Barwon Heath, Geelong Hospital, Geelong, VIC.
Crit Care Resusc. 2009 Dec;11(4):257-60.
Predicting future demand for intensive care is vital to planning the allocation of resources.
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.
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.
An increase in demand of the forecast magnitude could not be accommodated within current ICU capacity. Significant action will be required.
预测未来对重症监护的需求对于规划资源分配至关重要。
使用自回归综合移动平均(ARIMA)的数学模型,对来自澳大利亚和新西兰重症监护学会(ANZICS)核心数据库的重症监护数据和澳大利亚统计局的人口预测进行了分析,以预测澳大利亚重症监护的未来需求。
该模型预测到 2020 年,重症监护病房的需求将增加超过 50%,目前 2007 年重症监护病房的总床日数(471358 个)预计将增加到 2020 年的 643160 个。还注意到 80 岁以上患者使用重症监护病房的速度加快,该年龄段每 10000 人口的平均床日数从 2006 年的 396 个增加到 2007 年的 741 个。
按照预测的幅度增加需求,将无法容纳在现有的重症监护病房容量之内。需要采取重大行动。