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A national survey of Iranian general population to estimate a value set for the EQ-5D-5L

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Abstract

Objectives

The main aim of this study is to estimate a national value set of the EQ-5D-5L questionnaire for Iran.

Methods

The composite time trade-off (cTTO) and discrete choice experiment (DCE) methods; and the protocol for EuroQol Portable Valuation Technology (EQ-PVT) were used to estimate the Iran national value set. 1179 face-to-face computer-assisted interviews were conducted with adults that were recruited from five Iran major cities in 2021. Generalized least squares, Tobit, heteroskedastic, logit, and hybrid models were used to analyze the data and to identify the best fitting model.

Results

According to the logical consistency of the parameters, significance levels and prediction accuracy indices of the MAE; a heteroscedastic censored Tobit hybrid model combining cTTO and DCE responses was considered as the best fitting model to estimate the final value set. The predicted values ranged from − 1.19 for the worst health state (55555) to 1 for full health (11111), with 53.6% of the predicted values being negative. Mobility was the most influential dimension on health state preference values.

Conclusions

The present study estimated a national EQ-5D-5L value set for Iranian policy makers and researchers. The value set enables the EQ-5D-5L questionnaire to use to calculate QALYs to assist the priority setting and efficient allocation of limited healthcare resources.

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Acknowledgments

This study was part of a PhD project that was supported jointly by Iranian National Science Foundation; the EuroQol Group and School of Public Health, Knowledge Utilization Research Center (KURC) and Health Equity Research Center (HERCE) at Tehran University of Medical Sciences (TUMS). Special thanks to Dr Bram Roudijk and Dr Aureliano Finch from the EuroQol Group for providing valuable technical advice; and also thanks to all the interviewees who were participated in this study.

Funding

This study was funded jointly by Iranian National Science Foundation; School of Public Health, Knowledge Utilization Research Center (KURC), and Health Equity Research Center (HERCE) at Tehran University of Medical Sciences (TUMS).

Author information

Authors and Affiliations

  1. Department of Health Management, Policy, and Economics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

    Somayeh Afshari, Rajabali Daroudi, Ali Akbari Sari & Elham Hasannezhad

  2. Health Services Management Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran

    Reza Goudarzi

  3. Iranian Evidence Based Medicine Center, Department of Health Economics, Tabriz University of Medical Sciences, Tabriz, Iran

    Alireza Mahboub–Ahari

  4. Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran

    Mehdi Yaseri

  5. Department of Health Management and Economics, School of Public Health, Health Policy and Management Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

    Hosein Ameri & Sajjad Bahariniya

  6. National Institute for Health Research, Tehran University of Medical Sciences, Tehran, Iran

    Alireza Oliaei-Manesh

  7. Department of Health Care Management, Shiraz University of Medical Sciences, Shiraz, Iran

    Zahra Zare

  8. Master of Actuarial Science, ECO College of Insurance, Allameh Tabatabae′i University, Tehran, Iran

    Mohammadamin Mirzaei

  9. Department of Pharmacoeconomics and Pharmaceutical Management, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran

    Zahra Amiri

  10. Department of Health Management, Policy, and Economics, School of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran

    Khalil Kalavani

Authors
  1. Somayeh Afshari
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  2. Rajabali Daroudi
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  9. Alireza Oliaei-Manesh
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Correspondence to Ali Akbari Sari or Hosein Ameri.

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Afshari, S., Daroudi, R., Goudarzi, R. et al. A national survey of Iranian general population to estimate a value set for the EQ-5D-5L. Qual Life Res 32, 2079–2087 (2023). https://doi.org/10.1007/s11136-023-03378-1

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