{"title":"Three debriefing methods in virtual patient simulation: A randomized controlled trial","authors":"Gul Sahin Karaduman, Tulay Basak, Senem Duman","doi":"10.1016/j.nepr.2025.104447","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Debriefing is essential after virtual patient simulations; however, optimal approaches remain limited.</div></div><div><h3>Aim</h3><div>To evaluate three different debriefing methods used with nursing students following virtual patient simulations, focusing on debriefing experience, simulation effectiveness, satisfaction and self-confidence.</div></div><div><h3>Design</h3><div>A blinded, randomized controlled, parallel group with pre- and post-test trial.</div></div><div><h3>Methods</h3><div>109 nursing students in their final-year were randomly assigned to three groups by an independent educator: Group A (n = 36), applied the <em>Diamond</em>, Group B (n = 36) applied <em>Debriefing with Meaningful Learning (DML)</em> and the Control Group (n = 37) applied <em>Self-debriefing</em> methods. Participants and the data analyst were blinded. The “<em>Demographic Questionnaire”, “Debriefing Experience Scale (DES)”, “Simulation Effectiveness Tool-Modified (SET-M)”, “Student Satisfaction and Self-confidence in Learning Scale (SCLS)”</em> were used to obtain data.</div></div><div><h3>Results</h3><div>Baseline measurements were similar between all groups. <em>The DES</em> showed differences within groups (p < 0.05, d> 0.8) and between groups across all subscales and total scores (p < 0.05). In the <em>SET-M</em>, 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). <em>The SCLS</em> revealed significant differences in all groups in within-group comparisons (p < 0.05).</div></div><div><h3>Conclusions</h3><div>The results indicate that all debriefing methods are effective regarding <em>DES</em>, <em>SET-M</em> and <em>SCLS</em> 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.</div></div>","PeriodicalId":48715,"journal":{"name":"Nurse Education in Practice","volume":"87 ","pages":"Article 104447"},"PeriodicalIF":3.3000,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nurse Education in Practice","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1471595325002033","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
Abstract
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.
期刊介绍:
Nurse Education in Practice enables lecturers and practitioners to both share and disseminate evidence that demonstrates the actual practice of education as it is experienced in the realities of their respective work environments. It is supportive of new authors and will be at the forefront in publishing individual and collaborative papers that demonstrate the link between education and practice.