated with an increased risk of infant mortality. OBJECTIVES: To estimate the effect of birth setting on infant mortality in the United States and how this is modified by rural-urban county of maternal residence. METHODS: We conducted a population-based cohort study of infants born in the United States during 2010-2017 using the National Center for Health Statistics' period-linked birth-infant death files. Unadjusted and adjusted Poisson regression models were used to calculate infant mortality rate ratios and 95% confidence intervals for out-of-hospital births vs. hospital births stratified by maternal residence. Relative excess risk due to interaction (RERI) was calculated to assess effect measure modification on the additive scale. RESULTS: The study included 25,210,263 live births. Of rural births, 97.8% was in hospitals, 0.5% was in birth centres, and 1.5% was planned home births; of urban births, 98.6% was in hospitals, 0.5% was in birth centres, and 0.7% was planned home births. After adjusting for maternal demographics and markers of high-risk pregnancy and stratifying by maternal residence, infant mortality rates were generally higher for out-of-hospital as compared to hospital births (e.g. rural planned home births aRR 1.62, 95% confidence interval [CI] 1.42, 1.85, and rural birth centre aRR 1.33, 95% CI 1.05, 1.68). There were positive additive effects of rural residence on infant mortality for planned home births and birth centre births. CONCLUSIONS: Within both rural and urban areas, out-of-hospital births generally had higher rates of infant mortality than hospital births after accounting for maternal demographics and markers of high-risk pregnancy. The risks associated with planned home births and birth centre births were more pronounced for women in rural counties.

Dietary correlates of urinary phthalate metabolite concentrations in 6-19 Year old children and adolescents.

BACKGROUND: Children are vulnerable to adverse health effects associated with phthalates, and food is one source of exposure. A comprehensive analysis investigating urinary phthalate metabolite concentrations in relation to food type and source has yet to be undertaken. OBJECTIVES: We use reduced rank regression, a dimension reduction method, to identify dietary patterns associated with urinary phthalate metabolites in children in a large US study. METHODS: We used data from 2369 participants 6-19 years old from the 2011-2016 National Health and Nutrition Examination Survey who recalled their diet over the 24 h prior to urine collection. We used dietary data to estimate intake and source (i.e., prepared at a restaurant vs. purchased from a grocery store) of 136 food groups. We used reduced rank regression to identify dietary patterns explaining variation in overall urinary concentrations of ∑di-2-ethylhexyl phthalate and seven phthalate metabolites. We also examined pairwise associations between food groups and urinary phthalate metabolites. RESULTS: We identified eight dietary patterns that cumulatively explained 12.1% of variation in urinary phthalate metabolites, including a dietary pattern characterized by certain starchy vegetables (e.g., plantains and lima beans), quick breads, and citrus juice prepared at a restaurant. A one SD increase in this food pattern score was associated with a 37.2% higher monocarboxyoctyl phthalate (MCOP) concentration (95% CI: 30.3, 44.4). We also observed weak associations between certain food groups and urinary phthalate metabolites (e.g., a one SD increase in intake of certain starchy vegetables prepared at a restaurant was associated with a 1.8% [95% CI: 0.7, 2.8] higher MCOP). CONCLUSIONS: Children whose diets were characterized by higher consumption of certain starchy vegetables, quick breads, and citrus juices prepared at a restaurant had higher urinary phthalate metabolites. More detailed information on the specific methods of food processing and details on packaging materials is needed.

Associations of Unintended Pregnancy With Maternal and Infant Health Outcomes: A Systematic Review and Meta-analysis.

