IDEAS home Printed from https://ideas.repec.org/a/wly/jocnur/v22y2013i19-20p2748-2757.html
   My bibliography  Save this article

Measuring and improving the quality of postoperative epidural analgesia for major abdominal surgery using statistical process control charts

Author

Listed:
  • Fiona Duncan
  • Carol Haigh

Abstract

Aims and objectives To explore and improve the quality of continuous epidural analgesia for pain relief using Statistical Process Control tools. Background 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. Design Process control and quality improvement Methods 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. Results 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. Conclusion 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.

Suggested Citation

  • Fiona Duncan & Carol Haigh, 2013. "Measuring and improving the quality of postoperative epidural analgesia for major abdominal surgery using statistical process control charts," Journal of Clinical Nursing, John Wiley & Sons, vol. 22(19-20), pages 2748-2757, October.
  • Handle: RePEc:wly:jocnur:v:22:y:2013:i:19-20:p:2748-2757
    DOI: 10.1111/jocn.12116
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jocn.12116
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jocn.12116?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wly:jocnur:v:22:y:2013:i:19-20:p:2748-2757. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://doi.org/10.1111/(ISSN)1365-2702 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.