NURS FPX 6030 Assessment 5 Evaluation Plan Design

Name

Capella university

NURS-FPX 6030 MSN Practicum and Capstone

Prof. Name

Date

Evaluation Plan Design

This assessment develops an evaluation plan for the Riverside Community Hospital (RCH) capstone project to enhance type II diabetes management through a comprehensive lifestyle modification program. The outcomes sought include optimal glycaemic control, increased patient involvement, and better health. The evaluation plan will assess the intervention’s impact on health promotion, education, and quality improvement. Further, this section examines the leadership of change by the nurse, the relationship between the project and collaborative practice, and the advancement of improvement strategies. Finally, reflections on leadership growth and how these plans can be applied in future practice are provided to ensure sustainable quality improvement.

Evaluation of Plan

Outcomes of the Interventional Plan

The first objectives of the intervention plan are better glycemic control and patient involvement. Glycemic control by reducing HbA1c levels is an essential measure of diabetes and the effectiveness of the intervention in encouraging the right lifestyle changes (O’Donoghue et al., 2021). These outcomes also position the organization to improve the quality, safety, and care experience. Better HbA1c levels mean better disease control and fewer chances of complications and hospitalization. The patient’s engagement ensures that the intervention is personalized and uses the patient-physician relationship. Due to its flexibility, this framework can be implemented in different healthcare organizations, focusing on collaborative practice and systems modifications to treat chronic diseases.

Other outcomes include weight and blood pressure changes, and patient self-reporting of quality of life indicators as other factors that would help the program’s goal of promoting health and avoiding complications (Patel & Keyes, 2024). These outcomes illustrate the intervention’s goal by attending to clinical and biopsychosocial elements of diabetes self-care, focusing on patient-centered care and behavior change. Although these outcomes are important, they will not necessarily reflect the effects of the intervention on glycemic control, which is an essential aspect of diabetes care and the focus of this project. On the other hand, solely focusing on HbA1c might sacrifice the numerous psychosocial factors that exist in persons with diabetes. Thus, the balance of clinical and patient-reported outcomes of this intervention should provide a holistic and efficient treatment of diabetes.

Evaluation Plan

To assess these outcomes, there will be a need for pre-and post-intervention HbA1c levels, patient compliance status, response to the feasibility of the intervention, and incidence of diabetic complications. In data collection, clinical rating scales, questionnaires, and patient interviews will be used. By employing mobile health (mHealth) apps, patients will document their improvement to monitor their diet, physical activity, and stress in real time. Smart glucose monitors, wearable devices, and self-reported questionnaires will improve the quality and speed of data sampling. Quantitative data will be analyzed using statistical tools and software such as SPSS or Excel to compare pre-and post-intervention metrics and identify trends or improvements (Masuadi et al., 2021).

Patient information will be collected in the form of qualitative information, and the data will be analyzed by focusing on the themes that patients have reported on their experiences. The evaluation plan will highlight the intervention’s impact by demonstrating measurable improvements in clinical outcomes and patient-reported benefits. It assumes that patients will engage with the intervention consistently, that data collection tools will provide reliable and accurate results, and that external factors like healthcare access or unforeseen stressors will not significantly skew outcomes. This comprehensive evaluation plan ensures accountability and offers insights to refine future interventions.

Discussion

Advocacy

Nurses are key in change, care quality, and experience enhancement. In this project, nurses lead the change by promoting patient care initiatives for diabetes management, including lifestyle modification programs. They only act as patient advocates and coordinate the working relationships between the patient and other various qualified interprofessional teams of physicians, dietitians, fitness trainers, and mental health counselors. Nurses are responsible for teaching patients self-management techniques, assessing patients’ self-management, solving patients’ lack of adherence, and being closely involved and empowering patients (Awang Ahmad et al., 2020).

Finally, nurses thus apply evidence-based practice (EBP) in delivering quality improvements by supporting particular practices such as diet changes and patient coping mechanisms. They add value to care by comforting and attending to sensitive patients and as joyful supporters of their needs while guaranteeing they are met holistically. The role played here enhances the provision of timely and proper coordination of the assessment and actual implementation of the interventions by the team, including the nurse. The analysis assumes that nurses have good leadership qualities, communication skills, and an understanding of EBP. Also, it prescribes that interprofessional teams are ready to collaborate and patients are prepared to employ self-management techniques.

NURS FPX 6030 Assessment 5 Evaluation Plan Design

The intervention plan is most influential in nursing, encouraging the patient’s learning modes regarding their chronic illnesses and the resulting patient self-care behaviors that follow. For nurses, the project provides chances to develop motivational interviewing, behavior change knowledge and skills, and interprofessional communication, thus raising the standard of their practice. The plan also re-emphasizes nurses’ advocacy and leadership responsibilities in advocating for and implementing evidence-based approaches to glycemic control and other health-related determinants (Awang Ahmad et al., 2020). This intervention plan requires interprofessional collaboration for it to be successful. Coordination is a concept that creates a multidisciplinary working relationship between nurses, physicians, dietitians, fitness trainers, and mental health counselors.

