Within-laboratory SARS-CoV-2 real time PCR testing operations in Nepal: a simulation-based analysis

IF 5 Q1 HEALTH CARE SCIENCES & SERVICES
Fannie L. Côté , Nadia Lahrichi , Erica Gralla , Hannah Bakker , Parvathy Krishnan Krishnakumari , Joaquim Gromicho , Arunkumar Govindakarnavar , Runa Jha , Lilee Shrestha , Nirajan Bhusal , Saugat Shrestha , Rashmi Mulmi , Priya Jha , Reuben Samuel , Dhamari Naidoo , Victor J. del Rio Vilas
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引用次数: 0

Abstract

Background

COVID-19 has challenged entire health systems, including laboratories. To address the increasing demand for tests to inform the epidemiology of the disease and for case management purposes, many countries made significant investments to rapidly expand laboratory capacity for detecting SARS-CoV-2. In this study, we used a simulated laboratory environment, based on a model of operating laboratories in Nepal, to identify opportunities for improvement.

Methods

We developed a discrete event simulation (DES) model, based on data from and in collaboration with Nepali health authorities, to analyse laboratory operations in Nepal. We used a series of “what-if” scenarios under different levels of testing demand and staffing to investigate bottlenecks in the processing of COVID-19 samples in a simulated laboratory environment, assess the impact of potential reagent shortages and increased automation, and more generally, explore the key factors that drive the performance and resilience of the testing system.

Findings

Suboptimal staff allocation and scheduling can limit the timely return of laboratory results; however, better staff allocation can mitigate bottlenecks and reduce the impact of reagent shortages. For example, when the demand is 720 samples per day and seven staff members are on duty, adding one additional staff member improves reporting time (reduction from 48 h to approximately 32 h). However, changes in scheduling can increase the average time to return the results to over 200 h. A one-day reagent shortage appears to have minimal impact, but a delay of five days significantly increases the reporting time, reaching nearly 150 h. Increasing automation or better process coordination for sample registration can also lead to better performance, reducing the average reporting time from over 60 h to just under 24 h.

Interpretation

Our findings identify important bottlenecks and challenges, along with ways to address them, and thus provide important lessons for improving disease testing operations for this and future pandemics.

Funding

WHO Special Programme for Research and Training in Tropical Diseases (TDR).
尼泊尔实验室内SARS-CoV-2实时PCR检测操作:基于模拟的分析
covid -19对包括实验室在内的整个卫生系统构成了挑战。为了满足日益增长的检测需求,以便为该疾病的流行病学提供信息并用于病例管理,许多国家进行了大量投资,以迅速扩大检测SARS-CoV-2的实验室能力。在这项研究中,我们使用了一个模拟的实验室环境,基于在尼泊尔运行的实验室模型,以确定改进的机会。方法我们根据尼泊尔卫生当局提供的数据并与尼泊尔卫生当局合作开发了一个离散事件模拟(DES)模型,以分析尼泊尔的实验室操作。我们在不同的检测需求和人员配备水平下使用了一系列“假设”场景,以调查在模拟实验室环境中处理COVID-19样品的瓶颈,评估潜在试剂短缺和自动化程度提高的影响,并从更广泛的角度探讨驱动测试系统性能和弹性的关键因素。人员分配和调度不合理会限制实验室结果的及时返回;然而,更好的人员分配可以缓解瓶颈并减少试剂短缺的影响。例如,当每天的需求是720个样本,并且有7名工作人员值班时,增加一名工作人员可以改善报告时间(从48小时减少到大约32小时)。然而,日程安排的变化会使返回结果的平均时间增加到200小时以上。一天的试剂短缺似乎影响很小,但延迟5天会显著增加报告时间。提高样本登记的自动化程度或更好的流程协调也可以带来更好的性能,将平均报告时间从60多小时减少到不到24小时。解释我们的研究结果确定了重要的瓶颈和挑战,以及解决这些问题的方法,从而为改善当前和未来流行病的疾病检测操作提供了重要的经验教训。资助世卫组织热带病研究和培训特别规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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2.20
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