Importance: Unintended pregnancy is common in the US and is associated with adverse maternal and infant health outcomes; however, estimates of these associations specific to current US populations are lacking. Objective: To evaluate associations of unintended pregnancy with maternal and infant health outcomes during pregnancy and post partum with studies relevant to current clinical practice and public health in the US. Data Sources: Cochrane Central Register of Controlled Trials and Database of Systematic Reviews, PsycINFO, SocINDEX, and MEDLINE databases (January 1, 2000, to June 15, 2022) and manual review of reference lists. Study Selection: Epidemiologic studies relevant to US populations that compared key maternal and infant health outcomes for unintended vs intended pregnancies and met prespecified eligibility criteria were included after investigators' independent dual review of abstracts and full-text articles. Data Extraction and Synthesis: Investigators abstracted data from publications on study methods, participant characteristics, settings, pregnancy intention, comparators, confounders, and outcomes; data were validated by a second investigator. Risk of bias was independently dual rated by investigators using criteria developed by the US Preventive Services Task Force. Results of studies controlling for confounders were combined by using a profile likelihood random-effects model. Main Outcomes and Measures: Prenatal depression, postpartum depression, maternal experience of interpersonal violence, preterm birth, and infant low birth weight. Results: Thirty-six studies (N = 524 522 participants) were included (14 cohort studies rated good or fair quality; 22 cross-sectional studies); 12 studies used large population-based data sources. Compared with intended pregnancy, unintended pregnancy was significantly associated with higher odds of depression during pregnancy (23.3% vs 13.9%; adjusted odds ratio [aOR], 1.59 [95% CI, 1.35-1.92]; I2 = 85.0%; 15 studies [n = 41 054]) and post partum (15.7% vs 9.6%; aOR, 1.51 [95% CI, 1.40-1.70]; I2 = 7.1%; 10 studies [n = 82 673]), interpersonal violence (14.6% vs 5.5%; aOR, 2.22 [95% CI, 1.41-2.91]; I2 = 64.1%; 5 studies [n = 42 306]), preterm birth (9.4% vs 7.7%; aOR, 1.21 [95% CI, 1.12-1.31]; I2 = 1.7%; 10 studies [n = 94 351]), and infant low birth weight (7.3% vs 5.2%; aOR, 1.09 [95% CI, 1.02-1.21]; I2 = 0.0%; 8 studies [n = 87 547]). Results were similar in sensitivity analyses based on controlling for history of depression for prenatal and postpartum depression and on study design and definition of unintended pregnancy for relevant outcomes. Studies provided limited sociodemographic data and measurement of confounders and outcomes varied. Conclusions and Relevance: In this systematic review and meta-analysis of epidemiologic observational studies relevant to US populations, unintended pregnancy, compared with intended pregnancy, was significantly associated with adverse maternal and infant outcomes. Trial Registration: PROSPERO Identifier: CRD42020192981.

Short interpregnancy interval and pregnancy outcomes: How important is the timing of confounding variable ascertainment?

BACKGROUND: Estimation of causal effects of short interpregnancy interval on pregnancy outcomes may be confounded by time-varying factors. These confounders should be ascertained at or before delivery of the first ("index") pregnancy, but are often only measured at the subsequent pregnancy. OBJECTIVES: To quantify bias induced by adjusting for time-varying confounders ascertained at the subsequent (rather than the index) pregnancy in estimated effects of short interpregnancy interval on pregnancy outcomes. METHODS: We analysed linked records for births in British Columbia, Canada, 2004-2014, to women with ≥2 singleton pregnancies (n = 121 151). We used log binomial regression to compare short (<6, 6-11, 12-17 months) to 18-23-month reference intervals for 5 outcomes: perinatal mortality (stillbirth and neonatal death); small for gestational age (SGA) birth and preterm delivery (all, early, spontaneous). We calculated per cent differences between adjusted risk ratios (aRR) from two models with maternal age, low socio-economic status, body mass index, and smoking ascertained in the index pregnancy and the subsequent pregnancy. We considered relative per cent differences <5% minimal, 5%-9% modest, and ≥10% substantial. RESULTS: Adjustment for confounders measured at the subsequent pregnancy introduced modest bias towards the null for perinatal mortality aRRs for <6-month interpregnancy intervals [-9.7%, 95% confidence interval [CI] -15.3, -6.2). SGA aRRs were minimally biased towards the null (-1.1%, 95% CI -2.6, 0.8) for <6-month intervals. While early preterm delivery aRRs were substantially biased towards the null (-10.4%, 95% CI -14.0, -6.6) for <6-month interpregnancy intervals, bias was minimal for <6-month intervals for all preterm deliveries (-0.6%, 95% CI -2.0, 0.8) and spontaneous preterm deliveries (-1.3%, 95% CI -3.1, 0.1). For all outcomes, bias was attenuated and minimal for 6-11-month and 12-17-month interpregnancy intervals. CONCLUSION: These findings suggest that maternally linked pregnancy data may not be needed for appropriate confounder adjustment when studying the effects of short interpregnancy interval on pregnancy outcomes.

