Problem: Our aim was to improve care and outcomes for our older population by implementing an evidence-based Age – Friendly 4 Ms framework. Patient falls was a concern for this unit, so we were looking at reducing patient falls, and improving the percentile ranking for Likelihood to Recommend.
Measurement: The electronic medical record was utilized to collect data from documentation of interventions, along with audits of documentation on the patient white boards. Data was displayed in run charts with monthly data compared to the baseline period. A dashboard was created and shared with unit leadership and staff.
Analysis: The mean and the percentile rank were used for the Likelihood to Recommend. The mean and the percentile rank were used to determine the overall trend of this measure. For patient fall data (absolute number), we looked at each individual patient fall as compared to the baseline data.
Implementation: When we started this improvement journey we were in the middle of our second wave of COVID-19. We implemented the 4 Ms Model (mobility, medication, mentations, and what matters). The 4 Ms Framework is an evidence-based model that is available to implement across the continuum of care.
Results/Discussion: 300+ days without a patient fall. Likelihood to recommend for patients 65+ improved from a mean of 91.9 to 93.4 and percentile rank from 79 to 85.8. AHA Action Community for Age-Friendly and IHI Model for Improvement contributed to success. Sharing data and dashboard keep staff engaged.