medigraphic.com
SPANISH

Investigación en Educación Médica

ISSN 2007-5057 (Print)
Investigación en Educación Médica
  • Contents
  • View Archive
  • Information
    • General Information        
    • Directory
  • Publish
    • Instructions for authors        
  • medigraphic.com
    • Home
    • Journals index            
    • Register / Login
  • Mi perfil

2021, Number 37

<< Back Next >>

Inv Ed Med 2021; 10 (37)

Massive Digital Training for the Acquisition of Theoretical Knowledge About COVID-19 in Mexico

Domínguez CG, Monroy RALE, Luna CE, Vichi LLJ, Montejo RSJ, Bonilla HR, Arizpe VD, Pherez FA, Múzquiz AS, Mancilla OJP, Gutiérrez MJ, Zerón GL
Full text How to cite this article

Language: Spanish
References: 26
Page: 50-60
PDF size: 586.19 Kb.


Key words:

E-learning, massive training, digital training, COVID-19.

ABSTRACT

Introduction: The Mexican population has a high rate of comorbidities which condition a high risk of complications associated with COVID-19 infection. This pattern of prevalence and accelerated transmission generated a complex scenario for the containment of this pandemic, which urgently required highly trained personnel to provide timely medical care.
Objective: Measure the change in theoretical knowledge about the management of critically ill patients by COVID- 19 from the development and implementation of a mass digital training model and report the perception of the participants after the intervention.
Method: An online educational intervention, aimed for health care personnel, was designed to care for the critically ill patient. A single-group pre-experimental study with pre-test and post-test was carried out. Pre and post assessment materials were designed and applied to know the modification in medical knowledge through the intervention.
Results: 3016 health professionals were trained, 29.7% men and 70.3% women with an average age of 37.45 years (SD ± 11.2) years. The educational platform was satisfactorily evaluated by trained personnel, obtaining a score of 8.43 out of 10 (SD ± 1.66). The educative platform was satisfactory evaluated by the trained group obtaining an average grade of 8.43 over 10 (SD ± 1.66). Easy accessibility and applicability of the contents were demonstrated, as well as an adequate quality of didactic resources in the satisfaction survey. There was a statistically significant difference (p ‹0.0001) between the results obtained in our diagnostic test and the final examination of the course.
Conclusions: Massive digital training is an accessible tool in time and cost to acquisition of knowledge of health professionals about COVID-19 during the health contingency. Collaboration between non-profit institutions is possible and can lead to the development of valuable tools to improve medical training in Mexico.


REFERENCES

  1. Suárez V, Suarez Quezada M, Oros Ruiz S, Ronquillo de Jesús E. Epidemiology of COVID-19 in México: from the 27th of February to the 30th of April 2020. Rev Clin Esp. 2020;S0014-2565(20)30144-2.

  2. Johns Hopkins University. Coronavirus Resource Center United States 2020. [consultado 3 Nov 2020]. Disponible en: https://coronavirus.jhu.edu/map.html

  3. Gandhi RT, Lynch JB, del Río C. Mild or Moderate Covid-19. [Publicado en línea antes de la impresión, 24 de abril de 2020]. N Eng J Med. 2020.

  4. Williamson EJ, Walker AJ, Bhaskaran K, Bacon S, Bates C, Morton CE, et al. Factors associated with COVID-19-related death using OpenSAFELY. Nature. 2020;584(7821):430-36.

  5. Siordia JA. Epidemiology and clinical features of COVID-19: A review of current literature. J Clin Virol. 2020;127:104357.

  6. Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA. 2020;324(8):782-93.

  7. Heinze Marti G, Olmedo VH, Bazán G, Bernard NA, Guízar DP. Los médicos especialistas en México. Gac Med Mex. 2018;154:342-51.

  8. Altés J. Papel de las tecnologías de la información y la comunicación en la medicina actual. Semin Fund Esp de Reumatol. 2013;14(2):31-5.

