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How medical professionals evaluate expressions of probability
The New England Journal of Medicine
|September 18, 1986
Summary
Qualitative probability expressions like "likely" vary in meaning. This study found agreement among medical professionals on numerical values, suggesting potential for clearer medical communication.
Area of Science:
- Medical Communication
- Clinical Decision Making
- Health Informatics
Background:
- Qualitative probability expressions (e.g., "likely") have subjective numerical interpretations.
- This ambiguity can cause misunderstandings between healthcare providers and patients.
- Standardizing these terms is crucial for effective medical discourse.
Purpose of the Study:
- To investigate the quantitative meaning of common qualitative probability expressions used in medicine.
- To assess the degree of agreement on these meanings among different medical professional groups.
- To explore the potential for codifying these expressions to improve communication.
Main Methods:
- A nationwide interactive computer network was utilized for data collection.
- Three groups of medical professionals (physicians, medical students, other professionals) assigned percentage values to 12 probability expressions.
- Data were analyzed to determine median and mean values and compare them across groups and with previous studies.
Main Results:
- Median percentage values assigned to expressions were consistent across physicians, medical students, and other professionals.
- Quantification of 7 expressions showed similar ordering compared to an earlier study, despite different numerical values.
- Significant variation exists across multiple studies and individual opinions, highlighting the need for standardization.
Conclusions:
- There is a notable degree of agreement among medical professionals regarding the quantitative meaning of qualitative probability expressions.
- The findings support the feasibility of codifying these expressions to enhance clarity.
- The presented average numerical values can be immediately applied to improve communication in healthcare settings.