New Release CPHQ CPHQ Certification Questions

A comprehensive assessment allows healthcare providers to understand the full scope of an older adult's health, including medical, functional, and psychosocial aspects. This holistic approach is essential for effective population health management and tailoring interventions to individual needs.

The Study phase of the PDSA (Plan-Do-Study-Act) cycle involves analyzing data from the Do phase to evaluate the intervention’s impact and inform next steps.

Option A (Radar chart): Radar charts compare multiple variables, not suited for analyzing test results.

Option B (Control chart): This is the correct answer. The NAHQ CPHQ study guide states, “In the Study phase of PDSA, control charts analyze data to assess whether the intervention stabilized or improved the process” (Domain 4). They show variation and trends post-intervention.

Option C (Brainstorming): Brainstorming generates ideas, relevant in the Plan phase, not Study.

Option D (Affinity diagram): Affinity diagrams organize ideas, not analyze test data.

CPHQ Objective Reference: Domain 4: Performance and Process Improvement, Objective 4.3, “Apply PDSA methodology,” includes control charts in the Study phase. The NAHQ study guide notes, “Control charts evaluate intervention outcomes in PDSA” (Domain 4).

Rationale: Control charts analyze data in the Study phase, aligning with CPHQ’s improvement principles.

Explanation: Demonstrating that a medication error reduction team will improve patient safety (D) aligns with leadership’s focus on quality and risk reduction. Inadequate technology (A), past compliance (B), and new strategic goals (C) are less compelling. NAHQ prioritizes patient safety outcomes.

Understanding the sample size is crucial when interpreting statistical data. A 50% complication rate may seem alarming; however, if this rate is derived from a small sample, it may not be statistically significant or representative of the broader population. Larger sample sizes generally provide more reliable estimates of true complication rates. Therefore, knowing the sample size helps assess the validity and reliability of the data presented.