Dataset Information

Medications for opioid use disorder among pregnant women referred by criminal justice agencies before and after Medicaid expansion: A retrospective study of admissions to treatment centers in the United States.

ABSTRACT: BACKGROUND:Criminal justice involvement is common among pregnant women with opioid use disorder (OUD). Medications for OUD improve pregnancy-related outcomes, but trends in treatment data among justice-involved pregnant women are limited. We sought to examine trends in medications for OUD among pregnant women referred to treatment by criminal justice agencies and other sources before and after the Affordable Care Act's Medicaid expansion. METHODS AND FINDINGS:We conducted a serial, cross-sectional analysis using 1992-2017 data from pregnant women admitted to treatment facilities for OUD using a national survey of substance use treatment facilities in the United States (N = 131,838). We used multiple logistic regression and difference-in-differences methods to assess trends in medications for OUD by referral source. Women in the sample were predominantly aged 18-29 (63.3%), white non-Hispanic, high school graduates, and not employed. Over the study period, 26.3% (95% CI 25.7-27.0) of pregnant women referred by criminal justice agencies received medications for OUD, which was significantly less than those with individual referrals (adjusted rate ratio [ARR] 0.45, 95% CI 0.43-0.46; P < 0.001) or those referred from other sources (ARR 0.51, 95% CI 0.50-0.53; P < 0.001). Among pregnant women referred by criminal justice agencies, receipt of medications for OUD increased significantly more in states that expanded Medicaid (n = 32) compared with nonexpansion states (n = 18) (adjusted difference-in-differences: 12.0 percentage points, 95% CI 1.0-23.0; P = 0.03). Limitations of this study include encounters that are at treatment centers only and that do not encompass buprenorphine prescribed in ambulatory care settings, prisons, or jails. CONCLUSIONS:Pregnant women with OUD referred by criminal justice agencies received evidence-based treatment at lower rates than women referred through other sources. Improving access to medications for OUD for pregnant women referred by criminal justice agencies could provide public health benefits to mothers, infants, and communities. Medicaid expansion is a potential mechanism for expanding access to evidence-based treatment for pregnant women in the US.

SUBMITTER: Winkelman TNA

PROVIDER: S-EPMC7233523 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature

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Medications for opioid use disorder among pregnant women referred by criminal justice agencies before and after Medicaid expansion: A retrospective study of admissions to treatment centers in the United States.

Winkelman Tyler N A TNA Ford Becky R BR Shlafer Rebecca J RJ McWilliams Anna A Admon Lindsay K LK Patrick Stephen W SW

PLoS medicine 20200518 5

<h4>Background</h4>Criminal justice involvement is common among pregnant women with opioid use disorder (OUD). Medications for OUD improve pregnancy-related outcomes, but trends in treatment data among justice-involved pregnant women are limited. We sought to examine trends in medications for OUD among pregnant women referred to treatment by criminal justice agencies and other sources before and after the Affordable Care Act's Medicaid expansion.<h4>Methods and findings</h4>We conducted a serial ...[more]

PMID: 32421717

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Project description:BackgroundPolicies aimed at addressing the high rates of opioid overdose have prioritized increasing access to medications for treatment of opioid use disorder (MOUD). Numerous barriers exist to providing MOUD within the criminal justice system and/or to justice-involved populations. The aim of this study was to conduct a scoping review of the peer-reviewed literature on implementation of MOUD within criminal justice settings and with justice-involved populations.MethodsA systematic search process identified 53 papers that addressed issues pertaining to implementation barriers or facilitators of MOUD within correctional settings or with justice-involved populations; these were coded and qualitatively analyzed for common themes.ResultsOver half of the papers were published outside of the U.S. (n = 28); the most common study designs were surveys or structured interviews (n = 20) and qualitative interviews/focus groups (n = 18) conducted with correctional or treatment staff and with incarcerated individuals. Four categories of barriers and facilitators were identified: institutional, programmatic, attitudinal, and systemic. Institutional barriers typically limited capacity to provide MOUD to justice-involved individuals, which led to programmatic practices in which MOUD was not implemented following clinical guidelines, often resulting in forcible withdrawal or inadequate treatment. These programmatic practices commonly led to aversive experiences among justice-involved individuals, who consequently espoused negative attitudes about MOUD and were reluctant to seek treatment with MOUD following their release to the community. Facilitators of MOUD implementation included increased knowledge and information from training interventions and favorable prior experiences with individuals being treated with MOUD among correctional and treatment staff. Few systemic facilitators to implementing MOUD with justice-involved individuals were evident in the literature.ConclusionBarriers to implementing MOUD in criminal justice settings and/or with justice-involved populations are pervasive, multi-leveled, and inter-dependent. More work is needed on facilitators of MOUD implementation.

