Health-related quality of life in Singapore: Population norms for the EQ-5D-5L and EORTC QLQ-C30.
10.47102/annals-acadmedsg.2024283
- Author:
Jaclyn TAN
1
;
Mervyn Jr LIM
1
;
Ravindran KANESVARAN
2
;
Richard NORMAN
3
;
Wen Yee CHAY
2
;
Mohamad Farid Bin HARUNAL RASHID
2
;
Mihir GANDHI
4
;
Madeleine KING
5
;
Nan LUO
6
Author Information
1. Division of Neurosurgery, University Surgical Centre, National University Hospital, Singapore.
2. Division of Medical Oncology, National Cancer Centre Singapore, Singapore.
3. School of Population Health, Curtin University, Western Australia, Australia.
4. Biostatistics, Singapore Clinical Research Institute, Singapore.
5. School of Psychology, University of Sydney, New South Wales, Australia.
6. Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
- Publication Type:Journal Article
- Keywords:
EQ-5D;
QLQ-C30;
Singapore;
health-related quality of life;
population norms
- MeSH:
Humans;
Quality of Life;
Singapore;
Male;
Female;
Middle Aged;
Adult;
Cross-Sectional Studies;
Aged;
Surveys and Questionnaires;
Young Adult;
Health Status;
Age Factors;
Linear Models;
Aged, 80 and over
- From:Annals of the Academy of Medicine, Singapore
2025;54(3):147-159
- CountrySingapore
- Language:English
-
Abstract:
INTRODUCTION:Comparison of patient health-related quality of life (HRQOL) scores to a reference group is needed to quantify the HRQOL impact of disease or treatment. This study aimed to establish population norms for 2 HRQOL questionnaires-EuroQol 5-dimension 5-level questionnaire (EQ-5D-5L) and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core Question-naire 30 (EORTC QLQ-C30) according to age, sex and ethnicity-and to explore relationships between the EQ-5D-5L, EORTC QLQ-C30 and sociodemographic characteristics. We used a representative sample of adult Singapore residents aged 21 years and above.
METHOD:This study used data collected from a cross-sectional household survey in which 600 adult Singaporeans completed questions on sociodemo-graphic characteristics-the EQ-5D-5L and the EORTC QLQ-C30. Multiple linear regression analyses were conducted to explore associations between sociodemographic characteristics, the EQ-5D-5L scores and the EORTC QLQ-C30 scores. Regression-based population norms were computed for each subgroup using a post-stratification method.
RESULTS:In multiple linear regression analysis, age was significantly associated with EQ-5D-5L index and visual analogue scale (VAS) scores, while no sociodemographic characteristics were significantly associated with EORTC QLQ-C30 summary scores. The normative EQ-5D-5L index and VAS scores decreased in adults aged 65 years and above, and EQ-5D-5L index scores were slightly lower in females than males and in non-Chinese than Chinese. The normative EORTC QLQ-C30 summary scores were slightly higher in Chinese than in the non-Chinese group and in the 45-64 age group than other age groups.
CONCLUSION:This study provides population norms for the EQ-5D-5L and EORTC QLQ-C30 for the general adult population in Singapore. Future studies of patient populations in Singapore using EQ-5D-5L or QLQ-C30 can use these normative data to interpret the HRQOL data collected.
