How to do (or not to do) … Designing a discrete choice experiment for application in a low-income country

Bibliographic Data

ID18033125
AuthorsLindsay Mangham-Jefferies (0000-0002-7292-6342, University of London, corresponding author), Lindsay J Mangham (Health Economics and Finance Programme, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.), Kara Hanson (0000-0002-9928-2823, Health Economics and Finance Programme, London School of Hygiene and Tropical Medicine, Keppel Street, London, WC1E 7HT, United Kingdom.), Barbara Mcpake (0000-0002-9904-1077, Institute for International Health and Development, Queen Margaret University, Queen Margaret University Drive, Musselburgh, Edinburgh, EH21 6UU, United Kingdom.)
Year2009
Volume24
Issue2
Pages151-158
Publication date2009-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueHealth Policy and Planning (JOURNAL)
Journal identifiersISSN: 0268-1080 • E-ISSN: 1460-2237
PublisherOxford University Press (PUBLISHER • GB)
DOI10.1093/heapol/czn047
PMID19112071
OpenAlexW2110636701
LanguageEN
Citations received89
References cited40

Understanding the preferences of patients and health professionals is useful for health policy and planning. Discrete choice experiments (DCEs) are a quantitative technique for eliciting preferences that can be used in the absence of revealed preference data. The method involves asking individuals to state their preference over hypothetical alternative scenarios, goods or services. Each alternative is described by several attributes and the responses are used to determine whether preferences are significantly influenced by the attributes and also their relative importance. DCEs are widely used in high-income contexts and are increasingly being applied in low- and middle-income countries to consider a range of policy concerns. This paper aims to provide an introduction to DCEs for policy-makers and researchers with little knowledge of the technique. We outline the stages involved in undertaking a DCE, with an emphasis on the design considerations applicable in a low-income setting

Business · Choice modelling · Developing country · Discrete choice · Econometrics · Economic growth · Economics · Goods and services · Low and middle income countries · Microeconomics · Preference · Public economics · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Health Systems, Economic Evaluations, Quality of Life · Marketing