Just-in-Time In Situ Simulation Training as a Preparedness Measure for the Perioperative Care of COVID-19 Patients.

INTRODUCTION: Routine workflows were redesigned during the first surge of the COVID-19 pandemic to standardize perioperative management of patients and minimize the risk of viral exposure and transmission to staff members. Just-in-time (JIT), in situ simulation training was adopted to implement urgent change, the value of which in a public health crisis has not previously been explored. METHODS: Implementation of workflow changes in the setting of the COVID-19 pandemic was accomplished through JIT, in situ simulation training, delivered over a period of 3 weeks to participants from anesthesia, nursing, and surgery, within our healthcare network. The perceived value of this training method was assessed using a postsimulation training survey, composed of Likert scale assessments and free-text responses. The impact on change in practice was assessed by measuring compliance with new COVID-19 workflows for cases of confirmed or suspected COVID-19 managed in the operating room, between March and August 2020. RESULTS: Postsimulation survey responses collected from 110 of 428 participants (25.7%) demonstrated significant positive shifts along the Likert scale on perceived knowledge of new workflow processes, comfort in adopting them in practice and probability that training would have an impact on future practice (all Ps < 0.001). Free-text responses reflected appreciation for the training being timely, hands-on, and interprofessional. Compliance with new COVID workflows protocols in practice was 95% (121 of 127 cases) and was associated with lower than expected healthcare worker test positive rates (<1%) within the network during this same period. CONCLUSIONS: These findings support JIT, in situ simulation training as a preparedness measure for the perioperative care of COVID-19 patients and demonstrate the value of this approach during public health crises.

Rapid Cycle Implementation and Retrospective Evaluation of a SARS-CoV-2 Checklist in Labor and Delivery.

BACKGROUND: Preparedness efforts for a COVID-19 outbreak required redesign and implementation of a perioperative workflow for the management of obstetric patients. In this report we describe factors which influenced rapid cycle implementation of a novel comprehensive checklist for the perioperative care of the COVID-19 parturient. METHODS: Within our labour and delivery unit, implementation of a novel checklist for the COVID-19 parturient requiring perioperative care was accomplished through rapid cycling, debriefing and on-site walkthroughs. Post-implementation, consistent use of the checklist was reported for all obstetric COVID-19 perioperative cases (100% workflow checklist utilization). Retrospective analysis of the factors influencing implementation was performed using a group deliberation approach, mapped against the Consolidated Framework for Implementation Research (CFIR). RESULTS: Analysis of factors influencing implementation using CFIR revealed domains of process implementation and innovation characteristics as overwhelming facilitators for success. Constructs within the outer setting, inner setting, and characteristic of individuals (external pressures, baseline culture, and personal attributes) were perceived to act as early barriers. Constructs such as communication culture and learning climate, shifted in influence over time. CONCLUSION: We describe the influential factors of implementing a novel comprehensive obstetric workflow for care of the COVID-19 perioperative parturient during the first surge of the pandemic using the CFIR framework. Early workflow adoption was facilitated primarily by two domains, namely thoughtful innovation design and careful implementation planning in the setting of a long-standing culture of improvement. Factors initially assessed as barriers such as communication, culture and learning climate, transitioned into facilitators once a perceived benefit was experienced by healthcare teams. These results provide important information for the implementation of rapid change during a time of crisis.

Adaptation of an Obstetric Anesthesia Service for the Severe Acute Respiratory Syndrome Coronavirus-2 Pandemic: Description of Checklists, Workflows, and Development Tools.

BACKGROUND: Care of the pregnant patient during the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) pandemic presents many challenges, including creating parallel workflows for infected and noninfected patients, minimizing waste of materials, and ensuring that clinicians can seamlessly transition between types of anesthesia. The exponential community spread of disease limited the time for development and training. METHODS: The goals of our workflow and process development were to maximize safety for staff and patients, minimize the risk of contamination, and reduce the waste of unused supplies and materials. We used a cyclical improvement system and the plus/delta debriefing method to rapidly develop workflows consisting of sequential checklists and procedure-specific packs. RESULTS: We designed independent workflows for labor analgesia, neuraxial anesthesia for cesarean delivery, conversion of labor analgesia to cesarean anesthesia, and general anesthesia. In addition, we created procedure-specific material packs to optimize supplies and prevent wastage. Finally, we generated sequential checklists to allow staff to perform standard operating procedures without extensive training. CONCLUSIONS: Collectively, these workflows and tools allowed our staff to urgently care for patients in high-risk situations without prior experience. Over time, we refined the workflows using a cyclical improvement system. We present our checklists and workflows as well as the system we used for their development, so that others may use them to their benefit.

Development of Rapid Response Capabilities in a Large COVID-19 Alternate Care Site Using Failure Modes and Effect Analysis with In Situ Simulation.

Preparedness measures for the anticipated surge of coronavirus disease 2019 (COVID-19) cases within eastern Massachusetts included the establishment of alternate care sites (field hospitals). Boston Hope hospital was set up within the Boston Convention and Exhibition Center to provide low-acuity care for COVID-19 patients and to support local healthcare systems. However, early recognition of the need to provide higher levels of care, or critical care for the potential deterioration of patients recovering from COVID-19, prompted the development of a hybrid acute care-intensive care unit. We describe our experience of implementing rapid response capabilities of this innovative ad hoc unit. Combining quality improvement tools for hazards detection and testing through in situ simulation successfully identified several operational hurdles. Through rapid continuous analysis and iterative change, we implemented appropriate mitigation strategies and established rapid response and rescue capabilities. This study provides a framework for future planning of high-acuity services within a unique field hospital setting.