Predicting Future Intensive Care Demand in Australia

Background: Predicting future demand for intensive care is vital to planning the allocation of resources. Method: Mathematical modelling using the autoregressive integrated moving average (ARIMA) was applied to intensive care data from the Australian and New Zealand Intensive Care Society (ANZICS) C...

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Veröffentlicht in:Critical care and resuscitation 2009-12, Vol.11 (4), p.257-260
Hauptverfasser: Corke, Charlie, Leeuw, Evelyne de, Lo, Sing K, George, Carol
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container_end_page 260
container_issue 4
container_start_page 257
container_title Critical care and resuscitation
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creator Corke, Charlie
Leeuw, Evelyne de
Lo, Sing K
George, Carol
description Background: Predicting future demand for intensive care is vital to planning the allocation of resources. Method: Mathematical modelling using the autoregressive integrated moving average (ARIMA) was applied to intensive care data from the Australian and New Zealand Intensive Care Society (ANZICS) Core Database and population projections from the Australian Bureau of Statistics to forecast future demand in Australian intensive care. Results: The model forecasts an increase in ICU demand of over 50% by 2020, with current total ICU bed-days (in 2007) of 471 358, predicted to increase to 643 160 by 2020. An increased rate of ICU use by patients older than 80 years was also noted, with the average bed-days per 10 000 population for this group increasing from 396 in 2006 to 741 in 2007. Conclusion: An increase in demand of the forecast magnitude could not be accommodated within current ICU capacity. Significant action will be required.
doi_str_mv 10.1016/S1441-2772(23)01284-X
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source MEDLINE; Alma/SFX Local Collection; EZB Electronic Journals Library
subjects Adolescent
Adult
Aged
Aged, 80 and over
Australia
Child
Child, Preschool
Critically ill
Evaluation
Forecasting
Hospital Bed Capacity
Humans
Infant
Infant, Newborn
Intensive care units
Intensive Care Units - trends
Medical care
Medical care surveys
Middle Aged
Needs Assessment
Young Adult
title Predicting Future Intensive Care Demand in Australia
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