Statistical Process Control as a Tool for Monitoring Nonoperative Time
Open Access
- 1 August 2006
- journal article
- research article
- Published by Ovid Technologies (Wolters Kluwer Health) in Anesthesiology
- Vol. 105 (2), 370-380
- https://doi.org/10.1097/00000542-200608000-00021
Abstract
Background Administrators need simple tools to quickly identify even small changes in the performance of perioperative systems. This applies both to established systems and to impact assessments of deliberate perioperative system design changes. Methods Statistical process control was originally developed to detect nonrandom variation in manufacturing processes by continuous comparison to previous performance. The authors applied the technique to assess the nonoperative time performance between successive cases for same surgeon following themselves in a redesigned operating room. This operating room specifically implemented a new patient care pathway that improves throughput by reducing the nonoperative time. The authors tested how quickly statistical process control detected reductions in nonoperative time. They also tested the ability of statistical process control to detect successively smaller performance changes and investigated its utility for longitudinal process monitoring. Results Statistical process control detected a clear reduction in nonoperative time after the new operating room had been used for only 2 days. The method could detect nonoperative time changes of between 5 and 10 min per case for a single operating room within one fiscal quarter. Nonoperative time for the new process was globally stable over the 31 months analyzed, but late in the analysis period, the authors detected small performance decrements, mostly attributable to factors external to the new operating room. Conclusions Statistical process control is useful for detecting changes in perioperative system performance, represented in this study by nonoperative time. The technique is able to detect changes quickly and to detect small changes over time.Keywords
This publication has 11 references indexed in Scilit:
- Deliberate Perioperative Systems Design Improves Operating Room ThroughputAnesthesiology, 2005
- Estimating the Incidence of Prolonged Turnover Times and Delays by Time of DayAnesthesiology, 2005
- Decreasing Turnaround Time Between General Surgery CasesJona: the Journal of Nursing Administration, 2004
- Statistical process control as a tool for research and healthcare improvementQuality and Safety in Health Care, 2003
- Les méthodes de contrôle statistique du processus permettent d’analyser et d’améliorer les soins anesthésiquesCanadian Journal of Anesthesia/Journal canadien d'anesthésie, 2003
- Process Analysis in Outpatient Knee SurgeryAnesthesiology, 2000
- Modeling the Uncertainty of Surgical Procedure TimesAnesthesiology, 2000
- Setting Performance Standards for an Anesthesia DepartmentJournal of Clinical Anesthesia, 1998
- Defining Quality of Perioperative Care by Statistical Process Control of Adverse Outcomes Anesthesiology, 1995
- The Effect of Non-Normality on the Control Limits of X̄ ChartsJournal of Quality Technology, 1976