This Article Full Text (PDF) National HRQoL Tables References Alert me when this article is cited Alert me if a correction is posted Citation Map Services Email this article to a friend Similar articles in this journal Similar articles in Web of Science Similar articles in PubMed Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via HighWire Citing Articles via Web of Science (37) Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Hanmer, J. Articles by Fryback, D. G. Search for Related Content PubMed PubMed Citation Articles by Hanmer, J. Articles by Fryback, D. G. Social Bookmarking                         What's this?

Report of Nationally Representative Values for the Noninstitutionalized US Adult Population for 7 Health-Related Quality-of-Life Scores

Department of Population Health Sciences, University of Wisconsin–Madison, 644 WARF, 610 Walnut St., Madison, WI 53726; telephone: (608) 265-3298; fax: (608) 263-2820; jehanmer{at}wisc.edu

William F. Lawrence, MD, MS

Agency for Healthcare Research and Quality, Rockville, Maryland

John P. Anderson, PhD

University of California–San Diego

Robert M. Kaplan, PhD

University of California–Los Angeles

Dennis G. Fryback, PhD

Department of Population Health Sciences, University of Wisconsin–Madison

Background. Despite widespread use of generic health-related quality-of-life (HRQoL) scores, few have publicly published nationally representative US values. Purpose. To create current nationally representative values for 7 of the most common HRQoL scores, stratified by age and sex. Methods. The authors used data from the 2001 Medical Expenditures Panel Survey (MEPS) and the 2001 National Health Interview Survey (NHIS), nationally representative surveys of the US noninstitutionalized civilian population. The MEPS was used to calculate 6 HRQoL scores: categorical self-rated health, EuroQoL-5D with US scoring, EuroQoL-5D with UK scoring, EuroQol Visual Analog Scale, mental and physical component summaries from the SF-12, and the SF-6D. The authors estimated Quality of Well-being scale scores from the NHIS. Results. They included 22,523 subjects from MEPS 2001 and 32,472 subjects from NHIS 2001. Most age and sex categories had instrument completion rates above 85%. Females reported lower scores than males across all ages and instruments. In general, those in older age groups reported lower scores than younger age groups, with the exception of the mental component summary from the SF-12. Conclusion. This is one of the first sets of publicly available, nationally representative US values for any standardized HRQoL measure. These values are important for use in both generalized comparisons of health status and in cost-effectiveness analyses.

Key Words: health-related quality of life • EQ-5D • SF-12 • SF-6D • QWB • national norms

Medical Decision Making, Vol. 26, No. 4, 391-400 (2006)
DOI: 10.1177/0272989X06290497


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?

This article has been cited by other articles:

				W. H. Greenblatt, C. Hur, A. B. Knudsen, J. A. Evans, D. C. Chung, and G. S. Gazelle Cost-Effectiveness of Prophylactic Surgery for Duodenal Cancer in Familial Adenomatous Polyposis Cancer Epidemiol. Biomarkers Prev., October 1, 2009; 18(10): 2677 - 2684. [Abstract] [Full Text] [PDF]

				K. M. Koenig, G. C. Davis, M. R. Grove, A. N.A. Tosteson, and K. J. Koval Is Early Internal Fixation Preferred to Cast Treatment for Well-Reduced Unstable Distal Radial Fractures? J. Bone Joint Surg. Am., September 1, 2009; 91(9): 2086 - 2093. [Abstract] [Full Text] [PDF]

				J. A. Salomon, S. Nordhagen, S. Oza, and C. J. L. Murray Are Americans Feeling Less Healthy? The Puzzle of Trends in Self-rated Health Am. J. Epidemiol., August 1, 2009; 170(3): 343 - 351. [Abstract] [Full Text] [PDF]

				J. Sorensen, M. Davidsen, C. Gudex, K. M. Pedersen, and H. Bronnum-Hansen Danish EQ-5D population norms Scand J Public Health, July 1, 2009; 37(5): 467 - 474. [Abstract] [PDF]

				S. A. Robert, D. Cherepanov, M. Palta, N. C. Dunham, D. Feeny, and D. G. Fryback Socioeconomic Status and Age Variations in Health-Related Quality of Life: Results From the National Health Measurement Study J Gerontol B Psychol Sci Soc Sci, May 1, 2009; 64B(3): 378 - 389. [Abstract] [Full Text] [PDF]

				D. Khanna, R. M. Kaplan, M. H. Eckman, R. D. Hays, A. C. Leonard, S. S. Ginsburg, and J. Tsevat A Randomized Study of Scleroderma Health State Values: A Picture Is Worth a Thousand Words, and Quite a Few Utilities Med Decis Making, January 1, 2009; 29(1): 7 - 14. [Abstract] [PDF]

				J. D. Goldhaber-Fiebert, N. K. Stout, J. A. Salomon, K. M. Kuntz, and S. J. Goldie Cost-Effectiveness of Cervical Cancer Screening With Human Papillomavirus DNA Testing and HPV-16,18 Vaccination J Natl Cancer Inst, March 5, 2008; 100(5): 308 - 320. [Abstract] [Full Text] [PDF]

				D. J. Gaskin and K. D. Frick Race and Ethnic Disparities in Valuing Health Med Decis Making, January 1, 2008; 28(1): 12 - 20. [Abstract] [PDF]

				K. Noyes, A. W. Dick, and R. G. Holloway The Implications of Using US-Specific EQ-5D Preference Weights for Cost-Effectiveness Evaluation Med Decis Making, May 1, 2007; 27(3): 327 - 334. [Abstract] [PDF]

				M. Helfand Web-Based Resources for Modelers from Medical Decision Making Med Decis Making, July 1, 2006; 26(4): 300 - 300. [PDF]

				D. Feeny As Good As It Gets but Good Enough for Which Applications? Med Decis Making, July 1, 2006; 26(4): 307 - 309. [PDF]

				D. A. Revicki National Health Preference Data: A Useful Resource for Health Services Research Med Decis Making, July 1, 2006; 26(4): 310 - 312. [PDF]