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The Psychometrics Centre

Cambridge Judge Business School


Chris is Director of Health Assessment and Innovation at The Psychometrics Centre, Co-Director of the Patient-Reported Outcomes, Value & Experience (PROVE) Center at the Brigham and Women's Hospital and member of the faculty at Harvard Medical School. He was a National Institute for Health Research (NIHR) Post-doctoral Fellow based at the Cambridge Centre for Health Services Research, and a Research Associate at Corpus Christi College, Cambridge. His current work focuses on both assessing the impact of interventions which seek to improve processes and outcomes of care using patient-reported assessment measures and more fundamental research to ensure that assessments have the greatest potential for patient benefit. This latter involves the application of computer adaptive testing, tailored feedback, and machine learning algorithms to improve the accuracy, feasibility, and effectiveness of patient-reported assessments to improve clinical research, audit, and care. At The Psychometrics Centre, Chris delivers training courses on psychometrics and machine-learning, and is responsible for developing Concerto as a tool to create and deploy patient-reported assessments across health services worldwide.


Key publications: 

Full publication history available (GScholar | ORCiD)

Loe BS, Stillwell D, Gibbons CJ. (2017). Computerised adaptive testing improves the accuracy and efficiency of the CESD-D depression assessment. Journal of Medical Internet Research. In Press.

Gibbons, CJ, Richards, S., Valderas, J. M., & Campbell, J. (2017). Supervised machine learning algorithms can classify open-text feedback of doctor performance with human-level accuracy. Journal of Medical Internet Research, 19(3).

Gibbons CJ, Valderas-Martinez J, Bower P, Lovell K, Skevington S. (2016) Computer-administered quality of life measures can be significantly shorter and more reliable than paper-based alternatives. Journal of Medical Internet Research. 18(1).

Bee P, Gibbons CJ, Callaghan P, Fraser C, Lovell K (2016). Evaluating and quantifying user and carer involvement in mental health care planning (EQUIP): Co-development of a new patient-reported outcome measure. PLoS ONE.   

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.

Director of Health Assessment and Innovation, Psychometrics Centre
Director, MD Anderson Center for Integrated systems for Patient-Reported Data in Cancer Care
Associate Professor and Deputy Chair, Department of System Research, MD Anderson
Not available for consultancy


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