Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Neurourol Urodyn. 2023 Jan;42(1):289-296. doi: 10.1002/nau.25081. Epub 2022 Nov 2.
To analyze quality control in urodynamic studies, using a proportion control chart (p-chart) for statistical process control.
This single-center study was conducted at the Urodynamic Center of West China Hospital, Sichuan University. We randomly selected 15 samples from each month in 2020, and 180 urodynamic traces were finally enrolled. We used the p-chart of statistical process control for analysis. We calculated the proportion of the incidence of a selected set of artefacts in the monthly urodynamic study process, including non-standard zero setting, no cough test, incomplete records of all measurements by urodynamicists, catheter displacement, and baseline drift. Through the specific calculation formula of statistical process control, we obtained the values of the center line, lower control limit, and upper control limit.
All data points of each artefact were within zone A. However, one outlier was found in the p-chart of all artefacts in October, which might have been caused by inexperienced operators.
Statistical process control may play an important role in the process control of urodynamic studies and guide us in identifying the cause of poor quality in process management.
使用比例控制图(p 图)进行统计过程控制,分析尿动力学研究中的质量控制。
本单中心研究在四川大学华西医院尿动力学中心进行。我们随机选取了 2020 年每个月的 15 个样本,最终纳入了 180 份尿动力描记图。我们使用统计过程控制的 p 图进行分析。我们计算了每月尿动力学研究过程中选定的一组伪迹的发生率比例,包括非标准零位设置、无咳嗽试验、尿动力学医师未完整记录所有测量值、导管移位和基线漂移。通过统计过程控制的具体计算公式,我们得到了中心线、下控制限和上控制限的值。
每个伪迹的所有数据点都在区域 A 内。然而,10 月所有伪迹的 p 图中发现了一个离群值,可能是由于操作人员缺乏经验所致。
统计过程控制可能在尿动力学研究的过程控制中发挥重要作用,并指导我们识别过程管理中质量不佳的原因。