Choice Modelling in Health
GW4580M
Lecture 1: Introduction
Choice modelling in health:
Obtaining insights into patients’ preferences, how they make trade-offs
and accurately forecasting demand to prevent poor decision-making,
trial-and-error implementation and demand-supply imbalance in health.
Current practice: the Medical Product Lifecycle (MPLC)
From early research to post-approval, showing how different bodies
interact across stages.
Involving patients’ wishes, needs, values, and preferences.
“Explore which outcomes matter before designing an HTA framework”
Early stages of research or assessment
Open-ended, flexible and adaptive
Hypothesis-generating
,“Given what we know, how important is each part?”
Later stages, when decisions require comparison
Measuring, quantifying, and prioritizing
Structured, systematic, (mostly) quantitative
, European Medicines Agency (EMA): “Is new method acceptable for use in
medicines development?”
Discrete Choice Experiment (DCE)
Also called Stated Choice studies
Has mathematically rigorous framework
Can consider products and services that do not yet exist in the market
(hypothetical choices)
Gives researcher complete control over its characteristics
Inexpensive method to collect choice data
DCE consists of numerous respondents: asked to complete a number of choice
sets in a survey and select one alternative (once option).
(“alternatives”: Flu Vaccine 1, Flu Vaccine 2, No Flu Vaccine)
Choice modelling is used to analyse DCE data:
GW4580M
Lecture 1: Introduction
Choice modelling in health:
Obtaining insights into patients’ preferences, how they make trade-offs
and accurately forecasting demand to prevent poor decision-making,
trial-and-error implementation and demand-supply imbalance in health.
Current practice: the Medical Product Lifecycle (MPLC)
From early research to post-approval, showing how different bodies
interact across stages.
Involving patients’ wishes, needs, values, and preferences.
“Explore which outcomes matter before designing an HTA framework”
Early stages of research or assessment
Open-ended, flexible and adaptive
Hypothesis-generating
,“Given what we know, how important is each part?”
Later stages, when decisions require comparison
Measuring, quantifying, and prioritizing
Structured, systematic, (mostly) quantitative
, European Medicines Agency (EMA): “Is new method acceptable for use in
medicines development?”
Discrete Choice Experiment (DCE)
Also called Stated Choice studies
Has mathematically rigorous framework
Can consider products and services that do not yet exist in the market
(hypothetical choices)
Gives researcher complete control over its characteristics
Inexpensive method to collect choice data
DCE consists of numerous respondents: asked to complete a number of choice
sets in a survey and select one alternative (once option).
(“alternatives”: Flu Vaccine 1, Flu Vaccine 2, No Flu Vaccine)
Choice modelling is used to analyse DCE data:
