Hospital Quality Indicators for Opioid-Exposed Infants: Results From an Expert Consensus Panel.

OBJECTIVE: To elicit expert consensus on quality indicators for the hospital-based care of opioid-exposed infants. METHODS: We used the ExpertLens online platform to conduct a 3-round modified Delphi panel. Expert panelists included health care providers, parents in recovery, quality experts, and public health experts. We identified 49 candidate quality indicators from a literature review and environmental scan. A total of 32 experts rated the importance and feasibility of the indicators using a 9-point Likert scale (Round 1), reviewed and discussed the initial ratings (round 2), and revised their original ratings (Round 3). Numeric scores corresponded with descriptive ratings of "low" (1-3), "uncertain" (4-6), or "high" (7-9). We measured consensus using the RAND/UCLA Appropriateness Method. RESULTS: Candidate quality indicators assessed structures, processes, and outcomes in multiple domains of clinical care. After the final round, 36 indicators were rated "high" on importance and feasibility. Experts had strong consensus on the importance of quality indicators to assess universal screening of pregnant people for substance use disorder, hospital staff training, standardized assessment for neonatal opioid withdrawal syndrome, nonpharmacologic interventions, and transitions of care. For indicators focused on processes and outcomes, experts saw feasibility as dependent on the information routinely documented in electronic medical records or billing records. To present a more complete picture of hospital quality, experts suggested development of composite measures that summarize quality across multiple indicators. CONCLUSIONS: A panel of experts reached consensus on a range of quality indicators for hospital-based care of opioid-exposed infants, with potential for use in national benchmarking, intervention studies, or hospital performance measurement.

Availability of Medications for Opioid Use Disorder in Community Mental Health Facilities.

Importance: Medications for opioid use disorder (MOUD) are an effective but underutilized treatment. Opioid use disorder prevalence is high among people receiving treatment in community outpatient mental health treatment facilities (MHTFs), but MHTFs are understudied as an MOUD access point. Objective: To quantify availability of MOUD at community outpatient MHTFs in high-burden states as well as characteristics associated with offering MOUD. Design, Setting, and Participants: This cross-sectional study performed a phone survey between April and July 2023 among a representative sample of community outpatient MHTFs within 20 states most affected by the opioid crisis, including all Certified Community Behavioral Health Centers (CCBHCs). Participants were staff at 450 surveyed community outpatient MHTFs in 20 states in the US. Main Outcomes and Measures: MOUD availability. A multivariable logistic regression was fit to assess associations of facility, county, and state-level characteristics with offering MOUD. Results: Surveys with staff from 450 community outpatient MHTFs (152 CCBHCs and 298 non-CCBHCs) in 20 states were analyzed. Weighted estimates found that 34% (95% CI, 29%-39%) of MHTFs offered MOUD in these states. Facility-level factors associated with increased odds of offering MOUD were: self-reporting being a CCBHC (odds ratio [OR], 2.11 [95% CI, 1.08-4.11]), providing integrated mental and substance use disorder treatment (OR, 5.21 [95% CI, 2.44-11.14), having a specialized treatment program for clients with co-occurring mental and substance use disorders (OR, 2.25 [95% CI, 1.14-4.43), offering housing services (OR, 2.54 [95% CI, 1.43-4.51]), and laboratory testing (OR, 2.15 [95% CI, 1.12-4.12]). Facilities that accepted state-financed health insurance plans other than Medicaid as a form of payment had increased odds of offering MOUD (OR, 1.95 [95% CI, 1.01-3.76]) and facilities that accepted state mental health agency funds had reduced odds (OR, 0.43 [95% CI, 0.19-0.99]). Conclusions and Relevance: In this study of 450 community outpatient MHTFs in 20 high-burden states, approximately one-third offered MOUD. These results suggest that further study is needed to report MOUD uptake, either through increased prescribing at all clinics or through effective referral models.

