Negative Binomials Regression Model in Analysis of Wait Time at Hospital Emergency Department.

Bill Cai, Iris Shimizu
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Abstract

Wait time is the differences between the time a patient arrives in the emergency department (ED) and the time an ED provider examines that patient. This study focuses on the development of a negative binomial model to examine factors associated with ED wait time using the National Hospital Ambulatory Medical Care Survey (NHAMCS). Conducted by National Center for Health Statistics (NCHS), NHAMCS has been gathering, analyzing, and disseminating information annually about visits made for medical care to hospital outpatient department and EDs since 1992. To analyze ED wait times, a negative binomial model was fit to the ED visit data using publically released micro data from the 2009 NHAMCS. In this model, the wait time is the dependent variable while hospital, patient, and visit characteristics are the independent variables. Wait time was collapsed into discrete values representing 15 minutes intervals. The findings are presented.

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负二项回归模型在医院急诊科等待时间分析中的应用。
等待时间是指患者到达急诊科(ED)和ED医生检查患者的时间之间的时间差。本研究的重点是利用国家医院门诊医疗调查(NHAMCS)建立一个负二项模型来检查与急诊科等待时间相关的因素。自1992年以来,由国家卫生统计中心(NCHS)开展的NHAMCS一直在收集、分析和传播每年到医院门诊部和急诊科就诊的信息。为了分析急诊科等待时间,采用2009年NHAMCS公开发布的微观数据对急诊科就诊数据进行负二项拟合。在该模型中,等待时间为因变量,医院、患者和就诊特征为自变量。等待时间被分解为代表15分钟间隔的离散值。提出了研究结果。
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