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NURS FPX 6030 Assessment 5 Evaluation Plan Design

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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

    Date

    Evaluation Plan Design

    In our ongoing journey to enhance geriatric care, we identified the pivotal issue of unintentional falls among older people, which significantly jeopardizes their overall health and well-being. To address this pressing concern, our planned intervention focused on introducing tailored exercise regimens to enhance physical strength and stability among senior citizens. This initiative, seamlessly integrated with wearable technology, would monitor their progress in real-time, allowing for immediate feedback and adjustments. By collaborating closely with interdisciplinary healthcare teams, the intention was to ensure that this intervention mitigates the risk of falls and holistically improves the quality of life for our elderly population.

    Evaluation of Plan

    Defining the Outcomes of the Intervention Plan

    The primary objective of the intervention plan is to significantly reduce the incidence of falls among the elderly population in community settings. This goal has been framed around a multifaceted strategy encompassing personalized exercise regimens, targeted strength training, and structured balance training sessions tailored for the geriatric community (Nasir et al., 2023). The expected outcomes of this intervention signify its overarching purpose. By enhancing physical strength and stability among older people, we aim to instill a heightened sense of confidence during their daily activities, ultimately mitigating the risk of unintentional falls.

    Furthermore, the emphasis on personalizing exercise routines ensures greater engagement and adherence. This individual-centric approach acknowledges the unique health profiles of each participant and works towards their holistic health and well-being improvement.However, like all interventions, there are potential challenges and limitations. One significant challenge is the necessity for consistent participation and unwavering commitment from the elderly participants. Given the diverse health conditions and physical capacities among them, outcomes might vary from one individual to another. This variation could be due to inherent physiological differences or varying adherence to the proposed routines.

    NURS FPX 6030 Assessment 5 Evaluation Plan Design

    Additionally, introducing new exercise regimes and training modules might be met with initial resistance, especially if they deviate significantly from an individual’s routine activities or seem too demanding. To frame it in the broader context of healthcare improvement, these outcomes establish a concrete framework aiming for a marked enhancement in the quality, safety, and overall care experience for the elderly. The design of the intervention, built on evidence-based practices and empirical research, strives to address the immediate concern of falls and uplift the general health paradigm for the geriatric community in community settings.

    Designing the Evaluation Plan for the Intervention

    To determine the impact of our intervention focused on health promotion, quality improvement, and fall prevention among the geriatric community, we have crafted a comprehensive evaluation plan. The essence of this evaluation hinges on both quantitative and qualitative measures to gauge the effectiveness of our intervention holistically. We will first measure the tangible outcomes by tracking the number of fall incidences. This data will then be compared against a baseline established before the initiation of the intervention to discern tangible improvements. To evaluate the physical enhancements the intervention brings, we will monitor the advancements in participants’ physical strength and balance. This will be done by conducting periodic assessments and contrasting the results against preset benchmarks, ensuring systematic progress tracking.

    Qualitative feedback becomes pivotal because numbers alone do not capture the entirety of an intervention’s impact. Organizing feedback sessions will serve a dual purpose; they will provide insights into the participants’ confidence levels and their perceptions about balance improvements and shed light on their overall satisfaction with the intervention. When juxtaposed with the quantitative measures, this qualitative data will provide a nuanced understanding of the intervention’s success. We will use specialized monitoring tools, potentially wearables, to collect continuous movement data for physical enhancement assessment. Qualitative data will be gathered through user-friendly digital feedback forms, ensuring accessibility for participants and caregivers (Bhat et al., 2021).

    NURS FPX 6030 Assessment 5 Evaluation Plan Design

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

    Discussion

    Advocacy

    Nurses have undeniably become agents of transformative change within the healthcare landscape. In the context of professional practice, they are the frontline observers, often the first to recognize gaps in care and areas that require improvement. Under their regular interactions with patients, nurses possess a unique vantage point, allowing them to spearhead changes that directly impact patient experience. When integrating new care strategies, the nurse often ensures that the interventions are not only clinically apt but also resonate with a patient’s holistic needs. In interprofessional teams, the role of a nurse becomes even more paramount.

    They serve as a bridge, harmonizing varied healthcare perspectives to ensure the patient receives a cohesive care experience (Bhat et al., 2021). This collaboration becomes the bedrock of quality care, where each healthcare professional, informed by the nurse’s insights, contributes towards a unified care goal. The core assumption is that nurses are well-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 significantly elevates the stature of nursing within geriatric care. As the intervention emphasizes personalized exercise regimens and constant monitoring, nurses transition from passive caregivers to active health strategists (Nasir et al., 2023). This role augmentation empowers nurses and necessitates a heightened level of interprofessional collaboration. By facilitating regular interdisciplinary meetings, the intervention ensures that the expertise of various professionals, such as therapists, nutritionists, and pharmacists, is harnessed effectively. This collaboration fosters a shared knowledge culture, ensuring that the patient benefits from a multifaceted care approach.

