The Predictive Value of Ultrasound Learning Curves Across Simulated and Clinical Settings: Predictive Value of Learning Curves During Sonographic Simulation

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Title: The Predictive Value of Ultrasound Learning Curves Across Simulated and Clinical Settings: Predictive Value of Learning Curves During Sonographic Simulation
Authors: Madsen, Mette E, Nørgaard, Lone N, Tabor, Ann, Konge, Lars, Ringsted, Charlotte, Tolsgaard, Martin G
Source: Madsen, M E, Nørgaard, L N, Tabor, A, Konge, L, Ringsted, C & Tolsgaard, M G 2017, 'The Predictive Value of Ultrasound Learning Curves Across Simulated and Clinical Settings', Journal of Ultrasound in Medicine, vol. 36, no. 1, pp. 201-208. https://doi.org/10.7863/ultra.16.01037
Publisher Information: Wiley, 2016.
Publication Year: 2016
Subject Terms: Adult, Denmark, 4. Education, Learning curves, Ultrasonics/education, Middle Aged, Clinical Competence/statistics & numerical data, Manikins, Midwifery, 16. Peace & justice, Correlation, 3. Good health, 03 medical and health sciences, Sonography, 0302 clinical medicine, Simulation-based training, Clinical training, Midwifery/education, Humans, Computer Simulation, Female, Ultrasonics, Clinical Competence, Learning Curve, Ultrasonography
Description: The aim of the study was to explore whether learning curves on a virtual-reality (VR) sonographic simulator can be used to predict subsequent learning curves on a physical mannequin and learning curves during clinical training.Twenty midwives completed a simulation-based training program in transvaginal sonography. The training was conducted on a VR simulator as well as on a physical mannequin. A subgroup of 6 participants underwent subsequent clinical training. During each of the 3 steps, the participants' performance was assessed using instruments with established validity evidence, and they advanced to the next level only after attaining predefined levels of performance. The number of repetitions and time needed to achieve predefined performance levels were recorded along with the performance scores in each setting. Finally, the outcomes were correlated across settings.A good correlation was found between time needed to achieve predefined performance levels on the VR simulator and the physical mannequin (Pearson correlation coefficient .78; P
Document Type: Article
Language: English
ISSN: 0278-4297
DOI: 10.7863/ultra.16.01037
Access URL: https://pubmed.ncbi.nlm.nih.gov/27925649
http://europepmc.org/abstract/MED/27925649
https://pubmed.ncbi.nlm.nih.gov/27925649/
https://www.onlinelibrary.wiley.com/doi/abs/10.7863/ultra.16.01037
http://doi.wiley.com/10.7863/ultra.16.01037
https://www.ncbi.nlm.nih.gov/pubmed/27925649
https://pure.au.dk/portal/en/publications/9af679bf-0780-42a1-a95c-4276bea168f7
http://www.scopus.com/inward/record.url?scp=85010629589&partnerID=8YFLogxK
https://doi.org/10.7863/ultra.16.01037
Rights: Wiley Online Library User Agreement
Accession Number: edsair.doi.dedup.....abcdd0ebf0fdf0ca30ec68ebcfcda251
Database: OpenAIRE
Description
Abstract:The aim of the study was to explore whether learning curves on a virtual-reality (VR) sonographic simulator can be used to predict subsequent learning curves on a physical mannequin and learning curves during clinical training.Twenty midwives completed a simulation-based training program in transvaginal sonography. The training was conducted on a VR simulator as well as on a physical mannequin. A subgroup of 6 participants underwent subsequent clinical training. During each of the 3 steps, the participants' performance was assessed using instruments with established validity evidence, and they advanced to the next level only after attaining predefined levels of performance. The number of repetitions and time needed to achieve predefined performance levels were recorded along with the performance scores in each setting. Finally, the outcomes were correlated across settings.A good correlation was found between time needed to achieve predefined performance levels on the VR simulator and the physical mannequin (Pearson correlation coefficient .78; P
ISSN:02784297
DOI:10.7863/ultra.16.01037