Post-partum interval and time to pregnancy in a prospective preconception cohort.

BACKGROUND: Little is known about the influence of the post-partum interval-defined as the time between giving birth and attempting to conceive again-on subsequent fecundability. OBJECTIVES: We evaluated the association between the post-partum interval and fecundability in Pregnancy Study Online (PRESTO), a web-based prospective preconception cohort of pregnancy planners from the United States and Canada. METHODS: Eligible women were aged 21-45 years, attempting pregnancy, and not using fertility treatment. Women completed a baseline questionnaire to ascertain information on demographics, life style factors, and reproductive history, including detailed information on all previous pregnancies. They completed bi-monthly follow-up questionnaires for up to 12 months to update pregnancy status over time. We used proportional probabilities regression models to estimate fecundability ratios (FRs) and 95% confidence intervals (CIs) adjusted for sociodemographic and reproductive history covariates. Analyses were restricted to multiparous women who had been attempting pregnancy with the same male partner for ≤6 menstrual cycles at enrolment. RESULTS: During 2013-2019, 1489 female participants contributed 959 pregnancies and 5003 cycles. The median post-partum interval was 18 months. Compared with a 12- to 23-month post-partum interval, FRs for post-partum intervals of <12, 24-47, and ≥48 months were 0.89 (95% CI 0.77, 1.04), 1.06 (95% CI 0.91, 1.23), and 0.81 (95% CI 0.62, 1.05), respectively. When restricting to women without a history of subfertility, results were consistent for long post-partum interval and attenuated for short post-partum interval. CONCLUSIONS: Among North American pregnancy planners, long post-partum intervals (≥48 months) were associated with slightly reduced fecundability. Short post-partum intervals (<12 months) were weakly associated with reduced fecundability in some subgroups including women with a history of caesarean delivery and planned pregnancies.

Use of Medications for Treatment of Opioid Use Disorder Among US Medicaid Enrollees in 11 States, 2014-2018.

Importance: There is limited information about trends in the treatment of opioid use disorder (OUD) among Medicaid enrollees. Objective: To examine the use of medications for OUD and potential indicators of quality of care in multiple states. Design, Setting, and Participants: Exploratory serial cross-sectional study of 1 024 301 Medicaid enrollees in 11 states aged 12 through 64 years (not eligible for Medicare) with International Classification of Diseases, Ninth Revision (ICD-9 or ICD-10) codes for OUD from 2014 through 2018. Each state used generalized estimating equations to estimate associations between enrollee characteristics and outcome measure prevalence, subsequently pooled to generate global estimates using random effects meta-analyses. Exposures: Calendar year, demographic characteristics, eligibility groups, and comorbidities. Main Outcomes and Measures: Use of medications for OUD (buprenorphine, methadone, or naltrexone); potential indicators of good quality (OUD medication continuity for 180 days, behavioral health counseling, urine drug tests); potential indicators of poor quality (prescribing of opioid analgesics and benzodiazepines). Results: In 2018, 41.7% of Medicaid enrollees with OUD were aged 21 through 34 years, 51.2% were female, 76.1% were non-Hispanic White, 50.7% were eligible through Medicaid expansion, and 50.6% had other substance use disorders. Prevalence of OUD increased in these 11 states from 3.3% (290 628 of 8 737 082) in 2014 to 5.0% (527 983 of 10 585 790) in 2018. The pooled prevalence of enrollees with OUD receiving medication treatment increased from 47.8% in 2014 (range across states, 35.3% to 74.5%) to 57.1% in 2018 (range, 45.7% to 71.7%). The overall prevalence of enrollees receiving 180 days of continuous medications for OUD did not significantly change from the 2014-2015 to 2017-2018 periods (-0.01 prevalence difference, 95% CI, -0.03 to 0.02) with state variability in trend (90% prediction interval, -0.08 to 0.06). Non-Hispanic Black enrollees had lower OUD medication use than White enrollees (prevalence ratio [PR], 0.72; 95% CI, 0.64 to 0.81; P < .001; 90% prediction interval, 0.52 to 1.00). Pregnant women had higher use of OUD medications (PR, 1.18; 95% CI, 1.11-1.25; P < .001; 90% prediction interval, 1.01-1.38) and medication continuity (PR, 1.14; 95% CI, 1.10-1.17, P < .001; 90% prediction interval, 1.06-1.22) than did other eligibility groups. Conclusions and Relevance: Among US Medicaid enrollees in 11 states, the prevalence of medication use for treatment of opioid use disorder increased from 2014 through 2018. The pattern in other states requires further research.

