Estimating the SF-6Dv1 Value Set for a Population-Based Sample in Lebanon

Copyright © 2024 International Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved..

OBJECTIVES: The SF-6Dv1 is a preference-based measure derived from the SF-36 for use in quality-adjusted life-year estimation for cost-utility analysis. Country-specific value sets for SF-6Dv1 are needed to reflect societal preferences but none are available for Lebanon and other Arabic countries. This study aimed to generate a value set for SF-6Dv1 for Lebanon and to compare results with the UK set.

METHODS: A sample of 249 health states defined by the SF-6Dv1 were valued by a representative sample of 577 members of the Lebanon general population, using standard gamble. Several multivariate regression models at mean and individual level were fitted to estimate utilities for all SF-6Dv1 states with selection of best fitting models based on predictive ability, consistency, and model fit. The best fitting models were compared with those fitted in the UK study.

RESULTS: Data from 553 eligible respondents providing 3308 valuations were used for the analysis. Lebanese values were consistently higher than UK values, indicating differences in preferences, and there were no negative values. The random effects model using only main effects was the best performing model. There were inconsistencies in 2 dimensions, thereby consistent models were estimated with values ranging from 0.367 to 1. The results are consistent with the UK results.

CONCLUSIONS: This study provides the first population-based value set for SF-6Dv1 health states for Lebanon, making it possible to generate quality-adjusted life-years for cost-utility analysis studies. The potential for applications of a standardized utility measure is enormous both in Lebanon and all Arab countries.

Medienart:

E-Artikel

Erscheinungsjahr:

2024

Erschienen:

2024

Enthalten in:

Zur Gesamtaufnahme - volume:42

Enthalten in:

Value in health regional issues - 42(2024) vom: 09. Feb., Seite 1-10

Sprache:

Englisch

Beteiligte Personen:

Kharroubi, Samer A [VerfasserIn]
Mukuria, Clara [VerfasserIn]
Dawoud, Dalia [VerfasserIn]
Rowen, Donna [VerfasserIn]

Links:

Volltext

Themen:

Journal Article
Lebanon
Modeling stated preference data
Preference-based health measure
SF-6Dv1
Weighting system

Anmerkungen:

Date Revised 10.02.2024

published: Print-Electronic

Citation Status Publisher

doi:

10.1016/j.vhri.2023.12.008

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM368301907