HEOR Training

Health Economics and Outcomes Research (HEOR) Training Modules for Your Team

Targeting busy professionals at all experience levels

Empower your team to:

  • Engage colleagues in HEOR discussions
  • Interpret HEOR studies
  • Communicate HEOR data more effectively
  • Understand how analyses are used by decision makers
  • Become better navigator of pharmacoeconomic literature

Select tailored modules that benefit your team

Pharmacoeconomic principles

  • Define pharmacoeconomic research and how it’s used
  • Identify ways a medication can be considered “cost-effective”
  • Distinguish among types of costs (direct medical, direct non-medical, indirect, intangible)
  • Describe types of outcomes (e.g., surrogate vs final, economic, clinical, patient reported) and how they are incorporated into cost-effectiveness analyses
  • Recognize how to interpret a cost-effectiveness plane
  • Describe various study perspectives
  • Identify the importance of sensitivity analysis.

Pharmacoeconomic methodology

  • Identify differences among various pharmacoeconomic methodologies, such as cost of-illness analysis, cost-minimization analysis, cost-effectiveness analysis, cost-utility analysis, and cost-benefit analysis
  • Calculate the incremental cost-effectiveness for one medication over another
  • Describe how utility values are used to calculate a quality-adjusted life year difference between average cost-effectiveness ratios and incremental cost-effectiveness ratios
  • Describe the advantages of using cost-effectiveness acceptability curves .

Patient-Reported Outcomes (PRO) assessment

  • Define patient-reported outcomes (PROs) and when they should be used
  • Identify types of instruments used to measure PROs, including generic and disease-specific tools
  • Describe examples of commonly used PRO instruments, including the SF-36 Health Survey and the EQ-5D
  • Discuss the importance of measuring what is important to the patient
  • Outline recommendations in the PRO Guidance
  • Explain how a PRO instrument can be considered valid and reliable

Real World Evidence (RWE). Overview of methods

  • Clarify definitions and policy issues, and why RWE has received so much attention from various stakeholders
  • Describe different types of RWE studies including associated advantages and disadvantages
  • Differentiate observational study designs including cohort, case control, and pragmatic trials
  • Discuss statistical techniques used in observational research such as propensity score matching
  • Compare and contrast various tools available for evaluating observational studies

Health Economics Modelling. Basics and Advanced

  • Describe the steps in building a decision tree
  • Build a decision tree using Excel software
  • Differentiate between decision trees and Markov models
  • Identify disease conditions where a Markov analysis is preferred to a decision tree
  • Build a Markov model using Excel software
  • Interpret Markov structures and results presented in publications
  • Fully probabilistic Markov/Monte Carlo models (Bayesian statistics – based)
  • DES models (Discrete Event Simulation)

Budget Impact Analysis (BIA)

  • Define components included in budget impact analyses
  • Discuss ISPOR Principles of Good Practice for Budget Impact Analysis
  • Describe examples of published budget impact analyses
  • Identify key questions that are raised about budget impact analyses
  • Outline differences between budget impact and pharmacoeconomic analyses
  • Discuss ways to best communicate budget impact models with end users

With flexible solutions

Person to person modules

Person to person modules

Person to group modules

Person to group modules

Classical online modules

Classical online modules

Interactive online modules (webinar)

Interactive online modules (webinar)