Without specific data, the question implies the quality professional has reviewed performance metrics (e.g., readmissions, length of stay) and must determine the next action. In CPHQ practice, reviewing data typically leads to investigating why performance deviates from goals.
Option A (Develop a discharge planning program): Developing a program assumes a specific issue (e.g., poor discharge planning), premature without cause analysis.
Option B (Create dashboard to monitor for trends): A dashboard tracks data but is not the next step after reviewing data, as analysis is needed first.
Option C (Explore underlying causes): This is the correct answer. The NAHQ CPHQ study guide states, “After reviewing performance data, the next step is to explore underlying causes using tools like root cause analysis to identify why metrics are off-target” (Domain 2). This applies broadly to any data review.
Option D (Perform a literature review): Literature reviews inform solutions but follow cause identification.
CPHQ Objective Reference: Domain 2: Health Data Analytics, Objective 2.5, “Analyze data to identify causes,” emphasizes cause exploration post-review. The NAHQ study guide notes, “Cause analysis follows data review to drive improvement” (Domain 2).
Rationale: Exploring causes is the logical next step after data review, aligning with CPHQ’s analytics principles.
[Reference: NAHQ CPHQ Study Guide, Domain 2: Health Data Analytics, Objective 2.5., , , ]
