Stroke is a leading cause of mortality, morbidity, and healthcare costs in the U.S., but there are tradeoffs associated with tackling each of these dimensions. For example, expanding screening for stroke-specific risk factors to the general population could identify high-risk individuals who might benefit from intensive stroke prevention measures, but these interventions also carry treatment risks and increase the costs of stroke care. Tradeoffs can be quantified using disease simulation modeling techniques and cost-effectiveness analysis, the approach Dr. Pandya’s team will take to address this issue. Dr. Pandya expects this research will provide healthcare decision-makers with a set of evidence-based policy actions that will prevent strokes, prioritize treatments, and curb inefficient care.
Related news: Ankur Pandya Presents Research on P4P at HPM Seminar
Related news: Ankur Pandya Receives Teaching Citation Award