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Studying determinants of length of hospital stay.

机译:研究住院时间的决定因素。

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摘要

Clinicians are accustomed to focusing on individual patients. However, when studying how long their patients stay in the hospital, the focus must widen. Length of stay summarizes the performance of the entire, exceedingly complex, NICU system. Ordinary statistical methods for modeling patient outcomes assume that what happens to one patient is unrelated to what happens to another. However, patients in the same NICU are exposed to similar hospital practices, so patient outcomes may be correlated. Length of stay data must be analyzed by methods that account for possibly correlated outcomes. In addition, to improve patient care and outcomes, predictive models must include determinants clinicians can influence. Such variables describe care process exposures, available beds, demand for beds, and staffing levels.
机译:临床医生习惯于针对个别患者。但是,在研究患者在医院停留多长时间时,重点必须扩大。停留时间总结了整个极其复杂的重症监护病房系统的性能。用于模拟患者结果的普通统计方法假设,一名患者发生的事情与另一名患者发生的事情无关。但是,同一重症监护病房中的患者也可能接受类似的医院操作,因此患者结局可能是相关的。必须使用考虑可能相关结果的方法来分析住院天数。此外,为了改善患者的护理和治疗效果,预测模型必须包括临床医生可以影响的决定因素。这些变量描述了护理过程的暴露程度,可用床位,床位需求和人员配备水平。

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