Efficiency of Using a Simulator for Ultrasound and Laser Dose Calculation in Physiotherapy.

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Background: In the context of the lockdowns due to COVID-19, e-learning has become the sole tool allowing learning objectives to be achieved successfully. However, for some subjects, training aided only by this type of tool encounters much difficulty, especially because of the experimental nature of such subjects. Aim: to assess the efficiency of a simulator for estimating dose calculation of ultrasound and laser based on surveys and a written test in a group of students. Methods: Surveys conducted voluntarily and anonymously by a group of students enrolled in the subject General Procedures in Physiotherapy I of the undergraduate degree in Physiotherapy. Furthermore, an objective test containing dose calculation problems for ultrasound and laser had to be solved. Prior to the completion of the objective test, the simulator for calculating ultrasound doses was provided to half of the subjects, whilst the other half were provided with the simulator for calculating laser doses, with both of which they were allowed to practice for a whole week. Results: Out of all the students enrolled in the first year of the undergraduate degree in Physiotherapy, a total of 38 students completed the surveys and 44 took part in the test for solving dose calculation problems. The surveys showed that a substantial number of students consider the use of a simulator for learning purposes efficient. This consideration was corroborated: the response times were reduced and the quantifications were the same for ultrasound, and better for laser. Conclusions: the use of a simulator for ultrasound and laser dose calculation is welcomed by a substantial number of students, and also represents a good additional tool when learning problem resolution.

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Martin-Vega, F.J.; Martín-Valero, R.; Gonzalez-Medina, G.; Carmona-Barrientos, I.; Garcia-Munoz, C.; Vinolo-Gil, M.J. Efficiency of Using a Simulator for Ultrasound and Laser Dose Calculation in Physiotherapy. Appl. Sci. 2022, 12, 9096. https://doi.org/10.3390/app12189096

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