Editorial Views  |   December 2016
Do Not Use Hierarchical Logistic Regression Models with Low-incidence Outcome Data to Compare Anesthesiologists in Your Department
Author Notes
  • From the Division of Management Consulting (F.D.), Department of Anesthesia (F.D., B.J.H.), University of Iowa, Iowa City, Iowa.
  • Accepted for publication May 27, 2016.
    Accepted for publication May 27, 2016.×
  • Corresponding article on page 1092.
    Corresponding article on page 1092.×
  • Address correspondence to Dr. Dexter: franklin-dexter@uiowa.edu
Article Information
Editorial Views / Gastrointestinal and Hepatic Systems / Pain Medicine / Quality Improvement
Editorial Views   |   December 2016
Do Not Use Hierarchical Logistic Regression Models with Low-incidence Outcome Data to Compare Anesthesiologists in Your Department
Anesthesiology 12 2016, Vol.125, 1083-1084. doi:10.1097/ALN.0000000000001363
Anesthesiology 12 2016, Vol.125, 1083-1084. doi:10.1097/ALN.0000000000001363
IN this issue of Anesthesiology, Glance et al.1  compare statistical methods for risk-adjusted comparisons among providers (e.g., hospitals and anesthesiologists). They present their findings in the context of hospital versus “physician-based measures for Merit-Based Incentive Payment.”1  There are multiple reasons to evaluate the performance of hospitals and their anesthesia departments as single teams.2  Glance et al.1  summarize the policy options well. In this editorial, we consider the implications of the article for evaluating individual anesthesiologists.
Individuals are hired, are credentialed by hospitals, and are promoted. Consequently, reasonably, there are multiple requirements from accreditation agencies (e.g., The Joint Commission, Oak Brook, Illinois) and corporations (e.g., universities) to evaluate individual anesthesiologists’ clinical performance.
First Page Preview
First page PDF preview
First page PDF preview ×
View Large