Implementation of Network for the Improvement of Addiction Treatment (NIATx) Processes in Substance Use Disorder Treatment Centers

Exploring the Impact of External Facilitation Using Evidence-Based Implementation Strategies for Increasing Motivational Interviewing Capacity Among Outpatient Substance Use Disorder (SUD) Treatment Providers

The large majority of individuals who access substance use disorders (SUD) treatment do not receive evidence-based care. Little attention has been paid to the notion that the scale-up of evidence-based practices (EBPs) has been limited in large part due to a weakness in the "distribution system" for bringing new innovations to the attention of practitioners and into practice settings. This study explores the impact of the Training and Practice Implementation Institute (TPII; funded by the New York City Department of Health and Mental Hygiene), an intensive technical assistance initiative that offers external facilitation to outpatient SUD treatment providers via the incorporation of multiple evidence-based implementation strategies to enhance the practice of motivational interviewing (MI). Findings from this study show that staff completed a large majority (86%) of required training/technical assistance (TTA) activities across the 9-month implementation period, demonstrating a high level of engagement among staff and the feasibility of externally facilitated intensive TTA delivered to community-based organizations for the purpose of enhancing implementation of MI for SUDs. Results also show statistically significant improvements in the delivery of MI's technical components among staff, though did not reveal corresponding improvements in the delivery of MI's relational components. An understanding of the potential return on investment associated with externally facilitated TA, offers organizations an opportunity to inform the allocation of limited resources to areas where they will have the greatest impact and ultimately improve the quality and efficacy of services.

Leveraging existing provider networks in Europe to eliminate barriers to accessing opioid agonist maintenance therapies for Ukrainian refugees

Russia's invasion of Ukraine caused a major refugee crisis, particularly impacting Central and Eastern Europe. Ukraine has one of the highest prevalence rates of opioid use disorder (OUD) in Europe, which increases the risk of HIV spread due to injection drug use. Opioid agonist maintenance therapies (OAMT) are a gold standard treatment for OUD and the prevention of HIV spread. Refugees who were displaced and previously maintained on OAMT in Ukraine require reliable care continuity, but OAMT is often highly regulated making it difficult to access. Using an implementation science lens, we sought to understand the barriers and facilitators that might impede OAMT continuity. We performed 23 semi-structured interviews with displaced patients with OUD and providers of OAMT and harm reduction. Interview participants were purposively sampled to include individuals from the highest-impacted countries: Poland, Germany, Czechia, Slovakia, Romania, and Hungary. Interviews focused on existing provider networks and barriers that refugees on OAMT faced during displacement. Though networks existed, there was little collaboration between providers and key stakeholders, such as NGOs, in overcoming barriers. Moreover, existing formal networks were not leveraged for rapid problem-solving. We found that despite existing networks, providers encountered substantial barriers to successfully coordinating access and retention in OAMT for refugees. Owing to insufficiently leveraged coordination between providers, clinics frequently turned patients away due to insufficient capacity, language barriers, and financial coverage issues. The limited geographic distribution of clinics in larger countries, such as Poland and Germany, further inhibited refugees from accessing and remaining on treatment. To support countries and providers in responding to a rapidly evolving crisis, collaborative learning combined with rapid cycle change projects used by the Network for the Improvement of Addiction Treatment (NIATx) model could be deployed to promote collaboration between providers both nationally and throughout the European Union to guide continuity of OAMT.

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.

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.

A facilitation model for implementing quality improvement practices to enhance outpatient substance use disorder treatment outcomes: a stepped-wedge randomized controlled trial study protocol

Background

The misuse of and addiction to opioids is a national crisis that affects public health as well as social and economic welfare. There is an urgent need for strategies to improve opioid use disorder treatment quality (e.g., 6-month retention). Substance use disorder treatment programs are challenged by limited resources and a workforce that does not have the requisite experience or education in quality improvement methods. The purpose of this study is to test a multicomponent clinic-level intervention designed to aid substance use disorder treatment clinics in implementing quality improvement processes to improve high-priority indicators of treatment quality for opioid use disorder.

