Posted: September 4th, 2023

NUR 630 Overview of Quality in Health Care

NUR 630 Overview of Quality in Health Care

The purpose of this assignment is to apply the concepts you have learned in this course to a situation you have encountered. Choose one quality or patient safety concern with which you are familiar and that you have not yet discussed in this course. In a 1,250-1,500-word NUR 630 Overview of Quality in Health Care essay, reflect on what you have learned in this course by applying the concepts to the quality or patient safety concern you have selected. Include the following in your essay:

Briefly describe the issue and associated challenges.
Explain how EBP, research, and PI would be utilized to address the issue.
Explain the PI or QI process you would apply and discuss why you chose it.
Describe your data sources, including outcome and process data.
Explain how the data will be captured and disseminated.
Discuss which organizational culture considerations will be essential to the success of your work. This assignment uses a rubric.
Use a minimum of four peer-reviewed, scholarly sources as evidence.

Prepare this assignment according to the guidelines found in the APA Style Guide, located in the Student Success Center.

This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.

You are required to submit this assignment to LopesWrite. A link to the LopesWrite technical support articles is located in Class Resources if you need assistance.

NUR 630 Overview of Quality in Health Care Resources
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Continuous Quality Improvement in Health Care
Read Chapter 14 and review Chapter 2 in Continuous Quality Improvement in Health Care.

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NUR 630 Overview of Quality in Health Care
Washington Manual of Patient Safety and Quality Improvement

Review Chapter 12 in Washington Manual of Patient Safety and Quality Improvement.

View Resource
Kamishibai Cards to Sustain Evidence-Based Practices to Reduce Healthcare-Associated Infections

Read “Kamishibai Cards to Sustain Evidence-Based Practices to Reduce Healthcare-Associated Infections,” by Shea, Smith, Koffarnus

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https://www-sciencedirect-com.lopes.idm.oclc.org/science/article/pii/S0196655318309921
Music Therapy and Pain Management in Patients With End-Stage Liver Disease: An Evidence-Based Practice Quality Improvement Project. NUR 630 Overview of Quality in Health Care

Read “Music Therapy and Pain Management in Patients With End-Stage Liver Disease: An Evidence-Based Practice Quality Improvement Proj

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https://www-sciencedirect-com.lopes.idm.oclc.org/science/article/pii/S1524904217305532
Impact of an Automated Hand Hygiene Monitoring System Combined With a Performance Improvement Intervention on Hospital-Acquired Infections

Read “Impact of an Automated Hand Hygiene Monitoring System Combined With a Performance Improvement Intervention on Hospital-Acquired

… Read More

https://oce-ovid-com.lopes.idm.oclc.org/article/00004848-202008000-00010/HTML
Maximizing the Benefit of Quality Improvement Activities: A Spread of Innovations Model

Read “Maximizing the Benefit of Quality Improvement Activities: A Spread of Innovations Model,” by Wolak, Overman, Willis, Hedges

… Read More

https://oce-ovid-com.lopes.idm.oclc.org/article/00001786-202007000-00003/HTML
Identification of Adverse Events in Pediatric Severe Traumatic Brain Injury Patients to Target Evidence-Based Prevention for Increased Performance Improvement and Patient Safety

Read “Identification of Adverse Events in Pediatric Severe Traumatic Brain Injury Patients to Target Evidence-Based Prevention for In

… Read More

https://www-sciencedirect-
NUR 630 Overview of Quality in Health Care – RubricMisdiagnosis, often due to diagnostic overshadowing and communication difficulties

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Misdiagnosis is a significant issue in healthcare that can have severe consequences for patients. Often, this problem occurs due to diagnostic overshadowing and communication difficulties between healthcare providers. In this essay, I will discuss how evidence-based practice (EBP), research, and performance improvement (PI) can be utilized to address misdiagnosis, explain the PI process I would apply and why I chose it, describe data sources for outcome and process data, and explain how the data will be captured and disseminated. Finally, I will discuss the essential organizational culture considerations for the success of this work.

The Issue and Associated Challenges
Misdiagnosis can occur for many reasons, including miscommunication between healthcare providers, poor diagnostic skills, and diagnostic overshadowing, where a patient’s symptoms are attributed to their pre-existing conditions rather than being recognized as a new medical problem. This issue can lead to poor patient outcomes, increased healthcare costs, and decreased patient satisfaction. A significant challenge in addressing this issue is the lack of consistent diagnostic processes and protocols in healthcare settings, which can lead to variability in diagnostic accuracy and reliability.

Utilizing EBP, Research, and PI to Address the Issue
To address misdiagnosis, a multifaceted approach is necessary that involves EBP, research, and PI. EBP involves using the best available evidence to inform clinical decision-making, which can help healthcare providers identify and diagnose medical conditions accurately. Research can provide insights into the factors that contribute to misdiagnosis and identify effective interventions to improve diagnostic accuracy. PI is a structured approach to improving healthcare delivery and patient outcomes that involves identifying areas for improvement, implementing changes, and measuring the impact of those changes.

The PI or QI Process
The PI process I would apply to address misdiagnosis involves the following steps:

Identify the problem: In this case, the problem is misdiagnosis due to diagnostic overshadowing and communication difficulties.

Assemble a multidisciplinary team: This team will include healthcare providers from different disciplines, including physicians, nurses, and allied health professionals.

Analyze data: Data will be collected from various sources, including medical records, patient surveys, and provider feedback, to identify patterns and trends in misdiagnosis.

Develop and implement interventions: Based on the data analysis, the team will develop interventions to improve diagnostic accuracy, such as improving communication between providers, developing diagnostic algorithms, and implementing training programs for healthcare providers.

Evaluate and monitor progress: The team will monitor the impact of the interventions on diagnostic accuracy, using both outcome and process measures, to determine if further modifications are necessary.

Data Sources
Data sources for this PI process will include medical records, patient surveys, provider feedback, and diagnostic testing results. Outcome data will include rates of misdiagnosis, patient satisfaction, and healthcare costs. Process data will include measures of diagnostic accuracy, such as sensitivity and specificity, and compliance with diagnostic protocols and algorithms.

Data Capture and Dissemination
Data will be captured using a variety of methods, including electronic health records, patient surveys, and provider feedback forms. The data will be analyzed and disseminated to the multidisciplinary team and other stakeholders using visual representations, such as charts and graphs, to facilitate understanding and engagement.

Organizational Culture Considerations
Organizational culture considerations that are essential for the success of this work include leadership support, staff engagement and buy-in, and a culture of continuous improvement. Effective communication and collaboration between healthcare providers are also critical, as misdiagnosis often results from communication difficulties. Additionally, training programs and resources that support diagnostic accuracy should be available to healthcare providers.

In conclusion, misdiagnosis is a significant issue in healthcare that can have severe consequences

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