Racial and Ethnic Disparities in Geographic Availability of Buprenorphine.

OBJECTIVES: Overdose mortality has risen most rapidly among racial and ethnic minority groups while buprenorphine prescribing has increased disproportionately in predominantly non-Hispanic White urban areas. To identify whether buprenorphine availability equitably meets the needs of diverse populations, we examined the differential geographic availability of buprenorphine in areas with greater concentrations of racial and ethnic minority groups. METHODS: Using IQVIA longitudinal prescription data, IQVIA OneKey data, and Microsoft Bing Maps, we calculated 2 outcome measures across the continental United States: the number of buprenorphine prescribers per 1000 residents within a 30-minute drive of a ZIP code, and the number of buprenorphine prescriptions dispensed per capita at retail pharmacies among nearby buprenorphine prescribers. We then estimated differences in these outcomes by ZIP codes' racial and ethnic minority composition and rurality with t tests. RESULTS: Buprenorphine prescribers per 1000 residents within a 30-minute drive decreased by 3.8 prescribers per 1000 residents in urban ZIP codes (95% confidence interval = -4.9 to -2.7) and 2.6 in rural ZIP codes (95% confidence interval = -3.0 to -2.2) whose populations consisted of ≥5% racial and ethnic minority groups. There were 45% to 55% fewer prescribers in urban areas and 62% to 79% fewer prescribers in rural areas as minority composition increased. Differences in dispensed buprenorphine per capita were similar but larger in magnitude. CONCLUSIONS: Achieving more equitable buprenorphine access requires not only increasing the number of buprenorphine-prescribing clinicians; in urban areas with higher racial and ethnic minority group populations, it also requires efforts to promote greater buprenorphine prescribing among already prescribing clinicians.

How policymakers innovate around behavioral health: adoption of the New Mexico "No Behavioral Health Cost-Sharing" law.

State policymakers have long sought to improve access to mental health and substance use disorder (MH/SUD) treatment through insurance market reforms. Examining decisions made by innovative policymakers ("policy entrepreneurs") can inform the potential scope and limits of legislative reform. Beginning in 2022, New Mexico became the first state to eliminate cost-sharing for MH/SUD treatment in private insurance plans subject to state regulation. Based on key informant interviews (n = 30), this study recounts the law's passage and intended impact. Key facilitators to the law's passage included receptive leadership, legislative champions with medical and insurance backgrounds, the use of local research evidence, advocate testimony, support from health industry figures, the severity of MH/SUD, and increased attention to MH/SUD during the COVID-19 pandemic. Findings have important implications for states considering similar laws to improve access to MH/SUD treatment.

Composition of buprenorphine prescribing networks in Medicaid and association with quality of care.

INTRODUCTION: Despite Medicaid's outsized role in delivering and financing medications for opioid use disorder (MOUD), little is known about the extent to which buprenorphine prescriber networks vary across Medicaid health plans, and whether network characteristics affect quality of treatment received. In this observational cross-sectional study, we used 2018-2019 Medicaid claims in Oregon to assess network variation in the numbers and types of buprenorphine prescribers, as well as the association of prescriber and network characteristics with quality of care. METHODS: We describe prescribers (MD/DOs and advanced practice providers) of OUD-approved buprenorphine formulations to patients with an OUD diagnosis, across networks. For each patient who initiated buprenorphine treatment during 2018, we assigned a "usual prescriber" and assessed four measures of quality in the 180d following initiation: 1) continuous receipt of buprenorphine; 2) receipt of any behavioral health counseling services; 3) receipt of any urine drug screen; and 4) receipt of any prescription for a benzodiazepine. We used multivariable linear regressions to examine the association of prescriber and network characteristics with quality of buprenorphine care following initiation. RESULTS: We identified 645 providers who prescribed buprenorphine to 20,739 eligible Medicaid enrollees with an OUD diagnosis. The composition of buprenorphine prescriber networks varied in terms of licensing type, specialty, and panel size, with the majority of prescribers providing buprenorphine to small panels of patients. In the 180 days following initiation, a third of patients were maintained on buprenorphine; 69.9 % received behavioral health counseling; 88.4 % had a urine drug screen; and 11.3 % received a benzodiazepine prescription. In regression analyses, while no single network characteristic was associated with higher quality across all examined measures, each one unit increase in prescriber-to-enrollee ratio was associated with a 1.18 p.p. increase in the probability of continuous buprenorphine maintenance during the 180 days following initiation (95 % confidence interval = [0.21, 2.15], p = 0.017). CONCLUSIONS: Medicaid plans may be able to leverage their networks to provide higher quality care. Our findings, which should be interpreted as descriptive only, suggest that higher prescriber-to-enrollee ratio is associated with increased buprenorphine maintenance. Future research should focus on isolating the causal relationships between MOUD prescribing network design and patient outcomes.

