Objectives: Determine how a shift- based schedule to accommodate more students affects learning, performance, and satisfaction with the Obstetrics and Gynecology (OBG) rotation.
Methods: The study was conducted among third year OBG medical students with a triangular convergent cross-sectional approach. A new shift-based schedule was implemented. After each rotation, an online survey was conducted using a convenience sampling. Student scores on the National Board of Medical Examiner (NBME) OBG subject exam were analyzed using paired t test. Survey data was analyzed using two sample t test. The relationship between survey responses and exam score findings were described. Data from shift-schedule students was compared to traditional schedule students from the prior academic year.
Results: A statistically significant improvement was seen for average NBME score for shift-schedule students during the beginning portion (groups 1-3) of the academic year (M=80, SD=6.9) compared to traditional (M=75.7, SD=7.3) [t (145) =3.69, p =.001]. A similar pattern was not seen in subsequent groups (groups 4-6). Shift-schedule students also showed a statistically significant improvement in their perception of learning (t (183) =-2.54, p =.012). Parallel results were seen for belonging, manageable workload, time to study, and engaging meaningfully. Using this model, we increased rotation capacity from 24 to 30 students per group (20%).
Conclusions: Shift based scheduling allows 20% increase in capacity. Exam scores and student learning outcomes were similar or better than traditional schedule controls.
Objectives: This study aims to find the prevalence of mental health problems and the rates of seeking mental health care among health-related students, as well as identifying factors associated with seeking mental health care.
Methods: A cross-sectional online survey was conducted among students from the Faculty of Medicine at a university in the 2021 academic year. A total of 832 students voluntarily completed an online survey measuring mental health problems and factors influencing mental health care seeking. Descriptive and analytic statistics including t-test, Pearson's chi-square test, and binary logistic regression analysis, were used to analyze the data.
Results: Among the participants, 46.80% (n = 389) reported experiencing mental health problems, but only 16.97% (n = 66) of them sought mental health care. Binary logistic regression analysis revealed that female (OR = 2.63 (1.08 - 6.43)) and LGBTQ (OR = 4.26 (1.36 - 13.37)) students, and those with a positive attitude toward professionals (OR = 1.10 (1.02 - 0.19)), were more likely to seek formal mental health care than those who did not.
Conclusions: The study findings indicate that mental health problems are prevalent among health-related students, yet formal mental health care uptake is low. To address this issue, mental health screening programs, improved knowledge and attitudes about mental health care, and mental health training for academic staffs who work with health-related students are necessary. Future studies should explore interventions to increase the uptake of mental health services among health-related students.