Comparative Performance of the EQ-5D-5L and PROMIS-10 in the Elderly: Data From the EQ-DAPHNIE Project in Five Countries
Author(s)
Thao D.B Nguyen, BSc, Arto Ohinmaa, PhD, Hilary Short, MSc, Fatima Al Sayah, PhD.
University of Alberta, Edmonton, AB, Canada.
University of Alberta, Edmonton, AB, Canada.
OBJECTIVES: This study compared the performance of the EQ-5D-5L and PROMIS-10 in measuring health-related quality of life (HRQL) among older adults in five English-speaking countries.
METHODS: Using EQ-DAPHNIE project data, 5403 respondents age ≥65 years were included from Canada (n=1312), United States (US) (n=1069), United Kingdom (UK) (n=970), Australia (n=1224), and New Zealand (n=828), with overall and age-subgroup analyses conducted for each country. Spearman correlations assessed convergent and divergent validity, and known-groups analysis examined discriminative validity of EQ-5D-5L index (Canadian value set), and PROMIS-10 Global Physical Health (GPH) and mental health (GMH) T-scores.
RESULTS: Respondents averaged 72.6 years and 48.2% were female across the five countries. Canada reported the lowest EQ-5D-5L index score (mean 0.817; SD 0.145) and PROMIS-10 GPH (47.0; 4.5) and GMH (49.3; 4.9) T-scores, while UK reported the highest scores (EQ-5D-5L 0.839; 0.154; PROMIS-10 GPH 48.5; 4.6). New Zealand reported the highest PROMIS-10 GMH T-score (51.5; 4.0). Convergent and divergent validity were demonstrated across all five countries: EQ-5D-5L mobility and pain/discomfort dimensions had moderate/strong correlations (0.45-0.82) with PROMIS-10 physical health items and weak correlations (0.15-0.39) with PROMIS-10 mental health items; while EQ-5D-5L anxiety/depression dimension had strong correlations (0.55-0.70) with PROMIS-10 mental health items and weak correlations (0.23-0.45) with PROMIS-10 physical health items. Discriminative ability of the EQ-5D-5L index, PROMIS-10 GPH and GMH T-scores were strongest amongst those with sleep and mental health disorders, including anxiety and depression (effect sizes 0.52-1.33), and weakest in diabetes, hypertension, and skin disease (0.06-0.51). The index and GPH-T also had strong discriminative ability for musculoskeletal disorders. Both measures’ performance varied across the five countries for heart disease, obesity, and osteoporosis.
CONCLUSIONS: Both EQ-5D-5L and PROMIS-10 effectively capture HRQL in older adults across five English-speaking countries. Despite their acceptable discriminative ability in some conditions, performance was relatively poor in common diseases including diabetes, hypertension, and skin disease.
METHODS: Using EQ-DAPHNIE project data, 5403 respondents age ≥65 years were included from Canada (n=1312), United States (US) (n=1069), United Kingdom (UK) (n=970), Australia (n=1224), and New Zealand (n=828), with overall and age-subgroup analyses conducted for each country. Spearman correlations assessed convergent and divergent validity, and known-groups analysis examined discriminative validity of EQ-5D-5L index (Canadian value set), and PROMIS-10 Global Physical Health (GPH) and mental health (GMH) T-scores.
RESULTS: Respondents averaged 72.6 years and 48.2% were female across the five countries. Canada reported the lowest EQ-5D-5L index score (mean 0.817; SD 0.145) and PROMIS-10 GPH (47.0; 4.5) and GMH (49.3; 4.9) T-scores, while UK reported the highest scores (EQ-5D-5L 0.839; 0.154; PROMIS-10 GPH 48.5; 4.6). New Zealand reported the highest PROMIS-10 GMH T-score (51.5; 4.0). Convergent and divergent validity were demonstrated across all five countries: EQ-5D-5L mobility and pain/discomfort dimensions had moderate/strong correlations (0.45-0.82) with PROMIS-10 physical health items and weak correlations (0.15-0.39) with PROMIS-10 mental health items; while EQ-5D-5L anxiety/depression dimension had strong correlations (0.55-0.70) with PROMIS-10 mental health items and weak correlations (0.23-0.45) with PROMIS-10 physical health items. Discriminative ability of the EQ-5D-5L index, PROMIS-10 GPH and GMH T-scores were strongest amongst those with sleep and mental health disorders, including anxiety and depression (effect sizes 0.52-1.33), and weakest in diabetes, hypertension, and skin disease (0.06-0.51). The index and GPH-T also had strong discriminative ability for musculoskeletal disorders. Both measures’ performance varied across the five countries for heart disease, obesity, and osteoporosis.
CONCLUSIONS: Both EQ-5D-5L and PROMIS-10 effectively capture HRQL in older adults across five English-speaking countries. Despite their acceptable discriminative ability in some conditions, performance was relatively poor in common diseases including diabetes, hypertension, and skin disease.
Conference/Value in Health Info
2025-11, ISPOR Europe 2025, Glasgow, Scotland
Value in Health, Volume 28, Issue S2
Code
P31
Topic
Patient-Centered Research
Topic Subcategory
Instrument Development, Validation, & Translation, Patient-reported Outcomes & Quality of Life Outcomes
Disease
No Additional Disease & Conditions/Specialized Treatment Areas