Growing importance of high-volume buprenorphine prescribers in OUD treatment: 2009-2018.

BACKGROUND: We examined the number and characteristics of high-volume buprenorphine prescribers and the nature of their buprenorphine prescribing from 2009 to 2018. METHODS: In this observational cohort study, IQVIA Real World retail pharmacy claims data were used to characterize trends in high-volume buprenorphine prescribers (clinicians with a mean of 30 or more active patients in every month that they were an active prescriber) during 2009-2018. Very high-volume prescribing (mean of 100+ patients per month) was also examined. RESULTS: Overall, 94,491 clinicians prescribed buprenorphine dispensed during 2009-2018. The proportion of active prescribers meeting high-volume criteria increased from 7.4 % in 2009 to 16.7 % in 2018. High-volume prescribers accounted for 80 % of dispensed buprenorphine prescriptions during 2009-2018; very high-volume prescribers accounted for 26 %. Adult primary care physicians consistently comprised the majority of high-volume prescribers. Addiction specialists were much more likely to be high-volume prescribers compared to other specialties, including psychiatrists and pain specialists. By 2018, the proportion of prescriptions from high-volume prescribers paid by Medicaid had doubled to 40 %, accompanied by a decline in both self-pay and commercial insurance. High-volume prescribers were overwhelmingly concentrated in urban counties with the highest fatal overdose rates. In 2018, the highest density of high-volume prescribers was in New England and the mid-Atlantic region. CONCLUSIONS: Growth in high-volume prescribers outpaced the overall growth in buprenorphine prescribers across 2009-2018. High-volume prescribers play an increasingly central role in providing medication for OUD in the U.S., yet results indicate key regional variation in the availability of high-volume buprenorphine prescribers.

Prescription Drug Dispensing and Patient Costs After Implementation of a No Behavioral Health Cost-Sharing Law.

Importance: On January 1, 2022, New Mexico implemented a No Behavioral Cost-Sharing (NCS) law that eliminated cost-sharing for mental health and substance use disorder (MH/SUD) treatments in plans regulated by the state, potentially reducing a barrier to treatment for MH/SUDs among the commercially insured; however, the outcomes of the law are unknown. Objective: To assess the association of implementation of the NCS with out-of-pocket spending for prescription for drugs primarily used to treat MH/SUDs and monthly volume of dispensed drugs. Design, Settings, and Participants: This retrospective cohort study used a difference-in-differences research design to examine trends in outcomes for New Mexico state employees, a population affected by the NCS, compared with federal employees in New Mexico who were unaffected by NCS. Data were collected on prescription drugs for MH/SUDs dispensed per month between January 2021 and June 2022 for New Mexico patients with a New Mexico state employee health plan and New Mexico patients with a federal employee health plan. Data analysis occurred from December 2022 to January 2024. Exposure: Enrollment in a state employee health plan or federal health plan. Main Outcomes and Measures: The primary outcomes were mean patient out-of-pocket spending per dispensed MH/SUD prescription and the monthly volume of dispensed MH/SUD prescriptions per 1000 employees. A difference-in-differences estimation approach was used. Results: The implementation of the NCS law was associated with a mean (SE) $6.37 ($0.30) reduction (corresponding to an 85.6% decrease) in mean out-of-pocket spending per dispensed MH/SUD medication (95% CI, -$7.00 to -$5.75). The association of implementation of NCS with the volume of prescriptions dispensed was not statistically significant. Conclusions and Relevance: These findings suggest that the implementation of the New Mexico NCS law was successful in lowering out-of-pocket spending on prescription medications for MH/SUDs, but that there was no association of NCS with the volume of medications dispensed in the first 6 months after implementation. A key challenge is to identify policies that protect from high out-of-pocket spending while also promoting access to needed care.

