Please use this identifier to cite or link to this item: https://hdl.handle.net/10620/18627
Longitudinal Study: HILDA
Title: Approaches to projecting future healthcare demand
Authors: Matias, Maria Ana
Santos, Rita
Kasteridis, Panos
GRasic, Katja
Mason, Anne
Rice, Nigel 
Institution: Centre for Health Economics, University of York
Publication Date: Apr-2022
Abstract: Background, Existing projections of healthcare expenditure in the UK describe a wide range of possible spending futures. In part, these reflect uncertainties about growth in demand, but they also reflect differences in modelling approaches and in their underlying assumptions. The rise in healthcare demand, and its consequent impact on expenditures, has stimulated interest among policymakers in better projecting future healthcare needs to aid the management and organisation of healthcare resources. More accurate projections are expected to allow the healthcare system to adapt and prepare for future challenges. However, with a plethora of different and emerging methodologies and approaches to project future outcomes and events, it is increasingly challenging to select appropriate techniques for a given research objective such as the demand for health care, within a specific context such as the UK National Health Service (NHS).
URL: https://ideas.repec.org/p/chy/respap/186cherp.html
Research collection: Books
Appears in Collections:Reports

Files in This Item:
File Description SizeFormat 
CHERP186_projecting_healthcare_demand.pdf2.19 MBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

292
checked on Dec 4, 2024

Download(s)

170
checked on Dec 4, 2024
Google icon

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.