NAHQ Updated CPHQ Exam Questions and Answers by rayaan

A Quality Council oversees an organization’s quality improvement efforts, requiring a clear framework to guide its work effectively.

Option A (Standardized formats for reporting and minutes): Standardized formats aid documentation but are not essential for the council’s core function.

Option B (An annual meeting calendar with attendance expectations): Scheduling and attendance are logistical, not the foundation of effectiveness.

Option C (Written job descriptions for members of the group): Job descriptions clarify roles but are secondary to a strategic framework.

Option D (A defined quality improvement structure and plan): This is the correct answer. The NAHQ CPHQ study guide states, “A Quality Council requires a defined quality improvement structure and plan to guide its oversight, prioritize initiatives, and align with organizational goals” (Domain 3). This ensures focus and impact.

CPHQ Objective Reference: Domain 3: Organizational Leadership, Objective 3.1, “Establish governance structures for quality,” emphasizes a defined QI plan. The NAHQ study guide notes, “A clear QI structure is essential for a Quality Council to drive improvement” (Domain 3).

Rationale: A defined QI structure and plan provide direction, making it essential for the council’s effectiveness, as per CPHQ’s leadership principles.

A surgeon’s elevated surgical site infection (SSI) rate (6.7% vs. 3.3% average) indicates a performance gap requiring targeted investigation.

Option A (Suspension of the surgeon): Suspension is punitive and premature without understanding the cause of the high rate.

Option B (A performance improvement project): A project may address systemic SSI issues but is too broad for an individual surgeon’s performance.

Option C (A focused review): This is the correct answer. The NAHQ CPHQ study guide states, “A focused review investigates an individual provider’s performance when data indicates a significant deviation, such as an elevated SSI rate” (Domain 4). It examines factors like technique or compliance.

Option D (A root cause analysis): RCA is used for specific incidents, not ongoing performance trends.

CPHQ Objective Reference: Domain 4: Performance and Process Improvement, Objective 4.6, “Evaluate provider performance,” emphasizes focused reviews for outliers. The NAHQ study guide notes, “Focused reviews target individual performance issues” (Domain 4).

Rationale: A focused review investigates the surgeon’s specific practices, aligning with CPHQ’s improvement principles.

 The P Chart of Hand Hygiene: Compliance before Pt. Contact is divided into Report Time A and Report Time B. The chart plots proportion on the Y-axis ranging from 0.3 to 1, and dates from 2019 January to 2020 November on the X-axis. There are three horizontal lines indicating UCL = 0.9677, P = 0.7517, and LCL = 0.9677. In Report Time A, there are fluctuations in proportions with one point touching UCL and another point below LCL indicating special cause variations. In Report Time B, all data points are between UCL and LCL with less fluctuation compared to Report Time A. The red line indicates tests performed with unequal sample sizes.

Reducing Medicare readmissions is a key focus in population health, as readmissions impact patient outcomes and hospital reimbursement under programs like the Hospital Readmissions Reduction Program (HRRP). Factors driving readmissions often include inadequate discharge planning, lack of follow-up care, social determinants of health (e.g., transportation, support systems), and patient-specific risks (e.g., comorbidities). NAHQ CPHQ study materials emphasize a systematic, data-driven approach to quality improvement, particularly for complex issues like readmissions.

Since the specific Medicare readmission findings are not provided, I’ll base the answer on CPHQ best practices. The first step in addressing readmissions should always be to analyze data to determine the best approach for readmission reduction (D). This involves reviewing the readmission findings to identify patterns, such as high-risk patient groups, common diagnoses (e.g., heart failure, pneumonia), or process failures (e.g., medication reconciliation issues). Data analysis helps pinpoint root causes and informs targeted interventions, ensuring resources are used effectively. For example, if data show readmissions are due to lack of follow-up care, then strategies like follow-up calls or visits can be prioritized. Without this analysis, interventions may be misdirected.

Instructing physicians to place patients in observation (A) may reduce reported readmissions by reclassifying stays, but this does not address underlying causes and could be seen as gaming the system, which is not aligned with quality improvement principles. Initiating post-discharge follow-up calls (B) or increasing follow-up visits (C) are potential interventions, but they assume specific causes (e.g., lack of follow-up) without evidence from the data. NAHQ emphasizes that quality improvement starts with understanding the problem through data analysis, making option D the first step.