Free NAHQ CPHQ Practice Exam with Questions & Answers | Set: 11

The NAHQ CPHQ exam blueprint emphasizes that performance improvement goals should be realistic, evidence-based, and benchmark-informed, particularly at the start of an improvement initiative. When an organization’s performance is worse than the national benchmark, the initial goal should be to meet the benchmark, not exceed it prematurely.

Option B is correct because setting a goal of 1.00 aligns performance with the national standard and reflects a reasonable, achievable target that supports staff engagement and sustainability. This approach follows the CPHQ principle of incremental improvement.

Option A represents an arbitrary reduction that does not align with an external benchmark. Option C is overly aggressive and may discourage staff. Option D is unrealistic, as zero harm goals are aspirational but not appropriate as an initial measurable target.

The CPHQ framework stresses that early success builds momentum for continued improvement, making alignment with the national benchmark the best initial goal.

The data in the table shows that Department C has the lowestcompliance rate in pain management at 65%, which is well below the organization’s goal of a 90% mean compliance rate. This indicates that pain management presents the greatest opportunity for improvement. Focusing on pain management in Department C could yield significant gains in overall patient care and satisfaction, as managing pain effectively is a critical component of quality care.

Patient flow (A): Although Department C also has low compliance in patient flow, pain management has the lowest compliance rate, making it a higher priority.

Environment of care (B): Compliance rates are higher in this focus area, especially in Department B.

Infection prevention (D): Compliance rates are generally higher across all departments in this area, so it is not the most pressing issue.

References

NAHQ Body of Knowledge: Quality Improvement Prioritization

NAHQ CPHQ Exam Preparation Materials: Analyzing Performance Data for Improvement

In the Patient Safety domain, NAHQ stresses the importance of forcing functions and constraints—technology-based controls that prevent unsafe actions. Requiring a second staff member’s login to proceed past a critical safety step is a classic example of leveraging technology to hardwire safety into the process.

Reduced reporting (Option C) may indicate underreporting, not improved safety. Replacing oral communication (Option B) does not inherently improve safety. Increased workarounds (Option D) signal system failure. Therefore, Option A best demonstrates effective use of technology to improve patient safety.

The NAHQ CPHQ exam blueprint identifies electronic health records (EHRs) and health information exchanges (HIEs) as the primary drivers of large-scale healthcare data availability.

Option D is correct because EHRs and HIEs aggregate vast amounts of clinical, operational, and outcomes data across populations and settings, enabling advanced analytics and quality measurement.

Options A and B provide limited or secondary data sources. Option C contributes data but is not the primary driver.

Understanding the impact of digital transformation on quality analytics is a key CPHQ competency.

Comprehensive and Detailed Explanation From Exact Extract:

In the Health Data Analytics domain, demonstrating data validity means confirming that data were collected and classified using standardized and accurate definitions.

The criteria used to classify infections (such as those defined by CDC/NHSN standards) ensure that reported infection data accurately reflect true healthcare-associated infections and are comparable across departments.

The infection control manual or antibiotic timing data support practices but do not validate the accuracy of infection classification. Therefore, option C best verifies data validity.

Detailed Explanation:

To display a trend over time, a line graph is the best choice as it connects data points sequentially, showing the direction and pattern of change.

Option C: Line graph

Line graphs effectively display trends, helping viewers see how a variable changes over time.

Option A: Pie chart

Pie charts are used for showing proportions at a single point in time.

Option B: Pictogram

Pictograms display data using symbols, which are not suitable for trends.

Option D:Frequency distribution

Frequency distributions summarize data points but do not illustrate trends over time.

Detailed Explanation:

The prioritization matrix suggests selecting high-impact, low-effort actions first, as they provide the most benefit with minimal resources.

Option A: Create a paper checklist

This is a high-impact, low-effort task, making it the most efficient improvement effort to implement first.

CLIA (C) regulates laboratory testing, requiring certification for expanded diagnostic testing. CAP (A) provides accreditation, NCQA (B) focuses on managed care, and TJC (D) accredits organizations but not specifically testing. NAHQ specifies CLIA for laboratory compliance.

