Appropriateness of self- and caregiver reports in measuring health utility in Thai pediatric cancer patients
DOI:
https://doi.org/10.69898/jhtm.35.2025.279411Keywords:
EQ-5D-Y-3L questionnaire, Health utility scores, Agreement, Pediatric Cancer PatientsAbstract
Abstract:
Background: The EQ-5D-Y-3L is a standardized instrument used to assess health utility in pediatric populations for health economic evaluations. However, no studies have examined the agreement between, or the appropriateness of choosing, self- and proxy-report versions in Thai pediatric cancer patients. Objective: This study aimed to examine the agreement between self- and proxy-report versions of the EQ-5D-Y-3L, evaluate their appropriateness across respondent types and assess known-groups validity based on ECOG performance status. Materials and methods: A cross-sectional analytic study was conducted among 109 Thai pediatric cancer patients aged ≥ 8 years and their caregivers at King Chulalongkorn Memorial Hospital (March–April 2025). Agreement of health utility scores from the Thai EQ-5D-Y-3L (self- and proxy-report version 1) was assessed, along with known-groups validity based on ECOG status and ceiling/floor effects. Results: Overall, EQ-5D-Y-3L scores showed moderate agreement (ICC = 0.52). Agreement was higher among children aged 8-11 years (ICC = 0.68) compared to those aged 12-17 years (ICC = 0.35). The dimensions of mobility and looking after myself showed moderate agreement, with weighted kappa values of 0.52 and 0.58, respectively, while other dimensions and EQ-VAS scores showed poor agreement. A large effect size was observed for known-groups validity based on ECOG performance status, particularly in proxy reports, which yielded values comparable to or greater than self-reports, along with lower ceiling effects across all age groups. Conclusion: Proxy-report versions of the EQ-5D-Y-3L are appropriate for assessing health utility in Thai pediatric cancer patients, demonstrating larger effect sizes in known-groups validity based on ECOG status and lower ceiling effects in most subgroups compared to self-reports.
Downloads
References
World Health Organization. CureAll framework: Who global initiative for childhood cancer: increasing access, advancing quality, saving lives. Geneva: World Health Organization; 2021.
Brinkman TM, Recklitis CJ, Michel G, Grootenhuis MA, Klosky JL. Psychological Symptoms, Social Outcomes, Socioeconomic Attainment, and Health Behaviors Among Survivors of Childhood Cancer: Current state of the literature. J Clin Oncol. 2018;36:2190-7.
Age-standardized rate (world) per 100000, incidence and mortality, both sexes, age [0-19], in 2022 Thailand [Internet]. 2022 [cited 1 August 2024]. Available from: https://gco.iarc.who.int/en.
Sakthong P. Health-related quality of life. 2nd rev. ed: Chulalongkorn University Press; 2019.
EuroQol Research Foundation. EQ-5D-Y user guide [Internet]. EuroQol Research Foundation; 2020 [Available from: https://euroqol.org/publications/user-guides.
Wille N, Badia X, Bonsel G, Burström K, Cavrini G, Devlin N, et al. Development of the EQ-5D-Y: a child-friendly version of the EQ-5D. Qual Life Res. 2010;19:875-86.
Sakthong P, Sonsa-Ardjit N, Sukarnjanaset P, Munpan W. Psychometric properties of the EQ-5D-5L in Thai patients with chronic diseases. Qual Life Res. 2015;24:3015-22.
Kim TH, Jo MW, Lee SI, Kim SH, Chung SM. Psychometric properties of the EQ-5D-5L in the general population of South Korea. Qual Life Res. 2013;22:2245-53.
Tran BX, Ohinmaa A, Nguyen LT. Quality of life profile and psychometric properties of the EQ-5D-5L in HIV/AIDS patients. Health Qual Life Outcomes. 2012;10:132.
Guideline Development Working group. Guideline for health technology assessment in Thailand updated edition: 2019.
