In decision analysis, which parameter represents the threshold at which a physician is indifferent between treating without testing and testing before treating?

• A Prior probability of disease (pre-test probability)
• B The test threshold (below which no further testing or treatment is warranted)
• C The treatment threshold probability (above which treatment is warranted without testing) ✓
• D The testing threshold: the probability above which testing adds value over empirical treatment

Explanation

In the threshold model of clinical decision making (Pauker and Kassirer): below the testing threshold → do not test, do not treat; between testing and treatment thresholds → test to refine probability; above the treatment threshold → treat without testing. The treatment threshold is the disease probability above which the expected benefit of treatment outweighs the risk of treatment, regardless of test result. This framework integrates test sensitivity/specificity, treatment benefit/harm ratio, and pre-test probability into clinical decisions.

Reference: Park's Textbook of Preventive and Social Medicine, 27th ed.

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