Drug-related physician continuing medical education requirements, 2010-2020.

INTRODUCTION: The crisis of drug-related harm in the United States continues to worsen. While prescription-related overdoses have fallen dramatically, they are still far above pre-2010 levels. Physicians can reduce the risk of overdose and other drug-related harms by improving opioid prescribing practices and ensuring that patients are able to easily access medications for substance use disorder treatment. Most physicians received little or no training in those subjects in medical school. It is possible that continuing medical education can improve physician knowledge of appropriate prescribing and substance use disorder treatment and patient outcomes. METHODS: Descriptive legal review. Laws in all 50 states and the District of Columbia were searched for provisions that require all or most physicians to receive either one-time or continuing medical education regarding controlled substance prescribing, pain management, or substance use disorder treatment. RESULTS: There has been a rapid increase in the number of states with relevant requirements, from three states at the end of 2010 to 42 at the end of 2020. The frequency and duration of required education varied substantially across states. In all states, the number of hours required in relevant topics is a small fraction of overall required continuing education, an average of 1 h per year. Despite recent shifts in the substances driving overdose, most requirements remain focused on opioids. CONCLUSION: While most states have now adopted continuing education requirements regarding controlled substance prescribing, pain management, or substance use disorder treatment, these requirements comprise a small component of the required post-training education requirements. Research is needed to determine whether this training translates into reductions in drug-related harm.

Utilization of Medications for Opioid Use Disorder Among West Virginia Medicaid Enrollees Following Medicaid Coverage of Methadone.

BACKGROUND: West Virginia entered an institution for mental disease Section 1115 waiver with the Centers for Medicare & Medicaid Services in 2018, which allowed Medicaid to cover methadone at West Virginia's nine opioid treatment programs (OTPs) for the first time. METHODS: We conducted time trend and geospatial analyses of Medicaid enrollees between 2016 and 2019 to examine medications for opioid use disorder utilization patterns following Medicaid coverage of methadone, focusing on distance to an OTP as a predictor of initiating methadone and conditional on receiving any, longer treatment duration. RESULTS: Following Medicaid coverage of methadone in 2018, patients receiving methadone comprised 9.5% of all Medicaid enrollees with an opioid use disorder (OUD) diagnosis and 10.6% in 2019 (P < 0.01). In 2018, two-thirds of methadone patients either had no prior OUD diagnosis or were not previously enrolled in Medicaid in our observation period. Patients residing within 20 miles of an OTP were more likely to receive methadone (marginal effect [ME]: -0.041, P < 0.001). Similarly, patients residing in metropolitan areas were more likely to receive treatment than those residing in nonmetropolitan areas (ME: -0.019, P < 0.05). Metropolitan patients traveled an average of 15 miles to an OTP; nonmetropolitan patients traveled more than twice as far (P < 0.001). We found no significant association between distance and treatment duration. CONCLUSIONS: West Virginia Medicaid's new methadone coverage was associated with an influx of new enrollees with OUD, many of whom had no previous OUD diagnosis or prior Medicaid enrollment. Methadone patients frequently traveled far distances for treatment, suggesting that the state needs additional OTPs and innovative methadone delivery models to improve availability.

