Dr Elizabeth Goodwin
South Cloisters 1.06
After completing her first stint of higher education, Liz held a series of roles in Plymouth City Council’s housing and social care departments, encompassing homelessness and housing advice, development of carers support services, IT project implementation and performance management.
She made the switch to Health Economics six years ago by taking on a trainee position as a Health Economist with NHS Plymouth, during which she completed an MSc in Health Economics and Health Policy at the University of Birmingham.
Liz joined the Health Economics Group in 2011 to study full-time for a PhD and has remained within the Group, having been employed as a Research Fellow in Health Economics since April 2014.
Broad research specialisms
Liz’s research, which is funded by the MS Society, aims to extend and improve the data available to inform the assessment of treatments and services for MS. This includes developing a health outcome measure for Multiple Sclerosis that is suitable for use in economic evaluations, quantifying the impact of fatigue on the quality of life of people with MS, and exploring the wider societal impacts of MS.
Having worked as a commissioner for the NHS, Liz retains an interest in the ways that decisions are made regarding the allocation of healthcare resources at a local level, and has published an account of her own experience of implementing and evaluating a systematic resource allocation method (programme budgeting and marginal analysis) within NHS Plymouth.
Twitter account: @madjka
- 1992 BSc (Hons) Economics and Politics (University of Bath)
- 1993 MSc Information Technology for Manufacture (University of Warwick)
- 2006 MSc Social Research (University of Plymouth)
- 2011 MSc Health Economics and Health Policy (University of Birmingham)
- 2014: PhD Medical Studies, specialising in Health Economics (University of Exeter Medical School)
Liz’s main research interests are methodological, with a particular focus on how the effects of healthcare interventions on patients’ health-related quality of life can be measured in a way that is suitable for economic evaluations. Specialising in multiple sclerosis (MS), her recent work has centred on the development of an MS-specific preference-based measure, the MSIS-8D, which can be used to generate the weights required to calculate QALYs (quality-adjusted life-years), the primary metric used by healthcare decision-makers in the UK to capture health outcomes for cost-effectiveness analysis.
Liz’s current research includes the further development of the MSIS-8D to provide QALY weights from the perspective of people with MS, and an exploration of how the preferences of people with MS for MSIS-8D health states may differ from the preferences of the general population. Future research will use existing data to map Fatigue Severity Scale scores to two commonly used generic QALY measures (EQ-5D and SF-6D), enabling the impact of fatigue to be included in cost-effectiveness assessments of treatments for MS. Plans are also in place to investigate the potential wider societal impacts of MS on people's lives, such as issues related to employment decisions, participation in usual activities, provision and receipt of informal care and access to welfare benefits.
Putting the "Q" into QALYs for multiple sclerosis: Estimating quality-adjusted life-years (QALYs) for use in multiple sclerosis research and health policy settings (PhD studentship, funded by the Multiple Sclerosis Society of Great Britain and Northern Ireland, 2011-2014
Extending the evidence on quality adjusted life years (QALYs) in MS-related research/ policy, and on the framework for cost-effectiveness analyses in the context of MS (Junior Fellowship, funded by the MS Society, 2015-2018).
Publications by category
Publications by year
Liz has been involved in developing and delivering the following workshops for health service researchers and health and social care professionals:
• Introduction to Economic Evaluation
• Economic evaluation: Introduction to the EQ-5D, SF-6D and SF-12
• Counting the costs. Economic analysis: Introduction to the collection and costing of health care resource use data