Project ECHO education programs for providers of patients with opioid use disorder (OUD) have been established across the globe. Robust observational studies integrating multiple administrative databases may provide timely clinical evidence on changes in outcomes at the provider level. We developed a framework of retrospective cohort study designs with matched intervention-control comparisons and interrupted time series models for aggregated patient outcomes. The framework allows for multi-level clustering, latency periods, random effects for clustering, general difference-in-difference evaluation, and propensity scoring for bias adjustment. We illustrate that this framework allows models to estimate intervention-related changes in outcome trends after intervention and in comparison with controls. For medication-assisted treatment, we find that providers with lower baseline rates had an accelerated uptake following ECHO training, while those with higher baseline rates had no change in medication prescription rates. We provide recommendations on study design, metrics, and statistical modeling to implement this framework.