Appropriateness of self- and caregiver reports in measuring health utility in Thai pediatric cancer patients

Authors

  • Ramida Yoykaew Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University https://orcid.org/0009-0008-6501-5285
  • Phantipa Sakthong Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University
  • Piti Techavichit Division of Pediatric Hematology and Oncology, Faculty of Medicine, Chulalongkorn University
  • Trai Tharnpanich Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University

DOI:

https://doi.org/10.69898/jhtm.35.2025.279411

Keywords:

EQ-5D-Y-3L questionnaire, Health utility scores, Agreement, Pediatric Cancer Patients

Abstract

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.

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Author Biography

Ramida Yoykaew, Department of Pharmacy Practice, Faculty of Pharmaceutical Sciences, Chulalongkorn University

Ramida Yoykaew is a graduate student at the Faculty of Pharmaceutical Sciences, Chulalongkorn University.

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.

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Published

2025-07-04

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นิพนธ์ต้นฉบับ (Original article)