D5.3 Mapping algorithms from real world outcomes to preference based measures: QoL-AD to EQ-5D

In this report we present the development of mapping algorithms to enable the estimation of EQ-5D- 5L responses and indices from the disease specific Quality of Life in Alzheimer’s disease (QoL-AD) questionnaire.

These algorithms can be used by researchers wishing to perform cost-effectiveness analyses in patient populations for whom QoL-AD data are available, but EQ-5D-5L data were not collected.

The mapping algorithms are based on a multinomial regression model, and predict responses to the individual EQ-5D-5L domains first, before converting them to indices using the United Kingdom (UK) value set (response mapping). Conversion to other country specific value sets is possible. Mapping algorithms are available for both self-rated and proxy-rated data.

Stata code to apply the QoL-AD to EQ-5D-5L mapping algorithms will be available to researchers on request.