Are serious games seriously good at preparing students for clinical practice?: A randomized controlled trial.

PURPOSE: Serious games (SGs) have great potential for pediatric medical education. This study evaluated the efficacy of a SG in improving learner satisfaction, knowledge, and behavior. MATERIALS AND METHODS: This was an investigator-blinded randomized controlled trial (RCT) comparing a SG against two controls: (i) adaptive tutorial (AT), and (ii) low-stimulus control (LSC). SG is a highly immersive role-playing game in a virtual hospital. AT delivers interactive web-based lessons. LSC is paper-based clinical practice guidelines. Metropolitan senior medical students at UNSW were eligible. A total of 154 enrolled and were block randomized to one intervention. Participants had access to one intervention for 8 weeks which taught pediatric acute asthma and seizure assessment and management. Satisfaction was assessed with Likert-scale responses to 5 statements and 2 free-text comments. Knowledge was assessed with 10 multiple-choice questions (MCQs). Clinical behavior was assessed during a 30-point simulated clinical management scenario (CMS). Primary analysis was performed on a modified intention-to-treat basis and compared: (1) SG vs. AT; and (2) SG vs. LSC. RESULTS: A total of 118 participants were included in the primary analysis (modified intention-to-treat model). No significant differences in MCQ results between the SG and control groups. SG group outperformed the LSC group in the CMS, with a moderate effect (score out of 30: 20.8 (3.2) vs. 18.7 (3.2), respectively, d = 0.65 (0.2-1.1), p = 0.005). No statistically significant difference between SG and AT groups in the CMS (score: 20.8 (3.2) vs. 19.8 (3.1), respectively, d = 0.31 (-0.1 to 0.8), p = 0.18). A sensitivity analysis (per-protocol model) was performed with similar outcomes. CONCLUSIONS: This is the first investigator-blinded RCT assessing the efficacy of a highly immersive SG on learner attitudes, knowledge acquisition, and performance in simulated pediatric clinical scenarios. The SG demonstrated improved translation of knowledge to a simulated clinical environment, particularly compared to LSC. SGs show promise in pediatric medical education.

What impacts students' satisfaction the most from Medicine Student Experience Questionnaire in Australia: a validity study.

PURPOSE: This study evaluated the validity of student feedback derived from Medicine Student Experience Questionnaire (MedSEQ), as well as the predictors of students' satisfaction in the Medicine program. METHODS: Data from MedSEQ applying to the University of New South Wales Medicine program in 2017, 2019, and 2021 were analyzed. Confirmatory factor analysis (CFA) and Cronbach's α were used to assess the construct validity and reliability of MedSEQ respectively. Hierarchical multiple linear regressions were used to identify the factors that most impact students' overall satisfaction with the program. RESULTS: A total of 1,719 students (34.50%) responded to MedSEQ. CFA showed good fit indices (root mean square error of approximation=0.051; comparative fit index=0.939; chi-square/degrees of freedom=6.429). All factors yielded good (α>0.7) or very good (α>0.8) levels of reliability, except the "online resources" factor, which had acceptable reliability (α=0.687). A multiple linear regression model with only demographic characteristics explained 3.8% of the variance in students' overall satisfaction, whereas the model adding 8 domains from MedSEQ explained 40%, indicating that 36.2% of the variance was attributable to students' experience across the 8 domains. Three domains had the strongest impact on overall satisfaction: "being cared for," "satisfaction with teaching," and "satisfaction with assessment" (ß=0.327, 0.148, 0.148, respectively; all with P<0.001). CONCLUSION: MedSEQ has good construct validity and high reliability, reflecting students' satisfaction with the Medicine program. Key factors impacting students' satisfaction are the perception of being cared for, quality teaching irrespective of the mode of delivery and fair assessment tasks which enhance learning.

Medical student selection process enhanced by improving selection algorithms and changing the focus of interviews in Australia: a descriptive study

PURPOSE: The study investigates the efficacy of new features introduced to the selection process for medical school at the University of New South Wales, Australia: (1) considering the relative ranks rather than scores of the Undergraduate Medicine and Health Sciences Admission Test and Australian Tertiary Admission Rank; (2) structured interview focusing on interpersonal interaction and concerns should the applicants become students; and (3) embracing interviewers' diverse perspectives. METHODS: Data from 5 cohorts of students were analyzed, comparing outcomes of the second year in the medicine program of 4 cohorts of the old selection process and 1 of the new process. The main analysis comprised multiple linear regression models for predicting academic, clinical, and professional outcomes, by section tools and demographic variables. RESULTS: Selection interview marks from the new interview (512 applicants, 2 interviewers each) were analyzed for inter-rater reliability, which identified a high level of agreement (kappa=0.639). No such analysis was possible for the old interview since it required interviewers to reach a consensus. Multivariate linear regression models utilizing outcomes for 5 cohorts (N=905) revealed that the new selection process was much more effective in predicting academic and clinical achievement in the program (R2=9.4%­17.8% vs. R2=1.5%­8.4%). CONCLUSION: The results suggest that the medical student selection process can be significantly enhanced by employing a non-compensatory selection algorithm; and using a structured interview focusing on interpersonal interaction and concerns should the applicants become students; as well as embracing interviewers' diverse perspectives.