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An Econometric Analysis of Patient Flows in the Cardiac Intensive Care Unit

机译:心脏重症监护病房患者流量的计量经济学分析

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This paper explores the rationing of bed capacity in a cardiac intensive care unit (ICU). We find that the length of stay for patients admitted to the ICU is influenced by the occupancy level of the ICU. In particular, a patient is likely to be discharged early when the occupancy in the.ICU is high. This in turn leads to an increased likelihood of the patient having to be readmitted to the ICU at a later time. Such "bounce-backs" have implications for the overall ICU effective capacity-an early discharge immediately frees up capacity, but at the risk of a (potentially much higher) capacity requirement when the patient needs to be readmitted. We analyze these capacity implications, shedding light on the question of whether an ICU should apply an aggressive discharge strategy or if it should follow the old quality slogan and "do it right the first time." By comparing the total capacity usage for patients who were discharged early versus those who were not, we show that an aggressive discharge policy applied to patients with lower clinical severity levels frees up capacity in the ICU. However, we find that an increased number of readmissions of patients with high clinical severity levels occur when the ICU is capacity constrained, thereby effectively reducing peak bed capacity.
机译:本文探讨了心脏重症监护病房(ICU)的床容量分配。我们发现,入住ICU的患者的住院时间受ICU的占用水平影响。特别地,当ICU中的占用率很高时,患者很可能早出院。这继而导致增加了患者在稍后的时间再次被送入ICU的可能性。这种“反弹”对整体ICU有效容量具有影响-尽早出院可立即释放容量,但是当需要重新接纳患者时,存在容量需求(可能更高)的风险。我们分析了这些容量含义,阐明了ICU应该采用积极的放电策略还是遵循旧的质量口号并“第一时间正确”的问题。通过比较早期出院的患者和未出院的患者的总容量使用情况,我们表明,针对临床严重程度较低的患者采用积极的出院策略可释放ICU的容量。但是,我们发现,当ICU的容量受到限制时,具有较高临床严重性水平的患者的再入院次数会增加,从而有效地降低了高峰床容量。

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