Training Course on Strategic Value: Cost-effectiveness Analysis In Healthcare Training Course

Module 1: Introduction to Health Economics and Cost-effectiveness Analysis
Learning Objectives:
Understand the role of economic evaluation in healthcare.
Differentiate between types of economic evaluation methods.
Subtopics:
Principles of health economics and decision-making under scarcity
Types of economic evaluations: cost-minimization, cost-effectiveness, cost-utility, and cost-benefit analysis
The role of CEA in health policy and global health financing
Key terminologies: DALYs, QALYs, ICERs
Case Study / Exercise:
Case: Using CEA to compare vaccination programs
Exercise: Matching scenarios with the right type of economic evaluation

Module 2: Designing Cost-effectiveness Studies
Learning Objectives:
Identify essential components of a CEA study.
Select relevant perspectives, comparators, and time horizons.
Subtopics:
Steps in designing a CEA study
Choosing perspectives: healthcare system, patient, or societal
Selecting comparators and defining outcomes
Time horizons, discounting, and sensitivity analysis
Case Study / Exercise:
Case: Evaluating CEA design of a new diabetes intervention
Group activity: Developing a basic study framework for a sample health program

Module 3: Data Requirements and Analytical Methods in CEA
Learning Objectives:
Understand data sources and methods used in CEA.
Apply quantitative methods for cost and effectiveness estimation.
Subtopics:
Data sources: clinical trials, observational studies, registries, administrative data
Estimating costs: direct, indirect, and intangible costs
Measuring effectiveness: life-years gained, QALYs, DALYs
Incremental cost-effectiveness ratios (ICERs) and decision thresholds
Case Study / Exercise:
Case: ICER analysis in antiretroviral therapy scale-up
Practical: Calculating costs and outcomes from sample datasets

Module 4: Modeling in Cost-effectiveness Analysis
Learning Objectives:
Apply modeling approaches for decision-making.
Conduct sensitivity and uncertainty analysis.
Subtopics:
Decision trees and Markov models in health economics
Probabilistic sensitivity analysis (PSA)
Handling uncertainty in CEA studies
Using modeling software and Excel-based tools
Case Study / Exercise:
Case: Markov model for cancer screening interventions
Workshop: Building a simple decision tree model in Excel

Module 5: Application of CEA in Policy and Practice
Learning Objectives:
Translate CEA findings into policy recommendations.
Critically appraise published economic evaluations.
Subtopics:
Global guidelines: WHO-CHOICE, NICE, and World Bank approaches
Role of CEA in health technology assessment (HTA)
Using CEA for priority setting and resource allocation
Ethical considerations and equity in economic evaluations
Case Study / Exercise:
Case: Policy adoption of CEA findings in vaccine rollout strategies
Capstone Project: Developing a CEA-informed policy brief for a chosen interventio