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减少手术取消:精益六西格玛在医疗保健领域的成功应用。

Reducing surgical cancellations: a successful application of Lean Six Sigma in healthcare.

作者信息

Schretlen Stijn, Hoefsmit Paulien, Kats Suzanne, van Merode Geofridus, Maessen Jos, Zandbergen Reinier

机构信息

Integrated Health Solutions, Medtronic plc, Maastricht, Nederland, The Netherlands

Heart+Vascular Centre, Maastricht University Medical Centre+, Maastricht, Limburg, The Netherlands.

出版信息

BMJ Open Qual. 2021 Aug;10(3). doi: 10.1136/bmjoq-2021-001342.

Abstract

OBJECTIVE

The COVID-19 pandemic emphasises the need to use healthcare resources efficient and effective to guarantee access to high-quality healthcare in an affordable manner. Surgical cancellations have a negative impact on these. We used the Lean Six Sigma (LSS) methodology to reduce cardiac surgical cancellations in a University Medical Center in the Netherlands, where approximately 20% of cardiac surgeries were being cancelled.

METHOD

A multifunctional project team used the data-driven LSS process improvement methodology and followed the 'DMAIC' improvement cycle (Define, Measure, Analyse, Improve, Control). Through all DMAIC phases, real-world data from the hospital information system supported the team during biweekly problem-solving sessions. This quality improvement study used an 'interrupted time series' study design. Data were collected between January 2014 and December 2016, covering 20 months prior and 16 months after implementation. Outcomes were number of last-minute coronary artery bypass graft cancellations, number of repeated diagnostics, referral to treatment time and patient satisfaction. Statistical process control charts visualised the change and impact over time. Students two-sample t-test was used to test statistical significance. A p<0.05 was considered as statistically significant.

RESULTS

Last-minute cancellations were reduced by 50% (p=0.010), repeated preoperative diagnostics (X-ray) declined by 67% (p=0.021), referral to treatment time reduced by 35% (p=0.000) and patient Net Promoter Score increased by 14% (p=0.005).

CONCLUSION

This study shows that LSS is an effective quality improvement approach to help healthcare organisations to deliver more safe, timely, effective, efficient, equitable and patient-centred care. Crucial success factors were the use of a structured data-driven problem-solving approach, focus on patient value and process flow, leadership support and engagement of involved healthcare professionals through the entire care pathway. Ongoing monitoring of key performance indicators is helpful in engaging the organisation to maintain continuous process improvement and sustaining long-term impact.

摘要

目的

2019冠状病毒病大流行凸显了高效且有效地利用医疗资源以确保以可承受的方式获得高质量医疗服务的必要性。手术取消对这些方面产生负面影响。我们运用精益六西格玛(LSS)方法来减少荷兰一家大学医学中心的心脏手术取消情况,该中心约20%的心脏手术被取消。

方法

一个多功能项目团队采用数据驱动的LSS流程改进方法,并遵循“DMAIC”改进循环(定义、测量、分析、改进、控制)。在DMAIC的所有阶段,来自医院信息系统的实际数据在每两周一次的问题解决会议期间为团队提供支持。这项质量改进研究采用了“中断时间序列”研究设计。数据收集于2014年1月至2016年12月,涵盖实施前20个月和实施后16个月。结果指标包括最后一刻冠状动脉搭桥手术取消数量、重复诊断次数、转诊至治疗的时间以及患者满意度。统计过程控制图直观展示了随时间的变化和影响。采用学生双样本t检验来检验统计学显著性。p<0.05被视为具有统计学显著性。

结果

最后一刻取消手术的情况减少了50%(p = 0.010),术前重复诊断(X线检查)减少了67%(p = 0.021),转诊至治疗的时间减少了35%(p = 0.000),患者净推荐值提高了14%(p = 0.005)。

结论

本研究表明,LSS是一种有效的质量改进方法,有助于医疗保健组织提供更安全、及时、有效、高效、公平且以患者为中心的护理。关键成功因素包括使用结构化的数据驱动问题解决方法、关注患者价值和流程、领导支持以及让相关医疗专业人员在整个护理路径中参与进来。持续监测关键绩效指标有助于促使组织保持持续的流程改进并维持长期影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/71e6/8407222/25b6c05d92c2/bmjoq-2021-001342f01.jpg

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