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Published on: June 11, 2012
Implementing a Diabetic Algorithm for Ophthalmology Surgery Patients: A Quality Improvement Initiative
Simrenjeet Sandhu1, Aleena Virani2, Hilary Salmonson1
1Department of Ophthalmology and Visual Sciences, University of Alberta, Edmonton, AB, Canada.
Introduction:
The objective of this quality improvement, interventional study regarding patients with diabetes undergoing diabetic ophthalmology outpatient surgery aimed to develop, implement, and evaluate a new diabetic algorithm to improve safety, operating room efficiency, and decrease supply cost.
Methods:
A multidisciplinary study team was assembled, including ophthalmologists, endocrinologists, anesthesiologists, management, and nurses to review the current diabetic protocol. From August 2016 to July 2017, 13 patient safety concerns or incident reports were reviewed that identified two serious cases of hypoglycemia. Using the concerns data, frontline perspectives, and reviewing best practice guidelines, a new diabetic algorithm was developed and trialed for 24 months. The new algorithm limited the use of an existing preoperative insulin protocol and reduced the number of nurses required. The number of adverse events, nursing setup process steps, setup time, and preoperative insulin infusion protocols used were collected. An evaluation of the supply costs was performed.
Results:
After implementing the new diabetic algorithm, zero safety incidents were reported, and a 97.5% reduction in the use of preoperative insulin protocol resulted. Nursing staff perceived that the new diabetic algorithm was easier to configure, 23 minutes faster to set up, and required one nursing staff member. Supply cost was reduced by $30.63 (Canadian Dollars, CAD) per patient.
Conclusion:
Perioperative glucose irregularities may threaten patient safety and surgical outcomes. Healthcare professionals must improve patient safety, decrease healthcare expenditure, and prevent unnecessary delays. Multidisciplinary frontline staff experiential knowledge aided in the recognition of potential problems and comprehensive solutions to optimize patient care.
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