A Systematic Review of State Office-Based Buprenorphine Treatment Laws Effective During 2022: Counseling, Dosage, and Visit Frequency Requirements.

BACKGROUND: Buprenorphine is among the most effective treatments for opioid use disorder. Even though the federal government recently eliminated the waiver requirement and patient limits applicable to office-based buprenorphine treatment (OBBT), among other settings, some states may still have policies imposing requirements on OBBT providers not required by federal law. METHODS: We collected statutes and regulations from 50 US states and the District of Columbia (ie, 51 jurisdictions) between August 11 and November 30, 2022 using the Nexis Uni legal database and search terms related to OBBT counseling, dosage, and/or frequency of visits. We then used template analysis, a mixed deductive-inductive qualitative method, to analyze legal content. RESULTS: Ten jurisdictions (20%) in 2022 had an OBBT counseling, dosage, and/or visit frequency requirement. Four jurisdictions had at least one law in each OBBT policy category examined. One-fifth of jurisdictions have OBBT policies not required under federal law. Five of these jurisdictions are among those with the highest overdose death rates per capita, according to publicly available data from 2021. Some OBBT requirements could potentially limit clinician interest in offering buprenorphine treatment or result in inadequate care (eg, if dosage limitations are too low.). CONCLUSIONS: Even though a federal waiver is no longer required for OBBT, our results suggests that at least some jurisdictions have other OBBT requirements, such as counseling, dosage, and/or frequency requirements. Given the severity of the ongoing opioid overdose crisis, policymakers should carefully consider the extent to which OBBT requirements are evidence based.

Expert Views on State Policies to Improve Engagement and Retention in Treatment for Opioid Use Disorder: A Qualitative Analysis of an Online Modified Delphi Process.

OBJECTIVES: The aim of this study was to examine expert views on the effectiveness and implementability of state policies to improve engagement and retention in treatment for opioid use disorder (OUD). METHODS: We conducted a 3-round modified Delphi process using the online ExpertLens platform. Participants included 66 experts on OUD treatment policies. Experts commented on 14 hypothetical state policies targeting treatment engagement and quality of care. Using the GRADE Evidence-to-Decision framework, we conducted reflexive thematic analysis to develop patterns of meaning from the dataset. RESULTS: Only policies for providing continued access to evidence-based treatment for highly at-risk populations, settings, and periods were seen as effective in meaningfully reducing population-level opioid-related overdose mortality. Experts commented that, although the general public increasingly supports policies expanding medications for OUD and evidence-based care, ongoing stigma about OUD encourages public acceptance of punitive and paternalistic policies. Experts viewed all policies as at least moderately feasible given the current infrastructure and resources, with affordability reliant on long-term cost savings from reduced opioid-related harms. Equitability depended on whether experts perceived a policy as inherently equitable in its design as well as concerns about the potential for inequitable implementation due to structural oppression and interpersonal biases in criminal-legal, healthcare, and other systems. CONCLUSIONS: Experts believe that supportive (rather than punitive) policies improve engagement and retention in OUD treatment. States could prioritize implementing supportive policies that are patient-centered and take a harm-reduction approach to enhance medications for OUD access and utilization. States could consider deimplementing punitive policies that are coercive, take an abstinence-only approach, and use punitive and restrictive measures.

Trends and Disparities in Perinatal Opioid Use Disorder Treatment in Medicaid, 2007-2012.

