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Valuing Health for Regulatory Cost-Effectiveness Analysis (2006)
Board on Health Care Services (HCS)

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. "3 Measures and Strategies for Obtaining Health Benefit Values for Regulatory Analysis." Valuing Health for Regulatory Cost-Effectiveness Analysis. Washington, DC: The National Academies Press, 2006.

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Valuing Health for Regulatory Cost-Effectiveness Analysis

TABLE 3-7 Correlations and Cross-Walks of HRQL Measures

Source

Sampling Frame

Sample Size/Type/Year

Gold et al. (1998)

U.S. civilian community-based population 0–85+

N~720,000/representative, random/1987–1992

Rizzo et al. (1998); Rizzo and Sindelar (1999)

U.S. civilian community-based population age 18+

N = 19,525/NMES, nationally representative (weighted) randomized sample/1987

Nichol et al. (2001)

Enrollees insured by Southern CA Kaiser Permanente

N = 6,921/longitudinal study; random and geographic subsamples stratified by Rx use/1992–1995

Franks et al. (2003)

NY community health center patients age 18+

N = 240/Convenience sample, predominantly Hispanic and black/NA

Franks et al. (2004)

U.S. civilian community-based population age 18+

N~13,000 complete responses to both EQ-5D and SF-12 questions/MEPS household sample/2000

Lawrence and Fleishman (2004)

See Franks et al. (2004)

See Franks et al. (2004); sample split in half for derivation and validation

Hawthorne et al. (2001)

Australian community population and hospital inpatients and outpatients age 16+

Community: N = 396 Inpatients: N = 266

Outpatients: N = 334/NA

NOTES: ADL = activities of daily living; AQoL = Assessment of Quality of Life instrument; EVGGFP = five-item global health status measure: excellent, very good, good, fair, poor; NHIS = National Health Interview Survey; NMES = National Medical Expenditure Survey; WHOQOL-Bref = World Health Organization Quality of Life abbreviated assessment instrument

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