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老年医学中的性能比较:一个科室的研究。

Performance comparison in geriatric medicine: a study in one department.

作者信息

Cottee M, Millard P H

机构信息

Division of Geriatric Medicine, St George's Hospital Medical School, London, UK.

出版信息

IMA J Math Appl Med Biol. 1995 Sep-Dec;12(3-4):225-34. doi: 10.1093/imammb/12.3-4.225.

Abstract

It is now commonplace to base performance comparison on productivity measurements. Yates recommended the use of Barber-Johnson diagrams to compare activity in acute specialties, but he did not commend their use in specialties with large numbers of beds and long lengths of stay. Performance comparison in geriatric medicine is difficult because factors such as the case mix and the discharge destination influence throughput. We used two mathematical models to compare the performance of five consultants in the same department. A Monte Carlo simulation based on historic-frequency tables indicated that the mean annual admissions to forty beds by the five consultants would vary between 592 and 748 admissions per year and a two-sample t-test indicated that only two of the consultants were the same, whereas the two-compartment flow model based on the average bed occupancy predicted the annual admissions to be between 650 and 856 and it indicated that the two consultants treated longer-stay patients differently. Thus the models identified differences in consultant performance which were not shown by simple statistics. The information required to decide if the variation in consultant performance is due to clinical or other differences is not yet routinely available. However, the benefit of modelling is that it identifies areas of variation and facilitates exploratory discussion.

摘要

如今,基于生产率衡量进行绩效比较已很常见。耶茨建议使用巴伯 - 约翰逊图来比较急性专科的活动情况,但他不主张在床位多且住院时间长的专科中使用。老年医学中的绩效比较很困难,因为病例组合和出院目的地等因素会影响诊疗效率。我们使用两个数学模型来比较同一科室的五位顾问医生的绩效。基于历史频率表的蒙特卡罗模拟表明,这五位顾问医生每年对40张床位的平均年收治量在每年592至748例之间,双样本t检验表明只有两位顾问医生的收治量相同,而基于平均床位占用率的双室流动模型预测年收治量在650至856例之间,并且表明这两位顾问医生对住院时间较长的患者的治疗方式不同。因此,这些模型识别出了顾问医生绩效方面的差异,而简单统计并未显示出这些差异。判断顾问医生绩效差异是由于临床差异还是其他差异所需的信息尚未常规可得。然而,建模的好处在于它能识别出差异领域并促进探索性讨论。

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