NAHQ Updated CPHQ Exam Questions and Answers by georgie

Detailed Explanation:

For a large population, a simple random sample of 400 charts would be sufficient to obtain representative data for statistical analysis:

Option B:Selection of 400 charts using a simple random sampling method

Simple random sampling ensures each patient has an equal chance of selection, providing unbiased and representative results while being more manageable than reviewing all 8,000 records.

Option A: Selection of patients who had a visit during the last month of the year

This could lead to biased results, as it would not be representative of visits throughout the year.

Option C: Selection of 800 patients using a snowball sampling method

Snowball sampling is typically used for hard-to-reach populations and is not appropriate for this scenario.

Option D: Selection of the entire population

Auditing all records would be time-consuming and unnecessary when a statistically valid sample can provide reliable results.

Explanation: A flow chart (D) best evaluates care processes and transitions by mapping workflows and identifying inefficiencies. Brainstorming (A), planning grids (B), and affinity diagrams (C) are less suited for process analysis. NAHQ emphasizes flow charts for process evaluation.

Explanation: When a physician challenges the reported number of healthcare-acquired infections (HAIs), the most effective way to demonstrate data validity is to provide transparency into the methodology used to identify and classify infections. NAHQ CPHQ study materials emphasize that standardized criteria, such as those from the CDC National Healthcare Safety Network (NHSN), are used to define HAIs. Sharing the criteria used to classify infections (B) addresses concerns about accuracy and consistency. Options A, C, and D do not directly validate the infection counts.

The first step in quality improvement is to evaluate baseline data to understand the scope and root causes of the problem before designing interventions (The Joint Commission, Performance Improvement, 2024). Education and awareness are important but should be informed by data. Financial impact calculations are secondary to problem identification.