Population Norms for the EQ-5D-5L, PROPr and SF-6D in Hungary

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Abstract
Objectives This study aimed to develop population norms for three preference-accompanied measures [EQ-5D-5L, Patient-Reported Outcomes Measurement Information System (PROMIS)-preference scoring system (PROPr) and Short-Form Six-Dimension (SF-6D)] in Hungary. Methods In November 2020, an online cross-sectional survey was conducted among a representative sample of the Hungarian adult general population (n = 1631). Respondents completed the Hungarian versions of the EQ-5D-5L, PROMIS-29+2 version 2.1 and 36-item Short Form Survey version 1 (SF-36v1). The association of utilities with sociodemographic and health-related characteristics of respondents was analysed using multivariate regressions. Results The proportion of respondents reporting problems ranged from 8 to 44% (self-care to pain/discomfort) on the EQ-5D-5L, 39–94% (physical function to sleep) on PROPr and 38–87% (role limitations to vitality) on the SF-6D. Problems related to physical function, self-care, usual activities/role limitations and pain increased with age, while mental health problems decreased in all three measures. In almost all corresponding domains, respondents indicated the fewest problems on the EQ-5D-5L and the most problems on the SF-6D. The mean EQ-5D-5L, PROPr and SF-6D utilities were 0.900, 0.535 and 0.755, respectively. Female gender (PROPr, SF-6D), a lower level of education (EQ-5D-5L, PROPr), being unemployed or a disability pensioner (EQ-5D-5L), being underweight or obese (SF-6D), lack of physical exercise (all) and polypharmacy (all) were associated with significantly lower utilities. PROPr yielded the lowest and EQ-5D-5L the highest mean utilities in 28 of 30 chronic health conditions. Conclusions This study presents the first set of Hungarian population norms for the EQ-5D-5L, PROPr and SF-6D. Our findings can serve as reference values in clinical trials and observational studies and contribute to the monitoring of population health and the assessment of disease burden in Hungary.
Funding Information
  • Hungarian Academy of Sciences (MTA-PPD 462025)
  • New National Excellence Program of the Ministry for Culture and Innovation (ÚNKP-23-3-II-SE-17, ÚNKP-23-5-CORVINUS-5)
  • János Bolyai Research Scholarship of the Hungarian Academy of Sciences (BO/00304/21)
  • Corvinus University of Budapest

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