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Estimating excess length of stay due to healthcare-associated infections: a systematic review and meta-analysis of statistical methodology

机译:估计由于医疗保健相关感染的过剩长度:统计方法的系统审查和荟萃分析

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摘要

Background: Healthcare-associated infection (HCAI) affects millions of patients worldwide. HCAI is associated with increased healthcare costs, owing primarily to increased hospital length of stay (LOS) but calculating these costs is complicated due to time-dependent bias. Accurate estimation of excess LOS due to HCAI is essential to ensure that we invest in cost-effective infection prevention and control (IPC) measures.
机译:背景:医疗保健相关感染(HCAI)影响全球数百万患者。 HCAI主要与医疗成本增加有关,主要是增加医院的住宿时间(LOS),但由于时间依赖于时间偏差,计算这些成本很复杂。 由于HCAI准确估算超额洛杉矶,以确保我们投资于经济高效的感染和控制(IPC)措施至关重要。

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