Medication Safety & Effectiveness
- National Institutes of Health (NIH)
Sengwee Darren Toh
Xiaojuan Li
Project Summary
TIDE maintains a robust portfolio of research focused on medication safety and effectiveness. We use fit-for-purpose real-world data sources, including insurance claims databases and electronic health record databases to assess the benefits and risks of medications, especially among vulnerable populations such as pregnant people and individuals with multiple comorbidities. We develop, refine, and apply advanced causal inference methods, machine learning techniques, and privacy-protecting analytic methods to conduct rigorous pharmacoepidemiologic research.
Ongoing Projects
Novel causal inference methods to inform clinical decision on when to discontinue symptomatic treatment for patients with dementia
Funder: National Institute on Aging
Principal Investigator: Xiaojuan Li
Objective: Apply novel causal inference methods to answer two pivotal questions in the management of symptomatic dementia drugs for people living with Alzheimer’s disease and related dementias: what the long-term effect of treatment is, and when is suitable to discontinue these medications.
Optimizing care for older adults in the new treatment era for type 2 diabetes and heart failure
Funder: National Institute on Aging
Principal Investigator: Xiaojuan Li
Objective: Investigate the comparative effectiveness and safety of these agents in older adults in routine care while applying, developing, and disseminating state-of-the-art analytical and causal inference methods.
Comparative effectiveness of anti-obesity medications for cardiometabolic health outcomes and health services use
Funder: National Heart, Lung, and Blood Institute
Principal Investigator: Sengwee Darren Toh
Objective: Conduct comparative effectiveness analysis of FDA-approved anti-obesity medications (phentermine, phentermine-topiramate-ER, liraglutide, bupropion-naltrexone-SR, and semaglutide) on major cardiovascular events, other clinical outcomes related to reduction in body weight, and health care services use and associated costs.