David Mott

David Mott

Senior Economist

David's research interests broadly focus on the valuation of healthcare benefits. This includes describing health and valuing health states for the generation of quality-adjusted life years (QALYs) as well as the valuation and incorporation of broader outcomes (e.g. non-health outcomes or well-being) into the health technology assessment process.

David has methodological expertise in stated preference methodologies such as discrete choice experiments (DCEs), time trade-off (TTO) and contingent valuation (CV) and has used these methods to answer a wide range of different research questions. He has an ongoing research interest in the use of patient preference information in healthcare decision-making (see Mott, 2018), stemming from his doctoral research, and has spoken on issue panels at leading international health economics conferences on this subject.

David returned to the Office of Health Economics in September 2019. He has a BSc in Economics and an MSc in Economics & Health Economics, both from the University of Sheffield, and completed his PhD at the Institute of Health & Society at Newcastle University.

A selection of David's papers, publications and presentations

Note: OHE publications and working papers are available for download from the Publications section of this website.

Mott, D.J., Shah, K.K., Ramos-Goñi, J.M., Devlin, N.J. and Rivero-Arias, O. 2019. Valuing EQ-5D-Y health states using a discrete choice experiment: do adult and adolescent preferences differ? OHE Research Paper, London: Office of Health Economics.

Hampson, G., Mott, D.J., Shah, K.K. 2019. Public Preferences for Health Gains and Cures: A Discrete Choice Experiment. OHE Consulting Report, London: Office of Health Economics.

Shen, J., Hill, S., Mott, D.J., Breckons, M., Vale, L. and Pickard, R. 2019. Conducting a time trade-off study alongside a clinical trial: a case study and recommendations. PharmacoEconomics - Open, 3(1), pp.5-20.

Cubi-Molla, P., Mott, D.J., Shah, K.K., Herdman, M., Summers, Y. and Devlin, N.J. 2018. Quality of Life in Long-term Cancer Survivors: Implications for Future Health Technology Assessments in Oncology. OHE Consulting Report, London: Office of Health Economics.

Mott, D.J. 2018. Incorporating quantitative patient preference data into healthcare decision making processes: is HTA falling behind? The Patient, 11(3), pp.249-252.

Stoniute, J., Mott, D.J. and Shen, J., 2018. Challenges in valuing temporary health states for economic evaluation: A review of empirical applications of the chained time trade-off method. Value in Health, 21(5), pp.605-611.

Mott, D.J. and Najafzadeh, M., 2016. Whose preferences should be elicited for use in health- care decision-making? A case study using anticoagulant therapy. Expert Review of Pharmacoeconomics & Outcomes Research, 16(1), pp.33-39.