de Keizer N F, Bonsel G J, Al M J, Gemke R J
Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.
Intensive Care Med. 1998 Oct;24(10):1062-9. doi: 10.1007/s001340050717.
To determine the quantitative relation between the Therapeutic Intervention Scoring System (TISS) in combination with other relevant clinical variables and the real costs of (paediatric) intensive care.
A prospective, observational study.
A Ten-bed paediatric intensive care unit in a university children's hospital.
In a 17-months registration period we collected patient- and treatment-related data for all 611 consecutive admissions. A 21-day calibration period was used to collect detailed data to calculate the real costs of 33 consecutive admissions, in addition to the same data as in the registration period.
We used the Multi Moment Measurement method to measure time spent by nurses and physicians and medication used in the 21-day calibration period. The calibration period data set with explanatory variables including TISS was used to build a regression model to estimate nurse and physician time, which were converted to personnel costs, and to estimate medication costs. The regression models built from the calibration period were subsequently used to estimate the total costs per day and per admission in different patient groups in the registration period.
It was feasible to calculate total direct medical costs based on a limited number of readily available clinical variables related to patient characteristics and treatment, of which TISS was the most important determinant. The proposed methods provide further tools for assessment of (paediatric) intensive care unit performance.
确定治疗干预评分系统(TISS)与其他相关临床变量相结合与(儿科)重症监护实际成本之间的定量关系。
一项前瞻性观察性研究。
一家大学儿童医院的十张床位的儿科重症监护病房。
在为期17个月的登记期间,我们收集了所有611例连续入院患者的患者及治疗相关数据。除登记期间相同的数据外,还使用了为期21天的校准期来收集详细数据,以计算33例连续入院患者的实际成本。
我们使用多时刻测量方法来测量护士和医生花费的时间以及21天校准期内使用的药物。包含TISS等解释变量的校准期数据集用于建立回归模型,以估计护士和医生的时间,并将其转换为人员成本,同时估计药物成本。随后,利用校准期建立的回归模型来估计登记期不同患者组每天和每次入院的总成本。
基于与患者特征和治疗相关的有限数量的易于获取的临床变量来计算总直接医疗成本是可行的,其中TISS是最重要的决定因素。所提出的方法为评估(儿科)重症监护病房的绩效提供了进一步的工具。