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Quality of Life Research

Erschienen in:

01.04.2013

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

verfasst von: Rafael A. Pinedo-Villanueva, David Turner, Andrew Judge, James P. Raftery, Nigel K. Arden

Erschienen in: Quality of Life Research | Ausgabe 3/2013

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Abstract

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.

Vorheriger Artikel Health-related quality of life of infants from ethnic minority groups: the Generation R Study

Nächster Artikel Health-related quality of life and utility scores in short-term survivors of pediatric acute lymphoblastic leukemia

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Titel: Mapping the Oxford hip score onto the EQ-5D utility index
verfasst von: Rafael A. Pinedo-Villanueva
David Turner
Andrew Judge
James P. Raftery
Nigel K. Arden
Publikationsdatum: 01.04.2013
Verlag: Springer Netherlands
Erschienen in: Quality of Life Research / Ausgabe 3/2013
Print ISSN: 0962-9343
Elektronische ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-012-0174-y

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Abstract

Purpose

Methods

Results

Conclusion

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