NAHQ Updated CPHQ Exam Questions and Answers by leona

Population health management (PHM) focuses on improving outcomes for defined populations by leveraging data to target interventions effectively.

Option A (Identify high-risk low-volume processes): This is more relevant to process improvement, not PHM, which prioritizes patient-level risks.

Option B (Determine the voice of the customer): Voice of the customer (e.g., patient surveys) informs satisfaction, not the core of PHM, which is risk stratification.

Option C (Determine high cost procedures): While cost analysis is part of PHM, it is secondary to identifying patient needs and risks.

Option D (Identify high-risk patients): This is the correct answer. The NAHQ CPHQ study guide states, “Population health management uses data to identify high-risk patients (e.g., those with chronic conditions or frequent admissions) for targeted interventions” (Domain 5). This aligns with PHM’s goal of improving outcomes through risk stratification.

CPHQ Objective Reference: Domain 5: Population Health and Care Transitions, Objective 5.1, “Use data to support population health management,” emphasizes identifying high-risk patients. The NAHQ study guide notes, “Data analytics in PHM focuses on stratifying patients by risk to prioritize care” (Domain 5).

Rationale: Identifying high-risk patients is the cornerstone of PHM, enabling targeted interventions to improve outcomes, as per CPHQ’s population health principles.

Addressing the increased incidence of type 2 diabetes through the lens of social determinants of health involves addressing broader factors that impact health. Collaborating with local farmers'markets to make fresh produce more widely available is a strategy that addresses the social determinants of health by improving access to healthy food options. This approach can help reduce the risk of diabetes by making it easier for community members to make healthy dietary choices, thereby addressing one of the root causes of the increased diabetes incidence.

Educate newly diagnosed patients on diabetes disease management (A): While important, this strategy focuses on managing diabetes after it occurs rather than addressing the social determinants that contribute to its onset.

Set up a community-based education program about blood glucose monitoring (B): This is also important for management but does not directly address the social determinants that lead to the higher incidence.

Review evidence-based diabetes management protocols with primary care providers (C): This improves care quality but does not address the social factors contributing to the disease.

References

NAHQ Body of Knowledge: Addressing Social Determinants of Health in Quality Improvement

NAHQ CPHQ Exam Preparation Materials: Strategies for Managing Social Determinants of Health

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When comparing the productivity of a department with similar departments at other facilities, the first step is to determine which processes will be evaluated1. This involves identifying the key processes that contribute to the department’s productivity and are comparable across different facilities1. Once these processes are identified, they can be measured and compared to similar processes at other facilities1. This comparison can provide valuable insights into areas where the department is performing well and where there may be opportunities for improvement1.

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.