A quality improvement initiative to increase adult ECMO decision-making abilities in a perfusion education program: The use of 3D ECMO simulation

Abstract

Introduction

Adult and pediatric ECMO procedures have been increasingly established as conventional life-saving modalities in critical care services across the world. Since 2017, a multidisciplinary team of program advisors for our perfusion education program have aimed to increase cardiovascular perfusion (CVP) student ECMO exposure and improve clinical decision-making. In this QI intervention, the use of 3D computer-based simulation was assessed in establishing a standardized process to improve the diagnosis and treatment of adult ECMO complications among first year CVP students.

Methods

The Califia 3D Patient Simulator was incorporated into the curriculum for first year CVP students (n = 26) along with traditional lecture for the adult ECMO complication laboratory session. Pre-class knowledge assessments using de-identified polling software were compared to post-class assessments following the first assigned learning activity. Assessments from students that received simulation before lecture (SIM, n = 15) were compared to students receiving lecture before simulation (LEC, n = 11). User experience questionnaires (UEQ) consisting of 26 questions for six scales of simulation instruction were administered to measure the comprehensive impression of the student experience.

Results

Overall median [IQR] pre- and -post knowledge assessment scores were 74% [11] and 84% [11], respectively (p = 0.01). There were no significant differences in pre-class assessment scores between the SIM and LEC groups (74.0% and 74.0%, respectively, p = 0.959). The LEC group achieved higher median post-assessment scores than the SIM group (84% vs 79%, p = 0.032). Among the 26 UEQ survey scales, 23 were positively evaluated (>0.8), and three were a neutral evaluation (−0.8 to 0.8). Cronbach Alpha-Coefficients of >0.78 were measured for attractiveness, perspicuity, efficacy, and stimulation. The coefficient for dependability was 0.37. 25 (96.2%) students indicated that 3D simulation was beneficial to improving ECMO clinical decision-making.

Conclusions

In this QI intervention, the implementation of computer-based 3D simulation following lecture was perceived by learners to help improve the diagnosis and treatment of ECMO-related complications.