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NURS FPX 9901 Assessment 2 Quality Performance Improvement (QI/PI)

NURS FPX 9901 Assessment 2 Quality Performance Improvement (QI/PI)


Capella university

NURS-FPX 9901 Nursing Doctoral Project 1

Prof. Name


Quality/Performance Improvement

Quality/Performance Improvement (QI/PI) involves a systematic approach employed in various fields to enhance the quality, efficiency, and effectiveness of processes, products, or services. It entails identifying areas for improvement, and in the context of this project, the quality performance will be measured concerning staff education on nutritional modification and telehealth intervention for efficient COPD diagnosis. QI/PI methodologies aim to drive continuous improvement and achieve higher performance levels (AHRQ, 2020).

Describe the Current Practice Needing Improvement

The issue addressed is the care provided to in-patients diagnosed with Chronic Obstructive Pulmonary Disease (COPD), a chronic respiratory condition that significantly impairs lung function and quality of life (Konstantinidis et al., 2022). Patients often require specialized care to manage symptoms, improve lung function, and prevent readmissions. The root cause analysis indicates a gap in current practices, including insufficient knowledge about nutritional practices, timely follow-ups, and discerning requisite care for COPD management. The lack of appropriate emergency services further exacerbates the issue, resulting in prolonged waiting periods (Konstantinidis et al., 2022). The root cause suggests that current practices for COPD patients are not optimized for desired outcomes.

The gap analysis implies a need to address limitations in current practices for in-patients diagnosed with COPD. The project aims to explore and compare nutritional and telehealth interventions to bridge this gap, improve lung function values, and reduce readmission rates in COPD patients (Press et al., 2019; Wong et al., 2022).

A QI/QP Framework that Will Support and Guide the Project

To support and guide the project, a QI/QP framework, such as the Plan-Do-Study-Act (PDSA) model, can be utilized. The PDSA model provides a structured approach to identifying, implementing, and measuring the effectiveness of interventions. Key accomplishments, including literature review, study design, protocol development, and intervention implementation, will help meet project objectives through the PDSA model. Formative assessments involving feedback from stakeholders will provide valuable insights for project improvement (Burkes et al., 2018; Ko et al., 2019).

How QI/PI Data Will Be Collected and Analyzed

Collecting and analyzing QI/PI data is crucial for evaluating intervention effectiveness. Data sources include standardized assessment tools, medical records, patient surveys, and other relevant data sources. Comparative analysis will be employed to assess the impact of nutritional and telehealth interventions on lung function values and readmission rates. Formative assessments, including stakeholder feedback and continuous monitoring, will provide insights into progress and areas of improvement (Konstantinidis et al., 2022; Sculley et al., 2021).

Changes in Quality or Performance Will Be Evaluated

Evaluation tools, such as COPD-related CKQ or spirometry tests, will be utilized to measure changes in knowledge levels, lung function values, and other outcomes. Quantitative data, including readmission rates, patient satisfaction scores, and other relevant measures, will be analyzed using appropriate statistical methods. The criteria for evaluating outcomes include effectiveness, efficiency, stakeholder engagement, and feedback, aligning with project objectives and allowing for comparison with baseline data (Robertson et al., 2021).


The project has demonstrated the effectiveness of QI/PI changes in improving care for COPD patients. Findings provide valuable insights for future initiatives. Continued monitoring, evaluation, and ongoing quality improvement efforts are essential for sustained success and the delivery of high-quality care to COPD patients.


Agency for Healthcare Research and Quality. (2020). Plan-Do-Study-Act (PDSA) directions and examples.

Agency for Healthcare Research and Quality. (2020, January). Section 4: Ways to approach the quality improvement process (page 1 of 2) | Agency for Healthcare Research & Quality.

Backhouse, A., & Ogunlayi, F. (2020). Quality improvement into practice. BMJ, 368(1).

Berry, G., Shabana, K. M., & New England Journal of Entrepreneurship. (2020). Adding a strategic lens to feasibility analysis. New England Journal of Entrepreneurship, 23(2), 67–78.

