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Assessing the efficacy of tablet-based simulations for learning pseudo-surgical instrumentation
- Source :
- PLoS ONE, PLoS ONE, Vol 16, Iss 1, p e0245330 (2021)
- Publication Year :
- 2021
- Publisher :
- Public Library of Science, 2021.
-
Abstract
- Nurses and surgeons must identify and handle specialized instruments with high temporal and spatial precision. It is crucial that they are trained effectively. Traditional training methods include supervised practices and text-based study, which may expose patients to undue risk during practice procedures and lack motor/haptic training respectively. Tablet-based simulations have been proposed to mediate some of these limitations. We implemented a learning task that simulates surgical instrumentation nomenclature encountered by novice perioperative nurses. Learning was assessed following training in three distinct conditions: tablet-based simulations, text-based study, and real-world practice. Immediately following a 30-minute training period, instrument identification was performed with comparable accuracy and response times following tablet-based versus text-based training, with both being inferior to real-world practice. Following a week without practice, response times were equivalent between real-world and tablet-based practice. While tablet-based training does not achieve equivalent results in instrument identification accuracy as real-world practice, more practice repetitions in simulated environments may help reduce performance decline. This project has established a technological framework to assess how we can implement simulated educational environments in a maximally beneficial manner.
- Subjects :
- Male
020205 medical informatics
Perioperative nursing
Computer science
Health Care Providers
Social Sciences
Nurses
02 engineering and technology
Task (project management)
0302 clinical medicine
Learning and Memory
Mathematical and Statistical Techniques
0202 electrical engineering, electronic engineering, information engineering
Medicine and Health Sciences
Psychology
Medical Personnel
Instrumentation
Haptic technology
Allied Health Care Professionals
Multidisciplinary
Simulation and Modeling
Statistics
Virtual Reality
Identification (information)
Professions
Physical Sciences
Virtual learning environment
Medicine
Engineering and Technology
Regression Analysis
Female
Clinical Competence
Research Article
Adult
medicine.medical_specialty
Adolescent
Science
Health Personnel
Surgical and Invasive Medical Procedures
Research and Analysis Methods
03 medical and health sciences
Human Learning
Young Adult
medicine
Learning
Humans
Medical physics
Instrumentation (computer programming)
Statistical Methods
Surgical instrumentation
Cognitive Psychology
Biology and Life Sciences
Health Care
General Surgery
People and Places
Cognitive Science
Population Groupings
030217 neurology & neurosurgery
Mathematics
Neuroscience
Subjects
Details
- Language :
- English
- ISSN :
- 19326203
- Volume :
- 16
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....55df2032b9d55c9526c20e4754a3043e