Age-related cognitive bias in in-hospital cardiac arrest

Mathias J Holmberg1, Asger Granfeldt2, Ari Moskowitz3

  • 1Research Center for Emergency Medicine, Department of Clinical Medicine, Aarhus University and Aarhus University Hospital, Aarhus, Denmark; Center for Resuscitation Science, Department of Emergency Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA; Department of Cardiology, Viborg Regional Hospital, Viborg, Denmark.

Resuscitation
|February 14, 2021
PubMed

Insights

This study found no evidence that left-digit bias in patient age affects outcomes for in-hospital cardiac arrest. Survival rates remained consistent across age thresholds, indicating cognitive bias did not impact clinical decisions in this setting.

Area of Science:

  • Medical Error and Patient Safety
  • Cardiology and Critical Care Medicine
  • Cognitive Psychology in Healthcare

Background:

  • Cognitive bias can influence clinical decision-making and potentially lead to medical errors.
  • Left-digit bias, a specific cognitive bias, involves overemphasizing the leftmost digit of a number, potentially affecting clinical judgment.
  • Understanding the impact of cognitive bias on patient outcomes is crucial for improving healthcare quality.

Purpose of the Study:

  • To investigate the influence of left-digit bias, specifically related to patient age, on outcomes following in-hospital cardiac arrest.
  • To determine if age thresholds (e.g., 80 years) show a sudden change in survival rates, suggesting cognitive bias in clinical assessment.
  • To analyze the association between cognitive bias and patient survival, return of spontaneous circulation, neurological outcome, and resuscitation duration.

Main Methods:

  • Utilized the Get With The Guidelines® - Resuscitation registry, including adult patients with in-hospital cardiac arrest from 2011 to 2019.
  • Employed a regression discontinuity design to assess survival changes around specific age thresholds (60, 70, 80, and 90 years).
  • Primary outcome was survival to hospital discharge; secondary outcomes included return of spontaneous circulation, neurological outcome, and resuscitation duration.

Main Results:

  • A total of 26,784 patients were analyzed, with an overall survival rate of 22%.
  • No significant discontinuity in survival rates was observed below and above the age of 80 years (risk difference, 0.47%; 95% CI, -1.61% to 2.56%).
  • Similar findings were consistent across secondary outcomes and other age thresholds, confirmed by sensitivity analyses.

Conclusions:

  • The study found no evidence that cognitive bias related to patient age influences outcomes in patients experiencing in-hospital cardiac arrest.
  • Clinical decision-making regarding cardiac arrest management did not appear to be significantly affected by left-digit bias in this large patient cohort.
  • These findings suggest that age-related cognitive biases may not be a major confounder for patient outcomes in this specific critical care setting.
Abstract

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