Tel: 01223 761684
Chris completed his doctoral thesis “Towards a psychosocial model of quality of life for patients with motor neurone disease” at the Walton Centre for Neurology and Neurosurgery and University of Liverpool before moving to the University of Manchester as a Research Associate on the Collaborative Interventions for Circulation and Depression (COINCIDE) clinical trial. He then worked as a Research Fellow in Patient-Centred Care at the NIHR CLAHRC-GM, University of Manchester before being awarded an NIHR postdoctoral Fellowship. After a period as a visiting academic at The Psychometrics Centre, Chris transferred his Fellowship to the University of Cambridge to continue his research as part of the Cambridge Centre for Health Services Research and the Psychometrics Centre.
Chris has developed and validated a number of patient reported outcome measure for mental health, neurological illness and long-term conditions and has lectured on the applications of advanced psychometric techniques to international audiences. His current work focuses on the development of Concerto as a tool for clinical research and care as well as the evaluation of feedback from patient-reported outcome measures as a complex clinical intervention.
Chris’ primary academic interests are to assess the impact of interventions to improve patient satisfaction and involvement with care by using self-report questionnaires and the application of modern machine learning algorithms (especially computer adaptive testing) and adaptive feedback processes to improve the accuracy and feasibility of patient-reported outcomes measurement.
Chris teaches the Psychometrics Centre courses on Item Response Theory and Computer Adaptive Testing using R and Concerto. These courses are designed to endow postgraduate students and researchers with the technical skills to conduct psychometrics analyses using IRT and create their own computer adaptive tests using Concerto.
Gibbons C.J and the WHOQOL Group (2015) Quality of Life measurement across diverse cultures using common-item equating and computer adaptive testing. International Association for Computer Adaptive Testing. Queen’s College, University of Cambridge.
Gonçalves Bradley, D. C., Gibbons, C. J., Ricci‐Cabello, I., Bobrovitz, N. J., Gibbons, E. J., Kotzeva, A., … & Valderas, J. M. (2015). Routine provision of information on patient‐reported outcome measures to healthcare providers and patients in clinical practice. The Cochrane Library.
Gibbons, C.J., Kenning C., Coventry P.A., Bee P.E., Bundy C., Fisher L., & Bower P. (2013). Development of a multimorbidity illness perceptions scale (MULTIPleS).” PLoS ONE e81852.
Gibbons, C.J. (2014). How can Item Response Theories Improve Questionnaire Research in Health Psychology?. European Health Psychologist, 16(S), 302.
Gibbons, C. J., Mills, R. J., Thornton, E. W., Ealing, J., Mitchell, J. D., Shaw, P. J., … & Young, C. A. (2011). Development of a patient reported outcome measure for fatigue in motor neurone disease: the Neurological Fatigue Index (NFI-MND). Health and Quality of Life Outcomes, 9(1), 101-101.