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SF-6Dv2

Value setvalidated

The SF-6Dv2 is a tool that measures health-related quality of life by converting responses on six health dimensions into a single utility score. This updated version improves on the original by capturing a broader range of health states, including worse-than-death states, and is designed for use in economic evaluations to help compare treatments.

At a glance

Use when

Conducting economic evaluations (e.g., cost-utility analysis) in the UK or other settings where SF-6Dv2 has been valued; when broader utility ranges and inclusion of worse-than-death states are needed; when using data derived from SF-36 or SF-12 surveys.

Avoid when

When country-specific value sets are required but not yet developed; when simpler or faster scoring methods without preference-based weights are sufficient; when detailed modeling of preference heterogeneity is not feasible.

Inputs

Health state descriptions defined across six dimensions (physical functioning, role limitations, social functioning, pain, mental health, energy/fatigue) with five or six levels each, derived from the SF-36 or SF-12 surveys.

Outputs

Utility scores representing health state values on a scale where 1 = full health, 0 = death, and negative values = states worse than death; models account for severity interactions and preference heterogeneity.

How it works

The SF-6Dv2 value set was developed using a discrete-choice experiment (DCE) with duration in a UK general population sample (n=3014). Two experimental designs were used: Design 1 included 10 DCE tasks from a 300-set efficient design; Design 2 included 2 DCE tasks with immediate death as an option from a 60-set design. Conditional logit models estimated utility values with ordered coefficients per dimension; a preferred model included interaction terms for the most severe level in any dimension. Latent class analysis revealed preference heterogeneity (2-class model). The resulting value sets show a wider utility range and more negative values compared to SF-6D, with pain, mental health, and physical functioning being the most influential dimensions.

HTA domains
Clinical Effectiveness, Patient and Social Aspects
Categories
HRQoL
Assumptions
Respondents can reliably trade off health states against duration of life; health state utilities are consistent with expected ordering within dimensions; the DCE design captures sufficient variation to estimate robust values.
Strengths
Captures a wider range of health states, including more negative utilities than the original SF-6D,Incorporates interaction effects for severe health levels, improving sensitivity,Based on a large, representative UK general population sample,Uses rigorous DCE methodology with efficient design and latent class analysis to address preference heterogeneity
Limitations
Value sets differ between the two experimental designs, raising questions about robustness,Preference heterogeneity is present but not yet fully integrated into standard value set application,Limited to UK population preferences; international adaptation requires further study,Relies on hypothetical choices which may not reflect real-world decisions
Also known as
SF-6D version 2, SF-6Dv2 value set, Short Form 6D version 2

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Beta record. Based on the original catalogue summary; primary-source enrichment pending.