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National Health Measurements Study: Improving Quality of Life Survey

This study led by experts like Dennis Fryback and Jeffrey W. Elias aims to benchmark national health norms, evaluate HRQOL measures, and develop prediction models for improved healthcare outcomes.

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National Health Measurements Study: Improving Quality of Life Survey

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  1. NationalHealth Measurement StudyDennis Fryback PIP01AG020679Jeffrey W. Elias Ph.D - NIA DHHS/NIH/NIA/BSR

  2. Project 1: Complete national survey benchmarking cross-sectional norms simultaneously on 5 Health Related QOL measures: • SF36.v2 QWB-SA HUI2/3. • EQ-5D & HALex

  3. National Health Measurement Study • Project 1 (Leader Dennis Fryback _University of Wisconsin) • a) requires a computer assisted telephone interview (random digit dialed) of 2,800 non-institutionalized persons , age 35-89 to establish age-specific and gender norms (large subset of African Americans) simultaneously on the 5 HRQOL measures. • b) allows discrimination among common self-reported conditions and means and SD’s for persons reporting and not reporting each condition

  4. National Health Measurement Study • c) Project 1 • will develop cross-walk regression equations between pairs of measures to eventually allow predictions of summary scores on each measure from the other measures. • d) will develop a public use data set.

  5. National Health Measurement Study • Project 2 (Leader Robert Kaplan UCLA) • a) will compare measures of HRQOL in cohorts of patients with heart failure (N = 450) or cataracts N= 450). • b) evaluates the responsiveness of measures to change in status and treatment over time (1-6 months post intervention).

  6. National Health Measurement Study • Project 3 (Leader Theodore Ganiats UCSD) • a) develop measures of symptom duration that patients think that are important for 5 disease states • b) quantitatively evaluate how symptom duration affects valuation of HRQOL via vignettes and HRQOL scales

  7. National Health Measurement Study • Project 4 (Leader Ronald Hays UCLA) • a) assess impact of psychometric equivalence of mode of administration: self, mailed, telephone interview administered • b) examine central tendency, missing data, variance, reliability, item difficulty, item discrimination

  8. National Health Measurement Study

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