BMJ Open Quality (Jan 2024)

Use of statistical process control in quality improvement projects in abdominal surgery: a PRISMA systematic review

  • Rob Bethune,
  • Andrew Salmon,
  • Yara Lima de Mendonca,
  • Rubiana Sarto,
  • Hannes Titeca

DOI
https://doi.org/10.1136/bmjoq-2023-002328
Journal volume & issue
Vol. 13, no. 1

Abstract

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Background The use of quality improvement methodology has increased in recent years due to a perceived benefit in effectively reducing morbidity, mortality and length of stay. Statistical process control (SPC) is an important tool to evaluate these actions, but its use has been limited in abdominal surgery. Previous systematic reviews have examined the use of SPC in healthcare, but relatively few surgery-related articles were found at that time.Objective To perform a systematic review (SR) to evaluate the application of SPC on abdominal surgery specialties between 2004 and 2019.Methods An SR following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses flow diagram was completed using Embase and Ovid Medline with terms related to abdominal surgery and SPC.Results A total of 20 articles were selected after applying the exclusion criteria. Most of the articles came from North America, Europe and Australia, and half have been published in the last 5 years. The most common outcome studied was surgical complications. Urology, colorectal and paediatric surgery made up most of the articles. Articles show the application of SPC in various outcomes and the use of different types of graphs, demonstrating flexibility in using SPC. However, some studies did not use SPC in a robust way and these studies were of variable quality.Conclusion This study shows that SPCs are being applied increasingly for most surgical specialties; however, it is still less used than in other fields, such as anaesthesia. We identified conceptual errors in several studies, such as issues with the design or incorrect data analysis. SPCs can be used to increase the quality of surgical care; the use should increase, but critically, the analysis needs to improve to prevent erroneous conclusions being drawn.