Catalogue of EQ-5D scores for the United Kingdom

Patrick W. Sullivan; Julia F. Slejko; Mark J. Sculpher; Vahram Ghushchyan

doi:10.1177/0272989X11401031

Catalogue of EQ-5D scores for the United Kingdom

Patrick W. Sullivan^*, Julia F. Slejko, Mark J. Sculpher, Vahram Ghushchyan

^*Corresponding author for this work

Centre for Health Economics

Research output: Contribution to journal › Article › peer-review

Abstract

Background. The National Institute for Health and Clinical Excellence (NICE) has issued guidance on cost-effectiveness analyses, suggesting that preference-based health-related quality of life (HRQL) weights or utilities be based on UK community preferences, preferably using the EQ-5D; ideally all analyses would use the same system for deriving HRQL weights, to encourage consistency and comparability across analyses. Development of a catalogue of EQ-5D scores for a range of health conditions based on UK preferences would help achieve many of these goals. Objective. To provide a UK-based catalogue of EQ-5D index scores. Methods. Methods were consistent with the previously published catalogue of EQ-5D scores for the US. Community-based UK preferences were applied to EQ-5D descriptive questionnaire responses in the US-based Medical Expenditure Panel Survey (MEPS). Ordinary least squares (OLS), Tobit, and censored least absolute deviations (CLAD) regression methods were used to estimate the 'marginal disutility' of each condition controlling for covariates. Results. Pooled MEPS files (2000-2003) resulted in 79,522 individuals with complete EQ-5D scores. Marginal disutilities for 135 chronic ICD-9 and 100 CCC codes are provided. Unadjusted descriptive statistics including mean, median, 25th and 75th percentiles are also reported. Conclusion. This research provides community-based EQ-5D index scores for a wide variety of chronic conditions that can be used to estimate QALYs in cost-effectiveness analyses in the UK. Although using EQ-5D questionnaire responses from the US-based MEPS is less than ideal, the estimates approximate HRQL guidelines by NICE and provide an easily accessible"off-the-shelf" resource for cost-effectiveness and publichealth applications.

Original language	English
Pages (from-to)	800-804
Number of pages	5
Journal	Medical Decision Making
Volume	31
Issue number	6
DOIs	https://doi.org/10.1177/0272989X11401031
Publication status	Published - 1 Nov 2011

Keywords

cost utility analysis
cost-effectiveness analysis
decision analysis
economic aspects of disease
Monte Carlo methods
pharmacoeconomics
probabilistic sensitivity analysis
productivity loss
simulation methods

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10.1177/0272989X11401031

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abstract = "Background. The National Institute for Health and Clinical Excellence (NICE) has issued guidance on cost-effectiveness analyses, suggesting that preference-based health-related quality of life (HRQL) weights or utilities be based on UK community preferences, preferably using the EQ-5D; ideally all analyses would use the same system for deriving HRQL weights, to encourage consistency and comparability across analyses. Development of a catalogue of EQ-5D scores for a range of health conditions based on UK preferences would help achieve many of these goals. Objective. To provide a UK-based catalogue of EQ-5D index scores. Methods. Methods were consistent with the previously published catalogue of EQ-5D scores for the US. Community-based UK preferences were applied to EQ-5D descriptive questionnaire responses in the US-based Medical Expenditure Panel Survey (MEPS). Ordinary least squares (OLS), Tobit, and censored least absolute deviations (CLAD) regression methods were used to estimate the 'marginal disutility' of each condition controlling for covariates. Results. Pooled MEPS files (2000-2003) resulted in 79,522 individuals with complete EQ-5D scores. Marginal disutilities for 135 chronic ICD-9 and 100 CCC codes are provided. Unadjusted descriptive statistics including mean, median, 25th and 75th percentiles are also reported. Conclusion. This research provides community-based EQ-5D index scores for a wide variety of chronic conditions that can be used to estimate QALYs in cost-effectiveness analyses in the UK. Although using EQ-5D questionnaire responses from the US-based MEPS is less than ideal, the estimates approximate HRQL guidelines by NICE and provide an easily accessible{"}off-the-shelf{"} resource for cost-effectiveness and publichealth applications.",

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KW - Monte Carlo methods

KW - pharmacoeconomics

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KW - productivity loss

KW - simulation methods

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JO - Medical Decision Making

JF - Medical Decision Making

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ER -

Catalogue of EQ-5D scores for the United Kingdom

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Keywords

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