Qualification rate and associated factors regarding COVID-19 clinical skills training based on scenario simulation teaching to medical staffs in China: a hospital-based cross-sectional study

BMC Med Educ. 2024 Jul 19;24(1):774. doi: 10.1186/s12909-024-05733-3.

Abstract

Background: The coronavirus disease (COVID-19) pandemic has accentuated the need for effective clinical skills training in infectious diseases. This study aimed to explore the influencing factors of infectious disease clinical skills training based on scenario simulation teaching for medical staff in China.

Methods: This hospital-based, cross-sectional study was conducted at the Third People's Hospital of Shenzhen between March and December 2022. Scenario simulation teaching was applied, and factors such as gender, educational level, professional background, and previous experience were examined to determine their impact on qualification outcomes.

Results: The study included participants primarily between the ages of 20-40 years, with a higher proportion of women holding university degrees. Nurses and physicians were more likely to qualify, indicating the significance of professional backgrounds. Women showed a higher likelihood of qualifying than men and higher educational attainment correlated with better qualification rates. Prior experience with protective clothing in isolation wards was a significant determinant of successful qualification. Multivariate analysis underscored the influence of sex, education, and previous experience on training effectiveness.

Conclusion: Scenario simulation is an effective strategy for training clinical skills in treating infectious diseases. This study highlights the importance of considering sex, education, professional background, and prior experience when designing training programs to enhance the efficacy and relevance of infectious disease training.

Keywords: Clinical skills training; Education; Gender; Infectious diseases; Professional background; Scenario Simulation.

MeSH terms

  • Adult
  • COVID-19* / epidemiology
  • China
  • Clinical Competence*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Medical Staff, Hospital / education
  • Pandemics
  • SARS-CoV-2
  • Simulation Training*
  • Young Adult