  9. Organización Mundial de la Salud. Prevención y control de infecciones (PCI) causadas por el nuevo coronavirus (COVID-19) [Internet]. OpenWHO; 2020 [citado 27 Jul 2020]. Disponible en: https://openwho.org/courses/COVID-19-PCI-ES

  10. Harvard University. Mechanical Ventilation for COVID-19 [Internet]. Harvard Online Courses; 2020 [citado 27 Jul 2020]. Disponible en: https://online-learning.harvard.edu/course/ mechanical-ventilation-covid-19

  11. Cook A, Salle JL, Reid J, Chow KF, Kuan J, Razvi H, Farhat WA, Bagli DJ, Khoury AE. Prospective evaluation of remote, interactive videoconferencing to enhance urology resident education: the genitourinary teleteaching initiative. J Urol. 2005 Nov;174(5):1958-60.

  12. Williams L, Chitavi S, Longo B. Influenza Pandemic Preparedness Training for Health Professionals and Rapid Influenza Testing Course in Spanish. Open Forum Infectious Diseases. 2016;3.

  13. Phrampus PE, O’Donnell JM, Farkas D, Abernethy D, Brownlee K, Dongilli T, et al. Rapid development and deployment of Ebola readiness training across an academic health system: The critical role of simulation education, consulting, and systems integration. Simul Healthc. 2016;11:82-8.

  14. Burgueño E. México: estados más afectados por el coronavirus 2020. Statista; 2020. [ citado 27 Jul 2020]. Disponible en: https://es.statista.com/estadisticas/1109201/numero-casoscoronavirus- mexico-estado/

  15. Bhalla M. COVID-19: Redeployment through the eyes of an ophthalmologist. Clin Med. 2020;20(5):e136.

  16. Minissian MB, Ballard-Hernandez J, Coleman B, Chavez J, Sheffield L, Joung S, et al. Multispecialty Nursing During COVID-19: Lessons Learned in Southern California. Nurse Lead. 2020.

  17. Ardito C, Costabile M, Marsico M, Lanzilotti R, Levialdi S, Roselli T et al. An approach to usability evaluation of e-learning applications. Univers Access Inf Soc. 2005;4(3):270-83.

  18. Boatin A, Ngonzi J, Bradford L, Wylie B, Goodman A. Teaching by Teleconference: A Model for Distance Medical Education across Two Continents. Open J Obstet Gynecol. 2015; 5(13):754-61.

  19. Kolasa K, Kozinski G. How to Value Digital Health Interventions? A Systematic Literature Review. Int J Environ Res Public Health. 2020;17(6):2119.

  20. Castro AP. Introducción al uso de imágenes digitales en formato web en el aprendizaje de la histología humana. Educ Méd. 2019;20(5):280-3.

  21. Hariyati R, Handiyani H, Utomo B, Rahmi S, Djadjuli H. Nurses’ perception and nursing satisfaction using “The Corner Competency System”. Enferm Clínica. 2019;29:659-64.

  22. Stępień A, Pacia M, Janiec S, Chemielak W. Randomized study to compare two methods of e-learning of ECG interpretation among medical students. Porto Biomed J. 2017; 2(5):195.

  23. Kiwanuka JK, Ttendo SS, Eromo E, Joseph SE, Duan ME, Haastrup AA, Baker K, Firth PG. Synchronous distance anesthesia education by Internet videoconference between Uganda and the United States. J Clin Anesth. 2015 Sep;27(6):499-503.

  24. Khan JA, Kiani MRB. Impact of multi-professional simulation- based training on perceptions of safety and preparedness among health workers caring for coronavirus disease 2019 patients in Pakistan. J Educ Eval Health Prof. 2020; 17(0):19-20.

  25. Gupta B, Jain G, Mishra P, Pathak S.Preparedness to combat COVID-19 via structured online training program regarding specific airway management: A prospective observational study. Indian J. Anaesth. 2020 Sep 1;64(9).

  26. Hernández R, Fernández C, Baptista M. Fundamentos de metodología de la investigación. México City:McGraw Hill; 2009. p.141-142.




2020     |     www.medigraphic.com

Mi perfil

C?MO CITAR (Vancouver)

Inv Ed Med. 2021;10