NAHQ CPHQ Dumps

The goal is to ensure that preventable falls do not exceed 25% of the total falls in any unit. To determine which units meet this goal, we need to calculate the percentage of preventable falls for each unit:

Unit 1:

Total Falls: 14

Preventable Falls: 7

Percentage: (7/14) * 100 = 50%

Does not meet the goal (50% > 25%).

Unit 2:

Total Falls: 9

Preventable Falls: 3

Percentage: (3/9) * 100 = 33.33%

Does not meet the goal (33.33% > 25%).

Unit 3:

Total Falls: 3

Preventable Falls: 2

Percentage: (2/3) * 100 = 66.67%

Does not meet the goal (66.67% > 25%).

Unit 4:

Total Falls: 1

Preventable Falls: 0

Percentage: (0/1) * 100 = 0%

Meets the goal (0% < 25%).

Unit 5:

Total Falls: 2

Preventable Falls: 1

Percentage: (1/2) * 100 = 50%

Does not meet the goal (50% > 25%).

Based on these calculations, only Unit 4 meets the goal. However, the Unit 5 is incorrectly assessed, as 50% does not meet the threshold of 25%. Hence, the correct answer is Unit 4 only. Please ignore the earlier verified statement.

References:

NAHQ Healthcare Quality Competency Framework: Patient Safety

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The first step in building a new population health program is to analyze the data infrastructure capabilities and sources of information. Effective population health management requires robust data collection, integration, and analysis capabilities to identify and stratify patient populations, track health outcomes, and monitor program effectiveness. Understanding the current data infrastructure will enable the director to assess whether the existing systems can support the new program and what enhancements may be needed.

Implement artificial intelligence programs to stratify patients into categories of risk (A): While important, this is a later step that depends on having a solid data infrastructure in place.

Identify strategies to incorporate social determinants of health screenings (B): This is also crucial but should follow an understanding of the data infrastructure and capabilities.

Design a complex care management program focused on chronic health conditions (C): Designing the program is important but must be informed by a thorough analysis of the data capabilities.

References

NAHQ Body of Knowledge: Data Management in Population Health Programs

NAHQ CPHQ Exam Preparation Materials: Steps to Building a Population Health Program

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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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