You have probably had the experience of being screened many times (e.g., cholesterol test, glucose level...

You have probably had the experience of being screened many times (e.g., cholesterol test, glucose level test, blood pressure measurement). What is more important information from a PATIENT’s point of view (PPV/NPV vs. Sensitivity/Specificity), and what is more important information from a PHYSICIAN’s point of view (PPV/NPV vs. Sensitivity/Specificity)?

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If the sample sizes in the positive (Disease present) and the negative (Disease absent) groups do not reflect the real prevalence of the disease, then the Positive and Negative predicted values, and Accucary, cannot be estimated and we should ignore those values.

Alternatively, when the disease prevalence is known then the positive and negative predictive values can be calculated using the following formulas based on Bayes' theorem:

and

True negative - The negative consequences here are the needless costs and risks of the screening tests.

False negative - If these individuals have some assurance that they don't have disease, they may no longer seek health care or may disregard early symptoms. Their risks include:

Delayed intervention
Disregard of early signs or symptoms

gladiator answered 1 year ago

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You have probably had the experience of being screened many times (e.g., cholesterol test, glucose level...

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