RESUMO
Realistic simulation-based learning has recently become an integral part of medical education and can provide several advantages if applied effectively. This study aimed to develop and validate a realistic simulation case scenario (RSCS) as a novel teaching tool for preclinical medical students. Furthermore, we aimed to evaluate student perception of this tool as a teaching strategy, as well as to acquire an in-depth understanding of student perspectives. We employed the mixed methods approach to explore how clinical reasoning develops through a validated RSCS. This study, which included 50 third-year medical students, was conducted at the College of Medicine, Dar Al Uloom University, KSA between November 2021 and February 2022. Most of the participants (94%) were satisfied with the RSCS method and 92% of the participants reported RSCS as more effective in terms of achieving learning objectives. Many advantages of RSCS have been reported, including the provision of realistic knowledge relating to critical care management, encouraging student participation in the learning process, and enhancing interpersonal and problem-solving skills. In conclusion, RSCS is an effective and dynamic teaching approach that aids in knowledge consolidation with a significant impact on the emotions and cognitive abilities of students.
RESUMO
OBJECTIVES: Smartphone overuse is prevalent among healthcare professionals. There is no standard scale that can measure the impact of smartphone usage on healthcare professionals. This study aimed to develop and validate a tool, the Smartphone Impact Scale (SIS), that can effectively measure the use of smartphone among healthcare professionals. METHODS: We developed a generic instrument to study the impact of smartphone usage among healthcare professionals. A total of 1436 healthcare professionals from various regions of KSA participated in this study through an online questionnaire-based survey. The psychometric properties of the SIS were developed using content validity index (CVI), factor analysis, internal consistency, and test-retest reliability analysis. RESULTS: A 23-item scale was selected for reliability and validity analysis. The average CVI was found to be 0.824. The internal consistency with Cronbach's alpha value was 0.91, and test-retest reliability was 0.85. The Cronbach's alpha values for Factors 1 and 2 were 0.875 and 0.803, respectively. The confirmatory factor analysis indices were as follows: root mean square of approximation = 0.0710, comparative fit index = 0.861, Tucker-Lewis index = 0.845, and the coefficient of determination = 0.969. The correlation between two factors was 0.66. After factor analysis, we developed a final questionnaire with 23 items. CONCLUSIONS: Our SIS showed a three-factor structure and appropriate psychometric characteristics. Due to its adequate reliability and validity, SIS can be conveniently used to evaluate the impact of smartphone usage on healthcare professionals.
