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通过根本原因分析和使用系统行为图提高 ICSI 成功率:细节决定成败!

Improving ICSI success rates following root cause analysis and use of system behaviour charts: the devil is in the detail!

机构信息

Department of Life Sciences, Manchester Metropolitan University, Manchester, UK

Department of Life Sciences, Manchester Metropolitan University, Manchester, UK.

出版信息

BMJ Open Qual. 2022 Nov;11(4). doi: 10.1136/bmjoq-2022-002003.

Abstract

A fertility clinic observed a reduction in its fresh intracytoplasmic sperm injection (ICSI) implantation rate key performance indicator (KPI) below benchmark threshold which was further monitored but did not improve. The clinic had been performing ICSI successfully for >16 years with good ICSI implantation rates meeting benchmark level. A root cause analysis (RCA) was conducted, including the input from an external observer, reviewing all systems and processes. A bundle of recommended changes was implemented as part of an improvement cycle with the aim to increase fresh ICSI implantation rates back to benchmark. Quality improvement (QI) methodology and tools were used including Statistical-Process-Control charts (BaseLine SAASoft). Measurements included standard clinical outcome data. KPIs were tracked following defined and controlled clinical and laboratory changes. Fresh ICSI implantation rates improved significantly (p=0.013, ChiSq). The improvement work was limited by its design of a plan-do-study-act (PDSA) cycle 'intervention bundle' as opposed to small PDSA cycles of single changes. Therefore, the improvement could not be attributed to any singular intervention within the bundle. It took longer than anticipated to see improvement due to the impact of the pandemic. The QI project highlighted the difficulty for clinics with low cycle volumes to sensitively monitor KPI's in a timely and responsive way. The need to accumulate sufficient data to be confident of any trends/concerns means small clinics could be less responsive to any problems or too reactive to false positives. It is important to disseminate the learning from this improvement work because there is currently no agreed standardised optimal protocol for ICSI, resulting in clinics using slightly different approaches, and there are limited published reports where embryology KPI's are tracked following defined and controlled laboratory/clinical changes. This project provides useful knowledge about ICSI improvement interventions and could be more effective within a larger clinic with higher cycle volumes.

摘要

一家生育诊所观察到其新鲜胞浆内单精子注射 (ICSI) 植入率关键绩效指标 (KPI) 低于基准阈值,进一步监测但未改善。该诊所已经成功进行 ICSI 超过 16 年,ICSI 植入率良好,达到基准水平。进行了根本原因分析 (RCA),包括外部观察员的投入,审查了所有系统和流程。实施了一整套推荐的变更,作为改进周期的一部分,旨在将新鲜 ICSI 植入率提高到基准水平。使用了质量改进 (QI) 方法和工具,包括统计过程控制图 (BaseLine SAASoft)。测量包括标准临床结果数据。在定义和控制临床和实验室变化后,跟踪 KPI。新鲜 ICSI 植入率显著提高 (p=0.013, ChiSq)。改进工作受到其计划-执行-研究-行动 (PDSA) 周期“干预包”设计的限制,而不是单个变更的小 PDSA 周期。因此,改进不能归因于包内的任何单一干预。由于大流行的影响,看到改进需要更长的时间。QI 项目强调了低周期量的诊所难以及时和响应方式敏感地监测 KPI 的困难。需要积累足够的数据以对任何趋势/问题有信心意味着小诊所对任何问题的反应可能较慢,或者对假阳性的反应过度。重要的是要传播这项改进工作的学习成果,因为目前没有针对 ICSI 的标准化最佳方案,导致诊所使用略有不同的方法,并且发表的关于胚胎学 KPI 随定义和控制的实验室/临床变化进行跟踪的报告有限。该项目提供了有关 ICSI 改进干预措施的有用知识,并且在周期量较高的大型诊所中可能更有效。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/183e/9664290/be4ae559bf82/bmjoq-2022-002003f01.jpg

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