Literature DB >> 19112071

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

Lindsay J Mangham1, Kara Hanson, Barbara McPake.   

Abstract

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.

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Year:  2008        PMID: 19112071     DOI: 10.1093/heapol/czn047

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


  120 in total

1.  Evaluated strategies to increase attraction and retention of health workers in remote and rural areas.

Authors:  Carmen Dolea; Laura Stormont; Jean-Marc Braichet
Journal:  Bull World Health Organ       Date:  2010-05       Impact factor: 9.408

2.  Public preferences for establishing nephrology facilities in Greenland: estimating willingness-to-pay using a discrete choice experiment.

Authors:  Trine Kjær; Mickael Bech; Christian Kronborg; Morten Raun Mørkbak
Journal:  Eur J Health Econ       Date:  2012-09-14

3.  Utility Values for the CP-6D, a Cerebral Palsy-Specific Multi-Attribute Utility Instrument, Using a Discrete Choice Experiment.

Authors:  Mina Bahrampour; Richard Norman; Joshua Byrnes; Martin Downes; Paul A Scuffham
Journal:  Patient       Date:  2020-10-19       Impact factor: 3.883

4.  Random regret-based discrete-choice modelling: an application to healthcare.

Authors:  Esther W de Bekker-Grob; Caspar G Chorus
Journal:  Pharmacoeconomics       Date:  2013-07       Impact factor: 4.981

Review 5.  Preferences for Pre-exposure Prophylaxis Service Delivery Among Female Sex Workers in Malawi: A Discrete Choice Experiment.

Authors:  Kathryn E Lancaster; Thandie Lungu; Agatha Bula; Jaclyn M Shea; Abigail Shoben; Mina C Hosseinipour; Racquel E Kohler; Irving F Hoffman; Vivian F Go; Carol E Golin; Stephanie B Wheeler; William C Miller
Journal:  AIDS Behav       Date:  2020-05

6.  Understanding drug preferences, different perspectives.

Authors:  Peter G M Mol; Arna H Arnardottir; Sabine M J Straus; Pieter A de Graeff; Flora M Haaijer-Ruskamp; Elise H Quik; Paul F M Krabbe; Petra Denig
Journal:  Br J Clin Pharmacol       Date:  2015-06       Impact factor: 4.335

7.  Using discrete choice modeling to evaluate the preferences and willingness to pay for leptospirosis vaccine.

Authors:  Joseph Arbiol; Mitsuyasu Yabe; Hisako Nomura; Maridel Borja; Nina Gloriani; Shin-ichi Yoshida
Journal:  Hum Vaccin Immunother       Date:  2015       Impact factor: 3.452

8.  Eliciting preferences for priority setting in genetic testing: a pilot study comparing best-worst scaling and discrete-choice experiments.

Authors:  Franziska Severin; Jörg Schmidtke; Axel Mühlbacher; Wolf H Rogowski
Journal:  Eur J Hum Genet       Date:  2013-03-13       Impact factor: 4.246

9.  Preferences for vaccination program attributes among parents of young infants in Shanghai, China.

Authors:  Zhuoying Huang; Abram L Wagner; Muzi Lin; Xiaodong Sun; Brian J Zikmund-Fisher; Matthew L Boulton; Jia Ren; Lisa A Prosser
Journal:  Hum Vaccin Immunother       Date:  2020-01-24       Impact factor: 3.452

10.  A review of the application and contribution of discrete choice experiments to inform human resources policy interventions.

Authors:  Mylene Lagarde; Duane Blaauw
Journal:  Hum Resour Health       Date:  2009-07-24
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