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

Area of Science:

• Health Economics
• Psychometrics
• Societal Preferences

Background:

• Quality-adjusted life-year (QALY) estimation requires preference-based measures like the SF-6Dv1.
• Country-specific SF-6Dv1 value sets are crucial for accurate cost-utility analysis but are lacking for Lebanon and other Arabic nations.

Purpose of the Study:

• To generate a population-based SF-6Dv1 value set for Lebanon.
• To compare the Lebanese SF-6Dv1 values with the established UK value set.

Main Methods:

• A representative sample of 577 Lebanese adults valued 249 SF-6Dv1 health states using standard gamble.
• Multivariate regression models were employed to estimate utilities, with the best-fitting models selected based on predictive ability and consistency.
• The derived Lebanese model was compared against the UK SF-6Dv1 model.

Main Results:

• Analysis included 553 eligible respondents and 3308 valuations.
• Lebanese SF-6Dv1 values were consistently higher than UK values, indicating distinct societal preferences.
• The best-performing model was a random effects model with main effects only, yielding consistent values ranging from 0.367 to 1.

Conclusions:

• This research presents the first population-based SF-6Dv1 value set for Lebanon, facilitating QALY estimation for cost-utility analyses.
• The findings support the broad applicability of a standardized utility measure across Lebanon and other Arab countries.