Identifying the Heterogeneity in the Association between Workforce Diversity and Retention in Opioid Treatment among Black clients.

Background: This study investigates the impact of workforce diversity, specifically staff identified as Black/African American, on retention in opioid use disorder (OUD) treatment, aiming to enhance patient outcomes. Employing a novel machine learning technique known as 'causal forest,' we explore heterogeneous treatment effects on retention. Methods: We relied on four waves of the National Drug Abuse Treatment System Survey (NDATSS), a nationally representative longitudinal dataset of treatment programs. We analyzed OUD program data from the years 2000, 2005, 2014 and 2017 (n = 627). Employing the 'causal forest' method, we analyzed the heterogeneity in the relationship between workforce diversity and retention in OUD treatment. Interviews with program directors and clinical supervisors provided the data for this study. Results: The results reveal diversity-related variations in the association with retention across 61 out of 627 OUD treatment programs (less than 10%). These programs, associated with positive impacts of workforce diversity, were more likely private-for-profit, newer, had lower percentages of Black and Latino clients, lower staff-to-client ratios, higher proportions of staff with graduate degrees, and lower percentages of unemployed clients. Conclusions: While workforce diversity is crucial, our findings underscore that it alone is insufficient for improving retention in addiction health services research. Programs with characteristics typically linked to positive outcomes are better positioned to maximize the benefits of a diverse workforce in client retention. This research has implications for policy and program design, guiding decisions on resource allocation and workforce diversity to enhance retention rates among Black clients with OUDs.

Innovation in the Delivery of Behavioral Health Services.

Several factors motivate the need for innovation to improve the delivery of behavioral health services, including increased rates of mental health and substance use disorders, limited access to services, inconsistent use of evidence-based practices, and persistent racial and ethnic disparities. This narrative review identifies promising innovations that address these challenges, assesses empirical evidence for the effectiveness of these innovations and the extent to which they have been adopted and implemented, and suggests next steps for research. We review five categories of innovations: organizational models, including a range of novel locations for providing services and new ways of organizing services within and across sites; information and communication technologies; workforce; treatment technologies; and policy and regulatory changes. We conclude by discussing the need to strengthen and accelerate the contributions of implementation science to close the gap between the launch of innovative behavioral health services and their widespread use. Expected final online publication date for the Annual Review of Public Health, Volume 45 is April 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

Health Systems and Social Services-A Bridge Too Far?

This JAMA Forum argues that hospitals and health systems should not take the lead in programs to address social determinants of health and provides examples and reasons why.

Clinics Optimizing MEthadone Take-homes for opioid use disorder (COMET): Protocol for a stepped-wedge randomized trial to facilitate clinic level changes.

INTRODUCTION: Regulatory changes made during the COVID-19 public health emergency (PHE) that relaxed criteria for take-home dosing (THD) of methadone offer an opportunity to improve quality of care with a lifesaving treatment. There is a pressing need for research to study the long-term effects of the new PHE THD rules and to test data-driven interventions to promote more effective adoption by opioid treatment programs (OTPs). We propose a two-phase project to develop and test a multidimensional intervention for OTPs that leverages information from large State administrative data. METHODS AND ANALYSIS: We propose a two-phased project to develop then test a multidimensional OTP intervention to address clinical decision making, regulatory confusion, legal liability concerns, capacity for clinical practice change, and financial barriers to THD. The intervention will include OTP THD specific dashboards drawn from multiple State databases. The approach will be informed by the Health Equity Implementation Framework (HEIF). In phase 1, we will employ an explanatory sequential mixed methods design to combine analysis of large state administrative databases-Medicaid, treatment registry, THD reporting-with qualitative interviews to develop and refine the intervention. In phase 2, we will conduct a stepped-wedge trial over three years with 36 OTPs randomized to 6 cohorts of a six-month clinic-level intervention. The trial will test intervention effects on OTP-level implementation outcomes and patient outcomes (1) THD use; 2) retention in care; and 3) adverse healthcare events). We will specifically examine intervention effects for Black and Latinx clients. A concurrent triangulation mixed methods design will be used: quantitative and qualitative data collection will occur concurrently and results will be integrated after analysis of each. We will employ generalized linear mixed models (GLMMs) in the analysis of stepped-wedge trials. The primary outcome will be weekly or greater THD. The semi-structured interviews will be transcribed and analyzed with Dedoose to identify key facilitators, barriers, and experiences according to HEIF constructs using directed content analysis. DISCUSSION: This multi-phase, embedded mixed methods project addresses a critical need to support long-term practice changes in methadone treatment for opioid use disorder following systemic changes emerging from the PHE-particularly for Black and Latinx individuals with opioid use disorder. By combining findings from analyses of large administrative data with lessons gleaned from qualitative interviews of OTPs that were flexible with THD and those that were not, we will build and test the intervention to coach clinics to increase flexibility with THD. The findings will inform policy at the local and national level.

