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NR503 Exam 2 Actual Exam Style V1 | NR 503 Population Health, Epidemiology & Statistical Principles | Chamberlain

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NR503 Exam 2 Actual Exam Style V1 | NR 503 Population Health, Epidemiology & Statistical Principles | Chamberlain NR503 Exam 2 Actual Exam Style V1 | NR 503 Population Health, Epidemiology & Statistical Principles | Chamberlain

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NR503 Exam 2 Actual Exam Style V1 | NR
503 Population Health, Epidemiology &
Statistical Principles | Chamberlain
1. A clinician is evaluating a new diagnostic test for early-stage Lyme disease. If the test has

high sensitivity, what does this primarily indicate about the test results?

A. The test is very good at identifying those who truly do not have the disease.


B. The test results are highly reproducible and consistent over multiple trials.


C. The test has a high probability of yielding a positive result when the person is healthy.


D. The test will yield very few false negative results among diseased individuals.


Answer: D


Rationale: Sensitivity refers to the proportion of people with the disease who test positive.

A highly sensitive test minimizes false negatives, making it an excellent tool for screening

to ensure no cases are missed. This property is essential when the goal is to identify as

many affected individuals as possible for early intervention.


2. In a study assessing the impact of a new antihypertensive medication, researchers noticed

that the control group was significantly younger than the treatment group. This represents

which epidemiological concept?

A. Information Bias


B. Recall Bias

,C. Confounding


D. Reliability


Answer: C


Rationale: Confounding occurs when an extraneous variable, such as age, is associated

with both the exposure and the outcome. In this scenario, age could independently affect

blood pressure levels, making it difficult to isolate the true effect of the medication.

Researchers must use methods like randomization or stratification to control for these

variables.


3. A public health nurse is reviewing the prevalence of Type 2 Diabetes in a specific county.

How is prevalence fundamentally different from incidence?

A. Prevalence measures the number of new cases, while incidence measures existing cases.


B. Incidence measures the number of new cases over time, while prevalence measures all

existing cases at a point in time.


C. Prevalence is used for infectious diseases, while incidence is only used for chronic

diseases.


D. Incidence is a ratio, whereas prevalence is always a whole number count.


Answer: B


Rationale: Prevalence provides a snapshot of the total disease burden in a population at a

specific time, including both old and new cases. Incidence specifically tracks the rate at

which new cases develop within a susceptible population over a defined period.

,Understanding the difference is vital for resource allocation and evaluating the

effectiveness of prevention programs.


4. When a screening test’s cutoff point is adjusted to increase sensitivity, what usually

happens to the specificity of that test?

A. Specificity will increase proportionally.


B. Specificity will remain unchanged.


C. Specificity will become zero.


D. Specificity will decrease.


Answer: D


Rationale: Sensitivity and specificity often have an inverse relationship when adjusting

cutoff values for continuous data. By lowering the threshold to capture more true positives

(increasing sensitivity), the test is also more likely to capture healthy individuals as

positives. This result leads to an increase in false positives, thereby lowering the specificity

of the test.


5. A researcher conducts a case-control study to examine the link between lung cancer and

radon exposure. What is the primary measure of association used in this study design?

A. Relative Risk (RR)


B. Incidence Density


C. Odds Ratio (OR)

, D. Attributable Risk


Answer: C


Rationale: The Odds Ratio is the standard measure used in case-control studies because

the incidence of disease cannot be directly calculated. It compares the odds of exposure

among those with the disease to the odds of exposure among those without the disease.

This provides an estimate of the strength of the association between the risk factor and the

outcome.


6. Which level of prevention is exemplified by a patient receiving cardiac rehabilitation after

suffering a myocardial infarction?

A. Tertiary Prevention


B. Secondary Prevention


C. Primary Prevention


D. Primordial Prevention


Answer: A


Rationale: Tertiary prevention focuses on managing disease post-diagnosis to slow or stop

disease progression and prevent complications. Cardiac rehabilitation helps patients regain

function and reduce the risk of subsequent events after the initial damage has occurred. It

differs from secondary prevention, which focuses on early detection and screening.

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Subido en
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