Evaluating quality-adjusted life years: Estimation of the Health Utility Index (HUI2) from the SF-36

被引:124
作者
Nichol, MB [1 ]
Sengupta, N [1 ]
Globe, DR [1 ]
机构
[1] Univ So Calif, Los Angeles, CA 90033 USA
关键词
Health Utility Index; SF-36; quality-adjusted life years; health utilities;
D O I
10.1177/02729890122062352
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
Quality-adjusted life years (QALYs) are well recognized as a valid measure for outcomes in cost-effectiveness analyses. A summary health utility score is necessary to evaluate QALYs. The objective of this study was to predict a summary utility score (represented by the Health Utility Index [HUI2]) from scores on the SF-36. Methods. A structural equation framework was applied to longitudinal data collected from 1992 to 1995 on a sample of patients insured by Southern California Kaiser Permanente (N = 6921). An ordinary least squares (OLS) method was used to estimate the HUI2. Results. The OLS model on cross-sectional data predicted 50.5% of the observed variance in HUI2 scores. Parameter estimates of all SF-36 components showed statistical significance at the P < 0.05 level. Conclusions. Results of this study provide a quantitative link between two important measures of health status. The present model can be used to estimate health utility summary scores in studies that have collected SF-36 data.
引用
收藏
页码:105 / 112
页数:8
相关论文
共 21 条
[1]  
Belsley D.A., 1980, Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
[2]   RELIABILITY OF THE HEALTH UTILITIES INDEX - MARK-III USED IN THE 1991 CYCLE-6 CANADIAN GENERAL SOCIAL SURVEY HEALTH QUESTIONNAIRE [J].
BOYLE, MH ;
FURLONG, W ;
FEENY, D ;
TORRANCE, GW ;
HATCHER, J .
QUALITY OF LIFE RESEARCH, 1995, 4 (03) :249-257
[3]   Deriving a preference-based single index from the UK SF-36 Health Survey [J].
Brazier, J ;
Usherwood, T ;
Harper, R ;
Thomas, K .
JOURNAL OF CLINICAL EPIDEMIOLOGY, 1998, 51 (11) :1115-1128
[4]   Heterogeneity in the relationship between the time tradeoff and Short Form-36 for HIV-infected and primary care patients [J].
Bult, JR ;
Hunink, MGM ;
Tsevat, J ;
Weinstein, MC .
MEDICAL CARE, 1998, 36 (04) :523-532
[5]  
CRONBACH LJ, 1951, PSYCHOMETRIKA, V16, P297, DOI DOI 10.1007/BF02310555
[6]   Predicting quality of well-being scores from the SF-36: Results from the Beaver Dam Health Outcomes Study [J].
Fryback, DG ;
Lawrence, WF ;
Martin, PA ;
Klein, R ;
Klein, BEK .
MEDICAL DECISION MAKING, 1997, 17 (01) :1-9
[7]   Economic foundations of cost-effectiveness analysis [J].
Garber, AM ;
Phelps, CE .
JOURNAL OF HEALTH ECONOMICS, 1997, 16 (01) :1-31
[8]  
Hays R D, 1993, Health Econ, V2, P217, DOI 10.1002/hec.4730020305
[9]   Measuring the impact of patient counseling in the outpatient pharmacy setting: The research design of the Kaiser Permanente USC patient consultation study [J].
McCombs, JS ;
Cody, M ;
Besinque, K ;
Borok, G ;
Ershoff, D ;
Groshen, S ;
Hay, J ;
Johnson, KA ;
Nichol, MB ;
Nye, MT .
CLINICAL THERAPEUTICS, 1995, 17 (06) :1188-1206
[10]   Using mixture models to detect sex bias in health outcomes in Bangladesh [J].
Morduch, JJ ;
Stern, HS .
JOURNAL OF ECONOMETRICS, 1997, 77 (01) :259-276