We described Medicaid-insured women by receipt of perinatal opioid use disorder (OUD) treatment; and trends and disparities in treatment. Using 2007 to 2012 Medicaid Analytic eXtract data from 45 states and D.C., we identified deliveries among women with OUD. Regressions modeled the association between patient characteristics and receipt of any OUD treatment, medication for OUD (MOUD), and counseling alone during the perinatal period. Rates of any OUD treatment and MOUD for women with perinatal OUD increased over the study period, but trends differed by subgroup. Compared with non-Hispanic White women, Black and American Indian/Alaskan Native (AI/AN) women were less likely to receive any OUD treatment, and Black women were less likely to receive MOUD. Over time, the disparity in receipt of MOUD between Black and White women increased. Overall gains in OUD treatment were driven by improvements in perinatal OUD care for White women and obscured disparities for Black and AI/AN women.

Disparities in Perinatal and Emergency Care Receipt Among Women With Perinatal Opioid Use Disorder in Medicaid, 2007 to 2012.

OBJECTIVES: This study aimed to better understand receipt of perinatal and emergency care among women with perinatal opioid use disorder (OUD) and explore variation by race/ethnicity. METHODS: We used 2007-2012 Medicaid Analytic eXtract (MAX) data from all 50 states and the District of Columbia to examine 6,823,471 deliveries for women 18 to 44 years old. Logistic regressions modeled the association between (1) OUD status and receipt of perinatal and emergency care, and (2) receipt of perinatal and emergency care and race/ethnicity, conditional on OUD diagnosis and controlling for patient and county characteristics. We used robust SEs, clustered at the individual level, and included state and year fixed effects. RESULTS: Women with perinatal OUD were less likely to receive adequate prenatal care (adjusted odds ratio [aOR], 0.45; 95% confidence interval [CI], 0.44-0.46) and attend the postpartum visit (aOR, 0.46; 95% CI, 0.45-0.47) and more likely to seek emergency care (aOR, 1.48; 95% CI, 1.45-1.51) than women without perinatal OUD. Among women with perinatal OUD, Black, Hispanic, and American Indian and Alaskan Native (AI/AN) women were less likely to receive adequate prenatal care (aOR, 0.68 [95% CI, 0.64-0.72]; aOR, 0.86 [95% CI, 0.80-0.92]; aOR, 0.71 [95% CI, 0.64-0.79]) and attend the postpartum visit (aOR, 0.85 [95% CI, 0.80-0.91]; aOR, 0.86 [95% CI, 0.80-0.93]; aOR, 0.83 [95% CI, 0.73-0.94]) relative to non-Hispanic White women. Black and AI/AN women were also more likely to receive emergency care (aOR, 1.13 [95% CI, 1.05-1.20]; aOR, 1.12 [95% CI, 1.00-1.26]). CONCLUSIONS: Our findings suggest that women with perinatal OUD, in particular Black, Hispanic, and AI/AN women, may be missing opportunities for preventive care and comprehensive management of their physical and behavioral health during pregnancy.

Insurance coverage during transitions: Evidence from Medicaid automatic enrollment for children receiving supplemental security income.

OBJECTIVES: To analyze relationships between Medicaid automatic enrollment for child Supplemental Security Income (SSI) recipients and health insurance coverage during transitions. DATA SOURCES AND STUDY SETTING: Medical Expenditure Panel Study, 2000-2020 and National Survey for Children with Special Health Care Needs, 2001-2010. STUDY DESIGN: Leveraging variation in SSI-Medicaid automatic enrollment status across regions and over time, we estimate a regression model to quantify associations between automatic enrollment and insurance coverage. We validate our findings in the NS-CSHCN. DATA COLLECTION: Our sample includes children receiving SSI for a disability. We also analyze a subsample of children newly enrolled in SSI. PRINCIPAL FINDINGS: Automatic enrollment is associated with a statistically significant increase in insurance coverage. Expanding automatic enrollment to all states is associated with increases in Medicaid enrollment of 3% (CI 0.9%-6.7%) among all SSI children and 7% (CI 1.1%-13.9%) among children newly enrolled in SSI. We find similar decreases in uninsurance. Analysis in the NS-CSHCN replicates these findings. CONCLUSIONS: Medicaid automatic enrollment policies are associated with increased insurance coverage for SSI children, particularly those transitioning into the program. Medicaid policy defaults could play an important role in reducing administrative burdens to improve children's coverage and access to care.

