Discrepancy in Reporting of Perioperative Complications: A Retrospective Observational Study

Nuno V Gomes1,2, Amar Polutak3, Christian Schindler4

  • 1Clinic for Anaesthesia, Intermediate Care, Prehospital Emergency Medicine and Pain Therapy, University Hospital Basel, Basel, Switzerland.

Annals of Surgery
|February 2, 2023
PubMed
Abstract

Insights

Retrospective health record review identified more perioperative complications than prospective cohort study data. This suggests prospective data collection may underreport adverse events, impacting patient outcome analysis.

Area of Science:

  • Medical research methodology
  • Surgical outcomes analysis
  • Patient safety

Background:

  • Perioperative adverse events significantly impact patient outcomes.
  • Incomplete reporting of these events is a common challenge in clinical studies.
  • Accurate data collection is crucial for reliable outcome assessment.

Purpose of the Study:

  • To evaluate discrepancies in perioperative complication reporting.
  • Compare prospective cohort data with retrospective health record review.
  • Determine potential biases in data collection methods for adverse events.

Main Methods:

  • Two physicians independently assessed complications using ClassIntra and Clavien-Dindo classifications.
  • Retrospective data extraction from health records was compared to prospective data.
  • Analysis included incidence rates and severity grading of complications in 320 patients.

Main Results:

  • Retrospective review revealed a higher incidence of both intraoperative (IRR 1.79) and postoperative complications (IRR 2.21).
  • Severity grading of complications also showed discrepancies between prospective and retrospective data.
  • High interrater agreement (ICC > 0.88) supported the reliability of retrospective assessment.

Conclusions:

  • Significant discrepancies exist between prospective and retrospective perioperative complication reporting.
  • Prospective data collection appears more prone to underreporting adverse events.
  • Findings highlight the need for robust data capture in clinical research to ensure accurate patient outcome evaluation.

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