title: Assessment of children's own health status using visual analogue scale and descriptive system of the EQ-5D-Y: linkage between two systems.
abstract: OBJECTIVE
  The objective of the study is to derive a scoring system for the EQ-5D child-friendly version (EQ-5D-Y) from a population-based sample of children based on their own health state assessments on the descriptive system and the visual analogue scale (VAS).
  
  
  METHODS
  We used data from the 2008 and 2010 Raising Healthy Eating and Active Living Kids in Alberta surveys of grade five students aged primarily 10-11 years and their parents in the Canadian province of Alberta. We applied a random split sample approach. Two-thirds of the sample (modeling sample) was used for the estimation of the EQ-5D-Y VAS. The remaining one-third sample (validation sample) was used for the examination of the prediction accuracy of the estimation model. Multilevel linear regression was used to estimate EQ-5D-Y VAS score and produce EQ-5D-Y index values from the children's self-rated states described in the EQ-5D-Y and the accompanying VAS values.
  
  
  RESULTS
  The mean EQ-5D-Y VAS-based index value was 0.891 (SD 0.133) in the modeling sample and 0.885 (SD 0.134) in the validation sample. The own VAS-based index generally showed logical consistency, with lower values for health states that were logically worse. There was no statistically significant difference between the observed and the predicted VAS values in this sample.
  
  
  CONCLUSIONS
  This study elicited a value set for health states defined by the EQ-5D-Y that is based on respondents' own VAS ratings from a large representative sample of Canadian children. Future study is needed to validate this type of value set among different age groups of children.
authors.affiliation: Department of Public Health Sciences, School of Public Health, University of Alberta, 8303-112 Street, Edmonton, AB, T6G 2 T4, Canada, xiuyun@ualberta.ca.
authors.forename: X Y
authors.initials: XY
authors.lastname: Wu
authors.forename: A
authors.initials: A
authors.lastname: Ohinmaa
authors.forename: J A
authors.initials: JA
authors.lastname: Johnson
authors.forename: P J
authors.initials: PJ
authors.lastname: Veugelers
mesh_terms: D000416:Alberta; D002648:Child; D005260:Female; D006304:Health Status; D006306:Health Surveys / Q000379:methods*; D006801:Humans; D016014:Linear Models; D008297:Male; D011788:Quality of Life; D012044:Regression Analysis; D057566:Self Report; D064232:Visual Analog Scale
references.citation: J Clin Epidemiol. 2004 Nov;57(11):1161-6
references.pmid: 15567632
references.citation: Int J Behav Nutr Phys Act. 2012 Mar 13;9:27
references.pmid: 22413778
references.citation: Value Health. 2009 Jun;12(4):587-96
references.pmid: 19900257
references.citation: Ann Med. 2001 Jul;33(5):337-43
references.pmid: 11491192
references.citation: Med Care. 2005 Mar;43(3):203-20
references.pmid: 15725977
references.citation: Pharmacoeconomics. 1999 Feb;15(2):141-55
references.pmid: 10351188
references.citation: Pediatrics. 2005 May;115(5):e600-14
references.pmid: 15867026
references.citation: Eur Respir J. 1997 Oct;10(10):2285-94
references.pmid: 9387955
references.citation: Qual Life Res. 2010 Aug;19(6):875-86
references.pmid: 20405245
references.citation: Eur J Public Health. 2011 Apr;21(2):178-83
references.pmid: 20430806
references.citation: Qual Life Res. 2010 Aug;19(6):887-97
references.pmid: 20401552
references.citation: Health Econ. 2006 Jul;15(7):653-64
references.pmid: 16498700
references.citation: Qual Life Res. 2005 Aug;14(6):1523-32
references.pmid: 16110932
references.citation: Control Clin Trials. 1989 Dec;10(4):407-15
references.pmid: 2691207
references.citation: Pharmacoeconomics. 2007;25(10):817-28
references.pmid: 17887804
references.citation: J Health Econ. 1986 Mar;5(1):1-30
references.pmid: 10311607
references.citation: Qual Life Res. 1993 Jun;2(3):221-6
references.pmid: 8401458
references.citation: Med Decis Making. 2000 Jul-Sep;20(3):281-9
references.pmid: 10929850
references.citation: Health Econ. 2002 Jun;11(4):341-53
references.pmid: 12007165
references.citation: Qual Life Res. 2000 Feb;9(1):29-38
references.pmid: 10981204
references.citation: Am J Manag Care. 1997 May;3 Suppl:S8-20
references.pmid: 10180342
references.citation: Can J Public Health. 2010 Mar-Apr;101(2):128-32
references.pmid: 20524377
references.citation: Int J Technol Assess Health Care. 2009 Jul;25(3):391-9
references.pmid: 19619359
references.citation: Qual Life Res. 2010 Sep;19(7):969-76
references.pmid: 20446044
references.citation: Health Econ. 2003 Aug;12(8):697-702
references.pmid: 12898666
references.citation: Pharmacoeconomics. 1998 Apr;13(4):421-33
references.pmid: 10178666
references.citation: Qual Life Res. 1999 Jun;8(4):303-10
references.pmid: 10472162
references.citation: Pharmacoeconomics. 2007;25(9):713-26
references.pmid: 17803331
references.citation: Med Care. 2003 May;41(5):582-92
references.pmid: 12719681
references.citation: Pharmacoeconomics. 2011 Aug;29(8):641-52
references.pmid: 21604821
references.citation: Health Qual Life Outcomes. 2007 Dec 21;5:70
references.pmid: 18154669
references.citation: Eur J Health Econ. 2005 Mar;6(1):73-82
references.pmid: 15586307
references.citation: Eur J Health Econ. 2003 Sep;4(3):222-31
references.pmid: 15609189
references.citation: Health Econ. 2006 Oct;15(10):1121-32
references.pmid: 16786549
references.citation: Med Care. 1997 Nov;35(11):1095-108
references.pmid: 9366889
references.citation: Health Econ. 1999 Mar;8(2):117-26
references.pmid: 10342725