A simulation of dementia epidemiology and resource use in Australia

Abstract Objectives: The number of people in the developed world who have dementia is predicted to rise markedly. This study presents a validated predictive model to assist decision‐makers to determine this population's future resource requirements and target scarce health and welfare resources...

Full description

Saved in:
Bibliographic Details
Main Authors: Lachlan B. Standfield (Author), Tracy Comans (Author), Paul Scuffham (Author)
Format: Book
Published: Elsevier, 2018-06-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_a1befe25bdc94e4893448df65be758e6
042 |a dc 
100 1 0 |a Lachlan B. Standfield  |e author 
700 1 0 |a Tracy Comans  |e author 
700 1 0 |a Paul Scuffham  |e author 
245 0 0 |a A simulation of dementia epidemiology and resource use in Australia 
260 |b Elsevier,   |c 2018-06-01T00:00:00Z. 
500 |a 1753-6405 
500 |a 1326-0200 
500 |a 10.1111/1753-6405.12700 
520 |a Abstract Objectives: The number of people in the developed world who have dementia is predicted to rise markedly. This study presents a validated predictive model to assist decision‐makers to determine this population's future resource requirements and target scarce health and welfare resources appropriately. Methods: A novel individual patient discrete event simulation was developed to estimate the future prevalence of dementia and related health and welfare resource use in Australia. Results: When compared to other published results, the simulation generated valid estimates of dementia prevalence and resource use. The analysis predicted 298,000, 387,000 and 928,000 persons in Australia will have dementia in 2011, 2020 and 2050, respectively. Health and welfare resource use increased markedly over the simulated time‐horizon and was affected by capacity constraints. Conclusions: This simulation provides useful estimates of future demands on dementia‐related services allowing the exploration of the effects of capacity constraints. Implications for public health: The model demonstrates that under‐resourcing of residential aged care may lead to inappropriate and inefficient use of hospital resources. To avoid these capacity constraints it is predicted that the number of aged care beds for persons with dementia will need to increase more than threefold from 2011 to 2050. 
546 |a EN 
690 |a dementia 
690 |a epidemiology 
690 |a discrete event simulation 
690 |a resource use 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Australian and New Zealand Journal of Public Health, Vol 42, Iss 3, Pp 291-295 (2018) 
787 0 |n https://doi.org/10.1111/1753-6405.12700 
787 0 |n https://doaj.org/toc/1326-0200 
787 0 |n https://doaj.org/toc/1753-6405 
856 4 1 |u https://doaj.org/article/a1befe25bdc94e4893448df65be758e6  |z Connect to this object online.