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Published on: June 5, 2016
Menu choice stated preference tasks to capture demand complementarity in health
Elisabeth Huynh1, Joffre Swait2, Emily Lancsar1
1Department of Health Economics, Wellbeing and Society, National Centre for Epidemiology and Population Health, Australian National University, 63A Eggleston Road, Acton, ACT, 2601, Australia.
Bundled health programs, like exercise and nutrition, appeal to specific consumer groups. Understanding these preferences through menu-based choice experiments helps tailor interventions for healthier lifestyles.
Area of Science:
- Health Economics
- Behavioral Science
- Public Health Interventions
Background:
- Health programs are often offered as packages, enabling both substitution and complementarity.
- Understanding consumer preferences for bundled health services is crucial for effective program design.
Purpose of the Study:
- To adapt Discrete Choice Experiments (DCEs) for analyzing bundled health programs.
- To investigate consumer preferences for combined exercise and nutrition programs.
- To develop an extended choice set generation model (GenL) for bundled options.
Main Methods:
- A menu-based choice experiment was conducted with a nationally representative sample of 333 Australians.
- Participants chose between nutrition-only, exercise-only, combined, or status quo options.
- A latent class GenL model was used to analyze preference heterogeneity.
Main Results:
- A significant portion of the population expressed interest in combined exercise and nutrition programs.
- Two distinct latent classes emerged: those preferring offered programs and price-sensitive individuals preferring the status quo.
- Preference heterogeneity directly influenced bundling preferences, with combined offerings appealing to specific consumer segments.
Conclusions:
- Menu-based choice tasks effectively capture demand for bundled health interventions.
- Policymakers can leverage these insights for targeted interventions promoting combined exercise and nutrition.
- Understanding consumer segmentation is key to optimizing the uptake of health programs.
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