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The Kaplan-Meier estimator is a non-parametric method used to estimate the survival function from time-to-event data. In medical research, it is frequently employed to measure the proportion of patients surviving for a certain period after treatment. This estimator is fundamental in analyzing time-to-event data, making it indispensable in clinical trials, epidemiological studies, and reliability engineering. By estimating survival probabilities, researchers can evaluate treatment effectiveness,...

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Three-dimensional Location Approach with Silk Thread Guided Laparoscopic Segmentectomy for Liver Tumor
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Funnel plots and their emerging application in surgery.

Erik K Mayer1, Alex Bottle, Christopher Rao

  • 1Department of Biosurgery and Surgical Technology, Section of Surgical Quality and Epidemiology, Imperial College London, 10th Floor QEQM building, St Mary's Hospital, London, United Kingdom. e.mayer@imperial.ac.uk

Annals of Surgery
|February 28, 2009
PubMed
Summary

Funnel plots offer a practical method for surgeons to assess surgical quality and performance. Their use enhances transparency and helps overcome limitations in evaluating healthcare outcomes.

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Area of Science:

  • Healthcare Quality Improvement
  • Surgical Performance Monitoring
  • Biostatistics in Medicine

Background:

  • Surgical outcomes are critical for healthcare quality assessment.
  • Funnel plots are graphical tools increasingly used in healthcare for quality control.
  • Traditional surgical performance ranking has limitations that funnel plots can address.

Purpose of the Study:

  • To introduce surgeons to funnel plots as a quality assessment tool.
  • To explore the application, advantages, and limitations of funnel plots in surgery.
  • To highlight the role of funnel plots in improving surgical quality and transparency.

Main Methods:

  • Methodological review of funnel plot principles and applications in surgery.
  • Analysis of advantages, limitations, and public health implications.
  • Assessment of funnel plots for evaluating literature evidence and future use.

Main Results:

  • Funnel plots provide statistically defined control limits for measurable surgical outcomes.
  • They are practical tools for monitoring surgical performance at various levels (surgeon, institution, national).
  • Funnel plots facilitate transparency in healthcare outcomes and performance data.

Conclusions:

  • Widespread adoption of funnel plots can improve surgical performance assessment and reporting.
  • Funnel plots aid in identifying evidence-based information in surgical literature.
  • Further development of funnel plot methodology may influence future healthcare delivery.