Burkes, R. M., Mkorombindo, T., Chaddha, U., Bhatt, A., El-Kersh, K., Cavallazzi, R., & Kubiak, N. (2018). Impact of quality improvement on care of Chronic Obstructive Pulmonary Disease Patients in an Internal Medicine Resident Clinic. Healthcare, 6(3), 88.

Calvillo-Arbizu, J., Román-Martínez, I., & Reina-Tosina, J. (2021). Internet of Things in Health: Requirements, issues, and Gaps. Computer Methods and Programs in Biomedicine, 208.

NURS FPX 9902 Assessment 2 Literature Search

Furulund, E., Bemanian, M., Berggren, N., Madebo, T., Rivedal, S. H., Lid, T. G., & Fadnes, L. T. (2021). Effects of nutritional interventions in individuals with Chronic Obstructive Lung Disease: A Systematic review of randomized controlled trials. International Journal of Chronic Obstructive Pulmonary Disease, 16, 3145–3156.

Haynes, J. (2018). Basic spirometry testing and interpretation for the primary care provider. Canadian Journal of Respiratory Therapy, 54(4), 92–98.

Ko, F. W. S., Chan, K. P., & Hui, D. S. C. (2019). Comprehensive care for Chronic Obstructive Pulmonary Disease. Journal of Thoracic Disease, 11(S17), S2181–S2191.

Konstantinidis, A., Kyriakopoulos, C., Ntritsos, G., Giannakeas, N., Gourgoulianis, K. I., Kostikas, K., & Gogali, A. (2022). The role of digital tools in the timely diagnosis and prevention of acute exacerbations of COPD: A comprehensive review of the literature. Diagnostics, 12(2).

Li, S.-A., Jeffs, L., Barwick, M., & Stevens, B. (2018). Organizational contextual features that influence the implementation of evidence-based practices across healthcare settings: A systematic integrative review. Systematic Reviews, 7(1), 1–19.

Press, V. G., Au, D. H., Bourbeau, J., Dransfield, M. T., Gershon, A. S., Krishnan, J. A., Mularski, R. A., Sciurba, F. C., Sullivan, J., & Feemster, L. C. (2019). Reducing Chronic Obstructive Pulmonary Disease hospital readmissions. An official American thoracic society workshop report. Annals of the American Thoracic Society, 16(2), 161–170.

NURS FPX 9902 Assessment 2 Literature Search

Robertson, N. M., Siddharthan, T., Pollard, S. L., Alupo, P., Flores-Flores, O., Rykiel, N. A., Romani, E. D., Ascencio-Días, I., Kirenga, B., Checkley, W., Hurst, J. R., Quaderi, S., & GECo Investigators. (2021). Development and validity assessment of a Chronic Obstructive Pulmonary Disease Knowledge Questionnaire in low- and middle-income countries. Annals of the American Thoracic Society, 18(8), 1298–1305.

Sculley, J. A., Musick, H., & Krishnan, J. A. (2021). Telehealth in Chronic Obstructive Pulmonary Disease: before, during, and After the Coronavirus Disease 2019 Pandemic. Current Opinion in Pulmonary Medicine, 28(2), 93–98.

Wang, C., Siff, J., Greco, P. J., Warren, E., Thornton, J. D., & Tarabichi, Y. (2022). The impact of an Electronic Health Record Intervention on spirometry completion in patients with Chronic Obstructive Pulmonary Disease. COPD: Journal of Chronic Obstructive Pulmonary Disease, 19(1), 142–148.

White, R. (2020). Implementation of a fall risk assessment tool in primary practice may decrease fall frequency in the ageing population. Doctoral Dissertations and Projects.

Wong, A. K. C., Bayuo, J., Wong, F. K. Y., Yuen, W. S., Lee, A. Y. L., Chang, P. K., & Lai, J. T. C. (2022). Effects of a nurse-led telehealth self-care promotion program on the quality of life of community-dwelling older adults: Systematic review and meta-analysis. Journal of Medical Internet Research, 24(3).

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