Three debriefing methods in virtual patient simulation: A randomized controlled trial
Nurse Education in Practice, cilt.87, 2025 (SCI-Expanded, SSCI, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 87
- Basım Tarihi: 2025
- Doi Numarası: 10.1016/j.nepr.2025.104447
- Dergi Adı: Nurse Education in Practice
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, CINAHL, Education Abstracts, Educational research abstracts (ERA), MEDLINE
- Anahtar Kelimeler: Debriefing, Feedback, Effectiveness, Patient Simulation, Simulation-based Education, Virtual Systems, Nursing Students
- Sağlık Bilimleri Üniversitesi Adresli: Evet
Özet
Background: Debriefing is essential after virtual patient simulations; however, optimal approaches remain limited. Aim: To evaluate three different debriefing methods used with nursing students following virtual patient simulations, focusing on debriefing experience, simulation effectiveness, satisfaction and self-confidence. Design: A blinded, randomized controlled, parallel group with pre- and post-test trial. Methods: 109 nursing students in their final-year were randomly assigned to three groups by an independent educator: Group A (n = 36), applied the Diamond, Group B (n = 36) applied Debriefing with Meaningful Learning (DML) and the Control Group (n = 37) applied Self-debriefing methods. Participants and the data analyst were blinded. The “Demographic Questionnaire”, “Debriefing Experience Scale (DES)”, “Simulation Effectiveness Tool-Modified (SET-M)”, “Student Satisfaction and Self-confidence in Learning Scale (SCLS)” were used to obtain data. Results: Baseline measurements were similar between all groups. The DES showed differences within groups (p < 0.05, d> 0.8) and between groups across all subscales and total scores (p < 0.05). In the SET-M, within-group comparisons revealed significant differences in all groups. In contrast, an important difference was only revealed in the debriefing subscale between groups (p < 0.05). The largest effects in “debriefing” were between Group A versus Control and Group B versus Control (d>0.8). The SCLS revealed significant differences in all groups in within-group comparisons (p < 0.05). Conclusions: The results indicate that all debriefing methods are effective regarding DES, SET-M and SCLS scores. DML method yielded the highest gains. Findings offer evidence-based guidance for selecting debriefing strategies to enhance engagement and learning in virtual patient simulations.