338248
Medication Assisted Treatment Capacity and Leveraging Data Systems to Identify and Connect People to Treatment
Learning Areas:
Provision of health care to the publicSystems thinking models (conceptual and theoretical models), applications related to public health
Learning Objectives:
Discuss the treatment gap for medication-assisted treatment capacity and need in the United States and steps that can be taken to address it.
Describe how data from prescription drug monitoring programs and medical claims data sources can be used to identify patients in need of treatment for opioid use disorders.
Keyword(s): Treatment System, Accessibility
Qualified on the content I am responsible for because: Dr. Jones was principal investigator on a study examining medication-assisted treatment (MAT) capacity at the national and state levels. He is science officer on a collaborative project with the FDA, CDC, and the Prescription Drug Monitoring Program (PDMP) Center of Excellence at Brandeis University developing a Prescription Behavior Surveillance System (PBSS). He is experienced PDMP and claims data research identifying inappropriate substance use and appropriate candidates for SUD treatment, or MAT for opioid use disorders.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.