The reliability of medical record review for estimating adverse event rates

Eric J Thomas1, Stuart R Lipsitz, David M Studdert

  • 1Brigham and Women's Hospital and Harvard School of Public Health, Harvard University, Boston, Massachusetts 02115, USA.

Abstract

Insights

Medical record review reliability for detecting adverse events is sensitive to reviewer agreement and confidence. Estimates of medical error rates, like those from the Institute of Medicine, vary significantly based on these factors.

Area of Science:

  • Healthcare Quality and Safety
  • Medical Informatics
  • Patient Safety Research

Background:

  • The U.S. Institute of Medicine (IOM) utilized nurse and physician reviews of medical records to estimate deaths from medical errors.
  • This method relies on the accuracy and consistency of subjective reviews to identify errors within patient records.

Purpose of the Study:

  • To quantify the reliability of medical record review processes for identifying adverse events.
  • To assess the dependability of detecting specifically negligent adverse events through record review.

Main Methods:

  • The study employed a medical record review design.
  • Data were sourced from hospitalizations in Utah and Colorado during 1992.
  • Five hundred medical records underwent three independent reviews to measure reliability and the impact of reviewer confidence and agreement criteria.

Main Results:

  • Kappa statistics for agreement on adverse events ranged from 0.40 to 0.41, indicating moderate reliability.
  • Agreement on negligent adverse events showed lower reliability, with kappa statistics from 0.19 to 0.23.
  • Adverse event and negligent adverse event rates fluctuated considerably based on required reviewer consensus and confidence levels.

Conclusions:

  • Adverse event rate estimations derived from medical record reviews are highly susceptible to the level of reviewer consensus and confidence.
  • Findings suggest that previous estimates, including those by the IOM, may be influenced by reviewer agreement variability.

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