CTN-0103: Expanding Clinical Research Training on Implementing the Evidence-based Hub and Spoke Model of Medication-Assisted Treatment for Opioid Use Disorder
Lisa A. Marsch, PhD
Lead Investigator
Dartmouth Psychiatric Research Center
Geisel School of Medicine at Dartmouth College
Department of Biomedical Data Science
Lisa.A.Marsch@Dartmouth.edu
As part of an ongoing teleECHO learning collaborative (LC), this study will expand clinical research training in evidence-based quality improvement methods that were central to delivering and sustaining science-based medication-assisted treatment for opioid use disorder (MOUD) within the Vermont Hub-and-Spoke Model (HSM). Participating primary care practices will be trained in the 1) use of a study-developed toolkit of research and evaluation quality improvement methods intended to expand provider knowledge and performance in the delivery of evidence-based MOUD, 2) systematic tracking of standardized outcome metrics, and 3) sharing of standardized data with other LC members so that practices can use this empirical information to refine their care model over time. The study will measure changes in providers’ knowledge about best practices for MOUD, their comfort in caring for OUD patients with MOUD, and their performance on all the standardized outcome metrics.
Funded by the NIH HEAL InitiativeSM.
Primary Findings
Training clinics to monitor their performance and base quality improvement initiatives on patient-level data has potential to impact clinical procedures related to best practices, but that there are barriers to tracking a set of standardized performance measures every month.
Primary Outcomes Article: Murray OB, et al. Augmenting Project ECHO for Opioid Use Disorder with Data-Informed Quality Improvement. Addiction Science & Clinical Practice 2023;18:24. [get article]
Related Resources
Node Involvement
Lead Node(s):
All Participating Nodes: