Our research

Current research

  • 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

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 and 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.