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Dynamic Plus-Delta: an agile debriefing approach centred around variable participant, faculty and contextual factors
1Faculty of Life Sciences and Medicine, King's College London, London, UK. Ranjev.Kainth@nhs.net.
This study introduces the Dynamic Plus-Delta model for healthcare staff training during the COVID-19 pandemic. This simulation debriefing approach enhances rapid training by adapting to diverse needs and dynamic environments.
Area of Science:
- Medical Education
- Healthcare Simulation
- Intensive Care Medicine
Background:
- The COVID-19 pandemic required rapid expansion of intensive care units (ICUs) and urgent training for healthcare staff.
- Simulation-based training became crucial for preparing staff for critical care environments.
- Existing debriefing models needed adaptation to meet the unique demands of mass, rapid training.
Purpose of the Study:
- To describe the evolution and features of a novel debriefing model for simulation training.
- To address the challenges of training large numbers of healthcare staff rapidly in a dynamic ICU setting.
- To outline considerations for psychological safety within this training framework.
Main Methods:
- Development of the Dynamic Plus-Delta model, integrating traditional Plus-Delta with dynamic adjustments.
- Consideration of contextual factors: clinical demands, participant diversity, faculty experience, and time constraints.
- Focus on psychological safety within the debriefing process.
Main Results:
- The Dynamic Plus-Delta model offers a flexible and adaptive debriefing strategy.
- It effectively addresses the complexities of training diverse staff in high-demand, time-sensitive environments.
- Specific strategies for ensuring psychological safety were integrated.
Conclusions:
- The Dynamic Plus-Delta model provides a robust framework for simulation debriefing in rapid healthcare training.
- This approach is adaptable to similar settings requiring swift upskilling of personnel under varied conditions.
- Prioritizing psychological safety is essential for effective simulation-based learning in crisis situations.
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