This is a past event
Dr David Meads is an Associate Professor at the Leeds Institute of Health Sciences at the University of Leeds.
David leads the Economic Evaluation for HTA module on the Health Economics MSc. He is lead economist on several trials, decision modelling and patient preference studies. David is a co-applicant and lead health economist on a number of NIHR- and charity-funded research projects. These include economic evaluations alongside clinical trials, decision-analytic modelling and stated preference studies. He is interested in exploring and improving decision making in healthcare at individual and organisational levels. He is also keen to explore the potential for economics (and behavioural economics) to change behaviour, for example, through the use of financial incentives.
Title: Exploring the impact of choice on cost-effectiveness: A case study in community intravenous antibiotics for infections.
Abstract: Shared decision making, patient preference and choice are becoming increasingly important in health care provision. They are part of the NHS agenda at a national level and, at a local level, commissioners are charged with providing treatments and services that meet patient preferences but that at the same time represent value for money. Such patient-directed care is likely to have significant resource allocation implications. This study used information from a discrete choice experiment (DCE) and economic evaluation to explore the impact of choice on cost-effectiveness metrics and aimed to provide insight into how these approaches might be combined to inform decision making.
The case study is that of the provision of community delivered intravenous antibiotics for infections. A range of service models exist (e.g. hospital outpatient, nurse at home, self-administration) but service provision varies widely geographically. A DCE was conducted to determine patient preferences for different aspects of service models (including where treatment occurs, number of treatments per day, who administers the treatment, risk of adverse events) and used decision-analytic models to estimate the cost-effectiveness of services. Using preference estimates from the DCE, I explore the impact of different levels of service provision and uptake on estimates of cost-effectiveness and decision uncertainty and discuss avenues for future research.
- Hosted by
- Dr Graham Scotland
- Venue
- Health Services Building. Rm115