Early implementation of an electronic measurement-based care tool in substance use disorder treatment clinics.

Background: Measurement-based care (MBC), routinely measuring and reviewing treatment progress with a standardized tool, can inform clinical decision making and improve patient outcomes. Despite potential benefits, implementation of MBC in SUD treatment settings has been limited and little is known about its implementation in SUD settings. The goal of this convergent parallel mixed methods study was to understand staff experiences during early implementation of MBC in SUD treatment clinics.

Substance use and treatment disparities among Asian Americans, Native Hawaiians, and Pacific Islanders: A systematic review.

Background: The increasing relevance of substance use disorder (SUD) within the Asian American, Native Hawaiian, and Pacific Islander (AA&NH/PI) communities, particularly amidst rising anti-Asian hate incidents and the disproportionate health and economic challenges faced by the NH/PI community during the COVID-19 pandemic, underscores the urgency of understanding substance use patterns, treatment disparities, and outcomes.

Methods: Following PRISMA guidelines, 37 out of 231 studies met the search criteria. Study characteristics, study datasets, substance use rates, SUD rates, treatment disparities, treatment quality, completion rates, and analyses disaggregated by the most specific AA&NH/PI ethnic group reported were examined.

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.