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NURS FPX 6030 Assessment 5 Evaluation Plan Design

Student Name

Capella University

NURS-FPX 6030 MSN Practicum and Capstone

Prof. Name


Evaluation Plan Design

In our ongoing quest to improve geriatric care, we’ve pinpointed the critical issue of unintentional falls among older adults, which significantly undermines their overall health and well-being. To tackle this pressing concern, our intervention plan focuses on implementing customized exercise routines to boost physical strength and stability in senior citizens. This initiative integrates seamlessly with wearable technology to monitor their progress in real-time, facilitating immediate feedback and adjustments. By collaborating closely with interdisciplinary healthcare teams, our aim is to ensure that this intervention effectively reduces the risk of falls and enhances the quality of life for elderly individuals.

Evaluation of Plan

Defining the Outcomes of the Intervention Plan

The primary objective of our intervention plan is to substantially decrease the occurrence of falls among the elderly in community settings. This objective is supported by a multifaceted strategy comprising personalized exercise regimens, targeted strength training, and structured balance sessions tailored for the geriatric community (Nasir et al., 2023). The anticipated outcomes of this intervention reflect its overarching goal. By improving physical strength and stability among older adults, we seek to instill greater confidence in their daily activities, ultimately reducing the risk of unintentional falls.

Moreover, the emphasis on personalized exercise routines ensures higher engagement and adherence, acknowledging the unique health profiles of each participant and working towards their holistic health and well-being. However, like all interventions, there are potential challenges and limitations. One significant challenge is the necessity for consistent participation and unwavering commitment from elderly participants. Given the diverse health conditions and physical capacities among them, outcomes may vary from one individual to another due to inherent physiological differences or varying adherence to the proposed routines.

Additionally, introducing new exercise regimes and training modules might face initial resistance, especially if they significantly deviate from an individual’s routine activities or appear too demanding. These outcomes establish a concrete framework aiming for a marked enhancement in the quality, safety, and overall care experience for the elderly in community settings. The intervention’s design, grounded in evidence-based practices and empirical research, endeavors to address the immediate concern of falls and elevate the general health paradigm for the geriatric community.

Designing the Evaluation Plan for the Intervention

To assess the impact of our intervention on health promotion, quality improvement, and fall prevention among the geriatric community, we have developed a comprehensive evaluation plan. This evaluation relies on both quantitative and qualitative measures to holistically gauge the effectiveness of our intervention. Initially, we will measure tangible outcomes by tracking the number of fall incidences, comparing this data against a pre-intervention baseline to identify improvements. Additionally, to assess physical enhancements, we will monitor participants’ progress in terms of physical strength and balance through periodic assessments, contrasting results against preset benchmarks for systematic progress tracking.

Qualitative feedback is crucial as well, as it provides insights into participants’ confidence levels, perceptions of balance improvements, and overall satisfaction with the intervention. When combined with quantitative measures, this qualitative data offers a nuanced understanding of the intervention’s success. Specialized monitoring tools, potentially wearables, will be utilized to collect continuous movement data for physical enhancement assessment, while qualitative data will be gathered through user-friendly digital feedback forms to ensure accessibility for participants and caregivers (Bhat et al., 2021).

To analyze and evaluate the collected data, we will employ specialized software to ensure precision and efficiency. Data analytics platforms will be crucial in interpreting quantitative data, while qualitative data analysis tools will help derive patterns and insights from feedback. The cumulative findings from this evaluation plan will demonstrate the profound impact of our intervention on the target population, showcasing tangible improvements in fall prevention and positive shifts in participants’ confidence and overall well-being. Assumptions underpinning this plan include proactive participation from the elderly in feedback sessions, the reliability and accuracy of monitoring tools, and effective communication and collaboration among healthcare providers throughout the evaluation process.



Nurses have emerged as transformative agents within the healthcare landscape. In professional practice, they serve as frontline observers, often the first to identify care gaps and areas needing improvement. With their regular patient interactions, nurses possess a unique perspective, enabling them to lead changes directly impacting patient experiences. When integrating new care strategies, nurses ensure interventions are not only clinically sound but also aligned with patients’ holistic needs. In interprofessional teams, nurses play a crucial role as bridges, harmonizing diverse healthcare perspectives to ensure cohesive care experiences (Bhat et al., 2021). This collaboration forms the foundation of quality care, with each healthcare professional contributing to a unified care goal, informed by nurses’ insights. The core assumption is that nurses are equipped with current best practices and empowered to advocate for and implement necessary changes.

Impact of the Intervention on Nursing, Collaboration, and Healthcare

The proposed intervention elevates the role of nursing within geriatric care significantly. With an emphasis on personalized exercise regimens and continuous monitoring, nurses transition from passive caregivers to active health strategists (Nasir et al., 2023). This augmented role empowers nurses and necessitates heightened interprofessional collaboration. By facilitating regular interdisciplinary meetings, the intervention ensures effective utilization of various professionals’ expertise, such as therapists, nutritionists, and pharmacists. This collaboration fosters a shared knowledge culture, ensuring patients benefit from a multifaceted care approach.

