Literature Collection

BACKGROUND: Project Extension for Community Healthcare Outcomes (ECHO) utilizes telemedicine to connect a multidisciplinary team of experts with a -network of primary care physicians to enable rapid dissemination of evidence-based -guidelines and practices at scale. In this study, the Project ECHO model disseminated the Arizona Pain and Addiction Curriculum to providers in rural Arizona with the goal to educate providers on medication-assisted treatment (MAT). METHODS: Participants engaged in biweekly, virtual teleECHO sessions, and post-session surveys were used to collect data on provider satisfaction, self-efficacy, knowledge, barriers to change, and changes in practice behavior. RESULTS: Between February 2020 and November 2020, the MAT-ECHO program hosted 20 teleECHO sessions (N = 20) with 255 unique participating providers and delivered 877 learning hours. Analysis of a 6-month post-ECHO survey (N = 13) demonstrated that teleECHO sessions had broad geographic outreach. Participants had an average of 12 years of experience, 38 percent held NP/PA professional degrees, and 54 percent practiced in opioid treatment program settings. Assessment of job satisfaction and well-being revealed overall improved satisfaction among the small cohort of nonwaivered respondents (N = 8), except for meeting patient's needs. MAT-waivered respondents reported no post-session changes. CONCLUSIONS: Data from this study demonstrated that teleECHO sessions were well attended, consisted of a diverse cohort with various degrees, and had broad geographic outreach; hence, the utilization of the teleECHO model has the potential to reach rural providers and subsequently increase the availability and -efficacy of MAT in rural America.

BACKGROUND: Group-Based Opioid Treatment (GBOT) has recently emerged as a mechanism for treating patients with opioid use disorder (OUD) in the outpatient setting. However, the more practical "how to" components of successfully delivering GBOT has received little attention in the medical literature, potentially limiting its widespread implementation and utilization. Building on a previous case series, this paper delineates the key components to implementing GBOT by asking: (a) What are the core components to GBOT implementation, and how are they defined? (b) What are the malleable components to GBOT implementation, and what conceptual framework should providers use in determining how to apply these components for effective delivery in their unique clinical environment? METHODS: To create a blueprint delineating GBOT implementation, we integrated findings from a previously conducted and separately published systematic review of existing GBOT studies, conducted additional literature review, reviewed best practice recommendations and policies related to GBOT and organizational frameworks for implementing health systems change. We triangulated this data with a qualitative thematic analysis from 5 individual interviews and 2 focus groups representing leaders from 5 different GBOT programs across our institution to identify the key components to GBOT implementation, distinguish "core" and "malleable" components, and provide a conceptual framework for considering various options for implementing the malleable components. RESULTS: We identified 6 core components to GBOT implementation that optimize clinical outcomes, comply with mandatory policies and regulations, ensure patient and staff safety, and promote sustainability in delivery. These included consistent group expectations, team-based approach to care, safe and confidential space, billing compliance, regular monitoring, and regular patient participation. We identified 14 malleable components and developed a novel conceptual framework that providers can apply when deciding how to employ each malleable component that considers empirical, theoretical and practical dimensions. CONCLUSION: While further research on the effectiveness of GBOT and its individual implementation components is needed, the blueprint outlined here provides an initial framework to help office-based opioid treatment sites implement a successful GBOT approach and hence potentially serve as future study sites to establish efficacy of the model. This blueprint can also be used to continuously monitor how components of GBOT influence treatment outcomes, providing an empirical framework for the ongoing process of refining implementation strategies.