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- NURS 6052 Module 6 Assignment
Evidence-Based Change Proposal
Student Name
Walden University
NURS 6052
Professor Name
Submission Date
Slide 1
Hello everyone. Today, I will be presenting an Evidence-Based Change Proposal for Nurse Staffing Ratios, Krystle Keebler. This presentation emphasizes the importance of the nurse-to-patient ratio and how it can impact patient outcomes and nurse satisfaction.
Slide 2
Organizational Overview
Patient-centered care is a part of my healthcare organization’s culture and is a core value; I see collaboration and excellence in patient care. While the organization is broadly supportive of evidence-based practice, there are aspects that do need to be built up and engaged more to make the significant staff changes a reality (Assaye et al., 2020). We are willing to change how we do things in our organisation, but we need to be more equipped in relation to the implementation and sustainability of these evidence-based practices.
Slide 3
Is there a challenge or a chance to change that you are facing?
Providing a good quality of patient care is the most serious problem we are facing, a lack of sufficient nurse personnel, and that is a lot of stress on nurse personnel. This has become even more apparent during the COVID-19 pandemic, when healthcare providers have faced unprecedented stressors, and the need for staffing models that are resilient and adaptable has been emphasized (Lasater et al., 2021).
Several stakeholders are affected by this issue, including patients, nurses, administrators, and policy makers, who all have a role to play in developing and responding to policies for staffing. But, change has some risks: One might be a resistance to redirecting resources, and another might be that there are people who aren’t very enthusiastic about changing what they do. Nonetheless, these modifications are crucial to provide quality care and job satisfaction among nurses (Qureshi et al., 2021).
Slide 4
Evidence-Based Change Proposal
To address this staffing requirement, I would like to propose setting evidence-based ratios of the number of nurses to patients according to the type of care given. The results of the study indicate that reducing the adverse events and improving nurse job satisfaction will be the most effective ways to improve staffing efficiency (Almenyan et al., 2021). The simulation models are helpful to determine the appropriate ratios for each department based on patient acuity, nurse workload, and more.
Slide 5
Knowledge Transfer Plan
The stages of my knowledge transfer plan for the successful adoption and long-lasting change are:
- Creation: Building a chain of nurse staffing ratios, based on the latest research.
Dissemination these protocols will be shared in the workshops and training sessions, making sure that staff have the skills and knowledge to implement the new ratios effectively.
- Implementation: We will begin in intensive care units (ICUs) and will extend the implementation based on our observations and practical experience of improvements in patient care and nurse satisfaction (Assaye et al., 2020). This will allow us to gauge success in high-impact areas first and then on a broader organizational rollout.
Slide 6
Dissemination of Results
We will make sure to report findings from this change, both internally and externally, to ensure a wide understanding of the change. Staff will be kept up to date and involved through the sharing of reports internally. We will share our results with other health care providers beyond our setting through external forums to inspire others to make similar changes and to seek their assistance to encourage policy-makers. This is a two-pronged strategy to achieve both internal alignment and external support, both of which are key to securing lasting and meaningful change.
Slide 7
Measurable Outcomes
The net expected results of this proposal would be:
- Patient safety and satisfaction are enhanced through quality patient care.
- Reduced adverse events, including patient falls, which can be attributed to improved staffing ratios (Qureshi et al., 2021). These outcomes will be used to develop a safer and more supportive environment for patients and staff.
Slide 8
This activity is a summary of the critical appraisal of the learning from the lesson.
I examined a range of healthcare settings (ICU and non-ICU) and a range of settings (low and middle-income countries and pandemic settings) in looking at multiple studies.
Strengths: Both Assaye et al. (2020) and Qureshi et al. (2021) carried out systematic reviews and simulation models, and their data were appropriate for policy decisions. Almenyan et al. (2021) added to the depth by conducting real-time cohort studies in ICUs and examining the relationship between manageable workloads and quality care.
Limitations: Although the findings of simulation-based predictions may not always be reproducible in actual practice, some research studies (e.g., in ICUs) might not be generalizable to other healthcare settings (Qureshi et al., 2021; Almenyan et al., 2021).
Slide 9
This is an Evaluation Table to record Lessons Learned during the evaluation.
The Evaluation Table ensured systematic review and comparison of methodologies, levels of evidence, and study results.
Evidence Levels and Reliability: Studies were categorized by evidence level (I, II, III) to ensure that the highest level of evidence was applied in prioritising and enhancing confidence in decision-making.
Clarifying Variables: Making sure there was a separation between patient outcomes (dependent variables) and staffing ratios (independent variables) led to the measurement of the staffing changes’ effect. Clarifying Variables: Separation of dependent (patient outcomes) and independent (staffing ratios) variables aided in the measurement of the measurable effect of staffing changes.
Practice Impact: I have found through this systematic approach that I can find good studies that relate to real practice situations, especially as it relates to my actual practice of staffing and how it relates to the safety of patients and quality of care.
Slide 10
Conclusion
Therefore, there is great potential that implementing evidence-based staffing ratios can greatly impact patient care and help reduce nurse burnout. Such practices will create a viable option that will improve patient safety and enhance the satisfaction of the nurse. Ongoing review and revision of these staffing ratios will ensure that we are able to respond appropriately to the changing needs of healthcare and that our staffing policy is effective. The ongoing evaluation and support for the use of evidence-based practices can help continue to move the healthcare industry forward in a positive direction in relation to outcomes for patients and providers.
References
Assaye, A. M., Wiechula, R., Schultz, T. J., & Feo, R. (2020). JBI Evidence Synthesis, Publish Ahead of Print(4), 751–793. https://doi.org/10.11124/jbisrir-d-19-00426
Almenyan, A. A., Albuduh, A., & Al-Abbas, F. (2021). Effect of nursing workload in intensive care units. Cureus, 13(1). https://doi.org/10.7759/cureus.12674
Lasater, K. B., Aiken, L. H., Sloane, D. M., French, R., Martin, B., Reneau, K., Alexander, M., & McHugh, M. D. (2021). BMJ Quality & Safety, 30(8), 1–9. https://doi.org/10.1136/bmjqs-2020-011512
Qureshi, S. M., Purdy, N., Mohani, A., & Neumann, W. P. (2021). Journal of Nursing Management, 27(5), 971–980. https://doi.org/10.1111/jonm.12757