It can optimize resource use, cut unnecessary duplication, and deliver bundled care services to enhance the treatment efficacy of patients diagnosed with type II diabetes. The healthcare field benefits from this project by avoiding complications and hospitalization and improving patient satisfaction. This shows the effectiveness of combining lifestyle changes with chronic illness treatment and can serve as a blueprint for other diseases, such as cardiovascular issues. However, uncertainty comprises patient compliance, the durability of lifestyle changes, and how various settings affect the results. Further data on the difficulties associated with implementation and the costs of the intervention could help to understand the effectiveness of the intervention further.

Future Steps

The intervention plan could be expanded to include culturally tailored resources and community outreach programs to create a bigger impact. This would entail developing lifestyle change programs that meet the various needs of the target population (adults 18-65 years) and making them easily available to those in vulnerable groups (Tafoya, 2023). Supplementing with group education sessions and developing peer support, outcome: modifying behavior patterns through patients’ cooperative learning.

Of the existing components, the intervention could enhance how it implements emerging technologies in wearable health devices like continuous glucose monitors and fitness trackers. Such devices offer patients data as they progress through the program and help them stay responsible. Furthermore, artificial intelligence coaching and risk prediction components could improve the mHealth applications by identifying potential threats and offering recommendations to avoid them (Gandedkar et al., 2021).

The new care delivery methods, including patient-centered medical homes (PCMHs) and care integration networks, could also enhance the results and safety. Thus, integrating the intervention in the above-said models makes care coordination and patient follow-up easier. Telemedicine could facilitate multidisciplinary team meetings to enhance the efficiency of care while maintaining the coherence of the care plan (Elsiss et al., 2022). These proposed improvements are contingent on patient and caregiver technology literacy, healthcare professionals’ training in new care delivery models, and funding for program growth. Redressing these assumptions will require training programs, funding for the technology, and patient education initiatives as part of these enhancements. These changes can help build a wider, longer-term effect while enhancing the results of patient treatment and safety results.

Reflection on Leading Change and Improvement

Throughout this capstone project, I have gained a deeper understanding of how to lead change in both my practice and in a broader care setting. The experience has equipped me with the skills to plan and implement change using evidence-based interventions while collaborating with others to create meaningful patient impacts. One of the key insights I gained was how to link an intervention plan with organizational goals and patient-centered care. Designing, implementing, and evaluating the intervention allowed me to focus on improving outcomes for patients while ensuring that my actions align with larger system objectives.

This project has also prepared me for future leadership roles by enhancing my ability to drive interdisciplinary collaboration and initiate meaningful change within healthcare systems. I’ve developed critical problem-solving skills, stakeholder management strategies, and a deeper understanding of using technology and data to inform decision-making. Looking ahead, I plan to continue enhancing my leadership skills, expanding my knowledge in healthcare sciences, and exploring methods for empowering teams to deliver high-quality results.

The structure of this project can be adapted to address other chronic conditions, such as hypertension or cardiovascular diseases. The strategies of behavior modification and self-management could easily be modified and applied to different care settings, such as community clinics or long-term care facilities. Outcomes like HbA1c levels, patient compliance, and quality of life can be universally applied to assess the effectiveness of these interventions. Future applications of technology in healthcare, such as telemedicine and remote monitoring, could further amplify the impact of these plans. In resource-limited environments, these strategies can be adapted to fit local needs, ensuring that quality improvements are feasible and effective across diverse healthcare settings.

Conclusion

In conclusion, the evaluation plan presents an effective approach to measuring the effectiveness of the intervention. The following outcome indicators can be used to quantify the program’s success. Furthermore, practicing these strategies in various care settings will build the framework for enhancing the quality of care and patient satisfaction in different population groups.

References

Awang Ahmad, N. A., Sallehuddin, M. A. A., Teo, Y. C., & Abdul Rahman, H. (2020). Self-care management of patients with diabetes: Nurses’ perspectives. Journal of Diabetes & Metabolic Disorders, 19(2), 1537–1542. https://doi.org/10.1007/s40200-020-00688-w

Elsiss, F., Chun, N., Keyser, C., Park, G., Winn, M., Ammar, D., & Bao, S. (2022). Telemedicine solution for multidisciplinary care delivery: A user requirements analysis. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 66(1), 1151–1155. https://doi.org/10.1177/1071181322661519

Gandedkar, N. H., T. Wong, M., & Darendeliler, M. A. (2021). Role of virtual reality (VR), augmented reality (AR) and artificial intelligence (AI) in tertiary education and research of orthodontics: An insight. Seminars in Orthodontics, 27(2), 69–77. https://doi.org/10.1053/j.sodo.2021.05.003

Masuadi, E., Mohamud, M., Almutairi, M., Alsunaidi, A., Alswayed, A. K., & Aldhafeeri, O. F. (2021). Trends in the usage of statistical software and their associated study designs in health sciences research: A bibliometric analysis. Cureus, 13(1). NCBI. https://doi.org/10.7759/cureus.12639

O’Donoghue, G., O’Sullivan, C., Corridan, I., Daly, J., Finn, R., Melvin, K., & Peiris, C. (2021). Lifestyle interventions to improve glycemic control in adults with type 2 diabetes living in low-and-middle-income countries: A systematic review and meta-analysis of randomized controlled trials (RCTs). International Journal of Environmental Research and Public Health, 18(12), 6273. https://doi.org/10.3390/ijerph18126273