Mapping Analysis to Predict the Associated EQ-5D-3L Utility Values from the Oxford Hip Score
4 affiliations
- 1Edinburgh Orthopaedics, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, UK
- 2Usher Institute, School of Population Health Sciences, University of Edinburgh, Edinburgh EH16 4UX, UK
- 3South West London Elective Orthopaedic Centre, Epsom and St. Helier University Hospitals NHS Trust, Epsom KT18 7EG, UK
- 4Department of Mechanical Engineering, Imperial College, London SW7 2PG, UK
Abstract
Purpose: The aim was to assess mapping models to predict the EQ-5D-3L utility from the Oxford hip score (OHS) and validate these before and after total hip arthroplasty (THA). Methods: Separate retrospective cohorts of patients who had undergone THA in different centres were used to create (n = 3981) and validate (n = 7168) the prediction models. Patient demographics, body mass index (BMI), OHS and EQ-5D were collected preoperatively and one year postoperatively. Predictive models were formulated using generalised linear regression. Results: In the modelling cohort, mean OHS improved from 20.8 preoperatively to 39.6 postoperatively; the mean EQ-5D improved from 0.391 preoperatively to 0.788 postoperatively. Significant (p < 0.001) correlations were observed between OHS and EQ-5D preoperatively (r = 0.690) and postoperatively (r = 0.777) and for change (r = 0.611) and combined scores (r = 0.812). Four models predicting EQ-5D from OHS explained 38.5% to 65.9% of the variance. Age and BMI did not improve model fit. Predicted mean EQ-5D utilities differed statistically from observed values for most models, but all differences were below the minimal clinical important difference (MCID). Including individual OHS items marginally improved performance (<2%). External validation showed good agreement at the cohort level but lower accuracy for individual-level prediction (27.7% for change to 65.0% for postoperative scores to be within the MCID). Conclusions: The EQ-5D-3L utility index, on a cohort level, may be reliably estimated from the OHS. Predicted individual patient utility error beyond the MCID varied from one-third to more than two-thirds depending on the data assessed and so should not be employed for this purpose on a patient level.
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BibTeX
@article{williamson2026mapping,
title = {{Mapping Analysis to Predict the Associated EQ-5D-3L Utility Values from the Oxford Hip Score}},
author = {Thomas R. Williamson and Yeon J. Lee and David H. Sochart and Gavin J. Macpherson and Paul Gaston and Andrew D. Duckworth and Chloe E. H. Scott and Nicholas D. Clement},
journal = {Journal of Clinical Medicine},
year = {2026},
month = oct,
doi = {10.3390/jcm15218268},
url = {https://www.mdpi.com/2077-0383/15/21/8268},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Mapping Analysis to Predict the Associated EQ-5D-3L Utility Values from the Oxford Hip Score
AU - Thomas R. Williamson
AU - Yeon J. Lee
AU - David H. Sochart
AU - Gavin J. Macpherson
AU - Paul Gaston
AU - Andrew D. Duckworth
AU - Chloe E. H. Scott
AU - Nicholas D. Clement
PY - 2026
DA - 2026/10/23
JO - Journal of Clinical Medicine
DO - 10.3390/jcm15218268
UR - https://www.mdpi.com/2077-0383/15/21/8268
AB - Purpose: The aim was to assess mapping models to predict the EQ-5D-3L utility from the Oxford hip score (OHS) and validate these before and after total hip arthroplasty (THA). Methods: Separate retrospective cohorts of patients who had undergone THA in different centres were used to create (n = 3981) and validate (n = 7168) the prediction models. Patient demographics, body mass index (BMI), OHS and EQ-5D were collected preoperatively and one year postoperatively. Predictive models were formulated using generalised linear regression. Results: In the modelling cohort, mean OHS improved from 20.8 preoperatively to 39.6 postoperatively; the mean EQ-5D improved from 0.391 preoperatively to 0.788 postoperatively. Significant (p < 0.001) correlations were observed between OHS and EQ-5D preoperatively (r = 0.690) and postoperatively (r = 0.777) and for change (r = 0.611) and combined scores (r = 0.812). Four models predicting EQ-5D from OHS explained 38.5% to 65.9% of the variance. Age and BMI did not improve model fit. Predicted mean EQ-5D utilities differed statistically from observed values for most models, but all differences were below the minimal clinical important difference (MCID). Including individual OHS items marginally improved performance (<2%). External validation showed good agreement at the cohort level but lower accuracy for individual-level prediction (27.7% for change to 65.0% for postoperative scores to be within the MCID). Conclusions: The EQ-5D-3L utility index, on a cohort level, may be reliably estimated from the OHS. Predicted individual patient utility error beyond the MCID varied from one-third to more than two-thirds depending on the data assessed and so should not be employed for this purpose on a patient level.
SN - 2077-0383
ER -