Project description:Health system data incompletely capture the social risk factors for drug overdose. This study aimed to improve the accuracy of a machine-learning algorithm to predict opioid overdose risk by integrating human services and criminal justice data with health claims data to capture the social determinants of overdose risk. This prognostic study included Medicaid beneficiaries (n = 237,259) in Allegheny County, Pennsylvania enrolled between 2015 and 2018, randomly divided into training, testing, and validation samples. We measured 290 potential predictors (239 derived from Medicaid claims data) in 30-day periods, beginning with the first observed Medicaid enrollment date during the study period. Using a gradient boosting machine, we predicted a composite outcome (i.e., fatal or nonfatal opioid overdose constructed using medical examiner and claims data) in the subsequent month. We compared prediction performance between a Medicaid claims only model to one integrating human services and criminal justice data with Medicaid claims (i.e., integrated model) using several metrics (e.g., C-statistic, number needed to evaluate [NNE] to identify one overdose). Beneficiaries were stratified into risk-score decile subgroups. The samples (training = 79,087, testing = 79,086, validation = 79,086) had similar characteristics (age = 38±18 years, female = 56%, white = 48%, having at least one overdose = 1.7% during study period). Using the validation sample, the integrated model slightly improved on the Medicaid claims only model (C-statistic = 0.885; 95%CI = 0.877-0.892 vs. C-statistic = 0.871; 95%CI = 0.863-0.878), with small corresponding improvements in the NNE and positive predictive value. Nine of the top 30 most important predictors in the integrated model were human services and criminal justice variables. Using the integrated model, approximately 70% of individuals with overdoses were members of the top risk decile (overdose rates in the subsequent month = 47/10,000 beneficiaries). Few individuals in the bottom 9 deciles had overdose episodes (0-12/10,000). Machine-learning algorithms integrating claims and social service and criminal justice data modestly improved opioid overdose prediction among Medicaid beneficiaries for a large U.S. county heavily affected by the opioid crisis.

Project description:ImportanceHealth disparities between African Americans and Whites have persisted in the United States. Researchers have recently hypothesized that the relatively poor health of African Americans may be caused, in part, by African American overrepresentation in the criminal justice system.ObjectivesTo test the hypothesis that criminal justice system involvement is associated with poor health and greater health risk when controlling for unobserved family factors through a discordant sibling design.MethodsSubjects were drawn from the Carolina African American Twin Study of Aging (CAATSA). Criminal conviction records were extracted from North Carolina's Department of Public Safety. Six measures of health and one measure of health risk were analyzed. The health of convicted respondents was compared to that of unrelated non-convicted respondents matched on childhood and demographic factors ("matched sample"). Convicted respondents were also compared to non-convicted siblings ("discordant sibling sample").ResultsThe matched sample included 134 CAATSA respondents. On average, convicted CAATSA respondents, compared to matched non-convicted respondents, were in worse health. Convicted respondents had worse mean self-reported health, worse lung function, more depressive symptoms, and smoked more. The discordant sibling sample included 74 respondents. Convicted siblings and non-convicted siblings had similar self-reported health, depressive symptoms, and smoking. In general, non-convicted siblings were in worse health than non-convicted respondents from the matched sample, implying that poor health runs in families.ConclusionsThis study provided preliminary evidence that some of the association between a criminal record and poor health is confounded by family factors. Though more research is needed to support these results, the study suggests that criminal involvement may not be associated with the surfeit of health problems observed among African Americans. The criminal justice system, nonetheless, could be used to decrease the health disparity.

Dataset Information

Medications for opioid use disorder among pregnant women referred by criminal justice agencies before and after Medicaid expansion: A retrospective study of admissions to treatment centers in the United States.

Publications

Medications for opioid use disorder among pregnant women referred by criminal justice agencies before and after Medicaid expansion: A retrospective study of admissions to treatment centers in the United States.

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