NORCET 3 - 2022 (Shift-1)
Community Health Nursing
Easy

In the evaluation of a screening test, what does the term 'sensitivity' correctly define?

Appeared in: NORCET 3 - 2022 (Shift-1)

Explanation

  • Sensitivity is defined as the ability of a screening test to correctly identify individuals who truly have the disease.
  • It is also known as the true-positive rate, as it measures the proportion of actual cases that are correctly flagged by the test.
  • The formula for sensitivity is: (True Positives) / (True Positives + False Negatives).
  • A test with high sensitivity is important for diseases where missing a case (a false negative) has serious consequences.

Why Other Options Were Wrong

  • Option A: This statement defines specificity, not sensitivity. Specificity measures the ability of a test to correctly identify individuals who do not have the disease (true negatives).
  • Option C: This statement defines the Positive Predictive Value (PPV). PPV is the probability that a person who tests positive for a disease actually has the disease.
  • Option D: This statement defines the yield of a screening program. Yield refers to the number of new, previously undiagnosed cases that are discovered as a result of the screening.

Related Visual

2x2 Contingency Table - A table showing the relationship between test results Positive/Negative and actual disease status Disease Present/Absent. This visual helps to clearl...
Clinical Relevance
  • Nursing practice connection: This is primarily an exam-oriented knowledge point with limited direct bedside application, so retain Definition and evaluation of screening tests, specifically 'sensitivity' as background academic context rather than a clinical decision trigger.
  • In clinical practice, the choice between a highly sensitive or highly specific test depends on the disease. For serious but treatable conditions (e.g., HIV, certain cancers), a high-sensitivity test is crucial to avoid missing any cases.
  • A highly sensitive test is often used for initial screening, while a highly specific test is used for confirmation of a positive result to rule out false positives.
  • What if? If you were screening blood donations for a transmissible virus, you would prioritize a test with the highest possible sensitivity. This is to ensure that no contaminated blood units are missed (minimizing false negatives), even if it means some safe units are discarded due to false-positive results.
How to Approach the Question
  • First, identify the key term in the question, which is 'sensitivity'.
  • Recall the fundamental definitions used to evaluate diagnostic and screening tests.
  • Remember that 'sensitivity' is about the test's ability to detect the disease when it is present (S-N-out: a highly SeNsitive test, when Negative, rules OUT disease, meaning it's good at finding positives).
  • Differentiate this from 'specificity', which is about correctly identifying those who are healthy (S-P-in: a highly SPecific test, when Positive, rules IN disease).
  • Evaluate each option against the correct definition of sensitivity.
  • Eliminate the options that define other concepts like specificity, positive predictive value (PPV), or yield.
Concept Tested & Keywords
  • Concept Tested: Definition and evaluation of screening tests, specifically 'sensitivity'.
  • Stem keywords: screening test, evaluation, sensitivity
  • Lead-in keywords: correctly define
  • Negative lead-in flag: false

Question ID

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Reference Book

E6 Medicine Harrison 22e Part 1 p. 555-557

E6 Parks TextBook of Preventive & Social Medicine part 1 — Subpart A (pp 26-201 of 604) p. 140-142

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