CyberKnife Center, Istituto Fiorentino di Cura ed Assistenza, Radiation Oncology Unit, University of Florence, Florence, Italy.
Radiation Oncology Unit, Azienda Ospedaliero-Universitaria Careggi, Viale Morgagni 85, 50134, Florence, Italy.
Radiol Med. 2021 May;126(5):717-721. doi: 10.1007/s11547-021-01338-8. Epub 2021 Mar 1.
COVID-19 constitutes a worldwide threat, prompting Italian Government to implement specific measures on March 8, 2020, to protect patients and health workers from disease transmission. The impact of preventive measures on daily activity of a radiotherapy facility may hamper the ability to fulfill normal workload burden. Thus, we assessed the number of delivered treatments in a specific observation period after the adoption of preventive measures (since March 11 to April 24, 2020) and compared it with the corresponding period of the year 2019.
Overall number of delivered fractions was related to actual time of platform daily activity and reported as a ratio between number of delivered fractions and activity hours (Fr/Hrs). Fr/Hrs were calculated and compared for two different periods of time, March 11-April 24, 2019 (Fr/Hrs1), and March 11-April 24, 2020 (Fr/Hrs2).
Fr/Hrs1 and Fr/Hrs2 were 2.66 and 2.54 for year 2019 and 2020, respectively, for a Fr/Hrs of 1.07 (95% CI 1.03-1.12, p = 0.0005). Fr/Hrs1 was significantly higher than Fr/Hrs2 for Sli and Precise, with Fr/Hrs of 1.92 (95% CI 1.66-2.23, p < 0.0001) and 1.11 (95% CI 1.03-1.2, p = 0.003), respectively. No significant difference was reported for Synergy and Cyberknife with Fr/Hrs of 0.99 (95% CI 0.91-1.08, p = 0.8) and 0.9 (95% CI 0.77-1.06, p = 0.2), respectively. Fr/Hrs1 was significantly lower than Fr/Hrs2 for Tomotherapy, with Fr/Hrs of 0.88 (95% CI 0.8-0.96, p = 0.007).
Preventive measures did not influence workload burden performed. Automation in treatment delivery seems to compensate effectively for health workers number reduction.
COVID-19 构成了全球性威胁,促使意大利政府于 2020 年 3 月 8 日实施了特定措施,以保护患者和医务人员免受疾病传播。预防措施对放射治疗设施日常活动的影响可能会阻碍其完成正常工作量的能力。因此,我们评估了采取预防措施后的特定观察期内(自 2020 年 3 月 11 日至 4 月 24 日)所进行的治疗次数,并将其与同年的相应时间段进行了比较。
实际平台每日活动时间与实际交付的分割数相关,并以交付分割数与活动小时数的比值(Fr/Hrs)表示。对于两个不同的时间段,即 2019 年 3 月 11 日至 4 月 24 日(Fr/Hrs1)和 2020 年 3 月 11 日至 4 月 24 日(Fr/Hrs2),分别计算并比较 Fr/Hrs。
Fr/Hrs1 和 Fr/Hrs2 分别为 2019 年和 2020 年的 2.66 和 2.54,Fr/Hrs 为 1.07(95%CI 1.03-1.12,p=0.0005)。Sli 和 Precise 的 Fr/Hrs1 明显高于 Fr/Hrs2,分别为 1.92(95%CI 1.66-2.23,p<0.0001)和 1.11(95%CI 1.03-1.2,p=0.003)。Synergy 和 Cyberknife 的 Fr/Hrs 分别为 0.99(95%CI 0.91-1.08,p=0.8)和 0.9(95%CI 0.77-1.06,p=0.2),差异无统计学意义。Tomotherapy 的 Fr/Hrs1 明显低于 Fr/Hrs2,Fr/Hrs 为 0.88(95%CI 0.8-0.96,p=0.007)。
预防措施并未影响工作量负担。治疗交付的自动化似乎有效地弥补了卫生工作者人数的减少。