使用统计过程控制进行尿动力学测量的典型值范围的质量审查:单中心回顾性研究
Xiao Zeng1, Hong Shen1, Tao Jin1
1Department of Urology, Institute of Urology, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
Bladder (San Francisco, Calif.)
|August 1, 2025
概括
统计过程控制 (SPC) 可以通过分析典型值范围 (TVR) 来提高尿动力学研究 (UDS) 的质量. 这项初步研究显示了SPC.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 改善医疗质量 改善医疗质量
- 统计分析 统计分析
背景情况:
- 尿动力学研究 (UDS) 对于下泌尿道功能评估至关重要.
- 目前对UDS的质量控制方法有限.
- 统计过程控制 (SPC) 为提高UDS质量和减少变化提供了一个潜在的解决方案.
研究的目的:
- 探索SPC在分析尿动力学测量的典型值范围 (TVR) 的应用.
- 评估使用SPC用于UDS数据质量控制的可行性.
主要方法:
- 分析了84个UDS痕迹,以确定初始静脉压 (Pves),腹部压力 (Pabd) 和排骨压力 (Pdet) 的TVR.
- 使用SPC的X-bar和S控制图进行过程性能分析.
- 将记录的TVR数据与标准TVR值进行比较.
主要成果:
- 计算了初始Pves,Pabd和Pdet的平均TVR.
- 控制极限 (CL,UCL,LCL) 通过X条和S条图表来确定.
- 确定了数据点超过控制限值的情况,表明了潜在的质量变化.
结论:
- 在UDS中分析连续变量数据的SPC初步验证,例如TVR.
- 在UDS质量审查中证明了SPC的潜力.
- 建议在更大,多中心,前性研究中进一步验证.
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