Time for Better Access to High-Quality Abortion Data in the United States.

Despite considerable lay attention on the regulation and legislation of abortion in the United States, important gaps remain in our understanding of its incidence and health and social consequences since its legalization in 1973. Many of these gaps in knowledge can be attributed to a lack of access to high-quality, individual-level abortion data over the past 46 years. Herein, we review the strengths and limitations of different, currently available methods for enumerating abortions in the United States and discuss how lack of access to high-quality data limits our surveillance and research activities of not only abortion but other important reproductive and perinatal health outcomes. We conclude by discussing some potential opportunities for improved access to high-quality abortion data in the United States.

Short interpregnancy intervals and adverse perinatal outcomes in high-resource settings: An updated systematic review.

BACKGROUND: This systematic review summarises association between short interpregnancy intervals and adverse perinatal health outcomes in high-resource settings to inform recommendations for healthy birth spacing for the United States. METHODS: Five databases and a previous systematic review were searched for relevant articles published between 1966 and 1 May 2017. We included studies meeting the following criteria: (a) reporting of perinatal health outcomes after a short interpregnancy interval since last livebirth; (b) conducted within a high-resource setting; and (c) estimates were adjusted for maternal age and at least one socio-economic factor. RESULTS: Nine good-quality and 18 fair-quality studies were identified. Interpregnancy intervals <6 months were associated with a clinically and statistically significant increased risk of adverse outcomes in studies of preterm birth (eg, aOR ≥ 1.20 in 10 of 14 studies); spontaneous preterm birth (eg, aOR ≥ 1.20 in one of two studies); small-for-gestational age (eg, aOR ≥ 1.20 in 5 of 11 studies); and infant mortality (eg, aOR ≥ 1.20 in four of four studies), while four studies of perinatal death showed no association. Interpregnancy intervals of 6-11 and 12-17 months generally had smaller point estimates and confidence intervals that included the null. Most studies were population-based and few included adjustment for detailed measures of key confounders. CONCLUSIONS: In high-resource settings, there is some evidence showing interpregnancy intervals <6 months since last livebirth are associated with increased risks for preterm birth, small-for-gestational age and infant death; however, results were inconsistent. Additional research controlling for confounding would further inform recommendations for healthy birth spacing for the United States.

Short interpregnancy intervals and adverse maternal outcomes in high-resource settings: An updated systematic review.

BACKGROUND: Currently, no federal guidelines provide recommendations on healthy birth spacing for women in the United States. This systematic review summarises associations between short interpregnancy intervals and adverse maternal outcomes to inform the development of birth spacing recommendations for the United States. METHODS: PubMed/Medline, POPLINE, EMBASE, CINAHL, the Cochrane Database of Systematic Reviews, and a previous systematic review were searched to identify relevant articles published from 1 January 2006 and 1 May 2017. Included studies reported maternal health outcomes following a short versus longer interpregnancy interval, were conducted in high-resource settings, and adjusted estimates for at least maternal age. Two investigators independently assessed study quality and applicability using established methods. RESULTS: Seven cohort studies met inclusion criteria. There was limited but consistent evidence that short interpregnancy interval is associated with increased risk of precipitous labour and decreased risks of labour dystocia. There was some evidence that short interpregnancy interval is associated with increased risks of subsequent pre-pregnancy obesity and gestational diabetes, and decreased risk of preeclampsia. Among women with a previous caesarean delivery, short interpregnancy interval was associated with increased risk of uterine rupture in one study. No studies reported outcomes related to maternal depression, interpregnancy weight gain, maternal anaemia, or maternal mortality. CONCLUSIONS: In studies from high-resource settings, short interpregnancy intervals are associated with both increased and decreased risks of adverse maternal outcomes. However, most outcomes were evaluated in single studies, and the strength of evidence supporting associations is low.