Differences in medicaid expansion effects on buprenorphine treatment utilization by county rurality and income: A pharmacy data claims analysis from 2009-2018.

Background: Although use of buprenorphine for treating opioid use disorder increased over the past decade, buprenorphine utilization remains limited in lower-income and rural areas. We examine how the Affordable Care Act Medicaid expansion influenced buprenorphine initiation rates by county income and evaluate how associations differ by county rural-urban status. Methods: This study used nationwide 2009-2018 IQVIA retail pharmacy data and a comparative interrupted time series framework-a hybrid framework combining regression discontinuity and difference-in-difference approaches. We used piecewise linear estimation to quantify changes in buprenorphine initiation rates before and after Medicaid expansion. Results: The sample included observations from 376,704 county-months. We identified 5,227,340 new buprenorphine treatment episodes, with an average of 9.2 new buprenorphine episodes per month per 100,000 county residents. Among urban counties, those with the lowest median incomes experienced significantly larger increases in buprenorphine initiation rates associated with Medicaid expansion than counties with higher median incomes (5-year rates difference est=3525.3, se=1695.3, p = 0.04). However, among rural counties, there was no significant association between buprenorphine initiation rates and county median income after Medicaid expansion (5-year rates difference est=979.0, se=915.8, p = 0.29). Conclusions: Medicaid expansion was associated with a reduction in income-related buprenorphine disparities in urban counties, but not in rural counties. To achieve more equitable buprenorphine access, future policies should target low-income rural areas.

Will the End of the X-Waiver Expand Access to Buprenorphine Treatment? Achieving the Full Potential of the 2023 Consolidated Appropriations Act.

The 2023 Consolidated Appropriations Act repealed the special waiver for prescribing buprenorphine to patients with opioid use disorder, a bipartisan goal long sought by advocates. The change has symbolic importance in recognizing that buprenorphine is a mainstream medical treatment. We argue that the maximum potential of the law can be achieved by addressing three bottlenecks. First, it is important that new training requirements for all controlled substances prescribers be grounded in scientific principles of addiction treatment and are robustly evaluated to ensure they meet quality standards. Second, even with the elimination of the waiver, there are potential constraints from state law such as state-specific requirements that practitioners require counseling or obtain a separate credential, and many states also have limiting scope of practice regulations. We recommend that these requirements are eased wherever possible to improve treatment access. Third, it is critical to build onramps to treatment in settings such as primary care, hospitals, and correctional facilities. While we anticipate that buprenorphine prescribing will primarily occur in high-volume practices, there is the potential to activate a broader workforce to serve as entry points to care. We conclude that the stage is set for significant increases in lifesaving treatment but the difficult task ahead is ensuring that the resources and training are available to build strong capacity.

Mental Health Outcomes Among Patients Living in US Counties Lacking Broadband Access and Psychiatrists.

This cross-sectional study identifies the prevalence of counties without psychiatrists and broadband coverage, describes their sociodemographic characteristics, and quantifies their mental health outcomes.

Identifying Optimal Methods for Addressing Confounding Bias When Estimating the Effects of State-level Policies.

