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Bayesian nonparametric estimation of EQ-5D utilities for United States using the existing United Kingdom data.

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  • Author(s): Kharroubi SA;Kharroubi SA
  • Source:
    Health and quality of life outcomes [Health Qual Life Outcomes] 2017 Oct 06; Vol. 15 (1), pp. 195. Date of Electronic Publication: 2017 Oct 06.
  • Publication Type:
    Journal Article; Validation Study
  • Language:
    English
  • Additional Information
    • Source:
      Publisher: BioMed Central Country of Publication: England NLM ID: 101153626 Publication Model: Electronic Cited Medium: Internet ISSN: 1477-7525 (Electronic) Linking ISSN: 14777525 NLM ISO Abbreviation: Health Qual Life Outcomes Subsets: MEDLINE
    • Publication Information:
      Original Publication: [London] : BioMed Central, c2003-
    • Subject Terms:
    • Abstract:
      Background: Valuations of health state descriptors such as EQ-5D or SF6D have been conducted in different countries. There is a scope to make use of the results in one country as informative priors to help with the analysis of a study in another, for this to enable better estimation to be obtained in the new country than analyzing its data separately.
      Methods: Data from 2 EQ-5D valuation studies were analyzed using the time trade-off technique, where values for 42 health states were devised from representative samples of the UK and US populations. A Bayesian non-parametric approach has been applied to predict the health utilities of the US population, where the UK results were used as informative priors in the model to improve their estimation.
      Results: The findings showed that employing additional information from the UK data helped in the production of US utility estimates much more precisely than would have been possible using the US study data alone.
      Conclusion: It is very plausible that this method would serve useful in countries where the conduction of large evaluation studies is not very feasible.
    • References:
      Med Care. 2005 Mar;43(3):203-20. (PMID: 15725977)
      J Health Econ. 2002 Mar;21(2):271-92. (PMID: 11939242)
      Health Policy. 1996 Jul;37(1):53-72. (PMID: 10158943)
      Stat Med. 2010 Jul 10;29(15):1622-34. (PMID: 20209481)
      Med Decis Making. 2008 Nov-Dec;28(6):875-87. (PMID: 18971313)
      Lancet. 1986 Feb 8;1(8476):307-10. (PMID: 2868172)
      Health Econ. 2002 Jun;11(4):341-53. (PMID: 12007165)
      Med Care. 2005 Mar;43(3):221-8. (PMID: 15725978)
      J Clin Epidemiol. 2009 Dec;62(12):1323-31. (PMID: 19615856)
      Med Care. 2002 Feb;40(2):113-28. (PMID: 11802084)
      Ann Med. 2001 Jul;33(5):358-70. (PMID: 11491195)
      Med Care. 1997 Nov;35(11):1095-108. (PMID: 9366889)
      J Health Econ. 2007 May 1;26(3):597-612. (PMID: 17069909)
      Chest. 1998 Oct;114(4):998-1007. (PMID: 9792568)
      Value Health. 2014 Jun;17 (4):397-405. (PMID: 24969000)
      Appl Health Econ Health Policy. 2015 Aug;13(4):409-20. (PMID: 25896874)
      Med Care. 1996 Jul;34(7):702-22. (PMID: 8676608)
      Med Decis Making. 1994 Jan-Mar;14(1):9-18. (PMID: 8152361)
      Health Serv Res. 1988 Jun;23(2):203-35. (PMID: 3384669)
      Soc Sci Med. 2007 Mar;64(6):1242-52. (PMID: 17157971)
      Value Health. 2013 Sep-Oct;16(6):1032-45. (PMID: 24041353)
      Popul Health Metr. 2011 Jun 23;9(1):17. (PMID: 21699675)
    • Contributed Indexing:
      Keywords: EQ-5D; Non-parametric Bayesian methods; Preference-based health measure; Time trade-off
    • Publication Date:
      Date Created: 20171008 Date Completed: 20180223 Latest Revision: 20191210
    • Publication Date:
      20240513
    • Accession Number:
      PMC5639572
    • Accession Number:
      10.1186/s12955-017-0770-1
    • Accession Number:
      28985757