Estimating the association between SF-36 responses and EQ-5D utility values by direct mapping.

The ability to make reliable translations or mappings from generic or disease-specific health status measures into health state utilities would be of particular interest to health economists, given the increasing importance of the quality adjusted life year as the standard metric of outcome in economic evaluation. As a result, a number of attempts have been made to estimate the utility values associated with responses to generic instruments such as the SF-36.

[1]  Paula Lorgelly.  Mapping SF-36 to utilities: how can it be done , 2001 .

[2]  J E Ware,et al.  Overview of the SF-36 Health Survey and the International Quality of Life Assessment (IQOLA) Project. , 1998, Journal of clinical epidemiology.

[3]  S. James Press,et al.  Univariate and Multivariate Log-Linear and Logistic Models , 1973 .

[4]  J. Brazier,et al.  The estimation of a preference-based measure of health from the SF-36. , 2002, Journal of health economics.

[5]  A. Kasuya.  EuroQol--a new facility for the measurement of health-related quality of life. , 1990, Health policy.

[6]  M Johannesson,et al.  The Relationship between Health-state Utilities and the SF-12 in a General Population , 1999, Medical decision making : an international journal of the Society for Medical Decision Making.

[7]  A. Harvey.  Estimating Regression Models with Multiplicative Heteroscedasticity , 1976 .

[8]  J. A. Calvin.  Regression Models for Categorical and Limited Dependent Variables , 1998 .

[9]  A. Shmueli,et al.  Subjective Health Status and Health Values in the General Population , 1999, Medical decision making : an international journal of the Society for Medical Decision Making.

[10]  Zvi Griliches,et al.  Specification Error in Probit Models , 1985 .

[11]  P. Dolan,et al.  The time trade-off method: results from a general population study. , 1996, Health economics.

[12]  R. Deyo,et al.  The practicality and validity of directly elicited and SF-36 derived health state preferences in patients with low back pain. , 2002, Health economics.

[13]  J. Brazier,et al.  Deriving a preference-based single index from the UK SF-36 Health Survey. , 1998, Journal of clinical epidemiology.

[14]  Madhavi Bajekal,et al.  Health Survey for England , 2004 .

[15]  R. McKelvey,et al.  A statistical model for the analysis of ordinal level dependent variables , 1975 .

[16]  S. Sullivan,et al.  Comparison of Directly Elicited Preferences to Preferences Derived from the SF-36 in Adults with Asthma , 2003, Medical decision making : an international journal of the Society for Medical Decision Making.

[17]  W F Lawrence,et al.  Predicting Quality of Well-being Scores from the SF-36 , 1997, Medical decision making : an international journal of the Society for Medical Decision Making.

[18]  A. Williams.  EuroQol : a new facility for the measurement of health-related quality of life , 1990 .