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Methodology of Specialist Physicians Training: From Traditional to e-Learning

Author

Listed:
  • Juan Chaves

    (Public Company for Health Emergencies (EPES), 21003 Huelva, Spain)

  • Antonio A. Lorca-Marín

    (Department of Integrated Didactics, University of Huelva, 21007 Huelva, Spain)

  • Emilio José Delgado-Algarra

    (Department of Integrated Didactics, University of Huelva, 21007 Huelva, Spain)

Abstract

Different studies show that mixed methodology can be effective in medical training. However, there are no conclusive studies in specialist training on advanced life support (ALS). The main objective of this research is to determine if, with mixed didactic methodology, which includes e-learning, similar results are produced to face-to-face training. The method used was quasi-experimental with a focus on efficiency and evaluation at seven months, in which 114 specialist doctors participated and where the analysis of the sociodemographic and pre-test variables points to the homogeneity of the groups. The intervention consisted of e-learning training plus face-to-face workshops versus standard. The results were the performance in knowledge and technical skills in cardiac arrest scenarios, the perceived quality, and the perception of the training. There were no significant differences in immediate or deferred performance. In the degree of satisfaction, a significant difference was obtained in favour of the face-to-face group. The perception in the training itself presented similar results. The main limitations consisted of sample volume, dropping out of the deferred tests, and not evaluating the transfer or the impact. Finally, mixed methodology including e-learning in ALS courses reduced the duration of the face-to-face sessions and allowed a similar performance.

Suggested Citation

  • Juan Chaves & Antonio A. Lorca-Marín & Emilio José Delgado-Algarra, 2020. "Methodology of Specialist Physicians Training: From Traditional to e-Learning," IJERPH, MDPI, vol. 17(20), pages 1-19, October.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:20:p:7681-:d:432374
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    Cited by:

    1. Younyoung Choi & Hyunwoo Lee, 2022. "Psychometric Properties for Multidimensional Cognitive Load Scale in an E-Learning Environment," IJERPH, MDPI, vol. 19(10), pages 1-12, May.

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