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停电期间的医疗保健:隐藏的成本。

Health care during electricity failure: The hidden costs.

机构信息

Center for Sustainable Energy, University of Notre Dame, South Bend, Indiana, United States of America.

Department of Physics and Preprofessional Studies, College of Science, University of Notre Dame, South Bend, Indiana, United States of America.

出版信息

PLoS One. 2020 Nov 4;15(11):e0235760. doi: 10.1371/journal.pone.0235760. eCollection 2020.

Abstract

BACKGROUND

Surgery risks increase when electricity is accessible but unreliable. During unreliable electricity events and without data on increased risk to patients, medical professionals base their decisions on anecdotal experience. Decisions should be made based on a cost-benefit analysis, but no methodology exists to quantify these risks, the associated hidden costs, nor risk charts to compare alternatives.

METHODS

Two methodologies were created to quantify these hidden costs. In the first methodology through research literature and/or measurements, the authors obtained and analyzed a year's worth of hour-by-hour energy failures for four energy healthcare system (EHS) types in four regions (SolarPV in Iraq, Hydroelectric in Ghana, SolarPV+Wind in Bangladesh, and Grid+Diesel in Uganda). In the second methodology, additional patient risks were calculated according to time and duration of electricity failure and medical procedure impact type. Combining these methodologies, the cost from the Value of Statistical Lives lost divided by Energy shortage ($/kWh) is calculated for EHS type and region specifically. The authors define hidden costs due to electricity failure as VSL/E ($/kWh) and compare this to traditional electricity costs (always defined in $/kWh units), including Levelized Cost of Electricity (LCOE also in $/kWh). This is quantified into a fundamentally new energy healthcare system risk chart (EHS-Risk Chart) based on severity of event (probability of deaths) and likelihood of event (probability of electricity failure).

RESULTS

VSL/E costs were found to be 10 to 10,000 times traditional electricity costs (electric utility or LCOE based). The single power source EHS types have higher risks than hybridized EHS types (especially as power loads increase over time), but all EHS types have additional risks to patients due to electricity failure (between 3 to 105 deaths per 1,000 patients).

CONCLUSIONS

These electricity failure risks and hidden healthcare costs can now be calculated and charted to make medical decisions based on a risk chart instead of anecdotal experience. This risk chart connects public health and electricity failure using this adaptable, scalable, and verifiable model.

摘要

背景

当电力可用但不可靠时,手术风险会增加。在电力不可靠的情况下,并且没有关于增加患者风险的数据的情况下,医疗专业人员根据经验做出决策。决策应该基于成本效益分析,但目前还没有方法来量化这些风险、相关的隐性成本,也没有风险图表来比较替代方案。

方法

创建了两种方法来量化这些隐性成本。在第一种方法中,通过研究文献和/或测量,作者获得并分析了四种能源医疗保健系统(EHS)类型在四个地区的一年中每小时的能源故障(伊拉克的太阳能光伏、加纳的水力发电、孟加拉国的太阳能光伏+风力发电和乌干达的电网+柴油发电)。在第二种方法中,根据电力故障的时间和持续时间以及医疗程序影响类型,计算了额外的患者风险。将这两种方法结合起来,具体为每种 EHS 类型和地区计算出因生命损失而导致的价值除以能源短缺的成本($/kWh)。作者将因电力故障而导致的隐性成本定义为 VSL/E($/kWh),并将其与传统的电力成本(始终以$/kWh 为单位定义)进行比较,包括平准化电力成本(LCOE 也以$/kWh 为单位)。这是根据事件的严重程度(死亡概率)和事件的可能性(电力故障概率)量化为一种全新的能源医疗保健系统风险图表(EHS-Risk Chart)。

结果

VSL/E 成本是传统电力成本(电力公用事业或基于 LCOE)的 10 到 10,000 倍。单一电源 EHS 类型比混合 EHS 类型风险更高(尤其是随着时间的推移,电力负荷增加),但由于电力故障,所有 EHS 类型的患者都面临额外的风险(每 1000 名患者中有 3 到 105 人死亡)。

结论

现在可以计算和绘制这些电力故障风险和隐性医疗保健成本,以便根据风险图表而不是经验做出医疗决策。该风险图表使用这种适应性强、可扩展且可验证的模型将公共卫生与电力故障联系起来。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b58/7641375/551d305f9cba/pone.0235760.g001.jpg

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