Evaluating individual hospital quality through outcome statistics.
Evaluating individual hospital quality through outcome statistics.
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通过结果统计评估个别医院的质量。
DOI：
10.1001/jama.1986.03370200082032
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发表时间：
1986
期刊：
影响因子：
--
通讯作者：
S. S. Hunt
中科院分区：
文献类型：
--
作者：
H. Luft;S. S. Hunt
病例摘要数据通常由医院摘要服务机构、同行审查组织和一些州机构收集。这些数据在大量医院的绩效模式分析中被证明是非常有价值的，并显示了，例如，特定于诊断或特定程序的容量与结果之间的反向关系。常规收集的数据似乎也是一种有吸引力的手段，可以用来确定医院，或许还有医生，对他们的患者来说，结果是好是坏。不幸的是，患者数量少和不良结果发生率相对较低的问题，使得对个别表演者的识别很难有信心。最近的心导管术患者的数据被用来说明这个问题。
Case abstract data are routinely collected by hospital abstracting services, peer review organizations, and some state agencies. These data have proved invaluable in the analysis of patterns of performance across large numbers of hospitals and have shown, for example, the inverse relation between diagnosis- or procedure-specific volume and outcome. Routinely collected data also appear to be an attractive means for identifying hospitals, and perhaps physicians, with particularly good or poor outcomes for their patients. Unfortunately, problems of small numbers of patients and relatively low rates of poor outcomes make it difficult to be confident in the identification of individual performers. Recent data for cardiac catheterization patients are used to illustrate this problem.