Legit CPHQ Exam Download

A continuous survey readiness program is a systematic approach to ensure that an organization is always prepared for an accreditation survey. It involves a commitment from leadership to improvement and compliance12. This commitment is crucial as it sets the tone for the entire organization and ensures that all staff members understand the importance of maintaining compliance with accreditation standards. The leadership’s commitment to improvement and compliance is reflected in their support for continuous training, the establishment of an effective quality assurance and performance improvement (QA/QAPI) program, and the implementation of effective customer service and grievance programs3.

A criterion is considered valid if it measures what it is intended to measure. Validity refers to the accuracy of a measure, meaning the criterion accurately reflects the concept or outcome it is supposed to assess. For example, if a criterion is designed to measure patient satisfaction, it should accurately capture patients' perceptions of their care.

Consistently yields the same results (A): This describes reliability, not validity.

Does not change with changes in technology (B): This is not related to validity.

Is applicable to many groups and settings (C): This refers to generalizability, not validity.

References

NAHQ Body of Knowledge: Measurement Principles in Quality Improvement

NAHQ CPHQ Exam Preparation Materials: Validity and Reliability in Quality Measures

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When dealing with a significant increase in the time it takes for insurance claims to be submitted, which results in the hospital not being paid in a timely manner, the best course of action for a healthcare quality professional is to assemble a work group and facilitate the development of a fishbone diagram12.

A fishbone diagram, also known as a cause-and-effect diagram or Ishikawa diagram, is a visual tool used to systematically identify and present all the possible causes of a particular problem in order to find its root causes1. This approach is particularly useful in this scenario because it allows the team to visualize the many potential factors contributing to the increase in submission time for insurance claims.

Here are the steps that the healthcare quality professional would take:

Assemble a Work Group: Gather a team of individuals who are familiar with the process and can contribute to identifying potential causes of the problem1.

Define the Problem: Clearly articulate the problem of increased time for insurance claims submission. This is typically written at the head or mouth of the fish in the fishbone diagram1.

Identify Major Cause Categories: Common categories include methods, machines (equipment), people (manpower), materials, measurement, and environment. These are drawn as the “bones” of the fish1.

Identify Possible Causes: Brainstorm all the possible causes of the problem that fall into each category. These are written on the smaller “bones” off of the major cause categories1.

Analyze and Prioritize Causes: Discuss and analyze the identified causes, and prioritize them based on their impact on the problem1.

Identify Solutions: For each high-priority cause, develop strategies or changes to address the cause1.

Implement and Monitor Solutions: Implement the identified solutions, monitor their effectiveness, and make adjustments as necessary1.

By following these steps, the healthcare quality professional can systematically address the problem of increased insurance claim submission time, ultimately improving the hospital’s revenue cycle2.

 The P Chart of Hand Hygiene: Compliance before Pt. Contact is divided into Report Time A and Report Time B. The chart plots proportion on the Y-axis ranging from 0.3 to 1, and dates from 2019 January to 2020 November on the X-axis. There are three horizontal lines indicating UCL = 0.9677, P = 0.7517, and LCL = 0.9677. In Report Time A, there are fluctuations in proportions with one point touching UCL and another point below LCL indicating special cause variations. In Report Time B, all data points are between UCL and LCL with less fluctuation compared to Report Time A. The red line indicates tests performed with unequal sample sizes.

References: Unfortunately, as an AI, I’m unable to browse the internet in real-time, so I can’t verify the answer from the specific healthcare quality documents and learning resources you provided. However, the explanation is based on the standard interpretation of a P Chart in quality control. For more detailed information, please refer to the provided resources.