Jones Rodney P
Healthcare Analysis and Forecasting, Wantage OX12 0NE, UK.
Int J Environ Res Public Health. 2025 Jan 10;22(1):87. doi: 10.3390/ijerph22010087.
This study investigates the process of planning for future inpatient resources (beds, staff and costs) for maternity (pregnancy and childbirth) services. The process of planning is approached from a patient-centered philosophy; hence, how do we discharge a suitably rested healthy mother who is fully capable of caring for the newborn baby back into the community? This demonstrates some of the difficulties in predicting future births and investigates trends in the average length of stay. While it is relatively easy to document longer-term (past) trends in births and the conditions relating to pregnancy and birth, it is exceedingly difficult to predict the future nature of such trends. The issue of optimum average bed occupancy is addressed via the Erlang B equation which links number of beds, average bed occupancy and turn-away. Turn-away is the proportion of times that there is not an immediately available bed for the next arriving inpatient. Data for maternity units show extreme and unexplained variation in turn-away. Economy of scale implied by queuing theory (and the implied role of population density) explains why many well intended community-based schemes fail to gain traction. The paper also addresses some of the erroneous ideas around the dogma that reducing length of stay 'saves' money. Maternity departments are encouraged to understand how their costs are calculated to avoid the trap where it is suggested by others that in reducing the length of stay, they will reduce costs and increase 'efficiency'. Indeed, up to 60% of calculated maternity 'costs' are apportioned from (shared) hospital overheads from supporting departments such as finance, personnel, buildings and grounds, IT, information, etc., along with depreciation charges on the hospital-wide buildings and equipment. These costs, known as 'the fixed costs dilemma', are totally beyond the control of the maternity department and will vary by hospital depending on how these costs are apportioned to the maternity unit. Premature discharge, one of the unfortunate outcomes of turn-away, is demonstrated to shift maternity costs into the pediatric and neonatal departments as 'boomerang babies', and then require the cost of avoidable inpatient care. Examples are given from the English NHS of how misdirected government policy can create unforeseen problems.
本研究调查了为产科(怀孕和分娩)服务规划未来住院资源(床位、工作人员和成本)的过程。规划过程从以患者为中心的理念出发;那么,我们如何将一位充分休息、完全有能力照顾新生儿的健康母亲送回社区呢?这显示了预测未来出生人数的一些困难,并研究了平均住院时间的趋势。虽然记录出生人数以及与怀孕和分娩相关情况的长期(过去)趋势相对容易,但预测此类趋势的未来性质却极其困难。通过将床位数量、平均床位占用率和拒收率联系起来的埃尔朗B方程来解决最佳平均床位占用率问题。拒收率是指下一位住院患者到达时没有立即可用床位的次数比例。产科病房的数据显示拒收率存在极端且无法解释的差异。排队论所暗示的规模经济(以及人口密度的隐含作用)解释了为什么许多本意良好的社区方案未能获得成功。本文还探讨了围绕减少住院时间就能“省钱”这一教条的一些错误观念。鼓励产科部门了解其成本是如何计算的,以避免陷入他人所暗示的陷阱,即认为减少住院时间就能降低成本并提高“效率”。实际上,高达60%的计算得出的产科“成本”是由财务、人事、建筑与场地、信息技术、信息等支持部门分摊的(共享)医院间接费用,以及全院建筑和设备的折旧费用。这些成本,即所谓的“固定成本困境”,完全超出了产科部门的控制范围,并且会因医院而异,具体取决于这些成本如何分摊到产科病房。提前出院是拒收的不幸后果之一,事实证明,这会将产科成本以“回旋镖婴儿”的形式转移到儿科和新生儿科,然后需要支付可避免的住院护理费用。文中列举了英国国民医疗服务体系中政府政策方向错误如何导致意外问题的例子。