Journal article
Doing the Right Thing at the Right Time: Assessing Responses to Patient Deterioration in Electronic Simulation Scenarios Using Course-of-Action Analysis
Computers, Informatics, Nursing, Vol.33(5), pp.199-207
2015
Abstract
International studies indicate that the recognition and management of deteriorating patients in hospitals are poor and that patient assessment is often inadequate. Face-To-face simulation programs have been shown to have an impact on educational and clinical outcomes; however, little is known about performance in contemporary healthcare e-simulation approaches. Using data from an open-Access Web-based patient deterioration program (FIRST2ACTWeb), the performance of 367 Australian nursing students in identification of treatment priorities and clinical actions was analyzed using a military model of Course of Action Simulation Analysis. Participants' performance in the whole program demonstrated a significant improvement in knowledge and skills (P ≤.001) with high levels of participant satisfaction. Course of Action Simulation Analysis modeling identified three key participant groupings within which only 18% took the "best course of action" (the right actions and timing), with most (70%) completing the right actions but in the wrong order. The remaining 12% produced incomplete assessments and actions in an incorrect sequence. Contemporary approaches such as e-simulation do enhance educational outcomes. Measurement of performance when combined with Course of Action Simulation Analysis becomes a useful tool in the description of outcomes, an understanding of decision making, and the prediction of future events.
Details
- Title
- Doing the Right Thing at the Right Time: Assessing Responses to Patient Deterioration in Electronic Simulation Scenarios Using Course-of-Action Analysis
- Authors
- Simon Cooper (Author) - Federation UniversityR P Cant (Author) - Monash UniversityFiona E Bogossian (Author) - University of QueenslandT Bucknall (Author) - Deakin UniversityR Hopmans (Author) - Monash University
- Publication details
- Computers, Informatics, Nursing, Vol.33(5), pp.199-207
- Publisher
- Lippincott Williams & Wilkins
- Date published
- 2015
- DOI
- 10.1097/CIN.0000000000000141
- ISSN
- 1538-2931; 1538-2931
- Organisation Unit
- School of Health; University of the Sunshine Coast, Queensland; School of Health and Sport Sciences - Legacy; School of Health and Behavioural Sciences - Legacy
- Language
- English
- Record Identifier
- 99451484602621
- Output Type
- Journal article
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web Of Science research areas
- Computer Science, Interdisciplinary Applications
- Medical Informatics
- Nursing
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