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Tuesday, 17 October 2006 - 9:00 AM
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THE NATIONAL HEALTH MEASUREMENT STUDY: DO DIFFERENT GENERIC INDICES OF HEALTH-RELATED QUALITY OF LIFE YIELD SIMILAR POPULATION NORMS?

Dennis G. Fryback, PhD1, Nancy Cross Dunham, PhD1, Mari Palta, PhD1, Janel Hanmer1, Shani Herrington1, Dasha Cherepanov1, Jennifer Buechner1, Theodore Ganiats, MD2, Ron Hays, PhD3, Robert M. Kaplan, PhD3, Paul Kind, MPhil4, and David Feeny, PhD5. (1) University of Wisconsin, Madison, WI, (2) University of California, San Diego, La Jolla, CA, (3) University of California, Los Angeles, Los Angeles, CA, (4) Centre for Health Economics, University of York, York, United Kingdom, (5) Health Utilities, Inc., and Kaiser Permanente Northwest Center for Health Research, Portland, OR

PURPOSE: The National Health Measurement Study (NHMS) is the first to collect data with four widely used generic health status classification systems: EQ-5D, HUI(2/3), SF-36.v2 and QWB-SA. The NHMS will determine US age-specific HRQoL norms for non-institutionalized adults aged 35-89 using these indices, document US HRQoL sex and race disparities if they exist, and quantify relationships among these indices and latent concepts of health. US means by age are reported here.

METHODS: RDD telephone survey obtained a population-based sample of US adults aged 35 to 89 years. Blacks and older individuals were over-sampled. The four main instruments were administered in random order, followed by HALex, BRFSS QoL questions, scales of psychological well-being, and questions on 13 health conditions, demographics, SES and discrimination. Initial analyses used 1,262 interviews completed between June 2005 and February 2006. SF-36 responses were converted to SF-6D scores. Correlations were calculated, and mean scores for each index were computed by age group, sex and race. Analyses used survey weights to adjust to US population with SAS 8.02.

RESULTS: Correlations among measures were high, ranging from 0.61 to 0.87. EQ-5D (US weights) yielded the highest mean HRQoL summary scores, QWB-SA the lowest. HRQoL decreased with increasing age, with measures having approximately parallel slopes.

CONCLUSIONS: HRQoL estimates from these generic indices are highly correlated and show remarkably similar patterns when administered simultaneously and used to compute age-specific norms. By September 2006, approximately 3,000 NHMS interviews will be completed. Individual data with linked census track data will be released to the public in 2008, providing a rich resource for research into health-related quality of life in US adults.


See more of Concurrent Abstracts G: Measurement of Health Status and Utility
See more of The 28th Annual Meeting of the Society for Medical Decision Making (October 15-18, 2006)