Measuring and improving the quality of postoperative epidural analgesia for major abdominal surgery using statistical process control charts
Article first published online: 11 MAR 2013
© 2013 Blackwell Publishing Ltd
Journal of Clinical Nursing
Volume 22, Issue 19-20, pages 2748–2757, October 2013
How to Cite
Duncan, F. and Haigh, C. (2013), Measuring and improving the quality of postoperative epidural analgesia for major abdominal surgery using statistical process control charts. Journal of Clinical Nursing, 22: 2748–2757. doi: 10.1111/jocn.12116
- Issue published online: 5 SEP 2013
- Article first published online: 11 MAR 2013
- Manuscript Accepted: 2 OCT 2012
Aims and objectives
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.
Implications for nursing 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.