A public health nurse is educating a newly licensed nurse about sensitivity and specificity using a two-by-two table. Which of the following statements by the newly licensed nurse indicates an understanding of the table related to true positives?
"True positives are represented in the table cell that indicates the person does not have the disease and the test indicates disease."
"True positives are represented in the table cell that indicates the person has the disease and the test indicates the person has the disease."
"True positives are represented in the table cell that indicates the person has the disease and the test does not indicate disease."
"True positives are represented in the table cell that indicates the person does not have the disease and the test does not indicate disease."
The Correct Answer is B
Choice A: "True Positives are Represented in the Table Cell that Indicates the Person Does Not Have the Disease and the Test Indicates Disease."
This statement is incorrect. In a two-by-two table used to evaluate diagnostic tests, the cell representing true positives is where both the test result and the actual disease status are positive. This cell indicates that the test correctly identified individuals who have the disease. The statement here describes a false positive, where the test indicates disease, but the person does not actually have it.
Choice B: "True Positives are Represented in the Table Cell that Indicates the Person Has the Disease and the Test Indicates the Person Has the Disease."
This statement is correct. True positives are indeed represented in the cell where both the test result and the actual disease status are positive. This means the test has correctly identified individuals who have the disease. This cell is crucial for calculating the sensitivity of the test, which measures the proportion of actual positives correctly identified by the test.
Choice C: "True Positives are Represented in the Table Cell that Indicates the Person Has the Disease and the Test Does Not Indicate Disease."
This statement describes a false negative, where the person has the disease, but the test fails to detect it. This cell is used to calculate the test's sensitivity, but it does not represent true positives. False negatives are critical to understand because they indicate cases where the test missed the disease.
Choice D: "True Positives are Represented in the Table Cell that Indicates the Person Does Not Have the Disease and the Test Does Not Indicate Disease."
This statement describes true negatives, where the test correctly identifies individuals who do not have the disease. While true negatives are important for calculating the specificity of the test, they do not represent true positives. Specificity measures the proportion of actual negatives correctly identified by the test.
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Naxlex Comprehensive Predictor Exams
Related Questions
Correct Answer is C
Explanation
Choice A: Prevalence Rate
The prevalence rate measures the total number of cases of a disease or health condition in a population at a specific point in time or over a specified period. It is expressed as a proportion of the population. While useful for understanding the burden of disease, the prevalence rate does not provide information on the number of deaths, making it unsuitable for calculating mortality data.
Choice B: Case Fatality Rate
The case fatality rate (CFR) is the proportion of individuals diagnosed with a particular disease who die from that disease within a specified period. It is expressed as a percentage. While CFR provides insight into the severity of a disease, it does not give the overall number of deaths in a population, nor does it specify the age group affected.
Choice C: Age-Specific Mortality Rate
The age-specific mortality rate is the number of deaths in a specific age group per 100,000 population in that age group over a given period. This measure is ideal for calculating the number of deaths among school-age children, as it provides detailed mortality data specific to that age group. By using this rate, the nurse can accurately determine the mortality rate for school-age children in the county.
Choice D: Cause-Specific Mortality Rate
The cause-specific mortality rate is the number of deaths from a specific cause per 100,000 population in a given year. While this measure is useful for understanding the impact of specific diseases or conditions, it does not provide a comprehensive view of mortality across different age groups. Therefore, it is not the best choice for calculating the overall number of deaths among school-age children.
Correct Answer is A
Explanation
Choice A Reason:
"I have a false negative screening. I may miss the opportunity for early treatment." This statement accurately reflects the primary concern with a false negative result. A false negative occurs when a test incorrectly indicates that a person does not have a condition when they actually do. This can lead to a delay in diagnosis and treatment, potentially worsening the individual's health outcomes. Early treatment is often crucial for managing many conditions effectively, so missing this opportunity can have significant consequences.
Choice B Reason:
"I have a false negative screening. I may undergo unnecessary treatment." This statement is incorrect because a false negative result means the test failed to detect the condition, leading to no treatment when it is actually needed. Unnecessary treatment is more associated with a false positive result, where the test incorrectly indicates the presence of a condition.
Choice C Reason:
"I have a false negative screening. I likely need more extensive testing." While additional testing might eventually be necessary if symptoms persist or worsen, this statement does not directly address the immediate implication of a false negative result. The primary concern is the missed opportunity for early intervention, not the need for more testing.
Choice D Reason:
"I have a false negative screening. I may experience undue worry." This statement is also incorrect. A false negative result typically provides a false sense of security, leading the individual to believe they are healthy when they are not. Undue worry is more likely to result from a false positive, where the person is incorrectly told they have a condition.
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