**Core Concept**
When dealing with a small group of patients, easily available, researchers often face the challenge of making the most out of limited data. In such situations, the sampling method should prioritize efficiency and data quality.

**Why the Correct Answer is Right**
The correct answer is **Convenience Sampling**. This type of sampling involves selecting participants from the population who are easily accessible and available. It is particularly useful when the population is small or hard to reach. Convenience sampling relies on the researcher's ability to select participants who are readily available, such as patients attending a specific clinic or hospital. This method is not as rigorous as other sampling methods but can provide valuable insights, especially when time and resources are limited.

**Why Each Wrong Option is Incorrect**
**Option A:** **Random Sampling** is incorrect because it involves selecting participants randomly from the population, which may not be feasible or practical when dealing with a small group of patients.

**Option B:** **Stratified Sampling** is incorrect because it involves dividing the population into subgroups and selecting participants from each subgroup, which may not be necessary or practical for a small group of patients.

**Option C:** **Systematic Sampling** is incorrect because it involves selecting participants at regular intervals from the population, which may not be feasible or practical when dealing with a small group of patients.

**Clinical Pearl / High-Yield Fact**
Convenience sampling should be used judiciously, and researchers should be aware of its limitations. It is essential to consider the potential biases and limitations of convenience sampling, such as selection bias and lack of generalizability to the larger population.

**Correct Answer:** . Consecutive Sampling.