Beyond immediate teams, the broader healthcare field stands to benefit. The intervention combines evidence-based care strategies with state-of-the-art technology, leading to enhanced patient outcomes and streamlined resource utilization, potentially yielding cost efficiencies. Moreover, by enabling early detection and intervention, the strategy could reduce long-term healthcare burdens in terms of costs and resources. The success blueprint of this intervention could be replicated across other care scenarios, raising healthcare standards industry-wide. However, challenges abound. The dynamics of collaboration among professionals, potential differing viewpoints, and the elderly’s receptiveness to technology are variables. The intervention’s success depends on continuous monitoring and flexibility to adapt based on real-time feedback (Sun et al., 2023).

Future Steps

While the current intervention addresses the unique needs of the geriatric population regarding fall prevention, there’s potential to amplify its impact. Establishing community outreach programs could sensitize more elderly individuals to the benefits of our program. Community health camps or workshops could offer hands-on training and real-time feedback, fostering proactive health management among the target group (Chen et al., 2022). The evolving technological landscape offers opportunities to enhance intervention effectiveness. Utilizing wearable technologies for monitoring vital signs and movement patterns can provide valuable health insights.

These devices can issue real-time alerts for potential falls or health irregularities. Integrating Artificial Intelligence (AI) tools can offer predictive insights based on historical health data, enabling timely interventions and personalized care plans. Patient safety remains paramount. Adopting emerging care models like telehealth consultations ensures consistent care, especially for those unable to attend physical sessions. Such platforms provide a secure avenue for the elderly to consult with healthcare professionals from home (Bloom et al., 2023).

Similarly, integrating mobile applications offering guided exercise sessions with safety precautions and real-time feedback can elevate intervention safety standards. These proposed enhancements operate under assumptions of elderly and caregiver receptiveness to technology, availability of financial and infrastructural resources, and inclusive care for all, regardless of tech proficiency (Chen et al., 2022).

Reflection on Leading Change and Improvement

This project has brought about significant professional and personal transformation. Delving into geriatric care and crafting a tailored intervention for fall prevention has deepened my understanding of the complexities involved. It has honed my skills in driving change and reinforced the importance of interdisciplinary collaboration. My leadership skills have been tested and refined, fostering a greater sense of responsibility and commitment to quality care. Looking ahead, I aim to integrate more evidence-based practices into geriatric care, ensuring interventions are rooted in proven methods. Furthermore, I recognize the importance of community involvement and will strive to strengthen these relationships, fostering a more collaborative approach to healthcare interventions. Continuous learning remains a priority, focusing on staying abreast of innovative technologies and emerging best practices.

Integration of Intervention Insights into Broader Practice

Insights from this intervention plan extend beyond its immediate context and hold value for other settings. The focus on both established methods and cutting-edge technology ensures the plan’s adaptability across various healthcare scenarios. This versatile approach, emphasizing individualized care backed by evidence-based practices and interprofessional teamwork, can serve as a template for interventions in diverse healthcare realms.

However, while the project highlights the advantages of technology-driven care, it’s crucial to consider alternative viewpoints. Some professionals may advocate for a more traditional approach, emphasizing the importance of human touch and intuition alongside technology. Ensuring individual autonomy while promoting structured interventions presents unique challenges in different settings. Recognizing these nuances ensures the intervention’s robustness while allowing for context-specific modifications.

NURS FPX 6030 Assessment 5 Evaluation Plan Design


Bhat, K. S., Jain, M., & Kumar, N. (2021). Infrastructuring telehealth in (In) formal patient-doctor contexts. Proceedings of the ACM on human-computer interaction, 5(CSCW2), 1–28.

Bloom, G., Balasubramaniam, P., Marin, A., Nelson, E., Quak, E., Husain, L., & Barker, T. (2023). Towards digital transformation for universal health coverage.

Chen, W., Flanagan, A., Nippak, P. M., Nicin, M., & Sinha, S. K. (2022). Understanding the experience of geriatric care professionals in using telemedicine to care for older patients in response to the COVID-19 pandemic: A mixed-methods study (Preprint). JMIR Aging.

Nasir, S., Khan, R. A., & Bai, S. (2023, August 31). Ethical framework for harnessing the power of AI in healthcare and beyond.

Sun, J., Dong, Q.-X., Wang, S.-W., Zheng, Y.-B., Liu, X.-X., Lu, T.-S., Yuan, K., Shi, J., Hu, B., Lu, L., & Han, Y. (2023). Artificial intelligence in psychiatry research, diagnosis, and therapy. Asian Journal of Psychiatry, 87, 103705.

NURS FPX 6030 Assessment 5 Evaluation Plan Design