HEOR (Health Economics and Outcomes Research) Training
Scrypto Analytics aim to provide in-depth training on the fundamentals and practical applications of HEOR, including Systematic Reviews, Meta-Analysis, and Market Access strategies across global geographics.
Module 1: Introduction to HEOR
- Definition and scope of HEOR
- Role of HEOR in healthcare decision-making
- Stakeholders: payers, providers, pharma, HTA agencies
- Relevance in policy and market access
Module 2: Overview of clinical studies
- Real-World studies
- RCTs
- Clinical endpoints Patient reported outcomes (PROs)
- Understanding of clinical data/results and interpretation
Module 3: Introduction of Systematic Review
- Formulating the Research Question
- Developing a Protocol
- Data Extraction
- Literature Search Strategy
- Quality Assessment / Risk of Bias
- Screening and Study Selection
- Reporting and Interpreting Results
Module 4: Meta-analysis
- Overview of Meta-analysis
- Concept of statistical synthesis
- Fixed-effect vs. random-effects models
- Forest plots and effect sizes (OR, RR, SMD, WMD)
- Heterogeneity: I² statistic and Chi² test
- Subgroup and sensitivity analysis
- Hands-on practice using tools: RevMan or R
Module 5: Health Economic Evaluations (HEE)
- Types of HEE with case example
- Application of HEE
- Challenges with HEE
- Understanding of components such as costing, utility valuation, QALYs, DALYs, ICER etc.
- Basic of decision tree and Markov model
Model 6: Health Technology Assessment (HTA)
- Overview of HTA
- Global HTA frameworks (NICE, G-BA, HAS etc.)
- Principles of HTA
- HTA process and decision making
- HTA Report Preparation & Submission