CORMSIS Seminar - Simulation based Resource Modelling in Health Technology Assessment Event

Event details

Abstract: Economic analyses typically ignore the short-term constraints such as availability of staff (e.g. doctors) or equipment (e.g. beds). It is assumed that all physical resources (e.g. doctors, nurses, beds, scanners and etc.) required by the new technology are immediately available and consumed, regardless of actual supply constraints (or likely demand). Ignoring these constraints may result in negative consequences varying from low levels of uptake through to infeasibility (i.e. the technology not being implemented). There are modelling techniques (e.g. discrete-event simulation, system-dynamic simulation and/or agent-based simulation) that can capture these resource implications. This PhD research is about ‘resource modelling’, which involves understanding the resource requirements for implementing a technology, in order to identify any potential capacity constraints. Different case studies is used to model the associated resource requirements for a given technology, and capture the effect of any potential constraints. This was done by adapting published cost effectiveness models i.e. published models will be redeveloped including resource modelling aspects, using simulation modelling techniques. This presentation focuses on the issue, some of the reasons for this and the up-to-date findings for this research.