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Evaluating the Effects of a Pressure Injury Prevention Algorithm
1Tuba Yilmazer, PhD, RN, is an instructor, Department of Nursing, Faculty of Health Sciences, Ankara Yildirim Beyazit University, Ankara, Turkey. Hulya Bulut, PhD, RN, is a professor, Faculty of Nursing, Gazi University, Ankara, Turkey. The authors have disclosed no financial relationships related to this article. Submitted January 8, 2018; accepted in revised form July 17, 2018.
A new pressure injury prevention algorithm significantly reduced patient pressure injury rates in the ICU. This evidence-based algorithm, combined with nursing education, offers a promising approach to improving patient outcomes and reducing healthcare complications.
Area of Science:
- Critical Care Medicine
- Nursing Science
- Patient Safety Research
Background:
- Pressure injuries represent a significant complication in intensive care units (ICUs).
- Effective prevention strategies are crucial for improving patient outcomes and reducing healthcare costs.
- Existing prevention methods require continuous evaluation and enhancement.
Purpose of the Study:
- To assess the impact of a novel pressure injury prevention algorithm on incidence rates.
- To evaluate the effectiveness of an algorithm-based intervention in an anesthesiology and reanimation ICU (ARICU).
- To determine if combining nursing education with an algorithm improves pressure injury prevention.
Main Methods:
- An intervention study was conducted in a university hospital's ARICU.
- A pressure injury prevention algorithm was developed and implemented over two periods (pre- and post-intervention).
- Nurses received education on the algorithm; patient data (n=154) were collected and analyzed.
Main Results:
- Pressure injury incidence decreased from 46.10 to 9.21 per 1,000 patient-days.
- This reduction was statistically significant (P < .001).
- The implemented algorithm demonstrated a substantial positive effect on pressure injury rates.
Conclusions:
- The evidence-based pressure injury prevention algorithm, coupled with nursing education, effectively reduced pressure injury incidence.
- The findings support the algorithm's utility in critical care settings.
- Further research is recommended to validate the algorithm across diverse patient populations and ICUs.
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