M. Kit Delgado, MD, MS
Assistant Professor of Emergency Medicine and Epidemiology, Perelman School of Medicine
M. Kit Delgado, MD, MS, is an Assistant Professor of Emergency Medicine and Epidemiology and a practicing trauma center emergency physician. He leads the Behavioral Science & Analytics For Injury Reduction (BeSAFIR) lab, which applies data science and behavioral economics for preventing injuries and for improving acute care. His clinical research is focused on developing and testing health system interventions for promoting opioid stewardship for acute pain management and for facilitating the treatment of patients with opioid use disorder in the emergency department. He currently leads the Acute Pain Workgroup of the University Pennsylvania Health System Opioid Task Force. His public health research is focused on preventing motor vehicle crashes from distracted and alcohol-impaired driving by leveraging smartphone technology and insights from behavioral economics. Finally, he serves a mentor and collaborator on studies of the health care outcomes of acutely ill and injured patients.
His work is funded by the National Institutes of Health, the Food and Drug Administration, the U.S. Department of Transportation, and the Agency for Health Care Research and Quality. He is a Leonard Davis Institute of Health Economics (LDI) Senior Fellow and a faculty member in the Center for Emergency Care Policy and Research (CECPR), the Center for Health Incentives and Behavioral Economics (CHIBE), the Penn Injury Science Center (PISC), and the Children’s Hospital of Philadelphia Center for Injury Research and Prevention (CIRP). He currently serves on the National Academies of Sciences, Engineering, and Medicine (NASEM) Committee on Evidence-based Clinical Practice Guidelines for Prescribing Opioids for Acute Pain. He has previously served as a member of the NASEM Committee on Accelerating Progress to Reduce Alcohol-Impaired Driving Fatalities. He received his M.D. from Columbia University, College of Physicians and Surgeons and his M.S. in Health Services Research from Stanford University.
- REDUCE: A Randomized Trial of Behavioral Economic Approaches to Reduce Unnecessary Opioid Prescribing
- Using Default Options to Decrease Opioid Prescribing Durations
- Right Sizing Opioid Prescriptions Following Orthopedic Surgery Using Patient-Feedback Data and Electronic Medical Record Orderset Defaults
- Capturing symptom progression and the physical and cognitive activities of patients daily following concussion using Way To Health
- Pilot trial leveraging smartphone-paired breathalyzers and incentives for reducing binge drinking and drinking and driving
- Promoting Interfamily Accountability for Reducing Cellphone Use While Driving in Adults and their Teen Children: A Pilot Trial