Related Experiment Video
Updated: Aug 23, 2025

Author Spotlight: Enhanced Urodynamic Method for Precise Urine Measurement in Awake Mice with Neurogenic Bladder
Published on: June 7, 2024
Statistical process control for the analysis of quality control in urodynamics: A potential new approach for quality
Xiao Zeng1, Si-Hong Shen1, Hong Shen1
1Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan, People's Republic of China.
Purpose:
To analyze quality control in urodynamic studies, using a proportion control chart (p-chart) for statistical process control.
Materials And Methods:
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.
Results:
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.
Conclusions:
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.
Related Concept Videos
Urodynamic Studies: Uroflowmetry
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Introduction to Statistical Process Control
Quality Assurance
The X̄ Chart
The x̄ chart, often known as the individual control chart, is a crucial tool in statistical process control. It is designed to monitor process behavior and performance over time and is widely used in various industries to ensure that processes are operating at their optimum capacity and within specified limits.
A x̄ chart is constructed by plotting individual measurements of a quality...
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...

