Browsing by Author "Stein, Bradley D."

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    Assessment of Filled Buprenorphine Prescriptions for Opioid Use Disorder During the Coronavirus Disease 2019 Pandemic
    (AMA, 2020-12) Nguyen, Thuy D.; Gupta, Sumedha; Ziedan, Engy; Simon, Kosali I.; Alexander, Caleb; Saloner, Brendan; Stein, Bradley D.; Economics, School of Liberal Arts
    The coronavirus disease 2019 (COVID-19) pandemic has profoundly disrupted health care delivery in the US.1 The Centers for Disease Control and Prevention noted a 9.1% increase in reported 12-month counts of drug overdose deaths from March 2019 to March 2020, from 67 726 to 73 860.2 On March 13, 2020, a COVID-19 national emergency was declared. To diminish potential barriers to treatment access, 3 days later, federal guidelines on telemedicine use were released, providing authorized practitioners increased flexibility to prescribe buprenorphine to patients with opioid use disorder (OUD) during this public health emergency.3 Other local, state, and federal policy initiatives have also attempted to preserve access to medication treatment for OUD, yet the cumulative outcome of these undertakings is not clear.
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    Association of Individual and Community Factors With Hepatitis C Infections Among Pregnant People and Newborns
    (American Medical Association, 2021-10-29) Patrick, Stephen W.; Dupont, William D.; McNeer, Elizabeth; McPheeters, Melissa; Cooper, William O.; Aronoff, David M.; Osmundson, Sarah; Stein, Bradley D.; Medicine, School of Medicine
    Importance: The opioid crisis has increasingly affected pregnant people and infants. Hepatitis C virus (HCV) infections, a known complication of opioid use, grew in parallel with opioid-related complications; however, the literature informing individual and community risks associated with maternal HCV infection is sparse. Objectives: To determine (1) individual and county-level factors associated with HCV among pregnant people and their newborn infants, and (2) how county-level factors influence individual risk among the highest risk individuals. Design setting and participants: This time-series analysis of retrospective, repeated cross-sectional data included pregnant people in all US counties from 2009 to 2019. We constructed mixed-effects logistic regression models to explore the association between HCV infection and individual and county-level covariates. Analyses were conducted between June 2019 and September 2021. Exposures: Individual-level: race and ethnicity, education, marital status, insurance type; county-level: rurality, employment, density of obstetricians. Main outcomes and measures: Hepatitis C virus as indicated on the newborn's birth certificate. Results: Between 2009 and 2019, there were 39 380 122 pregnant people who met inclusion criteria, among whom 138 343 (0.4%) were diagnosed with HCV. People with HCV were more likely to be White (79.9% vs 53.5%), American Indian or Alaska Native (AI/AN) (2.9% vs 0.9%), be without a 4-year degree (93.2% vs 68.6%), and be unmarried (73.7% vs 38.8%). The rate (per 1000 live births) of HCV among pregnant people increased from 1.8 to 5.1. In adjusted analyses, the following factors were associated with higher rates of HCV: individuals identified as White (adjusted odds ratio [aOR], 7.37; 95% CI, 7.20-7.55) and AI/AN (aOR, 7.94; 95% CI, 7.58-8.31) compared with Black individuals, those without a 4-year degree (aOR, 3.19; 95% CI, 3.11-3.28), those with Medicaid vs private insurance (aOR, 3.27; 95% CI, 3.21-3.33), and those who were unmarried (aOR, 2.80; 95% CI, 2.76-2.84); whereas, rural residence, higher rates of employment, and greater density of obstetricians was associated with lower risk of HCV. Among individuals at the highest risk of HCV, higher levels of county employment, accounting for other factors, were associated with less of a rise in HCV infections over time. Conclusions and relevance: In this cross-sectional study, maternal and newborn HCV infections increased substantially between 2009 and 2019, disproportionately among White and AI/AN people without a 4-year degree. County-level factors, including higher levels of employment, were associated with lower individual risks of acquiring the virus.
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    Expert Panel Consensus on State-Level Policies to Improve Engagement and Retention in Treatment for Opioid Use Disord
    (American Medical Association, 2022-09-02) Smart, Rosanna; Grant, Sean; Gordon, Adam J.; Pacula, Rosalie Liccardo; Stein, Bradley D.; Social and Behavioral Sciences, School of Public Health
    Importance: In the US, recent legislation and regulations have been considered, proposed, and implemented to improve the quality of treatment for opioid use disorder (OUD). However, insufficient empirical evidence exists to identify which policies are feasible to implement and successfully improve patient and population-level outcomes. Objective: To examine expert consensus on the effectiveness and the ability to implement state-level OUD treatment policies. Evidence review: This qualitative study used the ExpertLens online platform to conduct a 3-round modified Delphi process to convene 66 stakeholders (health care clinicians, social service practitioners, addiction researchers, health policy decision-makers, policy advocates, and persons with lived experience). Stakeholders participated in 1 of 2 expert panels on 14 hypothetical state-level policies targeting treatment engagement and linkage, evidence-based and integrated care, treatment flexibility, and monitoring or support services. Participants rated policies in round 1, discussed results in round 2, and provided final ratings in round 3. Participants used 4 criteria associated with either the effectiveness or implementability to rate and discuss each policy. The effectiveness panel (n = 29) considered policy effects on treatment engagement, treatment retention, OUD remission, and opioid overdose mortality. The implementation panel (n = 34) considered the acceptability, feasibility, affordability, and equitability of each policy. We measured consensus using the interpercentile range adjusted for symmetry analysis technique from the RAND/UCLA appropriateness method. Findings: Both panels reached consensus on all items. Experts viewed 2 policies (facilitated access to medications for OUD and automatic Medicaid enrollment for citizens returning from correctional settings) as highly implementable and highly effective in improving patient and population-level outcomes. Participants rated hub-and-spoke-type policies and provision of financial incentives to emergency departments for treatment linkage as effective; however, they also rated these policies as facing implementation barriers associated with feasibility and affordability. Coercive policies and policies levying additional requirements on individuals with OUD receiving treatment (eg, drug toxicology testing, counseling requirements) were viewed as low-value policies (ie, decreasing treatment engagement and retention, increasing overdose mortality, and increasing health inequities). Conclusions and relevance: The findings of this study may provide urgently needed consensus on policies for states to consider either adopting or deimplementing in their efforts to address the opioid overdose crisis.
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    We Need a Taxonomy of State-Level Opioid Policies
    (AMA, 2020) Grant, Sean; Smart, Rosanna; Stein, Bradley D.; Social and Behavioral Sciences, School of Public Health