An assessment of the discriminative ability of the EQ-5D(index), SF-6D, and EQ VAS, using sociodemographic factors and clinical conditions

Garry R. Barton; Tracey H. Sach; Michael Doherty; Anthony J. Avery; Claire Jenkinson; Kenneth R. Muir

doi:10.1007/s10198-007-0068-z

An assessment of the discriminative ability of the EQ-5D(index), SF-6D, and EQ VAS, using sociodemographic factors and clinical conditions

Garry R. Barton, Tracey H. Sach, Michael Doherty, Anthony J. Avery, Claire Jenkinson, Kenneth R. Muir

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

53 Citations (Scopus)

Abstract

Objective: To assess whether three health-related quality-of-life (HRQL) measures (the EQ-5Dindex, SF-6D, and EQ VAS) can discriminate between the HRQL of different groups of individuals.

Methods: In one UK general practice a cross-sectional survey requested information on six sociodemographic factors, 10 clinical conditions, and the three HRQL measures. Regression analyses were used to assess whether there was a significant difference in HRQL between groups with different sociodemographic factors and those with and without clinical conditions.

Results: One thousand eight hundred and sixty-five questionnaires were returned. There was a significant difference between the HRQL of the majority of different groups according to each HRQL measure. However, not all of the measures could discriminate between groups of different ethnicity, gender, or smoking status, or those with and without asthma, stroke, cancer or diabetes.

Conclusion: The HRQL of the majority of different groups could be discriminated between by the EQ-5Dindex, SF-6D, and EQ VAS.

Original language	English
Pages (from-to)	237-249
Number of pages	13
Journal	The European Journal of Health Economics
Volume	9
Issue number	3
DOIs	https://doi.org/10.1007/s10198-007-0068-z
Publication status	Published - 2008

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@article{6f17369a7f5d44f0a0e411c18299aeaa,

title = "An assessment of the discriminative ability of the EQ-5D(index), SF-6D, and EQ VAS, using sociodemographic factors and clinical conditions",

abstract = "Objective: To assess whether three health-related quality-of-life (HRQL) measures (the EQ-5Dindex, SF-6D, and EQ VAS) can discriminate between the HRQL of different groups of individuals. Methods: In one UK general practice a cross-sectional survey requested information on six sociodemographic factors, 10 clinical conditions, and the three HRQL measures. Regression analyses were used to assess whether there was a significant difference in HRQL between groups with different sociodemographic factors and those with and without clinical conditions. Results: One thousand eight hundred and sixty-five questionnaires were returned. There was a significant difference between the HRQL of the majority of different groups according to each HRQL measure. However, not all of the measures could discriminate between groups of different ethnicity, gender, or smoking status, or those with and without asthma, stroke, cancer or diabetes. Conclusion: The HRQL of the majority of different groups could be discriminated between by the EQ-5Dindex, SF-6D, and EQ VAS.",

author = "Barton, {Garry R.} and Sach, {Tracey H.} and Michael Doherty and Avery, {Anthony J.} and Claire Jenkinson and Muir, {Kenneth R.}",

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pages = "237--249",

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An assessment of the discriminative ability of the EQ-5D(index), SF-6D, and EQ VAS, using sociodemographic factors and clinical conditions. / Barton, Garry R.; Sach, Tracey H.; Doherty, Michael; Avery, Anthony J.; Jenkinson, Claire; Muir, Kenneth R.

In: The European Journal of Health Economics, Vol. 9, No. 3, 2008, p. 237-249.

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

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AU - Sach, Tracey H.

AU - Doherty, Michael

AU - Avery, Anthony J.

AU - Jenkinson, Claire

AU - Muir, Kenneth R.

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N2 - Objective: To assess whether three health-related quality-of-life (HRQL) measures (the EQ-5Dindex, SF-6D, and EQ VAS) can discriminate between the HRQL of different groups of individuals. Methods: In one UK general practice a cross-sectional survey requested information on six sociodemographic factors, 10 clinical conditions, and the three HRQL measures. Regression analyses were used to assess whether there was a significant difference in HRQL between groups with different sociodemographic factors and those with and without clinical conditions. Results: One thousand eight hundred and sixty-five questionnaires were returned. There was a significant difference between the HRQL of the majority of different groups according to each HRQL measure. However, not all of the measures could discriminate between groups of different ethnicity, gender, or smoking status, or those with and without asthma, stroke, cancer or diabetes. Conclusion: The HRQL of the majority of different groups could be discriminated between by the EQ-5Dindex, SF-6D, and EQ VAS.

AB - Objective: To assess whether three health-related quality-of-life (HRQL) measures (the EQ-5Dindex, SF-6D, and EQ VAS) can discriminate between the HRQL of different groups of individuals. Methods: In one UK general practice a cross-sectional survey requested information on six sociodemographic factors, 10 clinical conditions, and the three HRQL measures. Regression analyses were used to assess whether there was a significant difference in HRQL between groups with different sociodemographic factors and those with and without clinical conditions. Results: One thousand eight hundred and sixty-five questionnaires were returned. There was a significant difference between the HRQL of the majority of different groups according to each HRQL measure. However, not all of the measures could discriminate between groups of different ethnicity, gender, or smoking status, or those with and without asthma, stroke, cancer or diabetes. Conclusion: The HRQL of the majority of different groups could be discriminated between by the EQ-5Dindex, SF-6D, and EQ VAS.

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