Valuation of Quality Weights for EuroQol 5-Dimensional Health States With the Time Trade-Off Method in the Capital of Iran.


Journal

Value in health regional issues
ISSN: 2212-1102
Titre abrégé: Value Health Reg Issues
Pays: United States
ID NLM: 101592642

Informations de publication

Date de publication:
May 2019
Historique:
received: 11 07 2017
revised: 12 12 2018
accepted: 30 01 2019
pubmed: 17 5 2019
medline: 6 8 2019
entrez: 17 5 2019
Statut: ppublish

Résumé

The EuroQol 5-dimension (EQ-5D) is a standard instrument that is widely used for measuring health-related quality of life and quality-adjusted life years in economic evaluation of healthcare interventions. To estimate a preference valuation set for EQ-5D 3-level (3L) health states from the perspective of the general population in the capital of Iran. Eight hundred seventy adults aged ≥18 years were interviewed in Tehran (Iran's capital) from July to November 2013. The participants were selected by a stratified random sampling method and were interviewed face-to-face at their usual residence. Forty-two health states were selected and valued from the 243 states derived from the EQ-5D-3L instrument. Each respondent valued 11 health states using the time trade-off method. Generalized least squares regression with random effect was used to predict values for health states. The analysis was performed for 846 respondents. The final model yielded the best fit for the time trade-off value at the individual level with an overall R This study provided for the first time a value set for calculating quality-adjusted life years from the EQ-5D instrument in Iran. The Iranian EQ-5D-3L value set slightly differs from the value sets of the UK and the United States.

Sections du résumé

BACKGROUND BACKGROUND
The EuroQol 5-dimension (EQ-5D) is a standard instrument that is widely used for measuring health-related quality of life and quality-adjusted life years in economic evaluation of healthcare interventions.
OBJECTIVE OBJECTIVE
To estimate a preference valuation set for EQ-5D 3-level (3L) health states from the perspective of the general population in the capital of Iran.
METHODS METHODS
Eight hundred seventy adults aged ≥18 years were interviewed in Tehran (Iran's capital) from July to November 2013. The participants were selected by a stratified random sampling method and were interviewed face-to-face at their usual residence. Forty-two health states were selected and valued from the 243 states derived from the EQ-5D-3L instrument. Each respondent valued 11 health states using the time trade-off method. Generalized least squares regression with random effect was used to predict values for health states.
RESULTS RESULTS
The analysis was performed for 846 respondents. The final model yielded the best fit for the time trade-off value at the individual level with an overall R
CONCLUSIONS CONCLUSIONS
This study provided for the first time a value set for calculating quality-adjusted life years from the EQ-5D instrument in Iran. The Iranian EQ-5D-3L value set slightly differs from the value sets of the UK and the United States.

Identifiants

pubmed: 31096140
pii: S2212-1099(19)30044-5
doi: 10.1016/j.vhri.2019.01.007
pii:
doi:

Types de publication

Journal Article

Langues

eng

Pagination

170-175

Informations de copyright

Copyright © 2019 ISPOR--The professional society for health economics and outcomes research. Published by Elsevier Inc. All rights reserved.

Auteurs

Reza Goudarzi (R)

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

Ali Akbari Sari (AA)

Department of Health Management and Economics, School of Public Health & Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran. Electronic address: akbarisari@tums.ac.ir.

Hojjat Zeraati (H)

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

Arash Rashidian (A)

Department of Health Management and Economics, School of Public Health & Knowledge Utilization Research Center, Tehran University of Medical Sciences, Tehran, Iran.

Kazem Mohammad (K)

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

Saeed Amini (S)

Department of Health Services Management, School of Public Health, Arak University of Medical Sciences, Arak, Iran.

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Classifications MeSH