Variation in Risk-Standardized Acute Admission Rates Among Patients With Heart Failure in Accountable Care Organizations: Implications for Quality Measurement.

Background Accountable care organizations (ACOs) aim to improve health care quality and reduce costs, including among patients with heart failure (HF). However, variation across ACOs in admission rates for patients with HF and associated factors are not well described. Methods and Results We identified Medicare fee-for-service beneficiaries with HF who were assigned to a Medicare Shared Savings Program ACO in 2017 and survived ≥30 days into 2018. We calculated risk-standardized acute admission rates across ACOs, assigned ACOs to 1 of 3 performance categories, and examined associations between ACO characteristics and performance categories. Among 1 232 222 beneficiaries with HF, 283 795 (mean age, 81 years; 54% women; 86% White; 78% urban) were assigned to 1 of 467 Medicare Shared Savings Program ACOs. Across ACOs, the median risk-standardized acute admission rate was 87 admissions per 100 people, ranging from 61 (minimum) to 109 (maximum) admissions per 100 beneficiaries. Compared to the overall average, 13% of ACOs performed better on risk-standardized acute admission rates, 72% were no different, and 14% performed worse. Most ACOs with better performance had fewer Black beneficiaries and were not hospital affiliated. Most ACOs that performed worse than average were large, located in the Northeast, had a hospital affiliation, and had a lower proportion of primary care providers. Conclusions Admissions are common among beneficiaries with HF in ACOs, and there is variation in risk-standardized acute admission rates across ACOs. ACO performance was associated with certain ACO characteristics. Future studies should attempt to elucidate the relationship between ACO structure and characteristics and admission risk.

Internal and Environmental Predictors of Physician Practice Use of Screening and Medications for Opioid Use Disorders.

Medications for opioid use disorder (MOUD) remain highly inaccessible despite demonstrated effectiveness. We examine the extent of screening for opioid use and availability of MOUD in a national cross-section of multi-physician primary care and multispecialty practices. Drawing on an existing framework to characterize the internal and environmental context, we assess socio-technical, organizational-managerial, market-based, and state-regulation factors associated with the use of opioid screening and offering of MOUD in a practice. A total of 26.2% of practices offered MOUD, while 69.4% of practices screened for opioid use. Having advanced health information technology functionality was positively associated with both screening for opioid use and offering MOUD in a practice, while access to on-site behavioral clinicians was positively associated with offering MOUD in adjusted models. These results suggest that improving access to information and expertise may enable physician practices to respond more effectively to the nation's ongoing opioid epidemic.

Predicting and responding to change: Perceived environmental uncertainty among substance use disorder treatment programs.