    Beyond the immediate team, the broader healthcare field also stands to gain. With this intervention, a promising amalgamation of evidence-based care strategies with state-of-the-art technology exists. This confluence ensures enhanced patient outcomes and streamlines resource utilization, leading to potential cost efficiencies. By ensuring early detection and intervention, the strategy could potentially reduce long-term healthcare burdens in terms of costs and resources. #

    #Moreover, the success blueprint of this intervention can be replicated across other care scenarios, raising the bar of healthcare standards industry-wide. However, the journey is full of challenges. The exact dynamics of collaboration among professionals, potential differing viewpoints, and the extent of tech-receptiveness among the elderly are variables. The intervention’s success hinges on continuous monitoring and flexibility to adapt based on real-time feedback (Sun et al., 2023).

    Future Steps

    While the current intervention has been tailored to address the unique needs of the geriatric population concerning fall prevention, there is potential to magnify its impact. By establishing community outreach programs, we could sensitize more elderly individuals about the benefits of our program. Periodic community health camps or workshops could offer hands-on training and real-time feedback, thus fostering a proactive health management approach among the target group (Chen et al., 2022). The ever-evolving technological landscape offers avenues to enhance the effectiveness of our intervention.

    Utilizing cutting-edge wearable technologies for monitoring vital signs and movement patterns can provide valuable insights into the health of the elderly. These devices can be configured to issue real-time alerts for potential falls or significant health irregularities. Furthermore, integrating Artificial Intelligence (AI) tools can provide predictive insights based on historical health data, allowing for timely interventions and personalized care plans.  Patient safety remains paramount. Adapting to emerging care models like telehealth consultations, especially for those unable to attend physical sessions, can ensure consistent care. Such platforms provide a secure avenue for the elderly to consult with healthcare professionals from the comfort of their homes (Bloom et al., 2023).

    NURS FPX 6030 Assessment 5 Evaluation Plan Design

    Similarly, integrating mobile applications that offer guided exercise sessions, complete with safety precautions and real-time feedback mechanisms, can elevate the safety standards of the intervention. The proposed enhancements operate under a few assumptions. Firstly, the elderly community and their caregivers are receptive to and comfortable with the proposed technological advancements. Secondly, financial and infrastructural resources will be available to support the expanded scope and tech integrations. Lastly, there is an assumption that while the intervention is enriched with technology, it does not alienate those not well-versed with tech, ensuring inclusive care for all (Chen et al., 2022).

    Reflection on Leading Change and Improvement

    Throughout this project’s journey, I have undergone significant transformation both professionally and personally. The in-depth exploration of geriatric care and crafting a tailored intervention for fall prevention has given me a profound understanding of the complexities embedded in such an endeavor. It has honed my capabilities in championing change and reinforced the importance of collaboration across various healthcare disciplines.

    My leadership skills have been challenged and sharpened, fostering a greater sense of responsibility and commitment to quality care. Looking to the future, I aim to integrate more evidence-based practices into geriatric care, ensuring that every intervention I lead or participate in is rooted in concrete, proven methods. Furthermore, I recognize the imperative of community involvement and will endeavor to strengthen these relationships, ensuring a more collaborative and cohesive approach to healthcare interventions. Continuous learning remains at the forefront of my goals, focusing on keeping abreast of innovative technologies and emerging best practices.

    Integration of Intervention Insights into Broader Practice

    The insights derived from this intervention plan transcend its immediate context and carry immense value for other settings. The dual focus on time-tested methods and cutting-edge technology ensures the plan’s adaptability across various healthcare scenarios. Such a versatile approach, emphasizing individualized care backed by evidence-based practices and robust interprofessional teamwork, can serve as a template for interventions in varied healthcare realms. However, while the project underscores the advantages of technology-driven care, it is crucial to recognize and consider alternative viewpoints.

    Some professionals might advocate for a predominantly traditional approach, stressing that while technology has its merits, human touch and intuition remain paramount. Furthermore, ensuring individual autonomy while promoting structured interventions can present unique challenges in different settings. Every environment has its distinct dynamics, and while the essence of the intervention can be replicated, the nuances will need careful recalibration. This recognition ensures that while the project is a robust foundation, an intrinsic flexibility allows context-specific modifications.

    References

    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. https://doi.org/10.1145/3476064

    Bloom, G., Balasubramaniam, P., Marin, A., Nelson, E., Quak, E., Husain, L., & Barker, T. (2023). Towards digital transformation for universal health coverage. https://doi.org/10.19088/CC.2023.005

    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. https://doi.org/10.2196/34952

    NURS FPX 6030 Assessment 5 Evaluation Plan Design

    Nasir, S., Khan, R. A., & Bai, S. (2023, August 31). Ethical framework for harnessing the power of AI in healthcare and beyond. https://doi.org/10.48550/arXiv.2309.00064

    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. https://doi.org/10.1016/j.ajp.2023.103705