Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2024 Apr 22;24(1):1108.
doi: 10.1186/s12889-024-18391-3.

EQ-5D-3L and EQ-5D-5L population norms for Thailand

Affiliations

EQ-5D-3L and EQ-5D-5L population norms for Thailand

Krittaphas Kangwanrattanakul et al. BMC Public Health. .

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.

Keywords: EQ-5D; Health related quality of life; Population norms; Thai population.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Comparison of population norms between EQ-5D-3L and EQ-5D-5L

Similar articles

  • Normative profile of the EQ-5D-5L dimensions, EQ-5D-5L index and EQ-VAS scores for the general Thai population.
    Kangwanrattanakul K. Kangwanrattanakul K. Qual Life Res. 2023 Sep;32(9):2489-2502. doi: 10.1007/s11136-023-03420-2. Epub 2023 Apr 15. Qual Life Res. 2023. PMID: 37060516
  • Population norms for the EQ-5D-3L and EQ-5D-5L in Romania.
    Olariu E, Caplescu R, Vale L, Niculescu-Aron IG, Oluboyede Y, Paveliu MS. Olariu E, et al. Health Qual Life Outcomes. 2023 Jul 29;21(1):80. doi: 10.1186/s12955-023-02144-8. Health Qual Life Outcomes. 2023. PMID: 37507760 Free PMC article.
  • Psychometric properties comparison between EQ-5D-5L and EQ-5D-3L in the general Thai population.
    Kangwanrattanakul K, Parmontree P. Kangwanrattanakul K, et al. Qual Life Res. 2020 Dec;29(12):3407-3417. doi: 10.1007/s11136-020-02595-2. Epub 2020 Aug 11. Qual Life Res. 2020. PMID: 32780315 Clinical Trial.
  • Population Norms for the EQ-5D.
    Janssen B, Szende A. Janssen B, et al. 2013 Sep 26. In: Szende A, Janssen B, Cabases J, editors. Self-Reported Population Health: An International Perspective based on EQ-5D [Internet]. Dordrecht (NL): Springer; 2014. Chapter 3. 2013 Sep 26. In: Szende A, Janssen B, Cabases J, editors. Self-Reported Population Health: An International Perspective based on EQ-5D [Internet]. Dordrecht (NL): Springer; 2014. Chapter 3. PMID: 29787189 Free Books & Documents. Review.
  • Socio-demographic Indicators Based on EQ-5D.
    Szende A, Janssen B. Szende A, et al. 2013 Sep 26. In: Szende A, Janssen B, Cabases J, editors. Self-Reported Population Health: An International Perspective based on EQ-5D [Internet]. Dordrecht (NL): Springer; 2014. Chapter 5. 2013 Sep 26. In: Szende A, Janssen B, Cabases J, editors. Self-Reported Population Health: An International Perspective based on EQ-5D [Internet]. Dordrecht (NL): Springer; 2014. Chapter 5. PMID: 29787186 Free Books & Documents. Review.

Cited by

References

    1. Gusi N, Olivares PR, Rajendram R. The EQ-5D health-related quality of Life Questionnaire. In: Preedy VR, Watson RR, editors. Handbook of Disease burdens and Quality of Life measures. New York, NY: Springer New York; 2010. pp. 87–99.
    1. Feng YS, Kohlmann T, Janssen MF, Buchholz I. Psychometric properties of the EQ-5D-5L: a systematic review of the literature. Qual Life Res. 2021;30(3):647–73. doi: 10.1007/s11136-020-02688-y. - DOI - PMC - PubMed
    1. Kangwanrattanakul K, Parmontree P. Psychometric properties comparison between EQ-5D-5L and EQ-5D-3L in the general Thai population. Qual Life Res. 2020;29(12):3407–17. doi: 10.1007/s11136-020-02595-2. - DOI - PubMed
    1. Yang F, Devlin N, Luo N. Cost-utility analysis using EQ-5D-5L data: does how the utilities are derived Matter? Value Health. 2019;22(1):45–9. doi: 10.1016/j.jval.2018.05.008. - DOI - PubMed
    1. Raftery J, Young A, Stanton L, Milne R, Cook A, Turner D, et al. Clinical trial metadata: defining and extracting metadata on the design, conduct, results and costs of 125 randomised clinical trials funded by the National Institute for Health Research Health Technology Assessment programme. Health Technol Assess. 2015;19(11):1–138. doi: 10.3310/hta19110. - DOI - PMC - PubMed

Publication types

LinkOut - more resources