NAHQ CPHQ Study Guide, Organizational Leadership Section, “Regulatory Compliance for Laboratory Services”; NAHQ CPHQ Practice Exam, Accreditation and Regulatory Standards.

Comprehensive and Detailed Explanation From Exact Extract:

Under the Patient Safety domain, a pre-operative time out is a standardized safety pause that empowers any member of the surgical team to speak up and halt the procedure if a concern arises.

It embodies a culture of safety and shared accountability, ensuring correct patient, procedure, and site verification.

While other practices address safety, the time out uniquely ensures empowerment for all staff to intervene, regardless of role or hierarchy.

Surveillance methods in patient safety monitor risks or events, with different approaches based on how data is collected.

Option A (Retrospective): Retrospective surveillance reviews past data, not specifically relying on others to report.

Option B (Passive): This is the correct answer. The NAHQ CPHQ study guide states, “Passive surveillance relies on voluntary reporting of safety concerns by individuals, such as staff or patients, without active data collection” (Domain 1). Examples include incident reports submitted by others.

Option C (Prospective): Prospective surveillance plans for future data collection, not relying on others’ reports.

Option D (Active): Active surveillance involves proactive data collection (e.g., audits), not waiting for reports.

CPHQ Objective Reference: Domain 1: Patient Safety, Objective 1.7, “Implement surveillance methods for safety,” includes passive surveillance for voluntary reporting. The NAHQ study guide notes, “Passive surveillance depends on others to report safety issues” (Domain 1).

Rationale: Passive surveillance relies on others’ reports, aligning with CPHQ’s safety monitoring principles.

Comprehensive and Detailed Explanation From Exact Extract:

In the Organizational Leadership domain, preparation for accreditation requires a systematic approach. During the first year of the accreditation cycle, the top priority is to perform a standards compliance gap analysis.

This assessment identifies where the organization currently meets or falls short of accreditation requirements, guiding the development of improvement and corrective action plans throughout the cycle.

Developing programs or policies follows after identifying gaps. Just-in-time training is used closer to survey readiness but not as the initial step.

In the Performance and Process Improvement domain, NAHQ highlights the importance of team engagement and collaborative problem-solving. Presenting the problem and asking for feedback encourages frontline staff participation and leverages their expertise to identify root causes and practical solutions.

Prescribing causes or solutions (Option A) undermines engagement and may miss key insights. Communicating a pre-developed action plan (Option B) limits ownership. Sharing personal experience (Option D) does not promote systematic improvement. NAHQ consistently supports inclusive, data-driven dialogue as the most effective initial approach, making Option C correct.

Secondary prevention in healthcare is primarily intended to focus on the early detection and treatment of disease12. This level of prevention is about detecting and treating disease early, often before symptoms are present, thus minimizing serious consequences2. It includes measures taken during an interaction between an individual patient and a clinician1. Examples of secondary prevention include screening programs, such as mammography to detect breast cancer and dual x-ray absorptiometry (DXA) to detect osteoporosis2. Therefore, the answer is option C: focus on early detection and treatment of disease.

Proactively controlling costs involves anticipating and preventing unnecessary expenses before they occur, requiring a forward-looking data review approach.

Option A (Retrospective): Retrospective reviews analyze past data, useful for identifying trends but not proactive cost control.

Option B (Prospective): This is the correct answer. The NAHQ CPHQ study guide states, “Prospective data review analyzes planned interventions or patient care to prevent unnecessary costs, such as avoiding inappropriate procedures” (Domain 2). Examples include pre-authorization reviews.

Option C (Administrative claims): Claims data is retrospective, analyzing costs after services, not proactively controlling them.

Option D (Clinical records): Clinical records are typically retrospective, not forward-looking for cost prevention.

CPHQ Objective Reference: Domain 2: Health Data Analytics, Objective 2.5, “Use data for cost control,” emphasizes prospective reviews for proactive management. The NAHQ study guide notes, “Prospective reviews prevent costly errors by evaluating plans in advance” (Domain 2).

Rationale: Prospective reviews enable cost control before services are rendered, aligning with CPHQ’s data analytics principles.