Cost-of-Illness/Cost-Estimation (COI/CE)
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Distance Learning
- Introduction to Outcomes Research
- Introduction to Systematic Reviews & Meta-Analysis
- Systematic Review & Meta-Analysis: Applications
- Introduction to Pharmacoeconomics
- Cost-of-Illness/Cost-Estimation (COI/CE)
- Cost-Minimization/Cost-Consequence (CMA/CCA)
- Cost-Effectiveness Analysis (CEA) and Cost-Utility Analysis (CUA)
- Modeling Health Care Costs – Part I: Characteristics of Health Care Costs
- Modeling Health Care Costs – Part II: Methods and Guidelines for Estimating Health Care Costs
- Modeling Health Care Costs – Part III: Estimation from Censored Data
- Introduction to Budget Impact Analysis (BIA) - Part I
- Introduction to Budget Impact Analysis (BIA) - Part II
- Markov Model Toolkit: Concepts, Assumptions and Examples
- An Introduction to Choice-Based Conjoint Analysis (Discrete Choice Experiments)
- Health-Related Quality of Life (HRQOL) – Basics
- Patient Reported Outcomes: Analysis and Interpretation
- Patient Reported Outcomes: Instrument Development
- Item Response Theory: A Conceptual Introduction
- Preparing for Multinational Clinical Trials: Translation and Cultural Adaptations of PRO Measures
- Evidence Generation for Patient Reported Outcome (PRO) Label Claims (FDA Requirements)
- Intermediate Retrospective Observational Study - Propensity Scoring Methods
- Use of Public Survey Data in Health Outcomes Research
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Course Description
This module is an introduction to the role of cost-of-illness (COI)/cost-estimation (CE) in medical decision making from multiple perspectives. It will describe uses of COI/CE analysis for resource allocation, policy-making and baseline research/benchmarking, different approaches to computational methods, cost components and determination of cost drivers.
Learning Objectives
By the end of the Cost-of-Illness/Cost-Estimation (COI/CE) module, you will be able to:
- State the role of cost-of-illness (COI)/cost-estimation in medical decision making.
- Define the components of COI analysis.
- Understand the computations involved in COI analysis.
- Understand the concerns in attribution of cost components to a particular illness or time period.