INTRODUCTION: Substance use disorder (SUD) treatment programs offering addiction health services (AHS) must be prepared to adapt to change in their operating environment. These environmental uncertainties may have implications for service delivery, and ultimately patient outcomes. To adapt to a multitude of environmental uncertainties, treatment programs must be prepared to predict and respond to change. Yet, research on treatment programs preparedness for change is sparse. We examined reported difficulties in predicting and responding to changes in the AHS system, and factors associated with these outcomes. METHODS: Cross-sectional surveys of SUD treatment programs in the United States in 2014 and 2017. We used linear and ordered logistic regression to examine associations between key independent variables (e.g., program, staff, and client characteristics) and four outcomes, (1) reported difficulties in predicting change, (2) predicting effect of change on organization, (3) responding to change, and (4) predicting changes to make to respond to environmental uncertainties. Data were collected through telephone surveys. RESULTS: The proportion of SUD treatment programs reporting difficulty predicting and responding to changes in the AHS system decreased from 2014 to 2017. However, a considerable proportion still reported difficulty in 2017. We identified that different organizational characteristics are associated with their reported ability to predict or respond to environmental uncertainty. Findings show that predicting change is significantly associated with program characteristics only, while predicting effect of change on organizations is associated with program and staff characteristics. Deciding how to respond to change is associated with program, staff, and client characteristics, while predicting changes to make to respond is associated with staff characteristics only. CONCLUSIONS: Although treatment programs reported decreased difficulty predicting and responding to changes, our findings identify program characteristics and attributes that could better position programs with the foresight to more effectively predict and respond to uncertainties. Given resource constraints at multiple levels in treatment programs, this knowledge might help identify and optimize aspects of programs to intervene upon to enhance their adaptability to change. These efforts may positively influences processes or care delivery, and ultimately translate into improvements in patient outcomes.

Factors associated with the adoption of evidence-based innovations by substance use disorder treatment organizations: A study of HIV testing.

INTRODUCTION: Though prior research shows that a range of important regulatory, market, community, and organizational factors influence the adoption of evidence-based practices (EBPs) among health care organizations, we have little understanding of how these factors relate to each other. To address this gap, we test a conceptual model that emphasizes indirect, mediated effects among key factors related to HIV testing in substance use disorder treatment organizations (SUTs), a critical EBP during the US opioid epidemic. METHODS: We draw on nationally representative data from the 2014 (n = 697) and 2017 (n = 657) National Drug Abuse Treatment System Survey (NDATSS) to measure the adoption of HIV testing among the nation's SUTs and their key organizational characteristics; we also draw on data from the US Census Bureau; Centers for Disease Control; and legislative sources to measure regulatory and community environments. We estimate cross-sectional and longitudinal structural equation models (SEM) to test the proposed model. RESULTS: Our longitudinal model of the adoption of HIV testing by SUTs in the United States identifies a pathway by which community and market characteristics (rurality and the number of other SUTs in the area) are related to key sociotechnical characteristics of these organizations (alignment of clients, staff, and harm-reduction culture) that, in turn, are related to the adoption of this EBP. CONCLUSIONS: Results also show the importance of developing conceptual models that include indirect effects to account for organizational adoption of EBPs.

Workforce Diversity and disparities in wait time and retention among opioid treatment programs.

