Dr Matthew Franklin

BA, MSc, PhD

Population Health, School of Medicine and Population Health

Senior Research Fellow

Population Health Staff Profile - Matt Franklin
Profile picture of Population Health Staff Profile - Matt Franklin
matt.franklin@sheffield.ac.uk
+44 114 222 4226

Full contact details

Dr Matthew Franklin
Population Health, School of Medicine and Population Health
Regent Court (ScHARR)
30 Regent Street
Sheffield
S1 4DA
Profile

I am currently a Senior Health Economist within SCHARR, University of Sheffield. I am also Knowledge Exchange (KE) lead for Health Economics and Decision Science (HEDS), Real-World Evidence for Health Technology Assessment co-lead for the Sheffield Evaluation Hub, and Deputy Director of the Health Economics and Decision Modelling (HEDM) post-graduate course. I am also a member of the SCHARR Outcomes group.

I completed my BA in Economics and MSc in Economics and Health Economics at the University of Sheffield in 2007 and 2008, respectively. I then moved to the University of Nottingham in 2008, working as a Health Economist Research Associate, as well as starting my PhD in Health Economics in 2010. I completed and passed my Viva for my PhD thesis, titled "The role of utility, health, and capabilities in economic evaluation: a case study in frail older people", as of December 2014.

My research has broadly focussed on estimating the comparative cost-effectiveness of different health and social care interventions using economic evaluation methods both within-study and for modelling-based analyses. I am particularly interested in the conduct of economic evaluations that use real-world data to support trials and within observational studies. I have a keen interest in the philosophies of data science tasks, such as working out what we want to estimate, why, and to inform whom, and then working through if this is a description, prediction, or causal inference task. By understanding these philosophies, we can better work though the appropriate methods for the task at hand. I am particularly interested in tasks when causal inference is of interest, which is often the key interest in economic evaluation.

I have a keen interest in the components of economic evaluation related to outcomes (particularly preference-based outcomes), resource-use and costs. I have explored both the conceptual underpinning of relevant outcomes for economic evaluation (such as the focus on health and utilities, alongside other perspectives such as the capability approach), the estimation of these outcomes (such as appropriately estimating health utility, health state utilities, and quality-adjusted life years [QALYs]), and the psychometric properties of patient-reported outcomes with a focus on construct validity and responsiveness. I have explored the use of both self-reported and electronic methods for capturing resource-use, with a keen interest in the use of real-world data such as from administrative databases and electronic health records. I am also interested in how such real-world data can be used for costing studies, such as understanding the economic burden of health conditions and affordability of current health and social care systems. I have used such considerations to explore what is a relevant and appropriate economic evidence-based to inform local compared to national decision-makers, for medical compared to public health considerations, in the context of service evaluations compared to research studies, and when considering average effects compared to the potential inequalities and inequities of such effects.

Economic evaluation and causal inference have a broad range of philosophies, methods, and uses, and I’m generally interested in exploring the nuances and complexities of each of these aspects. I have worked across a range of conditions and population groups, but I have a keen interest in mental health across the lifespan. 

Research interests
  • Economic evaluation alongside trials and using real-world data
  • The philosophies, psychometrics, and practical application of relevant outcomes for economic evaluation
  • Causal inference methodology for within-study economic evaluation or to inform modelling-based evaluations
  • Estimation of health utilities or health state utilities as a description, prediction, or causal inference task
  • The economic burden of conditions in terms of health-related quality of life, and direct and indirect costs and resources
  • Identifying, accessing, and using real-world datasets
  • Mental health across the life course and potential for inequalities and inequities
Publications

Show: Featured publications All publications

Journal articles

Chapters

Reports

All publications

Journal articles

Chapters

Conference proceedings papers

Reports

Datasets

Presentations

Other

Preprints

Professional activities and memberships

Administrative roles

  1. Course Deputy Director for MSc Health Economics and Decision Modelling (HEDM)
  2. HEDS section lead for Knowledge Exchange (KE)
  3. Member of the ScHARR Outcomes group
  4. Sheffield Evaluation Hub co-lead for Real-World Evidence for Health Technology Assessment