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NAHQ CPHQ Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Organizational Leadership33-37%- Education and Training
  • 1. Educational program development
  • 2. Staff competency assessment
  • 3. Communication strategies
- Communication and Relationship Management
  • 1. Stakeholder engagement
  • 2. Conflict resolution
  • 3. Interprofessional collaboration
- Leadership and Strategic Management
  • 1. Resource allocation and management
  • 2. Strategic planning and goal setting
  • 3. Change management
Topic 2: Population Health and Care Transitions13-17%- Care Coordination and Transitions
  • 1. Chronic disease management
  • 2. Care continuity and integration
  • 3. Transition of care planning
- Population Health
  • 1. Wellness and prevention programs
  • 2. Community health assessment
  • 3. Social determinants of health
Topic 3: Performance and Process Improvement23-27%- Patient Safety
  • 1. High reliability principles
  • 2. Safety culture assessment
  • 3. Event reporting and analysis
- Process Improvement and Patient Safety
  • 1. Risk management and mitigation
  • 2. Quality improvement methodologies
  • 3. Root cause analysis
- Patient and Stakeholder Engagement
  • 1. Community health needs assessment
  • 2. Patient-centered care initiatives
  • 3. Patient experience and satisfaction
Topic 4: Health Data Analytics23-27%- Analytics and Reporting
  • 1. Predictive modeling
  • 2. Trend analysis and forecasting
  • 3. Data visualization and reporting
- Design and Data Management
  • 1. Database management
  • 2. Data collection and validation
  • 3. Data integrity and security
- Measurement and Analysis
  • 1. Benchmarking
  • 2. Statistical analysis methods
  • 3. Performance measurement

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NAHQ Certified Professional in Healthcare Quality Examination Sample Questions (Q181-Q186):

NEW QUESTION # 181
The chart above is used by a team to document process improvement results following an intervention that was implemented during the 20th week. Based on this chart, the team can conclude:

Answer: A

Explanation:
* Understanding the Control Chart ComponentsThis control chart shows the median delay over time (by week), with control limits (UCL - Upper Control Limit, LCL - Lower Control Limit) and a center line (CL) indicating the process average before the intervention. Control charts like this one are used to determine whether an intervention has led to a significant change in process performance.
* Analyzing the Data Before and After the Intervention
* From weeks 1 to 19, before theintervention, the process appears to fluctuate around the control limits, with several points near the upper control limit, indicating higher variation and a generally stable process around a higher median delay.
* After week 20, following the intervention, the data points show a clear shift downward, consistently staying below the previous control line (CL). The process median delay has notably reduced, and all data points fall within a new, lower range.
* Conclusion Based on the Control Chart
* The consistent reduction in median delay and the clustering of data points below the previous center line indicate a shift in performance rather than mere random variation. This type of change, sustained over multiple weeks, strongly suggests that the intervention had a substantial impact on reducing the delay.
* While there may also be a decrease in variation, the primary visible effect is a shift in performance toward lower median delay values.
* Rationale for Selecting Answer BThe correct answer is B. The intervention resulted in a shift in performance, as the chart shows a distinct change in the process level post-intervention, indicating an improvement.
References:
NAHQ "Quality Improvement in Healthcare: Statistical Process Control"
"Interpreting Control Charts forProcess Improvement" (NAHQ, 2020)


NEW QUESTION # 182
Amenities may cover areas as mentioned below EXCEPT:

Answer: D


NEW QUESTION # 183
The median is defined as the

Answer: D

Explanation:
The median is a measure of central tendency in statistics that represents the middle value of an ordered data set.
* Data Set Ordering: To find the median, the data set must first be arranged in ascending or descending order.
* Middle Value Identification: The median is the value that divides the data set into two equal parts, with 50% of the data points lying below it and 50% above it. If the number of observations is odd, the median is the middle number; if even, it is the average of the two middle numbers.
* Robustness: Unlike the mean, the median is not affected by extreme values (outliers), making it a more robust measure of central tendency in skewed distributions.
References: (Based on Healthcare Quality NAHQ documents and resources)
* NAHQ Study Guide on Statistical Methods in Quality Improvement.
* Quality Management in Health Care, Chapter on Measures of Central Tendency.
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NEW QUESTION # 184
Once listing posts system is in place, root-cause analyses can be performed to identify particular problems, such as a staff member or medical group that contributes to problems, or problems that are systemic to the delivery of care, such as an antiquated manual appointment system.
Listing post strategies include (Choose two):

Answer: A,D


NEW QUESTION # 185
The following represents two samples of five hospitals' hysterectomy rates per 1,000 women aged 40-60 years of age:
Rates Mean Standard Deviation
Sample A 3, 5, 7, 8, 5 5.6 1.8
Sample B 4, 5, 6, 7, 5 5.4 1.1
In analyzing this information, it can be concluded that:

Answer: B


NEW QUESTION # 186
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