BACKGROUND: Workforce diversity is a key strategy to improve treatment engagement among members of racial and ethnic minority groups. In this study, we seek to determine whether workforce diversity plays a role in reducing racial and ethnic differences in wait time to treatment entry and retention in different types of opioid use disorder treatment programs. METHODS: We conducted comparative and predictive analysis in a subsample of outpatient opioid treatment programs (OTPs), who completed access and retention survey questions in four waves of the National Drug Abuse Treatment System Survey (162 OTPs in 2000, 173 OTPs in 2005, 282 OTPs in 2014, and 300 OTPs in 2017). We sought to assess the associations between workforce diversity on wait time and retention, accounting for the role of Medicaid expansion and the moderating role of program ownership type (i.e., public, non-profit, for-profit) among OTPs located across the United States. RESULTS: We found significant differences in wait time to treatment entry and retention in treatment across waves. Average number of waiting days decreased in 2014 and 2017; post Medicaid expansion per the Affordable Care Act, while retention rates varied across years. Key findings show that programs with high diversity, measured by higher percent of African American staff and a higher percent of African American clients, were associated with longer wait times to enter treatment, compared to low diversity programs. Programs with higher percent of Latino staff and a higher percent of Latino clients were associated with lower retention in treatment compared with low diversity programs. However, program ownership type (public, non-profit and for-profit) played a moderating role. Public programs with higher percent of African American staff were associated with lower wait time, while non-profit programs with higher percent of Latino staff were related to higher retention. CONCLUSIONS: Findings show decreases in wait time over the years with significant variation in retention during the same period. Concordance in high workforce and client diversity was associated with higher wait time and lower retention. But these relations inverted (low wait time and high retention) in public and non-profit programs with high staff diversity. Findings have implications for building resources and service capacity among OTPs that serve a higher proportion of minority clients.

Primary Care Nurse Practitioner Work Environments and Hospitalizations and ED Use Among Chronically Ill Medicare Beneficiaries.

BACKGROUND: Nurse practitioners (NPs) play a critical role in delivering primary care, particularly to chronically ill elderly. Yet, many NPs practice in poor work environments which may affect patient outcomes. OBJECTIVE: We investigated the relationship between NP work environments in primary care practices and hospitalizations and emergency department (ED) use among chronically ill elderly. RESEARCH DESIGN: We used a cross-sectional design to collect survey data from NPs about their practices. The survey data were merged with Medicare claims data. SUBJECTS: In total, 979 primary care practices employing NPs and delivering care to chronically ill Medicare beneficiaries (n=452,931) from 6 US states were included. MEASURES: NPs completed the Nurse Practitioner-Primary Care Organizational Climate Questionnaire-a valid and reliable measure for work environment. Data on hospitalizations and ED use was obtained from Medicare claims. We used Cox regression models to estimate risk ratios. RESULTS: After controlling for covariates, we found statistically significant associations between practice-level NP work environment and 3 outcomes: Ambulatory Care Sensitive (ACS) ED visits, all-cause ED visits, and all-cause hospitalizations. With a 1-unit increase in the work environment score, the risk of an ACS-ED visit decreased by 4.4% [risk ratio (RR)=0.956; 99% confidence interval (CI): 0.918-0.995; P=0.004], an ED visit by 3.5% (RR=0.965; 99% CI: 0.933-0.997; P=0.005), and a hospitalization by 4.0% (RR=0.960;99% CI: 0.928-0.993; P=0.002). There was no relationship between NP work environment and ACS hospitalizations. CONCLUSION: Favorable NP work environments are associated with lower hospital and ED utilization. Practice managers should focus on NP work environments in quality improvement strategies.

Methodology for a six-state survey of primary care nurse practitioners.

BACKGROUND: Primary care practices employing nurse practitioners (NPs) can play an important role in improving access to high quality health care services. However, most studies on the NP role in health care use administrative data, which have many limitations. PURPOSE: In this paper, we report the methods of the largest survey of primary care NPs to date. METHODS: To overcome the limitations of administrative data, we fielded a cross-sectional, mixed-mode (mail/online) survey of primary care NPs in six states to collect data directly from NPs on their clinical roles and practice environments. FINDINGS: While we were able to collect data from over 1,200 NPs, we encountered several challenges with our sampling frame, including provider turnover and challenges with identification of NP specialty. DISCUSSION: In future surveys, researchers can employ strategies to avoid the issues we encountered with the sampling frame and enhance large scale survey data collection from NPs.

Critical issues in alliances between management partners and accountable care organizations.

