Control chart methods for monitoring surgical performance: A case study from gastro-oesophageal surgery

Abstract Graphical methods are becoming increasingly used to monitor adverse outcomes from surgical interventions. However, uptake of such methods has largely been in the area of cardiothoracic surgery or in transplants with relatively little impact made in surgical oncology. A number of the more co...

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Bibliographic Details
Published in:European journal of surgical oncology 2011-06, Vol.37 (6), p.473-480
Main Authors: Collins, G.S, Jibawi, A, McCulloch, P
Format: Article
Language:English
Subjects:
Adult
Aged
Control charts
Cross-Sectional Studies
CUSUM
Diagnosis-Related Groups
Esophageal Neoplasms - surgery
Esophagectomy - adverse effects
Esophagectomy - mortality
Esophagectomy - standards
Female
Gastrectomy - adverse effects
Gastrectomy - mortality
Gastrectomy - standards
Gastro-oesophageal cancer
Hematology, Oncology and Palliative Medicine
Hospital Mortality
Humans
Logistic Models
Male
Medical Oncology - manpower
Medical Oncology - standards
Medical Oncology - statistics & numerical data
Medical Oncology - trends
Medical Records
Middle Aged
Models, Statistical
Monitoring
Outcome and Process Assessment (Health Care) - methods
Quality Assurance, Health Care - standards
Quality Assurance, Health Care - trends
Quality Improvement
Quality Indicators, Health Care
Risk Adjustment
Stomach Neoplasms - surgery
Surgery
Surgical performance
United Kingdom
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Description
Summary:Abstract Graphical methods are becoming increasingly used to monitor adverse outcomes from surgical interventions. However, uptake of such methods has largely been in the area of cardiothoracic surgery or in transplants with relatively little impact made in surgical oncology. A number of the more commonly used graphical methods including the Cumulative Mortality plot, Variable Life-Adjusted Display, Cumulative Sum (CUSUM) and funnel plots will be described. Accounting for heterogeneity in case-mix will be discussed and how ignoring case-mix can have considerable consequences. All methods will be illustrated using data from the Scottish Audit of Gastro-Oesophageal Cancer services (SAGOCS) data set.
ISSN:0748-7983
1532-2157
DOI:10.1016/j.ejso.2010.10.008