Sun Y, Zhou HJ, Shen A, Wu B, Wang W, Luo N, et al. A cross-sectional study evaluating health-related quality of life of Chinese pediatric patients with hematological malignancies using EQ-5D-Y. Front Public Health. 2022;10:1050835.
Perez Sousa M, Olivares Sánchez-Toledo PR, Gusi Fuerte N. Parent-child discrepancy in the assessment of health- related quality of life using the EQ-5D-Y questionnaire. Arch Argent Pediatr. 2017;115:541-6.
Bray N, Noyes J, Harris N, Edwards RT. Measuring the health-related quality of life of children with impaired mobility: examining correlation and agreement between children and parent proxies. BMC Res Notes. 2017;10:377.
Shiroiwa T, Fukuda T, Shimozuma K. Psychometric properties of the Japanese version of the EQ-5D-Y by self-report and proxy-report: reliability and construct validity. Qual Life Res. 2019;28:3093-105.
Rosner B. Fundamentals of biostatistics. 7th ed. Boston: Brooks/Cole, Cengage Learning; 2011.
Guideline for health technology assessment in Thailand. 2nd edition, 2013.: Wacharin Printing; 2014.
Chaiyakledkaew U. Guideline for health technology assessment in Thailand. 1st ed: The Graphico Systems Co., Ltd.; 2009.
Dewilde S, Roudijk B, Tollenaar NH, Ramos-Goñi JM. An EQ-5D-Y-3L value set for Belgium. Pharmacoeconomics. 2022;40:169-80.
Yang Z, Jiang J, Wang P, Jin X, Wu J, Fang Y, et al. Estimating an EQ-5D-Y-3L value set for China. Pharmacoeconomics. 2022;40:147-55.
Kreimeier S, Mott D, Ludwig K, Greiner W. EQ-5D-Y value set for Germany. Pharmacoeconomics. 2022;40:217-29.
Rencz F, Ruzsa G, Bató A, Yang Z, Finch AP, Brodszky V. Value set for the EQ-5D-Y-3L in Hungary. Pharmacoeconomics. 2022;40:205-15.
Fitriana TS, Roudijk B, Purba FD, Busschbach JJV, Stolk E. Estimating an EQ-5D-Y-3L value set for Indonesia by mapping the DCE onto TTO Values. Pharmacoeconomics. 2022;40:157-67.
Shiroiwa T, Ikeda S, Noto S, Fukuda T, Stolk E. Valuation survey of EQ-5D-Y based on the international common protocol: development of a value set in Japan. Med Decis Making. 2021;41:597-606.
Prevolnik Rupel V, Ogorevc M, Greiner W, Kreimeier S, Ludwig K, Ramos-Goni JM, et al. EQ-5D-Y value set for Slovenia. Pharmacoeconomics. 2021;39:463-71.
Ramos-Goñi JM, Oppe M, Estévez-Carrillo A, Rivero-Arias O, Wolfgang G, Simone K, et al. Accounting for unobservable preference heterogeneity and evaluating alternative anchoring approaches to estimate country-specific EQ-5D-Y value sets: A case study using Spanish preference data. Value Health. 2022;25:835-43.
Roudijk B, Sajjad A, Essers B, Lipman S, Stalmeier P, Finch AP. A value set for the EQ-5D-Y-3L in the Netherlands. Pharmacoeconomics. 2022;40:193-203.
Terwee CB, Bot SDM, de Boer MR, van der Windt DAWM, Knol DL, Dekker J, et al. Quality criteria were proposed for measurement properties of health status questionnaires. J Clin Epidemiol. 2007;60:34-42.
Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15:155-63.
Fleiss JL, Levin B, Paik MC. Statistical methods for rates and proportions. 3rd ed. Hoboken, NJ: Wiley; 2013.
Cohen J. Statistical power analysis for the behavioral sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988. 384 p.
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Journal of Hematology and Transfusion Medicine

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.