Our research

Current research

Our current research includes

  • developing the E-QALY, a new measure of quality of life and wellbeing for use in health and social care

  • developing a preference-based, patient-reported outcome measure Duchenne Muscular Dystrophy (DMD)

  • developing a preference-based measure for cystic fibrosis from the CFQ-R

  • deriving a preference-based measure from the ReQOL-10, a recovery measure of quality of life

  • validating the ReQOL-10, a recovery measure of quality of life

  • valuing the SF-6Dv2 in Canada and USA

  • assessing the psychometric properties of child and adolescent-specific preference-based measures: EQ-5D-Y, CHU9D, AQoL-8D, HUI2

  • deriving and valuing attributes of the quality of mental healthcare for mental healthcare service users, mental healthcare professionals and the general population

  • developing a preference-based measure for dry macular degeneration (as part of the MACUSTAR project)

  • valuing health benefits for children and adolescents: Qualitative research examining the impact of perspective and respondents’ priorities around adult and child health.

Find out more about our specialist research areas.

Examples of previous projects

John Brazier and colleagues developed the SF-6D from the SF-36, a widely used PROM. The SF-6D allows utility values to be generated where the SF-36 has been used. The SF-6Dv2 has also been developed.

As a result of the SF-6D work, we have led the development of this methodology to develop condition-specific preference-based measures from existing PROMs in

  • asthma

  • cancer

  • diabetes

  • dementia

  • dermatitis

  • epilepsy

  • flushing

  • incontinence

  • mental health

  • overactive bladder

  • sexual quality of life

Members of ScHARR Outcomes also contributed to the recent valuation of the EQ-5D-5L and crosswalks from the EQ-5D-5L descriptive system to the EQ-5D-3L.

The COSMeQ project reviewed, developed and tested methods for deriving condition-specific preference-based measures (CSPBM) to generate QALYs from existing measures. This work contributed to the methodology in the assessment of labelling effects and how to value unidimensional measures.