NAHQ Updated CPHQ Exam Questions and Answers by inaaya

The National Quality Forum (NQF) is the best organization to provide third-party endorsed outcome measures for areas such as improvement in medication management, ambulation, and pain. NQF is a nonprofit organization that reviews, endorses, and recommends standardized performance measures for use in healthcare quality improvement. These measures are widely recognized and used by healthcare organizations to ensure high-quality care and improve patient outcomes.

Leapfrog Group (A): Primarily focuses on hospital safety and quality reporting, but not specifically on outcome measures like those listed.

The Joint Commission (TJC) (B): Accredits and certifies healthcare organizations, focusing on overall quality standards rather than specific outcome measures.

URAC (C): Provides accreditation for various types of healthcare organizations but does not focus on endorsing specific outcome measures.

References

NAHQ Body of Knowledge: Quality Measurement and NQF-Endorsed Measures

NAHQ CPHQ Exam Preparation Materials: Identifying and Using Outcome Measures

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Multi-voting is a technique that helps a group narrow down a large list of options to a smaller list of the most important or preferred ones. It is also known as NGT voting or nominal prioritization 1.

Multi-voting is frequently used in the quality improvement process when there are many potential problems or solutions to choose from, and the group needs to focus on the most critical or feasible ones. It can help the group reach a consensus and avoid bias or domination by a few members 1.

According to the NAHQ Healthcare Quality Competency Framework, one of the skills required for healthcare quality professionals is to “use multi-voting to prioritize improvement opportunities” 2. This skill belongs to the domain of performance and process improvement, which involves identifying, analyzing, and implementing changes to improve outcomes and efficiency 3.

The steps of multi-voting are as follows 1:

Generate a list of options or ideas using brainstorming, affinity diagram, or other methods.

Display the list on a flip chart, whiteboard, or computer screen so that everyone can see it.

Ask each group member to select a certain number of options (usually 3 to 5) that they think are the most important or relevant. They can use stickers, dots, or marks to indicate their choices.

Count the number of votes for each option and rank them from the highest to the lowest.

Eliminate the options that received the least votes (usually less than half of the highest vote) and repeat the voting process with the remaining options until the desired number of options is reached (usually 3 to 5).

Discuss the final list of options and agree on the priority order or the final selection. References:

2: NAHQ Healthcare Quality Competency Framework, Domain 3: Performance and Process Improvement, Skill 3.1.4

3: NAHQ Healthcare Quality Competency Framework Overview 4

1: What is Multivoting? NGT Voting, Nominal Prioritization | ASQ 1

The key element in aim development that appears to have been lost after the training is "time-bound." The first aim statement includes a specific timeframe ("within 12 months"), but the second and third aim statements lack a clear deadline for achieving their goals. A SMART aim statement should include a specific time frame to create urgency and allow for timely assessment of progress.

Achievable (B): The goals seem realistic, so achievability is not the issue.

Measurable (C): The goals are quantifiable, indicating they are measurable.

Specific (D): The aims are clearly defined, making them specific.

References

NAHQ Body of Knowledge: SMART Goals and Aim Statements

NAHQ CPHQ Exam Preparation Materials: Developing Effective Aim Statements

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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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