Frequency, financial impact, and factors associated with cost outliers in intensive care units: a cohort study in Belgium.

Critical care science Pub Date : 2025-01-27 eCollection Date: 2025-01-01 DOI:10.62675/2965-2774.20250207
Arnaud Bruyneel, Julie Van den Bulcke, Pol Leclercq, Magali Pirson
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Abstract

Objective: This study aimed to explore the association between high outliers and intensive care unit admissions and to identify the factors contributing to high intensive care unit costs.

Methods: This retrospective cohort study used data from 17 Belgian hospitals from 2018 and 2019. The study focused on the 10 most frequently admitted diagnosis-related groups in the intensive care unit. The dataset included medical discharge summaries and cost per stay from the hospital perspective.

Results: A total of 39,279 hospital stays were analyzed, 11,124 of which were intensive care unit admissions; additionally, 2,500 of these stays were high outliers. The proportion of high outliers was significantly greater in the intensive care unit group, and admission to the intensive care unit was significantly associated with high outliers in the multivariate analyses. Factors associated with high intensive care unit outliers included the medical diagnosis-related group category, patients from nursing homes, intensive care unit stay duration exceeding 4 days, and specific technical procedures (measurement of intracranial pressure, continuous hemofiltration, and mechanical ventilation).

Conclusion: Admission to the intensive care unit increases the likelihood of being classified as an outlier, thus significantly impacting hospital costs. This study identified factors that can be used to predict intensive care unit outliers, which can enable adjustments to diagnosis-related group-based funding for intensive care units.

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频率、财务影响以及与重症监护病房成本异常值相关的因素:比利时的一项队列研究。
目的:本研究旨在探讨高异常值与重症监护病房入院之间的关系,并确定导致重症监护病房费用高的因素。方法:本回顾性队列研究使用了2018年至2019年比利时17家医院的数据。这项研究集中在重症监护病房最常入院的10个诊断相关组。数据集包括医院角度的医疗出院摘要和每次住院费用。结果:共分析了39279例住院病例,其中重症监护病房住院病例11,124例;此外,这些停留中有2500个是高异常值。高异常值的比例在重症监护室组明显更大,在多变量分析中,入住重症监护室与高异常值显著相关。与高重症监护病房异常值相关的因素包括医疗诊断相关的组类别、来自养老院的患者、重症监护病房住院时间超过4天,以及特定的技术程序(测量颅内压、持续血液过滤和机械通气)。结论:入住重症监护室增加了被归类为异常值的可能性,从而显著影响了医院费用。本研究确定了可用于预测重症监护病房异常值的因素,这可以调整与诊断相关的基于小组的重症监护病房资金。
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