Mapping the Oxford hip score onto the EQ-5D utility index.

PURPOSE: To assess different mapping methods for the estimation of a group's mean EQ-5D score based on responses to the Oxford hip score (OHS) questionnaire. METHODS: Four models were considered: a) linear regression using total OHS as a continuous regressor; b) linear regression employing resp...

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Main Authors: Pinedo-Villanueva, R, Turner, D, Judge, A, Raftery, J, Arden, N
Format: Journal article
Language:English
Published: 2013
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author Pinedo-Villanueva, R
Turner, D
Judge, A
Raftery, J
Arden, N
author_facet Pinedo-Villanueva, R
Turner, D
Judge, A
Raftery, J
Arden, N
author_sort Pinedo-Villanueva, R
collection OXFORD
description PURPOSE: To assess different mapping methods for the estimation of a group's mean EQ-5D score based on responses to the Oxford hip score (OHS) questionnaire. METHODS: Four models were considered: a) linear regression using total OHS as a continuous regressor; b) linear regression employing responses to the twelve OHS questions as categorical predictors; c) two-part approach combining logistic and linear regression; and d) response mapping. The models were internally validated on the estimation data set, which included OHS and EQ-5D scores for total hip replacements, both before and six months after procedure for 1,759 operations. An external validation was also performed. RESULTS: All models estimated the mean EQ-5D score within 0.005 of an observed health-state utility estimate, ordinary least squares (OLS) continuous being the most accurate and OLS categorical the most consistent. Age, gender and deprivation did not improve the models. More accurate estimations at the individual level were achieved for higher scores of observed OHS and EQ-5D. CONCLUSION: Based on these results, when EQ-5D scores are not available, answers to the OHS questionnaire can be used to estimate a group's mean EQ-5D with a high degree of accuracy.
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spelling oxford-uuid:812073d3-531b-4bd7-8545-4272e0b3f1942022-03-26T21:28:11ZMapping the Oxford hip score onto the EQ-5D utility index.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:812073d3-531b-4bd7-8545-4272e0b3f194EnglishSymplectic Elements at Oxford2013Pinedo-Villanueva, RTurner, DJudge, ARaftery, JArden, NPURPOSE: To assess different mapping methods for the estimation of a group's mean EQ-5D score based on responses to the Oxford hip score (OHS) questionnaire. METHODS: Four models were considered: a) linear regression using total OHS as a continuous regressor; b) linear regression employing responses to the twelve OHS questions as categorical predictors; c) two-part approach combining logistic and linear regression; and d) response mapping. The models were internally validated on the estimation data set, which included OHS and EQ-5D scores for total hip replacements, both before and six months after procedure for 1,759 operations. An external validation was also performed. RESULTS: All models estimated the mean EQ-5D score within 0.005 of an observed health-state utility estimate, ordinary least squares (OLS) continuous being the most accurate and OLS categorical the most consistent. Age, gender and deprivation did not improve the models. More accurate estimations at the individual level were achieved for higher scores of observed OHS and EQ-5D. CONCLUSION: Based on these results, when EQ-5D scores are not available, answers to the OHS questionnaire can be used to estimate a group's mean EQ-5D with a high degree of accuracy.
spellingShingle Pinedo-Villanueva, R
Turner, D
Judge, A
Raftery, J
Arden, N
Mapping the Oxford hip score onto the EQ-5D utility index.
title Mapping the Oxford hip score onto the EQ-5D utility index.
title_full Mapping the Oxford hip score onto the EQ-5D utility index.
title_fullStr Mapping the Oxford hip score onto the EQ-5D utility index.
title_full_unstemmed Mapping the Oxford hip score onto the EQ-5D utility index.
title_short Mapping the Oxford hip score onto the EQ-5D utility index.
title_sort mapping the oxford hip score onto the eq 5d utility index
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