Literature DB >> 20217834

How does cost matter in health-care discrete-choice experiments?

F Reed Johnson1, Ateesha F Mohamed, Semra Ozdemir, Deborah A Marshall, Kathryn A Phillips.   

Abstract

Willingness-to-pay (WTP) estimates derived from discrete-choice experiments (DCEs) generally assume that the marginal utility of income is constant. This assumption is consistent with theoretical expectations when costs are a small fraction of total income. We analyze the results of five DCEs that allow direct tests of this assumption. Tests indicate that marginal utility often violates theoretical expectations. We suggest that this result is an artifact of a cognitive heuristic that recodes cost levels from a numerical scale to qualitative categories. Instead of evaluating nominal costs in the context of a budget constraint, subjects may recode costs into categories such as 'low', 'medium', and 'high' and choose as if the differences between categories were equal. This simplifies the choice task, but undermines the validity of WTP estimates as welfare measures. Recoding may be a common heuristic in health-care applications when insurance coverage distorts subjects' perception of the nominal costs presented in the DCE instrument. Recoding may also distort estimates of marginal rates of substitution for other attributes with numeric levels. Incorporating 'cheap talk' or graphic representation of attribute levels may encourage subjects to be more attentive to absolute attribute levels.
Copyright © 2010 John Wiley & Sons, Ltd.

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Year:  2011        PMID: 20217834      PMCID: PMC3918954          DOI: 10.1002/hec.1591

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  10 in total

Review 1.  Theory versus practice: a review of 'willingness-to-pay' in health and health care.

Authors:  J A Olsen; R D Smith
Journal:  Health Econ       Date:  2001-01       Impact factor: 3.046

2.  Preference measurement using conjoint methods: an empirical investigation of reliability.

Authors:  S Bryan; L Gold; R Sheldon; M Buxton
Journal:  Health Econ       Date:  2000-07       Impact factor: 3.046

3.  Measuring willingness-to-pay for risk reduction: an application of conjoint analysis.

Authors:  Harry Telser; Peter Zweifel
Journal:  Health Econ       Date:  2002-03       Impact factor: 3.046

Review 4.  Estimating the monetary value of health care: lessons from environmental economics.

Authors:  Nick Hanley; Mandy Ryan; Robert Wright
Journal:  Health Econ       Date:  2003-01       Impact factor: 3.046

5.  An experiment on simplifying conjoint analysis designs for measuring preferences.

Authors:  Tara Maddala; Kathryn A Phillips; F Reed Johnson
Journal:  Health Econ       Date:  2003-12       Impact factor: 3.046

6.  Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory.

Authors:  Emily Lancsar; Elizabeth Savage
Journal:  Health Econ       Date:  2004-09       Impact factor: 3.046

7.  Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (1).

Authors:  Mandy Ryan
Journal:  Health Econ       Date:  2004-09       Impact factor: 3.046

Review 8.  Deriving welfare measures in discrete choice experiments: a comment to Lancsar and Savage (2).

Authors:  J M C Santos Silva
Journal:  Health Econ       Date:  2004-09       Impact factor: 3.046

9.  A comparison of stated preference methods for estimating monetary values.

Authors:  Mandy Ryan
Journal:  Health Econ       Date:  2004-03       Impact factor: 3.046

10.  Hypothetical bias, cheap talk, and stated willingness to pay for health care.

Authors:  Semra Ozdemir; F Reed Johnson; A Brett Hauber
Journal:  J Health Econ       Date:  2009-04-18       Impact factor: 3.883

  10 in total
  23 in total

1.  A closer look at decision and analyst error by including nonlinearities in discrete choice models: implications on willingness-to-pay estimates derived from discrete choice data in healthcare.

Authors:  Esther W de Bekker-Grob; John M Rose; Michiel C J Bliemer
Journal:  Pharmacoeconomics       Date:  2013-12       Impact factor: 4.981

2.  The Predictive Value of Discrete Choice Experiments in Public Health: An Exploratory Application.

Authors:  Benjamin H Salampessy; Jorien Veldwijk; A Jantine Schuit; Karolien van den Brekel-Dijkstra; Rabin E J Neslo; G Ardine de Wit; Mattijs S Lambooij
Journal:  Patient       Date:  2015-12       Impact factor: 3.883

3.  Valuations of genetic test information for treatable conditions: the case of colorectal cancer screening.

Authors:  Vikram Kilambi; F Reed Johnson; Juan Marcos González; Ateesha F Mohamed
Journal:  Value Health       Date:  2014-11-06       Impact factor: 5.725

Review 4.  Discrete choice experiments in health economics: a review of the literature.

Authors:  Michael D Clark; Domino Determann; Stavros Petrou; Domenico Moro; Esther W de Bekker-Grob
Journal:  Pharmacoeconomics       Date:  2014-09       Impact factor: 4.981

5.  Most Americans Do Not Believe That There Is An Association Between Health Care Prices And Quality Of Care.

Authors:  Kathryn A Phillips; David Schleifer; Carolin Hagelskamp
Journal:  Health Aff (Millwood)       Date:  2016-04       Impact factor: 6.301

6.  Kicking the habit is hard: A hybrid choice model investigation into the role of addiction in smoking behavior.

Authors:  John Buckell; David A Hensher; Stephane Hess
Journal:  Health Econ       Date:  2020-10-31       Impact factor: 3.046

7.  Citizen participation in patient prioritization policy decisions: an empirical and experimental study on patients' characteristics.

Authors:  Adele Diederich; Joffre Swait; Norman Wirsik
Journal:  PLoS One       Date:  2012-05-09       Impact factor: 3.240

8.  Preferences of overweight and obese patients for weight loss programmes: a discrete-choice experiment.

Authors:  Axel Mühlbacher; Susanne Bethge
Journal:  Int J Integr Care       Date:  2013-09-20       Impact factor: 5.120

9.  Effect of pill burden on dosing preferences, willingness to pay, and likely adherence among patients with type 2 diabetes.

Authors:  A Brett Hauber; Steven Han; Jui-Chen Yang; Ira Gantz; Kaan Tunceli; Juan Marcos Gonzalez; Kimberly Brodovicz; Charles M Alexander; Michael Davies; Kristy Iglay; Qiaoyi Zhang; Larry Radican
Journal:  Patient Prefer Adherence       Date:  2013-09-18       Impact factor: 2.711

10.  Type 2 diabetes patients' preferences and willingness to pay for lifestyle programs: a discrete choice experiment.

Authors:  Jorien Veldwijk; Mattijs S Lambooij; Paul F van Gils; Jeroen N Struijs; Henriëtte A Smit; G Ardine de Wit
Journal:  BMC Public Health       Date:  2013-11-29       Impact factor: 3.295

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