Rapidly building surge capacity within a pandemic response using simulation-based clinical systems testing

Nichole R Davis; Cara B Doughty; Tarra Kerr; Gemma Elegores; Kasey I Davis; Brent D Kaziny

doi:10.1136/bmjstel-2020-000701

Rapidly building surge capacity within a pandemic response using simulation-based clinical systems testing

BMJ Simul Technol Enhanc Learn. 2020 Oct 6;7(5):304-310. doi: 10.1136/bmjstel-2020-000701. eCollection 2021.

Authors

Nichole R Davis¹, Cara B Doughty^{1

2}, Tarra Kerr³, Gemma Elegores², Kasey I Davis⁴, Brent D Kaziny^{1

5}

Affiliations

¹ Pediatric Emergency Medicine, Baylor College of Medicine Department of Pediatrics, Houston, Texas, USA.
² Simulation Center, Texas Children's Hospital, Houston, Texas, USA.
³ Section of Emergency Medicine, Texas Children's Hospital, Houston, Texas, USA.
⁴ Pediatric Critical Care, Baylor College of Medicine Department of Pediatrics, Houston, Texas, USA.
⁵ Emergency Management, Texas Children's Hospital, Houston, Texas, USA.

Abstract

Introduction: As the SARS-CoV-2 virus spread across the globe, hospitals around the USA began preparing for its arrival. Building on previous experience with alternative care sites (ACS) during surge events, Texas Children's Hospital (TCH) opted to redeploy their mobile paediatric emergency response teams. Simulation-based clinical systems testing (SbCST) uses simulation to test preoccupancy spaces and new processes. We developed rapid SbCST with social distancing for our deployed ACS, with collaboration between emergency management, paediatric emergency medicine and the simulation team.

Methods: A two-phased approach included an initial virtual tabletop activity followed by SbCST at each campus, conducted simultaneously in-person and virtually. These activities were completed while also respecting the need for social distancing amidst a pandemic response. Each activity's discussion was facilitated using Promoting Excellence and Reflective Learning in Simulation (PEARLS) for systems integration debriefing methodology and was followed by compilation of a failure mode and effects analysis (FMEA), which was then disseminated to campus leaders.

Results: Within a 2-week period, participants from 20 different departments identified 109 latent safety threats (LSTs) across the four activities, with 71 identified as being very high or high priority items. Very high and high priority threats were prioritised in mitigation efforts by hospital leadership.

Discussion: SbCST can be rapidly implemented to hone pandemic responses and identify LSTs. We used SbCST to allow for virtual participation and social distancing within a rapidly accelerated timeline. With prioritised FMEA reporting, leadership was able to mitigate concerns surrounding the four Ss of surge capacity: staff, stuff, structure and systems.

Keywords: Disaster simulation; Disaster triage; Emergency medicine; Paediatric simulation; Simulation in healthcare.