Methods

A stepped-wedge randomized controlled trial with 30 outpatient treatment clinics serving approximately 2000 clients with opioid use disorder each year will test whether a clinic-level measurement-driven, quality improvement intervention, called Coaching for Addiction Recovery Enhancement (CARE), improves (a) treatment process quality measures (use of medications for opioid use disorder, in-treatment symptom and therapeutic progress, treatment retention) and (b) recovery outcomes (substance use, health, and healthcare utilization). The CARE intervention will have the following components: (1) staff clinical training and tools, (2) quality improvement and change management training, (3) external facilitation to support implementation and sustainability of quality improvement processes, and (4) an electronic client-reported treatment progress tool to support data-driven decision making and clinic-level quality measurement. The study will utilize multiple sources of data to test study aims, including state administrative data, client-reported survey and treatment progress data, and staff interview and survey data.

Discussion

This study will provide the field with a strong test of a multicomponent intervention to improve providers’ capacity to make systematic changes tied to quality metrics. The study will also result in training and materials that can be shared widely to increase quality improvement implementation and enhance clinical practice in the substance use disorder treatment system.

Trial registration

Trial #NCT04632238NCT04632238 registered at clinicaltrials.gov on 17 November 2020

A randomized comparison of 4 vs. 16 weeks of psychosocial treatment for stimulant users

Controlled studies provide little empirical evidence to inform clinical recommendations for the optimal duration (i.e., "dosage") of psychosocial treatment for substance use disorders (SUDs). The current study prospectively examined the relationships among treatment dosage, participant adherence to the treatment regimen, and treatment outcomes in a population of adults with stimulant use disorder (cocaine and/or methamphetamine). The study randomly assigned eighty-five participants to receive either 4 weeks or 16 weeks of standardized outpatient treatment. The treatment consisted of cognitive behavioral therapy (CBT) and content covered was identical for each condition; only the planned duration of participation differed. Although both groups reduced stimulant use over time, participants in the 16-week condition were significantly more likely than those in the 4-week condition to provide stimulantnegative urine specimens 26 and 52 weeks following randomization. Participant adherence to treatment correlated significantly with drug-use outcomes: we observed a greater likelihood of stimulant-negative urine tests among those who completed treatment, irrespective of group assignment. Both the number of sessions attended and the percentage of prescribed sessions attended were associated with reductions in stimulant-use frequency 26 and 52 weeks after admission.

An investigation of an open-access model for scaling up methadone maintenance treatment

AIMS

To examine retrospectively patient and programmatic outcomes following the development and implementation of an 'open-access' model in which prospective patients were enrolled rapidly in methadone maintenance treatment, irrespective of ability to pay, and provided real-time access to multiple voluntary treatment options.

DESIGN

Medical and administrative records were abstracted to compare data for 1 year before and 9 years after initiating the implementation of an open-access treatment model in May 2007.

SETTING

Methadone maintenance treatment center in Connecticut, USA.

PARTICIPANTS

Individuals with opioid use disorder entering treatment between July 2006 and June 2015. In June 2015, 64% (n = 2594) of the sample were men and 80% (n = 3133) reported that they were white.

INTERVENTION

The Network for the Improvement of Addiction Treatment-informed open-access treatment model uses process improvement strategies to improve treatment access and capacity.

MEASUREMENTS

Census, waiting time, retention, non-medical opioid use, patient mortality and financial sustainability (net income and state-block grants as proportions of revenue).

FINDINGS

In the 9 years following the initial implementation of the open-access model, patient census increased by 183% from 1431 to 4051, and average waiting-time days decreased from 21 to 0.3 (same day) without apparent deleterious effects on rates of retention, non-medical opioid use or mortality. Between fiscal years (FY) 06 and FY 15, net operating margin rose from 2 to 10%, while state-block grant revenues declined 14% and the proportion of total revenue from state-block grant revenue decreased from 49 to 24%.

CONCLUSIONS

An open-access model for rapid enrolment of people with opioid use disorder in methadone treatment appears to improve treatment access, capacity, and financial sustainability without evidence of deleterious effects on treatment outcomes.