**Core Concept**
The **sensitivity** and **specificity** of a diagnostic test are fundamental concepts in clinical epidemiology, referring to the test's ability to correctly identify those with and without a particular disease, respectively. **Specificity** is the proportion of true negatives correctly identified by the test.

**Why the Correct Answer is Right**
When the **specificity** of a test increases, it means the test is better at correctly identifying those without the disease, reducing the number of **false positives**. This improvement in specificity can lead to a decrease in the number of unnecessary treatments or further tests, improving patient outcomes and reducing healthcare costs.

**Why Each Wrong Option is Incorrect**
**Option A:** Incorrect because an increase in specificity does not directly relate to an increase in sensitivity.
**Option B:** Incorrect as it's not provided, but generally, an increase in specificity would not be directly associated with this option without context.
**Option C:** Incorrect because the relationship between specificity and sensitivity is often inversely related, meaning an increase in one can lead to a decrease in the other.

**Clinical Pearl / High-Yield Fact**
A key point to remember is that **increased specificity** reduces **false positives**, which is crucial in diseases where the treatment has significant side effects or where a false diagnosis can lead to significant patient anxiety.

**Correct Answer:** Not provided, please fill in the correct answer choice and text to complete the explanation.