EQ5DSUITE: AN R PACKAGE AND WEB INTERFACE FOR DESCRIBING AND ANALYSING EQ-5D DATA
Author(s)
Anabel Estévez-Carrillo, MSc1, Oliver Rivero-Arias, MSc, DPhil2, Kim Rand, PhD3.
1Maths in Health, Klimmen, Netherlands, 2University of Oxford, Oxford, United Kingdom, 3Maths In Health, Fjerdingby, Norway.
1Maths in Health, Klimmen, Netherlands, 2University of Oxford, Oxford, United Kingdom, 3Maths In Health, Fjerdingby, Norway.
OBJECTIVES: Although guidance exists for the analysis of EQ-5D data, implementation in practice often relies on bespoke spreadsheets and scripts, limiting reproducibility and comparability across studies. We developed eq5dsuite, an open-source R package with a companion web-based interface that provides a unified framework for EQ-5D valuation and descriptive analyses. Its application is demonstrated using real-world patient outcomes data.
METHODS: eq5dsuite supports valuation of EQ-5D-3L, EQ-5D-5L, and EQ-5D-Y-3L responses using published country-specific value sets and established crosswalk methods. The package provides a structured set of functions for analysing EQ-5D profiles, EQ-5D values, and EQ-VAS data, implementing analyses recommended in published guidance in a consistent and reproducible manner. To illustrate its functionality, the package was applied to publicly available English NHS PROMs data to examine pre- and post-operative outcomes among hip replacement patients and to compare baseline health status between patients undergoing knee replacement and groin hernia repair. A companion Shiny application provides equivalent functionality through a graphical user interface.
RESULTS: Among hip replacement patients, problems before surgery were most frequently reported in the pain/discomfort, usual activities, and mobility dimensions. Mean EQ-5D values increased from 0.365 before surgery to 0.793 after surgery, while mean EQ-VAS scores increased from 65.5 to 77.0. In a separate baseline comparison, pre-operative knee replacement patients reported lower mean EQ-5D values than groin hernia patients (0.404 vs 0.788), consistent with greater impairment across most dimensions among knee replacement patients.
CONCLUSIONS: eq5dsuite provides a standardised framework for valuation and descriptive analysis of EQ-5D data within reproducible analytical workflows. Equivalent implementations in Stata and Excel allow the framework to be applied in settings where R is not routinely used, facilitating consistent and reproducible reporting of EQ-5D outcomes in health economics and outcomes research.
METHODS: eq5dsuite supports valuation of EQ-5D-3L, EQ-5D-5L, and EQ-5D-Y-3L responses using published country-specific value sets and established crosswalk methods. The package provides a structured set of functions for analysing EQ-5D profiles, EQ-5D values, and EQ-VAS data, implementing analyses recommended in published guidance in a consistent and reproducible manner. To illustrate its functionality, the package was applied to publicly available English NHS PROMs data to examine pre- and post-operative outcomes among hip replacement patients and to compare baseline health status between patients undergoing knee replacement and groin hernia repair. A companion Shiny application provides equivalent functionality through a graphical user interface.
RESULTS: Among hip replacement patients, problems before surgery were most frequently reported in the pain/discomfort, usual activities, and mobility dimensions. Mean EQ-5D values increased from 0.365 before surgery to 0.793 after surgery, while mean EQ-VAS scores increased from 65.5 to 77.0. In a separate baseline comparison, pre-operative knee replacement patients reported lower mean EQ-5D values than groin hernia patients (0.404 vs 0.788), consistent with greater impairment across most dimensions among knee replacement patients.
CONCLUSIONS: eq5dsuite provides a standardised framework for valuation and descriptive analysis of EQ-5D data within reproducible analytical workflows. Equivalent implementations in Stata and Excel allow the framework to be applied in settings where R is not routinely used, facilitating consistent and reproducible reporting of EQ-5D outcomes in health economics and outcomes research.
Conference/Value in Health Info
2026-11, ISPOR Europe 2026, Vienna, Austria
Value in Health, Volume 29, Issue 12S
Code
P11
Topic
Methodological & Statistical Research, Patient-Centered Research, Real World Data & Information Systems
Topic Subcategory
Health State Utilities, Patient-reported Outcomes & Quality of Life Outcomes
Disease
No Additional Disease & Conditions/Specialized Treatment Areas