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Patient Preferences and Willingness-To-Pay for a Home or Clinic Based Program of Chronic Heart Failure Management: Findings from the Which? Trial

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Listed:
  • Jennifer A Whitty
  • Simon Stewart
  • Melinda J Carrington
  • Alicia Calderone
  • Thomas Marwick
  • John D Horowitz
  • Henry Krum
  • Patricia M Davidson
  • Peter S Macdonald
  • Christopher Reid
  • Paul A Scuffham

Abstract

Background: Beyond examining their overall cost-effectiveness and mechanisms of effect, it is important to understand patient preferences for the delivery of different modes of chronic heart failure management programs (CHF-MPs). We elicited patient preferences around the characteristics and willingness-to-pay (WTP) for a clinic or home-based CHF-MP. Methodology/Principal Findings: A Discrete Choice Experiment was completed by a sub-set of patients (n = 91) enrolled in the WHICH? trial comparing home versus clinic-based CHF-MP. Participants provided 5 choices between hypothetical clinic and home-based programs varying by frequency of nurse consultations, nurse continuity, patient costs, and availability of telephone or education support. Participants (aged 71±13 yrs, 72.5% male, 25.3% NYHA class III/IV) displayed two distinct preference classes. A latent class model of the choice data indicated 56% of participants preferred clinic delivery, access to group CHF education classes, and lower cost programs (p

Suggested Citation

  • Jennifer A Whitty & Simon Stewart & Melinda J Carrington & Alicia Calderone & Thomas Marwick & John D Horowitz & Henry Krum & Patricia M Davidson & Peter S Macdonald & Christopher Reid & Paul A Scuffh, 2013. "Patient Preferences and Willingness-To-Pay for a Home or Clinic Based Program of Chronic Heart Failure Management: Findings from the Which? Trial," PLOS ONE, Public Library of Science, vol. 8(3), pages 1-8, March.
    • Handle: RePEc:plo:pone00:0058347
    DOI: 10.1371/journal.pone.0058347
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    References listed on IDEAS

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    1. Mickael Bech & Dorte Gyrd‐Hansen, 2005. "Effects coding in discrete choice experiments," Health Economics, John Wiley & Sons, Ltd., vol. 14(10), pages 1079-1083, October.
    2. Esther W. de Bekker‐Grob & Mandy Ryan & Karen Gerard, 2012. "Discrete choice experiments in health economics: a review of the literature," Health Economics, John Wiley & Sons, Ltd., vol. 21(2), pages 145-172, February.
    3. Hole, Arne Risa, 2008. "Modelling heterogeneity in patients' preferences for the attributes of a general practitioner appointment," Journal of Health Economics, Elsevier, vol. 27(4), pages 1078-1094, July.
    4. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132-132.
    5. Emmanouil Mentzakis & Mandy Ryan & Paul McNamee, 2011. "Using discrete choice experiments to value informal care tasks: exploring preference heterogeneity," Health Economics, John Wiley & Sons, Ltd., vol. 20(8), pages 930-944, August.
    6. Mandy Ryan & Karen Gerard & Gillian Currie, 2012. "Using Discrete Choice Experiments in Health Economics," Chapters, in: Andrew M. Jones (ed.), The Elgar Companion to Health Economics, Second Edition, chapter 41, Edward Elgar Publishing.
    7. Danny Campbell & David A. Hensher & Riccardo Scarpa, 2011. "Non-attendance to attributes in environmental choice analysis: a latent class specification," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 54(8), pages 1061-1076, December.
    8. Emily Lancsar & Elizabeth Savage, 2004. "Deriving welfare measures from discrete choice experiments: inconsistency between current methods and random utility and welfare theory," Health Economics, John Wiley & Sons, Ltd., vol. 13(9), pages 901-907, September.
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    Cited by:

    1. Anna Nicolet & Clémence Perraudin & Joël Wagner & Ingrid Gilles & Nicolas Krucien & Isabelle Peytremann-Bridevaux & Joachim Marti, 2022. "Patient and Public Preferences for Coordinated Care in Switzerland: Development of a Discrete Choice Experiment," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 15(4), pages 485-496, July.
    2. Alison Pearce & Mark Harrison & Verity Watson & Deborah J. Street & Kirsten Howard & Nick Bansback & Stirling Bryan, 2021. "Respondent Understanding in Discrete Choice Experiments: A Scoping Review," The Patient: Patient-Centered Outcomes Research, Springer;International Academy of Health Preference Research, vol. 14(1), pages 17-53, January.

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