Assessing the effectiveness of training programme on the competency of medical staffs in public health emergency

• Authors: Yuhan Zhao , Chenming Wei , Liezong Ni , Jinghua Zhang , Xunbao Yin , Hongwei Sun

Abstracts

EN

Background The competencies of medical staff in the public health emergency system and evaluated the effects of system-based professional training were investigated. Material and Methods A competency model for individuals in a public health emergency management system was developed, which contained 33 items with 5 domains. A competency-based intervention was performed. A total of 68 participants from 4 health emergency teams in Xinjiang, China were recruited and randomly divided into 2 groups: the intervention (N = 38) and control groups (N = 30). Participants in the intervention group received competency-based training, while those in the control group received no training. All participants responded to the COVID-19 activities. The competencies of medical staff in the 5 domains were then analyzed in the pre-intervention, post-first training, and post-COVID-19 intervention using a self-designed questionnaire. Results Participants’ competencies were at the middle level at baseline. After the first training, competencies in the 5 domains significantly improved in the intervention group; in the control group, there was a significant increase in professional quality compared in the pre-training. After the response to COVID-19, the mean scores of competencies in the 5 domains significantly increased in both the intervention and control groups compared with those in the post-first training. Psychological resilience scores were higher in the intervention group than in the control group, whereas no significant differences in competencies were found in other domains. Conclusions Competency-based interventions provided practice and showed a positive effect on improving the competencies of medical staff in public health teams. Med Pr. 2023;74(1)

Keywords

EN

competency; system professional training; public health emergency; self-designed questionnaire; medical staffs; training

• Publisher: Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
• Journal: Medycyna Pracy
• Year: 2023
• Volume: 74
• Issue: 1
• Pages: 19-26

Dates

published

2023

Contributors

author

Yuhan Zhao

• Weifang University, Weifang, China (Department of Teacher Education)

author

Chenming Wei

• Weifang University, Weifang, China (Department of Teacher Education)

author

Liezong Ni

• Peking Union Medical College, Beijing, China (School of Population Medicine and Public Health)

author

Jinghua Zhang

• Georgia Institute of Technology, Atlanta, USA (H. Milton Stewart School of Industrial and Systems Engineering)

author

Xunbao Yin

• Weifang University, Weifang, China (Department of Teacher Education)

author

Hongwei Sun

• Weifang Medical University, Weifang, China (Department of Psychology)

Identifiers

DOI

10.13075/mp.5893.01316

Biblioteka Nauki

2188853