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Published on: January 30, 2020
Validation of a Simulation-Based Resuscitation Curriculum for Maternal Cardiac Arrest
Andrea D Shields1, Jacqueline Vidosh, Brook A Thomson
1University of Connecticut Health Center, Farmington, Connecticut; the Uniformed Services University of the Health Sciences and the University of Texas Health Science Center, and Baylor College of Medicine, CHRISTUS Children's, San Antonio, the Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, the Centre for Emergency Health Sciences, Spring Branch, and the Driscoll Children's Hospital, Corpus Christi, Texas; HonorHealth, Scottsdale, Arizona; the Uniformed Services University of the Health Sciences, Bethesda, Maryland; the MedStar Institute for Innovation, Simulation Training and Education Lab, MedStar Health, Washington, DC; the University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania; and the Spokane Fire Department, Spokane, Washington.
Objective:
To assess the knowledge, skills, and self-efficacy of health care participants completing a simulation-based blended learning training curriculum on managing maternal medical emergencies and maternal cardiac arrest (Obstetric Life Support).
Methods:
A formative assessment of the Obstetric Life Support curriculum was performed with a prehospital cohort comprising emergency medical services professionals and a hospital-based cohort comprising health care professionals who work primarily in hospital or urgent care settings and respond to maternal medical emergencies. The training consisted of self-guided precourse work and an instructor-led simulation course using a customized low-fidelity simulator. Baseline and postcourse assessments included multiple-choice cognitive test, self-efficacy questionnaire, and graded Megacode assessment of the team leader. Megacode scores and pass rates were analyzed descriptively. Pre- and post-self-confidence assessments were compared with an exact binomial test, and cognitive scores were compared with generalized linear mixed models.
Results:
The training was offered to 88 participants between December 2019 and November 2021. Eighty-five participants consented to participation; 77 participants completed the training over eight sessions. At baseline, fewer than half of participants were able to achieve a passing score on the cognitive assessment as determined by the expert panel. After the course, mean cognitive assessment scores improved by 13 points, from 69.4% at baseline to 82.4% after the course (95% CI 10.9-15.1, P <.001). Megacode scores averaged 90.7±6.4%. The Megacode pass rate was 96.1%. There were significant improvements in participant self-efficacy, and the majority of participants (92.6%) agreed or strongly agreed that the course met its educational objectives.
Conclusion:
After completing a simulation-based blended learning program focused on managing maternal cardiac arrest using a customized low-fidelity simulator, most participants achieved a defensible passing Megacode score and significantly improved their knowledge, skills, and self-efficacy.
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