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1.
Aust Crit Care ; 2023 Aug 01.
Artigo em Inglês | MEDLINE | ID: mdl-37537123

RESUMO

BACKGROUND: Intensive care unit (ICU) nurses are exposed to critical incidents daily at their workplace, which may have long-term physical and psychological impacts. Despite the growing evidence supporting clinical debriefing in health care to prevent these impacts, a scarcity of literature exists to support its use in the adult intensive care setting. OBJECTIVES: The objective of this study was to explore nurses' perceptions of clinical debriefing after critical incidents in an adult ICU. METHODS: A qualitative descriptive design was utilised. Thematic analysis of data from individual semistructured interviews with six ICU nurses was undertaken. FINDINGS: In this study, two themes were identified. Firstly, participants valued hot debriefing after critical incidents for the key reasons of having an opportunity to reflect on and learn from a critical incident and reduce normalisation of stressful situations. Secondly, when logistical factors such as communication, timing, and location were not considered, the attendance at debriefings was negatively influenced. Participants identified that ICU nurses commonly prioritised patient tasks over attending a debrief; therefore, teamwork and flexibility with logistics was crucial. CONCLUSIONS: Hot debriefing, of a short duration and close to the time of the event, was valued and played an important role in staff wellbeing and self-care, contributing to preventing self-blame and normalisation of stressful situations. A clearer definition of the term along with greater recognition of types of events that could be considered critical incidents is required for staff support after critical incidents in the complex intensive care setting.

2.
Adv Simul (Lond) ; 6(1): 6, 2021 Mar 04.
Artigo em Inglês | MEDLINE | ID: mdl-33663603

RESUMO

This article describes an operational framework for implementing translational simulation in everyday practice. The framework, based on an input-process-output model, is developed from a critical review of the existing translational simulation literature and the collective experience of the authors' affiliated translational simulation services. The article describes how translational simulation may be used to explore work environments and/or people in them, improve quality through targeted interventions focused on clinical performance/patient outcomes, and be used to design and test planned infrastructure or interventions. Representative case vignettes are used to show how the framework can be applied to real world healthcare problems, including clinical space testing, process development, and culture. Finally, future directions for translational simulation are discussed. As such, the article provides a road map for practitioners who seek to address health service outcomes using translational simulation.

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