During Michaelmas Term, OxTalks will be moving to a new platform (full details are available on the Staff Gateway).
For now, continue using the current page and event submission process (freeze period dates to be advised).
If you have any questions, please contact halo@digital.ox.ac.uk
This intensive 2-day online course offers a comprehensive overview of health economics and policy assessment. Designed for PhD students, researchers, health professionals, administrators, and executives, it provides crucial skills for data-driven health policy roles.
The curriculum covers theoretical foundations and practical applications, blending lectures, case studies, and hands-on data analysis using Stata software. Participants will learn to apply health economic tools to real-world decisions and interventions.
This comprehensive program is designed to equip PhD, MPhil, and MD students, researchers, NHS professionals, healthcare practitioners (GPs, nurses, physicians, etc.), managers, and CEOs with a profound understanding of the essential concepts and principles in health economics and health policy.
Key Topics Covered:
Health policy and economic principles: Understanding the distinction between health and health care.
Health care as an economic commodity: Analyzing health care from an economic perspective.
Incentive mechanisms and principal-agent relationships in health care: Unraveling the complexities of health care systems.
Hospital competition and Diagnostic Related Group (DRG) payment schemes: Assessing their impact on healthcare services.
Economic evaluation: Examining the economic aspects of health interventions.
Policy evaluation on real data: Analyzing existing health policies using data-driven methods.
Course Structure:
This two-day intensive course will combine theory and applied methods using real-world case studies and data analysis. Participants will have the opportunity to gain hands-on experience during a dedicated day of learning and familiarization with the software Stata, which is commonly used for health data analysis.