Cannoodt L J, Knickman J R
Health Serv Res. 1984 Dec;19(5):561-85.
To determine reasons for variations in length of stay (LOS) for surgical patients, a comprehensive statistical model was specified and estimated using 1978 discharge abstract data from New Jersey. The model distinguished preoperative LOS from postoperative LOS, and analyzed differences in the impacts of each determining factor on each segment of a hospital stay. The model included a large set of control variables, but the focus of discussion in this article is on factors which reflect the preferences, policies, and organizational routines of hospitals. The empirical findings suggest strategies that hospital managers and regulators can use for reducing average LOS. For example, afternoon admissions often result in extra preoperative days of care even after adjusting for severity of illness. Apparent scarcity of posthospital care in New Jersey also seems to translate into longer hospital stays. Using a comprehensive model and a large, reliable data set, the analysis confirms many hypotheses concerning reasons for LOS variation that have been suggested by earlier research. However, the analysis also raises questions concerning the interpretation of other earlier findings.
为确定外科手术患者住院时间(LOS)存在差异的原因,我们使用来自新泽西州的1978年出院摘要数据,指定并估计了一个综合统计模型。该模型区分了术前住院时间和术后住院时间,并分析了每个决定因素对住院各阶段影响的差异。该模型包含大量控制变量,但本文的讨论重点是反映医院偏好、政策和组织惯例的因素。实证研究结果表明了医院管理人员和监管机构可用于缩短平均住院时间的策略。例如,即使在对病情严重程度进行调整之后,下午入院通常也会导致额外的术前护理天数。新泽西州出院后护理明显不足似乎也导致住院时间延长。通过使用综合模型和大量可靠数据集,该分析证实了早期研究所提出的许多关于住院时间差异原因的假设。然而,该分析也对其他早期研究结果的解释提出了疑问。