Reliability of surgeon-specific reporting of complications after colectomy

Terry Shih1, Adam I Cole, Paul M Al-Attar

  • 1*Department of Surgery, Academic Surgeon Development Program †Michigan Surgery Quality Collaborative, University of Michigan, Ann Arbor, MI.

Annals of Surgery
|April 7, 2015
PubMed
Abstract

Insights

Most surgeons lack sufficient colectomy volume for reliable complication rate assessment. Statistical noise significantly impacts performance metrics for low-volume surgeons, necessitating cautious interpretation of quality measures.

Area of Science:

  • Surgical Quality Measurement
  • Health Services Research
  • Statistical Modeling in Healthcare

Background:

  • Surgeon-specific performance metrics often overlook statistical noise, potentially leading to inaccurate quality assessments.
  • Reliable evaluation of surgical quality requires accounting for random variation in outcomes.

Purpose of the Study:

  • To assess the reliability of surgeon-specific postoperative complication rates following colectomy.
  • To determine the impact of statistical noise on surgeon performance metrics.

Main Methods:

  • Analysis of 5033 colectomy patients (2008-2010) from the Michigan Surgical Quality Collaborative Colectomy Project.
  • Risk-adjusted complication rates calculated using logistic regression and hierarchical modeling.
  • Reliability adjustment applied to surgeon-specific rates to quantify true signal versus noise.

Main Results:

  • 86% of variability in complication rates was attributed to measurement noise, with only 14% representing true surgeon performance.
  • Reliability adjustment significantly reduced the observed variation in complication rates across surgeons.
  • A minimum caseload of 168 colectomies over 3 years was needed for a reliable outcome measure (reliability > 0.7), a threshold surpassed by only one surgeon.

Conclusions:

  • The majority of surgeons do not perform enough colectomies to establish a dependable surgeon-specific complication rate.
  • Risk-adjusted complication rates for low-volume surgeons should be interpreted with caution due to the substantial influence of statistical noise.