James Lathe
PhD
Teaching and Research Fellow
James Lathe is a teaching and research fellow in health economics at the Health Economics Research Centre (HERC). His role spans research, teaching, and advisory work, including evaluating the feasibility of synthetic data for health technology assessment, teaching the Health Economics module of the MSc in Clinical Trials, and delivering HERC short courses such as Integrating Economic Evaluation into Clinical Trials and Applied Methods of Cost-effectiveness Analysis. He also provides expert guidance on health economics methods for the NIHR Research Support Service (RSS).
James' research focuses on advancing methods for economic evaluation, with a particular emphasis on characterising the societal value of improving mental health. His work seeks to incorporate broader value elements into evaluations, addressing critical gaps in traditional methodologies. His PhD at UCL examined the societal costs and benefits of improving population mental health, contributing to the growing field of applied mental health economics.
Before joining HERC, James held research positions at the University of Nottingham, where he contributed to trial-based economic evaluations. He supports clinical and public health research through advisory roles for the RSS and NIHR trial steering committees.
Recent publications
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Individualised variable-interval risk-based screening in diabetic retinopathy: the ISDR research programme including RCT
Harding S. et al, (2023), Programme Grants for Applied Research, 11
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STAndardised DIagnostic Assessment for children and young people with emotional difficulties (STADIA): protocol for a multicentre randomised controlled trial.
Day F. et al, (2022), BMJ Open, 12
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Correction: A Direct-to-Public Peer Support Program (Big White Wall) Versus Web-Based Information to Aid the Self-management of Depression and Anxiety: Results and Challenges of an Automated Randomized Controlled Trial.
Morriss R. et al, (2021), J Med Internet Res, 23
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Correction: A Direct-to-Public Peer Support Program (Big White Wall) Versus Web-Based Information to Aid the Self-management of Depression and Anxiety: Results and Challenges of an Automated Randomized Controlled Trial (Preprint)
Morriss R. et al, (2021)
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A Direct-to-Public Peer Support Program (Big White Wall) Versus Web-Based Information to Aid the Self-management of Depression and Anxiety: Results and Challenges of an Automated Randomized Controlled Trial.
Morriss R. et al, (2021), J Med Internet Res, 23