Background: Faculty workload calculations are not designed to capture nursing simulation faculty workload. The purposes of this literature review were to gather available determinants of simulation faculty workload in the existing literature and to propose a nascent simulation faculty workload model. Method: Scholarly databases were searched and synthesized. Results: Determinants of simulation faculty workload included substitution of clinical with simulation, simulation-to-clinical hour ratios, faculty preparation for simulation, faculty-to-student ratios, length of time in simulation, and the coordinator/director role. Conclusions: This article provides an initial attempt to identify and contextualize factors that determine simulation faculty workload. The simulation faculty workload model provides educators a framework with which to define and analyze concepts related to simulation workload, test relationships between these concepts, and guide discussions with administrators for appropriate workload credit for simulation-based learning activities. (C) 2018 International Nursing Association for Clinical Simulation and Learning. Published by Elsevier Inc. All rights reserved.
机构:
Uniformed Serv Univ Hlth Sci, Daniel K Inouye Grad Sch Nursing, Bethesda, MD 20814 USAUniformed Serv Univ Hlth Sci, Daniel K Inouye Grad Sch Nursing, Bethesda, MD 20814 USA
机构:
Calif Northstate Univ, Coll Pharm, Room 251,9700 West Taron Dr, Elk Grove, CA 95757 USACalif Northstate Univ, Coll Pharm, Room 251,9700 West Taron Dr, Elk Grove, CA 95757 USA
Fitzpatrick, Leo R.
Millette-Snodgrass, Carol
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Calif Northstate Univ, Coll Pharm, Room 251,9700 West Taron Dr, Elk Grove, CA 95757 USACalif Northstate Univ, Coll Pharm, Room 251,9700 West Taron Dr, Elk Grove, CA 95757 USA
Millette-Snodgrass, Carol
Atef, Eman
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Calif Northstate Univ, Coll Pharm, Room 251,9700 West Taron Dr, Elk Grove, CA 95757 USACalif Northstate Univ, Coll Pharm, Room 251,9700 West Taron Dr, Elk Grove, CA 95757 USA