» Articles » PMID: 38649833

EQ-5D-3L and EQ-5D-5L Population Norms for Thailand

Overview
Publisher Biomed Central
Specialty Public Health
Date 2024 Apr 22
PMID 38649833
Authors
Affiliations
Soon will be listed here.
Abstract

Background: The previous Thai norm-based scores for the EQ-5D-5L were established with Thai general population samples aged 20-70 years in 2019. Nevertheless, these values need to be updated after the COVID-19 pandemic because of its effects on both physical and mental health. This study therefore aimed to establish population norms of the Thai EQ-5D-3L, EQ-5D-5L and EQ-VAS scores as well as to estimate disutility values associated with self-reported main diseases.

Methods: Individual face-to-face interviews were conducted with 2000 adult (age ≥ 18 years) members of the general Thai population to estimate norm-based scores. Each participant completed the EQ-5D-3L and EQ-5D-5L as well as questions related to their sociodemographic factors and self-reported main diseases. Responses to the two instruments were converted to health utility (HU) scores on the basis of available value sets. Descriptive statistics were used to report the norm-based scores stratified by age and sex categories. Response redistribution determining the response consistency between EQ-5D versions was investigated. The HU score agreement from those two instruments was investigated using intraclass correlation coefficient (ICC). Tobit regression models were employed to investigate the relationships between sociodemographic factors and HU and EQ-VAS scores. Moreover, it was used to estimate the disutility values associated with self-reported main diseases.

Results: The means (percentage of ceiling effects) of EQ-5D-3L, EQ-5D-5L, and EQ-VAS scores were 0.845 (57.80%), 0.923 (49.05%), and 79.83 (3.20%), respectively. The average percentage of inconsistent response was 1.09%. A good agreement level was found between both EQ-5D versions with the ICCs of 0.789 (95% CI: 0.558-0.878). Female, older, and unemployed participants and those with BMI ≥ 30 reported lower EQ-5D-3L and EQ-5D-5L than their counterparts. Bone/Joint disorder and stroke contributed to the largest disutility value for those two instruments.

Conclusions: The Thai norm-based scores from those two instruments were diminished when advancing age and among female, unemployed, and obese (BMI ≥ 30) participants. It is expected to provide information to policy makers to better allocate health care resources to those with diminished norm-based scores.

Citing Articles

Measuring the quality of life of patients with diabetic retinopathy in northern India: a comparison of generic and vision specific instruments.

Purohit N, Goyal A, Gupta V, Gupta P, Singh P, Prinja S Health Qual Life Outcomes. 2025; 23(1):17.

PMID: 39985016 PMC: 11846259. DOI: 10.1186/s12955-025-02340-8.


Socio-demographic disparities in health-related quality of life in hypertensive patients in Bangladesh: a comprehensive survey analysis.

Rahman M, Sorkar M, Nakamura R, Islam M, Alam M, Azmat S Qual Life Res. 2025; .

PMID: 39913058 DOI: 10.1007/s11136-025-03912-3.


Disutility associated with social isolation and loneliness in Germany: results of a population survey using the EQ-5D-5L instrument.

Konig H, Hajek A Health Qual Life Outcomes. 2024; 22(1):110.

PMID: 39707414 PMC: 11662566. DOI: 10.1186/s12955-024-02329-9.


The health-related quality of life in patients with dry eye syndrome: a cross-sectional study in Thailand.

Tantichariyangkul P, Dilokthornsakul P, Khotcharrat R, Sawatdiwithayayong J, Bhoopat T, Upakdee N BMC Ophthalmol. 2024; 24(1):539.

PMID: 39695504 PMC: 11658330. DOI: 10.1186/s12886-024-03808-9.


The psychometric properties of the amharic version of EuroQoL five-dimensions-five level among Ethiopian cervical cancer patients.

Gebremariam G, Gebretekle G, Tigneh W, Gashawbeza B, Belayneh A, Mengesha A Health Qual Life Outcomes. 2024; 22(1):98.

PMID: 39538221 PMC: 11562086. DOI: 10.1186/s12955-024-02305-3.


References
1.
Shiroiwa T, Noto S, Fukuda T . Japanese Population Norms of EQ-5D-5L and Health Utilities Index Mark 3: Disutility Catalog by Disease and Symptom in Community Settings. Value Health. 2021; 24(8):1193-1202. DOI: 10.1016/j.jval.2021.03.010. View

2.
Golicki D, Niewada M . EQ-5D-5L Polish population norms. Arch Med Sci. 2017; 13(1):191-200. PMC: 5206353. DOI: 10.5114/aoms.2015.52126. View

3.
Emrani Z, Akbari Sari A, Zeraati H, Olyaeemanesh A, Daroudi R . Health-related quality of life measured using the EQ-5D-5 L: population norms for the capital of Iran. Health Qual Life Outcomes. 2020; 18(1):108. PMC: 7183694. DOI: 10.1186/s12955-020-01365-5. View

4.
Nguyen L, Tran B, Ngoc Hoang Le Q, Tran T, Latkin C . Quality of life profile of general Vietnamese population using EQ-5D-5L. Health Qual Life Outcomes. 2017; 15(1):199. PMC: 5637080. DOI: 10.1186/s12955-017-0771-0. View

5.
Bailey H, Janssen M, La Foucade A, Kind P . EQ-5D-5L population norms and health inequalities for Trinidad and Tobago. PLoS One. 2019; 14(4):e0214283. PMC: 6488064. DOI: 10.1371/journal.pone.0214283. View