Where to access the dashboard: https://opioidstr.mimh.edu
- Click “Register” in the top right-hand corner of the website to access the dashboard

What is the Treatment Evaluation Dashboard? The treatment dashboard is a web-based platform for DMH SOR-funded treatment providers to review their most recent agency and site data as it pertains to OUD treatment delivery and outcomes for uninsured individuals. The dashboard includes pre-STR/SOR data compared to STR/SOR data as well as comparisons between your agency and statewide averages.

Who developed the OUD Treatment Evaluation Dashboard? The SOR team at the University of Missouri, St. Louis - Missouri Institute of Mental Health (UMSL-MIMH) in collaboration with the Department of Mental Health (DMH).

What data is included in the OUD Treatment Evaluation Dashboard? CIMOR billing data for uninsured individuals with OUD who have received treatment within the STR/SOR program (eventually we hope to expand to include data from non-STR/SOR clients with OUD). This dashboard will NOT include any data from clients with OUD whose services are billed through private pay or Medicaid. All data will be reported at the Episode of Care (EOC) level. This data is already provided to UMSL-MIMH by DMH. NO ADDITIONAL DATA COLLECTION OR ENTRY WOULD BE REQUIRED FROM TREATMENT PROVIDERS TO CREATE OR UTILIZE THE DASHBOARD.

Why was the dashboard developed? The goal of this project is to provide treatment agencies with a visual representation of how each agency’s treatment outcomes compare to statewide outcomes. Although data is available through providers’ electronic medical records, there is no current statewide effort to standardize data collected through CIMOR to provide consistent and accurate comparisons of treatment outcomes.

Future dashboard developments: Because the dashboard is in a very early developmental stage there is some flexibility built in to the project. For example, UMSL-MIMH plans to add additional layers to each of the current measures on the dashboard as they related to different populations (e.g. Treatment Retention by Race/Gender).