Estimating a preference-based index from the Japanese SF-36

The estimation of a preference-based measure of health from the SF-36.

This paper reports on the findings of a study to derive a preference-based measure of health from the SF-36 for use in economic evaluation. The SF-36 was revised into a six-dimensional health state classification called the SF-6D. A sample of 249 states defined by the SF-6D have been valued by a representative sample of 611 members of the UK general population, using standard gamble. Models are...

Are decisions using cost-utility analyses robust to choice of SF-36/SF-12 preference-based algorithm?

BACKGROUND Cost utility analysis (CUA) using SF-36/SF-12 data has been facilitated by the development of several preference-based algorithms. The purpose of this study was to illustrate how decision-making could be affected by the choice of preference-based algorithms for the SF-36 and SF-12, and provide some guidance on selecting an appropriate algorithm. METHODS Two sets of data were used: ...

Estimating a Preference-Based Index from the Clinical Outcomes in Routine Evaluation–Outcome Measure (CORE-OM)

BACKGROUND The Clinical Outcomes in Routine Evaluation-Outcome Measure (CORE-OM) is used to evaluate the effectiveness of psychological therapies in people with common mental disorders. The objective of this study was to estimate a preference-based index for this population using CORE-6D, a health state classification system derived from the CORE-OM consisting of a 5-item emotional component an...

Interpreting the SF-36 Health Survey

One of the most frequently asked questions about health surveys such as the SF-36® is "what do the numbers mean"? Health status scores are abstractions, which obtain meaning through knowledge of how the scores are related to other variables. Although we may not think about it, this is also true for more commonly used measures. For example, a temperature of 0°C is an abstract number, which becom...

Assessing health status with the SF-36.