BACKGROUND: Policy evaluation studies that assess how state-level policies affect health-related outcomes are foundational to health and social policy research. The relative ability of newer analytic methods to address confounding, a key source of bias in observational studies, has not been closely examined. METHODS: We conducted a simulation study to examine how differing magnitudes of confounding affected the performance of 4 methods used for policy evaluations: (1) the two-way fixed effects difference-in-differences model; (2) a 1-period lagged autoregressive model; (3) augmented synthetic control method; and (4) the doubly robust difference-in-differences approach with multiple time periods from Callaway-Sant'Anna. We simulated our data to have staggered policy adoption and multiple confounding scenarios (i.e., varying the magnitude and nature of confounding relationships). RESULTS: Bias increased for each method: (1) as confounding magnitude increases; (2) when confounding is generated with respect to prior outcome trends (rather than levels), and (3) when confounding associations are nonlinear (rather than linear). The autoregressive model and augmented synthetic control method had notably lower root mean squared error than the two-way fixed effects and Callaway-Sant'Anna approaches for all scenarios; the exception is nonlinear confounding by prior trends, where Callaway-Sant'Anna excels. Coverage rates were unreasonably high for the augmented synthetic control method (e.g., 100%), reflecting large model-based standard errors and wide confidence intervals in practice. CONCLUSIONS: In our simulation study, no single method consistently outperformed the others, but a researcher's toolkit should include all methodologic options. Our simulations and associated R package can help researchers choose the most appropriate approach for their data.

How are state telehealth policies associated with services offered by substance use disorder treatment facilities? Evidence from 2019 to 2022.

BACKGROUND: The COVID-19 pandemic led several states to adopt policies permitting the delivery of substance use disorder treatment (SUDT) by telehealth. We assess the impact of state-level telehealth policies in 2020 that specifically permitted audio or audiovisual forms of telehealth offerings among SUDT facilities. PROCEDURE: Cross-sectional analysis of secondary data from between 2019 and 2022. Pre-pandemic, federal law permitted states to allow audiovisual telehealth modes for SUDT to a limited extent. 2020 laws permitted states to allow audio-only modes for the first time and strengthened ability to offer audiovisual modes. We compared national SUDT facility self-reported telehealth offerings in 2020 and beyond to 2019, in states that in 2020 had policies permitting audiovisual and audio only, compared to other states. MAIN FINDINGS: Among outpatient SUDT facilities (n = 5227) present in all four years of our data, the proportion offering telehealth increased from 18% (n = 921) in 2019-26% in 2020, 60% in 2021, and 79% in 2022. We estimate an audiovisual and audio only policy in 2020 was associated with an increase in telehealth offering rates in 2022 of +16.5% points (pp) (95% CI [+10.4,+22.6]) compared to the rates in states with no such listed policy. There was little evidence of an influence on telehealth offering in 2020 (-2.9 pp, CI [-9.0,+3.2]) and 2021 (+0.6 pp, CI [-5.5,+6.7]). CONCLUSIONS: The enactment of state-level telehealth policies that allow audio and audiovisual modalities may have increased SUDT facilities' likelihood of offering telehealth services two years after enactment.

America's Opioid Ecosystem: How Leveraging System Interactions Can Help Curb Addiction, Overdose, and Other Harms.

Opioids play an outsized role in America's drug problems, but they also play a critically important role in medicine. Thus, they deserve special attention. Illegally manufactured opioids (such as fentanyl) are involved in a majority of U.S. drug overdoses, but the problems are broader and deeper than drug fatalities. Depending on the drugs involved, there can be myriad physical and mental health consequences associated with having a substance use disorder. And it is not just those using drugs who suffer. Substance use and related behaviors can significantly affect individuals' families, friends, employers, and wider communities. Efforts to address problems related to opioids are insufficient and sometimes contradictory. Researchers provide a nuanced assessment of America's opioid ecosystem, highlighting how leveraging system interactions can reduce addiction, overdose, suffering, and other harms. At the core of the opioid ecosystem are the individuals who use opioids and their families. Researchers also include detail on ten major components of the opioid ecosystem: substance use disorder treatment, harm reduction, medical care, the criminal legal system, illegal supply and supply control, first responders, the child welfare system, income support and homeless services, employment, and education. The primary audience for this study is policymakers, but it should also be useful for foundations looking for opportunities to create change that have often been overlooked. This study can help researchers better consider the full consequences of policy changes and help members of the media identify the dynamics of interactions that deserve more attention.