Research Institute for Health and Social Change, Elizabeth Gaskell Campus, Manchester Metropolitan University, Manchester.
J Clin Nurs. 2013 Oct;22(19-20):2748-57. doi: 10.1111/jocn.12116. Epub 2013 Mar 11.
To explore and improve the quality of continuous epidural analgesia for pain relief using Statistical Process Control tools.
Measuring the quality of pain management interventions is complex. Intermittent audits do not accurately capture the results of quality improvement initiatives. The failure rate for one intervention, epidural analgesia, is approximately 30% in everyday practice, so it is an important area for improvement. Continuous measurement and analysis are required to understand the multiple factors involved in providing effective pain relief.
Process control and quality improvement
Routine prospectively acquired data collection started in 2006. Patients were asked about their pain and side effects of treatment. Statistical Process Control methods were applied for continuous data analysis. A multidisciplinary group worked together to identify reasons for variation in the data and instigated ideas for improvement. The key measure for improvement was a reduction in the percentage of patients with an epidural in severe pain.
The baseline control charts illustrated the recorded variation in the rate of several processes and outcomes for 293 surgical patients. The mean visual analogue pain score (VNRS) was four. There was no special cause variation when data were stratified by surgeons, clinical area or patients who had experienced pain before surgery. Fifty-seven per cent of patients were hypotensive on the first day after surgery. We were able to demonstrate a significant improvement in the failure rate of epidurals as the project continued with quality improvement interventions.
Statistical Process Control is a useful tool for measuring and improving the quality of pain management.
The applications of Statistical Process Control methods offer the potential to learn more about the process of change and outcomes in an Acute Pain Service both locally and nationally. We have been able to develop measures for improvement and benchmarking in routine care that has led to the establishment of a national pain registry.
探索和提高使用统计过程控制工具进行连续硬膜外镇痛以缓解疼痛的质量。
衡量疼痛管理干预措施的质量很复杂。间歇性审核不能准确捕捉质量改进计划的结果。一项干预措施,即硬膜外镇痛,在日常实践中的失败率约为 30%,因此这是一个需要改进的重要领域。需要进行连续测量和分析,以了解提供有效疼痛缓解所涉及的多个因素。
过程控制和质量改进
2006 年开始进行常规前瞻性数据收集。患者被问及他们的疼痛和治疗的副作用。应用统计过程控制方法进行连续数据分析。一个多学科小组共同努力,找出数据变化的原因,并提出改进的想法。改进的关键措施是降低硬膜外镇痛患者严重疼痛的百分比。
基线控制图说明了 293 名手术患者的几个过程和结果的记录变化率。平均视觉模拟疼痛评分(VNRS)为 4。当按外科医生、临床科室或术前经历过疼痛的患者对数据进行分层时,没有特殊原因的变化。57%的患者在手术后第一天出现低血压。随着项目继续进行质量改进干预,我们能够证明硬膜外镇痛的失败率显著降低。
统计过程控制是衡量和改进疼痛管理质量的有用工具。
统计过程控制方法的应用有可能在本地和全国范围内更深入地了解急性疼痛服务的变革过程和结果。我们已经能够制定出常规护理中的改进措施和基准,这导致了国家疼痛登记处的建立。