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Comparing Preferences for Disease Profiles: A Discrete Choice Experiment from a US Societal Perspective
Karissa M Johnston1, Ivana F Audhya2, Jessica Dunne3
1Broadstreet HEOR, 201-343 Railway St., Vancouver, BC, V6A 1A4, Canada. kjohnston@broadstreetheor.com.
Applied Health Economics and Health Policy
|January 22, 2024
Summary
Public health policy decisions prioritize diseases with higher prevalence, longer life expectancy, and greater symptom burden. These factors significantly influence societal value perceptions for research and treatment prioritization.
Area of Science:
- Health Economics
- Public Health Policy
- Patient-Reported Outcomes
Background:
- Growing interest in comprehensive value frameworks for health policy.
- Need to quantify public preferences for disease attributes.
Purpose of the Study:
- To assess public preferences for disease attributes.
- To identify key attributes for prioritizing health research and treatment.
Main Methods:
- Discrete Choice Experiment (DCE) with a US general population sample.
- Evaluation of attributes: onset age, cause, life expectancy, caregiver needs, symptom burden, and prevalence.
- Mixed-logit regression analysis to determine attribute importance.
Main Results:
- Life expectancy and symptom burden were the most valued attributes.
- Higher disease prevalence, pediatric onset, and caregiver requirements also increased perceived importance.
- A pediatric inherited disease profile with reduced life expectancy and severe symptoms was highly preferred.
Conclusions:
- Public value frameworks should prioritize disease prevalence, life expectancy, and symptom burden.
- Societal preferences indicate a strong emphasis on quality and length of life, and caregiver support.
- Findings inform value-based decision-making in health policy and resource allocation.
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