BACKGROUND: Despite widespread engagement of accountable care organizations (ACOs) with management partners, little empirical evidence on these alliances exists to inform policymakers or payers. Management partners may be providing a valuable service in facilitating the transition to population health management. Alternately, in some cases, partners may be receiving high fees relative to the value of services provided. PURPOSE: The aim of this study was to use qualitative data to identify motivations for and critical issues in alliances between ACOs and management partners. METHODOLOGY/APPROACH: We used qualitative data collected from seven ACOs (193 semistructured interviews and observational data from 12 site visits) to characterize the alliances between management partners and providers in ACOs. RESULTS: We found that ACOs sought partners to provide financing, technical expertise, and risk bearing. Tensions in partnerships arose around resources (e.g., delivery on promised resources), control (e.g., who holds decision making authority), and values (e.g., commitment to safety net mission). Some partnerships persisted, whereas others dissolved. We found that there are two different underlying models of ACO-management partner alliances in our sample: (1) short-term partnerships aimed at organizational learning and (2) long-term partnerships based on complementarity. CONCLUSION: Our results demonstrate how ACO alliances with management partners have unfolded as a kind of natural experiment in value-based payment reform. We expect that there is wide variation in quality, expertise, and delivery by management partners. Now multiple years into many of these alliances, we may address their value, strengths, and weaknesses from the perspective of providers as well as policy makers and payers. PRACTICE IMPLICATIONS: Accountable care organization providers must determine whether a management partner is the best solution to the challenges they face and, if so, which alliance model to pursue. Policymakers and payers should consider short- and long-term implications of ACO-management partner alliances, including considering changing the regulatory environment.

Patient-centered care's relationship with substance use disorder treatment utilization.

BACKGROUND: Calls for more patient-centered care are growing in the substance use disorder (SUD) treatment field. However, evidence is sparse regarding whether patient-centered care improves access to, or utilization of, effective treatment services. METHODS: Using nationally representative survey data from SUD treatment clinics in the United States, we examine the association between patient-centered clinical care and the utilization of six services: methadone, buprenorphine, behavioral treatment, routine medical care, HIV testing, and suicide prevention counseling. We measured clinics' practice of and emphasis on patient-centered care with two variables: (1) whether the clinic regularly invites patients into clinical decision-making processes, and (2) whether supervisors believe in patient-centered healthcare and shared decision-making practices within their clinics. RESULTS: In 2017, only 23% of SUD treatment clinics regularly invited patients into care decision-making meetings when their cases were discussed. A composite variable captured clinical supervisors' own experience with and expectations for patient-clinician interaction within their clinics (Cronbach's alpha = 0.79). Results from regression models that controlled for several organizational and environmental factors show that patient-centered care was independently associated with greater utilization of four of six evidence-based services. CONCLUSIONS: A minority of SUD clinics practice patient-centered healthcare in the United States. Given the connection to evidence-based services, increasing participatory mechanisms in SUD treatment service provision can facilitate patients' access to appropriate and evidence-based services.

Stability in a large drug treatment system: Examining the role of program size and performance on service discontinuation.

BACKGROUND: Little is known about the stability of public drug treatment in the United States to deliver services in an era of expansion of public insurance. Guided by organizational theories, we examined the role of program size, and performance (i.e., rates of treatment initiation and engagement) on discontinuing services in one of the largest treatment systems in the United States. METHODS: This study relied on multi-year (2006-2014) administrative data of 249,029 treatment admission episodes from 482 treatment programs in Los Angeles County, CA. We relied on survival regression analysis to identify associations between program size, treatment initiation (wait time) and engagement (retention and completion rates) and discontinuing services in any given year. We examined program differences between discontinued versus sustained services in pre- and post-expansion periods. RESULTS: Sixty-two percent of programs discontinued services at some point between 2006 and 2014. Program size and rates of treatment retention were negatively associated with risk of discontinuing services. Proportion of female clients was also negatively associated with risk of discontinuing services. Compared to residential programs, methadone programs were associated with reduced likelihood of discontinuing services. Two interactions were significant; program size and retention rates, as well as program size and completion rates were negatively associated with risk of discontinuing services. CONCLUSIONS: Program size (large), type (methadone), performance (retention) and client population (women) were associated with stability in this drug treatment system. Because more than 70% of programs in this system are small, it is critical to support their capacity to sustain services to reduce existing disparities in access to care. We discuss the implications of these findings for system evaluation and for responding to public health crises.

