Effect of motor imagery and actual practice on learning professional medical skills

Abstract

Background The peripheral venous catheter is the most frequently used medical device in hospital care to administer intravenous treatment or to take blood samples by introducing a catheter into a vein. The aim of this study was to examine the effect of motor imagery associated with actual training on the learning of peripheral venous catheter insertion into a simulated venous system. Method This was a prospective monocentre study in 3rd year medical students. Forty medical students were assigned to the experimental group (n = 20) performing both real practice and motor imagery of peripheral venous catheter insertion or to the control group (n = 20) trained through real practice only. We also recruited a reference group of 20 professional nurses defining the benchmark for a target performance. Results The experimental group learned the peripheral venous catheter insertion faster than the control group in the beginning of learning phase (p < 0.001), reaching the expected level after 4 sessions (p = .87) whereas the control group needed 5 sessions to reach the same level (p = .88). Both groups were at the same level at the end of the scheduled training. Conclusions Therefore, motor imagery improved professional motor skills learning, and limited the time needed to reach the expected level. Motor imagery may strengthen technical medical skill learning.

Synthetic peptides that form nanostructured micelles have potent antibiotic and antibiofilm activity against polymicrobial infections

“…Insertion of a peripheral venous catheter is one of the most common medical invasive procedures used in hospitals and is frequently associated with nosocomial infections as a result of bacterial colonization of these foreign bodies within patients ( 48 , 49 ). We adopted a P. aeruginosa and S. aureus mixed biofilm-coated catheter model in mice ( 50 ) that allowed us to evaluate Peptide K6 for treatment efficacy of a polymicrobial infection under in vivo conditions.…”

Movement Representation Strategies as a Tool for Educational Innovation in Physiotherapy Students: A Randomized Single-Blind Controlled-Pilot Trial

“…In addition, González-Rosa et al [13] also found that AOP was more effective than MIP in promoting the early learning of a new complex coordination task. At the educational learning level, the research work conducted by Collet et al [21] showed that the application of MRS, in combination with physical practice, resulted in faster learning (in fewer sessions) than just physical practice alone. These results are in line with the results found in this research, showing that the application of MRS obtained better results than the real isolated practice, and, furthermore, that the AOP obtained better results in comparison with MIP.…”

“…So far, no research work has been applied to improve specific learning of clinical techniques in the field of physiotherapy. Recently Collet et al [21] showed that medical students benefited from MIP training in clinical motor skills. The study conducted by Collet et al [21] is very interesting and opens up a range of possibilities for the study of motor learning in health science students using MRS. We hypothesize that MRS can be a tool for learning clinical techniques in physical therapy students.…”

“…Recently Collet et al [21] showed that medical students benefited from MIP training in clinical motor skills. The study conducted by Collet et al [21] is very interesting and opens up a range of possibilities for the study of motor learning in health science students using MRS. We hypothesize that MRS can be a tool for learning clinical techniques in physical therapy students. In addition, based on previous studies [22], it is possible that the AOP could be an advantage in the initiation of the learning of these techniques.…”

Deep and Wide Transfer Learning with Kernel Matching for Pooling Data from Electroencephalography and Psychological Questionnaires

“…Hence, although psychological assessment and questionnaires are probably the most accepted and validated methods in medical contexts [ 14 ], their inclusion in the automated prediction of the BCI skills remains very rare due to their disputed reliability and reproducibility [ 15 ]. For enhancing the predictive utility, the joint analysis of different imaging modalities is achieved, which may explain the discovered relationships between anatomical, functional, and electrophysiological properties of the brain [ 16 , 17 ]. Nonetheless, besides those issues that may arise by the questionary implementation, research endeavors of multimodal analysis pose a challenging problem in terms of combining categorical data with imaging measurements, facing the following restrictions [ 18 , 19 ]: Different spatial and temporal sampling rates, noninstantaneous and nonlinear coupling, low signal-to-noise ratios, a lack of interpretable results, and the optimal combination of individual modalities is still undetermined, as well as effective dimensionality reduction to enhance the discriminability of extracted multi-view features [ 20 ].…”