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FRAMING EFFECTS ON PHYSICIANS' JUDGMENT AND DECISION MAKING.

Thanh C Bui1, Heather A Krieger2, Jennifer S Blumenthal-Barby2

  • 11 Department of Behavioral Science, The University of Texas M. D. Anderson Cancer Center, Houston, Texas.

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Summary
This summary is machine-generated.

Physicians’ clinical judgment is susceptible to how medical information is framed. Framing probabilities as frequencies versus percentages, and mortality versus survival rates, significantly altered doctors' patient care recommendations.

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Area of Science:

  • Medical Decision Making
  • Cognitive Psychology
  • Clinical Judgment

Background:

  • Physicians' decisions significantly impact patient outcomes.
  • Cognitive biases, such as framing effects, can influence clinical judgment.
  • Understanding these biases is crucial for improving medical decision-making.

Purpose of the Study:

  • To evaluate the susceptibility of general internists to framing effects in clinical judgment.
  • To determine how different information framings (e.g., frequency vs. percentage, mortality vs. survival) affect physician recommendations.
  • To assess the influence of cost and patient gender on these framing effects.

Main Methods:

  • Online survey administered to 159 general internists in the United States.
  • Participants were randomized into groups exposed to clinical scenarios with varied information framings.
  • Key framing variations included probability presentation (frequency vs. percentage) and outcome framing (mortality vs. survival).

Main Results:

  • Physician recommendations significantly differed based on probability framing (frequency vs. percentage).
  • Outcome framing (mortality vs. survival rates) also significantly impacted physician recommendations.
  • Framing effects related to cost information and patient gender did not significantly alter recommendations.

Conclusions:

  • Physicians' clinical judgment is demonstrably influenced by how outcome probabilities are framed.
  • The presentation format of statistical information (frequency/percentage, mortality/survival) is a critical factor in medical decision-making.
  • Further research should explore interventions to mitigate framing effects in clinical practice.