Bundling Rapid Human Immunodeficiency Virus and Hepatitis C Virus Testing to Increase Receipt of Test Results: A Randomized Trial.

BACKGROUND: The overlapping human immunodeficiency virus (HIV) and hepatitis C virus (HCV) epidemics disproportionately affect people with substance use disorders. However, many people who use substances remain unaware of their infection(s). OBJECTIVE: The objective of this study was to examine the efficacy of an on-site bundled rapid HIV and HCV testing strategy in increasing receipt of both HIV and HCV test results. RESEARCH DESIGN: Two-armed randomized controlled trial in substance use disorder treatment programs (SUDTP) in New York City. Participants in the treatment arm were offered bundled rapid HIV and HCV tests with immediate results on-site. Participants in the control arm were offered the standard of care, that is, referrals to on-site or off-site laboratory-based HIV and HCV testing with delayed results. PARTICIPANTS: A total of 162 clients with unknown or negative HIV and HCV status. MEASURES: The primary outcome was the percentage of participants with self-reported receipt of HIV and HCV test results at 1-month postrandomization. RESULTS: Over half of participants were Hispanic (51.2%), with 25.3% being non-Hispanic black and 17.9% non-Hispanic white. Two thirds were male, and 54.9% reported injection as method of drug use. One hundred thirty-four participants (82.7%) completed the 1-month assessment. Participants in the treatment arm were more likely to report having received both test results than those in the control arm (69% vs. 19%, P<0.001). Seven participants in the treatment arm received a preliminary new HCV diagnosis, versus 1 in the control arm (P=0.029). CONCLUSION: Offering bundled rapid HIV and HCV testing with immediate results on-site in SUDTPs may increase awareness of HIV and HCV infection among people with substance use disorders.

The relationship of Medicaid expansion to psychiatric comorbidity care within substance use disorder treatment programs.

BACKGROUND: Co-occurring mental health disorders are common among substance use disorder (SUD) patients. Medicaid expansion aimed to reduce barriers to SUD and mental health care and thereby improve treatment outcomes. METHODS: We estimated change in the proportion of United States SUD treatment sites offering treatment for psychiatric comorbidities following Medicaid expansion as part of implementation of the Affordable Care Act (ACA) in 2014. Using panel data from the 2013-2014, n = 660, and 2016-2017, n = 638, waves of the National Drug Abuse Treatment System Survey (NDATSS), we estimated change in the proportion of sites offering antidepressant medication, other psychiatric medication, behavioral treatment, or any combination thereof for treatment of mental health comorbidities (i.e., beyond services focused on SUD). We modeled the impact of Medicaid expansion as an interaction between year and date of Medicaid expansion. We constructed a mixed-effects linear regression model for each outcome, with the interaction variable as the main exposure, site as a random effect, and site's average duration of treatment, proportion of clients with psychiatric comorbidities, average caseload per treatment prescribing-clinician on staff, type of facility and geographic region as covariates, to estimate a difference-in-differences (D-I-D) equation. RESULTS: The adjusted D-I-D analysis indicated that the proportion of SUD treatment sites offering antidepressants for psychiatric treatment increased 10% (95% CI 1%, 18%) in the Medicaid expansion sites compared to non-expansion sites. The D-I-D for other psychiatric medications was also 10% (95% 1%, 19%). No significant changes were observed in behavioral treatment or the combination measure. The strongest association between Medicaid expansion and offering medication for mental health comorbidities was the 34% increase observed for residential treatment settings (95% CI 10%, 59%). CONCLUSION: Availability of psychiatric medication treatment in SUD treatment settings increased following Medicaid expansion, particularly in residential SUD facilities. This policy change has facilitated integrated treatment for the substantial share of SUD treatment patients with mental health comorbidities, with the greatest benefit for patients receiving SUD treatment in residential programs.

