Health Economics and Policy Evaluation Course. Online Oxford. 7-9th October 2024
Health Economics and Policy Evaluation Course. Online Oxford. 7-9th October 2024
United Kingdom
Published:
09 Sep 2024
Online course on Health Economics and Policy Evaluation
Offered by: Oxford Online
Dates: 7th October 2024 – 9th October 2024
Registration Deadline: October 1st 2024
Register: here
Course Overview:
The course will provide an in-depth exploration of the tools utilized by health economists to address health policy issues, focusing on statistics techniques to assess public health interventions and policies. Participants will have the opportunity to delve into various methodologies, including standard regression-based approaches, instrumental methods, interrupted time series, difference-in-differences, and matching methods, using statistical packages tailored to health data.
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.