Enhancing the Sustainability of EBP Initiatives
Expectations
Initial Post:
• Length: A minimum of 250 words, not including references
• Citations: At least one high-level scholarly reference in APA format from within the last 5 years
The Maryhill Nursing Home has had a total of 27 reported falls and near misses within the last six months. Most of the reported falls and near misses are mostly related to old patients and frail patients. Dr. Morrison, the facility’s chief risk officer, developed an evidence-based initiative for fall prevention that focused on identifying the underlying risk factors and the deployment of assistive walking measures such as rails on the wall and gait monitoring anklets. Within six months after the fall prevention program was implemented, the number of reported falls and near misses was only 6. This presented a 78 percent decrease in the number of fall incidents within the nursing home. This shows that the EBP initiative for fall prevention was a success. The installation of the wall rails and the monitoring devices was successful as it provided support to the elderly frail patients as they walked about and notified the nurses before a fall. Notably, interconnected monitoring technologies for older adults in their daily activities have been found to improve risk assessments with successful fall prevention (Hasan Sapci & Aylin Sapci, 2019). The overall program was also found to be sustainable as it only required to be installed once and only had a few maintenance requirements, which were met with the facility’s miscellaneous budget.
The Change Curve Model is a model of organizational change that I would use to advance the nursing role and enhance the sustainability of the EBP initiative. Firstly, it defines change as an emotional process, and that change needs to develop from an individual level (Melnyk & Fineout-Overholt, 2018). This model can help overcome the resistance to change due to denial and encourage the people involved to be committed to enabling the change.
Hasan Sapci, A., & Aylin Sapci, H. (2019). Innovative assisted living tools, remote monitoring technologies, artificial intelligence-driven solutions, and robotic systems for aging societies: Systematic review. In JMIR Aging (Vol. 2, Issue 2). https://doi.org/10.2196/15429
Melnyk, B. M., & Fineout-Overholt, E. (2018). Evidence-based practice in nursing & healthcare: A guide to best practice (4th ed.). Philadelphia, PA: Wolters Kluwer.