Medicaid coverage in substance use disorder treatment after the affordable care act.

The Affordable Care Act (ACA) prompted sweeping changes to Medicaid, including expanding insurance coverage to an estimated 12 million previously uninsured Americans, and imposing new parity requirements on benefits for behavioral health services, including substance use disorder treatment. Yet, limited evidence suggests that these changes have reduced the number of uninsured in substance use disorder treatment, or increased access to substance use disorder treatment overall. This study links data from a nationally-representative study of outpatient substance use disorder treatment programs and a unique national survey of state Medicaid programs to capture changes in insurance coverage among substance use disorder treatment patients after ACA implementation. Medicaid expansion was associated with a 15.7-point increase in the percentage of patients insured by Medicaid in substance use disorder treatment programs and a 13.7-point decrease in the percentage uninsured. Restrictions in state Medicaid benefits and utilization policies were associated with a decreased percentage of Medicaid patients in treatment. Moreover, Medicaid expansion was not associated with a change in the total number of clients served over the study period. Our findings highlight the important role Medicaid has played in increasing insurance coverage for substance use disorder treatment.

Sustaining multistakeholder alliances.

BACKGROUND: Multistakeholder alliances that bring together diverse organizations to work on community-level health issues are playing an increasingly prominent role in the U.S. health care system. Yet, these alliances by their nature are fragile. In particular, low barriers to exit make alliances particularly vulnerable to disruption if key stakeholders leave. What factors are linked to the sustainability of alliances? One way to approach this question is to examine the perceptions of alliance participants, whose on-going involvement in alliances likely will matter much to their sustainability. PURPOSE: This study addresses the question: "Under what conditions do participants in alliances consider that their alliances are well positioned for the future, will perform well over time, and will be able to deal effectively with future challenges?" METHODS: We draw on cross-sectional survey data collected in the summer of 2015 from a total number of 638 participants in 15 alliances that participated in the Robert Wood Johnson Foundation's Aligning Forces for Quality program. RESULTS: Results from regression analyses indicate that alliance participants are more likely to view their alliances as sustainable when they (a) share a common vision, goals, and strategies for the alliance and (b) perceive that the alliance has performed effectively in the past. PRACTICE IMPLICATIONS: Leaders of multistakeholder alliances may need to ensure that alliances are collective efforts that build success one step at a time: to the extent that participants believe they share a vision and strategies and have had some prior success working together, the more likely they are to view the alliance as sustainable.

Evidence-based treatment for opioid use disorders: A national study of methadone dose levels, 2011-2017.

The nation's methadone maintenance treatment (MMT) programs play a central role in addressing the current opioid epidemic. Considerable evidence documents the treatment effectiveness of MMT and, in turn, the importance of adequate dosing to MMT's effectiveness. Yet, as recently as 2011, 41% of patients received doses below the level of 80 mg/day. Using survey data from a nationally representative sample of MMT programs in 2011 and 2017, we examine (1) the extent to which the nation's MMT programs are meeting evidence-based standards for methadone dose level and (2) characteristics of MMT programs that are associated with variation in performance. Our results show that 43% of MMT patients receive <80 mg/day in 2017, and 23% of methadone maintenance patients receive daily doses below 60 mg. Results from multivariate regression analysis of the 2017 survey data show that private for-profit and public organizations significantly under-dosed patients compared to private nonprofit providers. Under-dosing also was more common in programs that serve high proportions of African-American patients. These results are concerning because MMT remains the medication of choice for vulnerable patients with the most severe opioid use disorders, and for-profit providers treat a growing proportion of MMT patients.