Jambor Elisabeth, Viana Joe, Reuter-Oppermann Melanie, Müller-Polyzou Ralf
University of Kaiserslautern-Landau (RPTU), Kaiserslautern, Germany.
Department of Accounting and Operations Management, BI Norwegian Business School, Oslo, Norway.
PLoS One. 2025 Jan 16;20(1):e0314190. doi: 10.1371/journal.pone.0314190. eCollection 2025.
Radiotherapy practice for cancer treatment is resource-intensive and demands optimised processes for patient throughput while guaranteeing the quality and safety of the therapy. With the COVID-19 pandemic, ad-hoc changes in the operation of radiotherapy centres became necessary to protect patients and staff. This simulation study aimed to quantify the impact of designated COVID-19 protection measures and pandemic-related staff absence on patient waiting times and throughput. The approach also enables analysis of protective measures and process adjustments for future business disruptions.
A discrete event simulation model of a stand-alone radiotherapy centre was developed and used to analyse changes in patient flow when implementing COVID-19 protection measures and experiencing staff absence. The simulation results support business continuity planning and decision-making in radiotherapy. In total, twenty-one scenarios in three categories were analysed. Category 1 scenarios investigated the effect of healthcare staff and equipment shortfalls. Category 2 scenarios simulated the impact of additional COVID-19 protection measures at low COVID-19 incidence rates, while category 3 scenarios evaluated the changes at high incidence rates.
The simulation results suggested increased patient waiting times when staff is absent. Most scenarios of the three categories behave similarly despite increased patient waiting times due to COVID-19 protection measures in categories 2 and 3. The most significant increase in patient waiting times occurs when only two radiation therapists are available. The absence of a linear accelerator for cancer treatment also leads to increased waiting times. Scenarios where one administrator is absent show the longest average and maximum waiting times for low COVID-19 incidence rates. COVID-19 protection measures reduce patient throughput. In all scenarios, with reduced patient throughput, follow-up radiation appointments were affected.
The simulated scenario results suggest that appropriate staffing of the radiotherapy centre during a pandemic crisis is essential and that staff absence can lead to prolonged patient waiting times and reduced throughput with severe continuity of care consequences. The simulation model demonstrated that centre administrators are a bottleneck if they must perform COVID-19 protection measures in addition to their administrative duties. The effect could be mitigated by outsourcing COVID-19 protection tasks to external service providers or other centre staff.
癌症治疗的放射治疗实践资源密集,需要优化流程以提高患者 throughput,同时保证治疗的质量和安全性。随着 COVID-19 大流行,放射治疗中心的运营需要临时改变,以保护患者和工作人员。本模拟研究旨在量化指定的 COVID-19 保护措施以及与大流行相关的工作人员缺勤对患者等待时间和 throughput 的影响。该方法还能够分析针对未来业务中断的保护措施和流程调整。
开发了一个独立放射治疗中心的离散事件模拟模型,并用于分析实施 COVID-19 保护措施和工作人员缺勤时患者流程的变化。模拟结果支持放射治疗中的业务连续性规划和决策。总共分析了三类中的 21 种情况。第 1 类情况研究了医护人员和设备短缺的影响。第 2 类情况模拟了在 COVID-19 低发病率时额外的 COVID-19 保护措施的影响,而第 3 类情况评估了高发病率时的变化。
模拟结果表明工作人员缺勤时患者等待时间增加。尽管第 2 类和第 3 类中的 COVID-19 保护措施导致患者等待时间增加,但三类中的大多数情况表现相似。当只有两名放射治疗师可用时,患者等待时间增加最为显著。缺少癌症治疗用的直线加速器也会导致等待时间增加。在 COVID-19 低发病率时,一名管理人员缺勤的情况显示平均和最长等待时间最长。COVID-19 保护措施降低了患者 throughput。在所有情况下,随着患者 throughput 的降低,后续放射治疗预约受到影响。
模拟情况结果表明,在大流行危机期间,放射治疗中心配备适当人员至关重要,工作人员缺勤会导致患者等待时间延长和 throughput 降低,并对护理连续性产生严重影响。模拟模型表明,如果中心管理人员除行政职责外还必须执行 COVID-19 保护措施,他们会成为瓶颈。将 COVID-19 保护任务外包给外部服务提供商或其他中心工作人员可以减轻这种影响。