Abstract
This study aimed to determine the effect of psychological first-aid (PFA) E-learning on the competence and empathy of nurses in disasters. In a randomized controlled trial, 50 nurses were randomly assigned to 2 intervention and control groups, and psychological first-aid training sessions were implemented for the intervention group. The data were collected using the personal information form, a researcher-made questionnaire to measure competence, and the Davis Empathy Questionnaire. Two groups were homogeneous in terms of competency (P = 0.691) and empathy (P = 0.363) in the preintervention phase. The intervention group had more competence in the next stage than before the intervention (P < 0.0001). In the post-intervention phase, the intervention group had more competence compared with the control group (P < 0.0001). The overall effect size of PFA E-learning training on the nurses' competency was 1.9. Regarding empathy, in the post-intervention phase, the subscale of personal distress (P = 0.014) was significantly lower in the intervention group and the perspective-taking subscale was higher than in the control group (P < 0.0001). However, there was no significant difference between the groups in terms of all scores of empathy and the subscale of empathic concern (P > 0.05). The overall effect size of PFA E-learning training on the nurses' empathy was 0.44. It is suggested to provide training, including a PFA E-learning model, for nurses and other therapists in disaster situations.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.