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Improvement in laboratory test turnaround times for inpatients following move to hub and spoke model of delivery

机译:转移到轮毂和轮辐交付模式后,住院患者的实验室测试周转时间有所缩短

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Objectives The relative merits of hub and spoke models of service delivery are often debated, but accessing data on how they may benefit service delivery can be difficult, and may hinder the adoption of a model which can benefit the health community. Our aim was to provide objective data that would either support or refute one potential benefit of service redesign, namely the effect on turnaround times within the acute hospital. Design and methods Data on turnaround times for sequential requests containing creatinine as a request item received from inpatient locations at two acute hospitals were extracted from the laboratory computer system. Monthly data was collected for a period of 5 months prior to and the same 5 month period following the service redesign. Data was subjected to statistical process control (SPC) analysis. Results There was a statistically significant reduction ( P <0.05) in the average turnaround time of at least 29% for routine requests and 22% for urgent requests, accompanied by a statistically significant reduction ( P <0.05) in upper control limits of least 46% – improving the predictability of result availability and reducing the 95% confidence interval for turnaround times. Conclusions Adoption of a “hub and spoke” model has the potential to support laboratories in improving both urgent and non-urgent turnaround times in a cost-efficient manner within acute hospitals, and reduce the variability in turnaround time. Highlights ? Improvement in laboratory turnaround times following adoption of hub and spoke model. ? Improvements seen for both urgent and routine requests. ? Significant reduction in laboratory turnaround times demonstrated. ? Improved consistency and predictability of laboratory turnaround times.
机译:目标人们经常争论枢纽和轮辐服务提供模式的相对优点,但是很难获得有关它们如何使服务提供受益的数据,并且可能阻碍采用可以使卫生界受益的模型。我们的目的是提供客观的数据,以支持或驳斥重新设计服务的潜在好处,即对急诊医院周转时间的影响。设计和方法从实验室计算机系统中提取了连续性请求的周转时间数据,其中连续性请求包含肌酸酐,这是从两家急诊医院的住院位置收到的请求项。在重新设计服务之前的5个月内以及在重新设计服务之后的5个月内,每月都收集数据。数据经过统计过程控制(SPC)分析。结果常规请求的平均周转时间减少了至少29%,紧急请求的平均周转时间有统计学上的显着减少(P <0.05),同时控制上限值至少46上也有统计学上的显着减少(P <0.05) %–提高结果可用性的可预测性,并减少周转时间的95%置信区间。结论采用“枢纽和轮辐”模式有潜力支持实验室以成本有效的方式改善急诊医院的紧急和非紧急周转时间,并减少周转时间的可变性。强调 ?采用轮毂和轮辐模型后,缩短了实验室的周转时间。 ?紧急请求和常规请求均得到改善。 ?实验室的周转时间大大减少。 ?改进了实验室周转时间的一致性和可预测性。

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