A 21-year-old male college student scored 2 on the CAGE screening tool. What does this score indicate?
Further evaluation for alcohol use disorder is needed
A negative result that does not warrant further evaluation for alcohol use disorder
Mild alcohol use disorder
No problems with disordered alcohol use
The Correct Answer is A
Choice A reason: A score of 2 or more on the CAGE screening tool suggests clinically significant alcohol use and warrants further evaluation. The tool is designed to identify potential alcohol problems, and a score of 2 is the threshold for concern.
Choice B reason: A score of 0 or 1 is generally considered negative and may not require further evaluation unless other clinical signs are present. A score of 2 does not fall into this category.
Choice C reason: While a score of 2 may suggest mild alcohol use disorder, the CAGE tool itself does not diagnose severity. It is a screening instrument, and further assessment is needed to determine the level of disorder.
Choice D reason: This choice is incorrect because a score of 2 is not considered normal or indicative of no problems. It signals the need for further assessment.
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Naxlex Comprehensive Predictor Exams
Related Questions
Correct Answer is D
Explanation
Choice A reason: The Department of Health and Human Services oversees public health programs and agencies but does not directly provide financial incentives for rare disease drug development.
Choice B reason: The National Organization for Rare Disorders advocates for patients and supports research, but it is not a legislative body and does not enact financial incentive programs.
Choice C reason: The Food and Drug Administration regulates drug approval and safety. While it administers the Orphan Drug Act, it is not the source of the legislation itself.
Choice D reason: The Orphan Drug Act, passed in 1983, provides financial incentives such as tax credits, grant funding, and market exclusivity to encourage pharmaceutical companies to develop treatments for rare diseases affecting fewer than 200,000 people in the U.S.
Correct Answer is D
Explanation
Choice A reason: ANOVA is used to compare means across three or more groups to determine if there are statistically significant differences. It does not test the relationship between two variables but rather differences among group means.
Choice B reason: A t-test compares the means of two groups to determine if they are statistically different. It is useful for hypothesis testing but does not measure the strength or direction of a relationship between two continuous variables.
Choice C reason: The p-value indicates the probability that the observed results occurred by chance. It is a component of hypothesis testing but not a statistic that directly measures relationships between variables.
Choice D reason: Pearson’s r correlation coefficient measures the strength and direction of the linear relationship between two continuous variables. It ranges from -1 to +1 and is the most appropriate inferential statistic for testing relationships between two variables.
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