Daniel Pollard

Population Health, School of Medicine and Population Health

Research Fellow

Dan Pollard
Profile picture of Dan Pollard
d.j.pollard@sheffield.ac.uk
+44 114 222 6126

Full contact details

Daniel Pollard
Population Health, School of Medicine and Population Health
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
Profile

I joined HEDS in December 2013 as a Research Assistant. Prior to this I studied at the University of York, completing my MSc in Health Economics in 2013 and my BSc(Hons) in Economics in 2012. Since joining HEDs I have been involved in the modelling projects in many different disease areas, including diabetes, oncology and emergency medicine.

Research interests

Current projects

I am currently involved in the following projects:

  • Hypo-RESOLVE - investigating the costs of hypoglycemia 
  • Major Trauma Triage - developing a health economic model to assess the cost-effectiveness of triage rules to determine whether or not people should be sent to a major trauma centre
  • DAFNEplus - investigating the cost-effectiveness of the DAFNEplus structured education and follow up programme compared to the original DAFNE structured education programme for adults with type 1 diabetes
  • Propels - investigating the cost-effectiveness of a programme to increase physical activity in people who are at a higher risk of developing type 2 diabetes
Publications

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Journal articles

All publications

Journal articles

Conference proceedings papers

Reports

  • Latimer N & Pollard D (2019) Pre-read document 1: Challenges in valuing and paying for combination regimens in oncology View this article in WRRO RIS download Bibtex download
  • Pollard D, Cree I & Whyte S (2016) Generic Cancer Screen - Economic modelling report View this article in WRRO RIS download Bibtex download

Preprints

Teaching interests

I currently teach on the following modules of the MSc Health Economics and Decision Modelling:

  • HAR 672: Advanced Simulation Methods
  • HAR 6260: Economic Evaluation
  • HAR 6167: Cost-Effectiveness Modelling for Health Technology Assessment