2022 MeRIT Primer Participants – Completed Research
Sunday, November 12, 2023
12:45 PM–02:15 PM
Abstract
Introduction:
Excessive workload for technicians in sterile compounding can impact patient safety and result in repetitive strain injuries and mental burnout for technicians. The variability of compounded dose procedures and complexity has prevented development of workload standards for sterile compounding technicians.
Research Question or Hypothesis:
What variables of dose compounding procedures and complexity are associated with compounding time and may be used to develop a predictive model?
Study Design:
Sterile compounding observational data for adult patients (September 2022-December 2022) using an IV workflow management system (IV WFMS) from a large academic health system of six hospitals (100–1,000 beds) and eleven outpatient infusion centers.
Methods:
Variables of dose compounding procedures and complexity (e.g., number of vials/ampules per dose, need for reconstitution, volume transfer, final volume, final container, batching, high-risk status, stat urgency, and facility size/setting) and compounding time (i.e., time from first manipulation to completed dose) were collected. The association of dose compounding procedures and complexity with compounding time were explored and summarized. Variables found to be associated with sterile compounding time were then used to develop a preliminary model to predict compounding time.
Results:
Data analysis includes 114,753 total doses compounded (36,241 stock doses; 78,512 patient-specific dose). Variables of dose compounding procedures and complexity associated with compounding time include: number of vials, whether the dose was a stock dose or made as part of a batch, total volume, size/type of facility (i.e., bed number and inpatient vs. outpatient), first dose, dose difficulty, transfer volume and risk level. A preliminary regression model suggested that these variables explained 60% of the overall variation in sterile compounding time.
Conclusion:
Several variables of dose compounding procedures and complexity were associated with compounding time. A preliminary predictive model for sterile compounding time has been developed. Hospitals and other healthcare facilities can utilize this model to better understand the workload of sterile compounding technicians.
Presenting Author
Sister Michaela Serpa PharmD, BCPSHigh Point University
Authors
Changfei Luan MS
University of North Carolina at Greensboro
Justin Fugal PharmD, BCPS
Yale New Haven Health
Scott J. Richter PhD
University of North Carolina at Greensboro
Margie Snyder PharmD, MPH, FCCP, FAPhA
Purdue University College of Pharmacy