Comparative analysis of different healthcare interventions in terms of their costs and health outcomes, using methods such as cost-benefit, cost-effectiveness, and cost-utility analysis.
Introduction to Health Economics: A basic overview of the field of health economics and the methods used in economic evaluation in healthcare.
Types of Economic Evaluation: An examination of different types of economic evaluation (cost-benefit analysis, cost-effectiveness analysis, etc.) and how they are used in healthcare.
Measuring Costs: An exploration of the various types of costs involved in healthcare and the methods used to measure them.
Measuring Health Outcomes: An examination of the various methods used to measure health outcomes, such as Quality-Adjusted Life Years (QALYs) and Disability-Adjusted Life Years (DALYs).
Time and Discounting: An overview of how time affects economic evaluations and how discounting is used to adjust for time preferences.
Modeling Economic Evaluations: An exploration of the various types of models used in economic evaluations and their strengths and limitations.
Decision Analysis: An examination of how decision analysis is used in healthcare to guide decisions and set priorities.
Economic Considerations of Clinical Trials: An exploration of how economics comes into play in clinical trials, such as cost-effectiveness analyses and trial design.
Health Technology Assessment (HTA): An overview of how HTA is used to help decision-makers assess new medical treatments and technologies.
Economic Evaluations in Specific Settings: A look at how economic evaluations are used in specific healthcare settings, such as long-term care, mental health, and primary care.
Ethics and Health Economics: An exploration of ethical issues in health economics, such as the allocation of resources and the use of cost-effectiveness analysis.
Health Policy and Health Economics: An examination of how health policy is influenced by economic evaluations and how economic evaluations are used to inform health policy decisions.
Cost-effectiveness analysis (CEA): It involves comparing alternative interventions and identifying the one which provides the maximum health benefit for every unit of resource spent.
Cost-utility analysis (CUA): It is an economic evaluation technique that measures the usefulness of an intervention based on its effect on quality of life.
Cost-benefit analysis (CBA): It estimates the monetary value of the benefits and costs of an intervention to society as a whole.
Cost-minimization analysis (CMA): It involves identifying the cheapest intervention option among other interventions that achieve the same objective.
Conjoint analysis: It is used to measure patient preferences for alternative health care interventions.
Program budgeting and marginal analysis (PBMA): It is a decision-making tool that enables the prioritization of healthcare interventions based on available resources.
Markov model: It is a mathematical model that is used to predict the future outcomes of interventions based on current data.
Decision tree analysis: It is a tool for evaluating economic outcomes by mapping out decision choices and scenarios.
Monte Carlo simulation: It is a statistical technique that is used to estimate the uncertainty of health-economic models and interventions.
Multi-criteria decision analysis (MCDA): It is a method used to assess interventions with multiple criteria or objectives.
Sensitivity analysis: It is the analysis of the impact of limiting assumptions made in a model on the results of an analysis.