Negative Impact of Smaller Hometown Size on the Educational Experience of Medical Students: A Nationwide Study in Saudi Arabia.

Background and objective Saudi Arabia's rapid medical education expansion has posed unique challenges for its students, particularly concerning specialty selection. Having broad exposure to medical specialties is crucial for making informed decisions. This study explores how the size of students' hometowns influences their exposure to their preferred specialty, thereby affecting their choice. Methods Our cross-sectional study collected data from medical students in their 4th and 5th years, interns, and graduates across Saudi Arabia. An electronic survey gathered information about medical specialty choice, interest levels, students' self-ranking compared to their peers, and level of exposure to the chosen specialty. Overall exposure to specialties was quantified by tallying participants' experiences in preclinical observerships, didactic lectures, research projects, core and elective rotations, and attended conferences. We divided the students into three city sizes: primary urban centers, intermediate urban cities, and small townships and compared the outcomes between these three groups. Results Responses were obtained from 1,072 participants, with 424 (39.6%) from primary urban centers, 367 (34.2%) from intermediate urban cities, and 281 (26.2%) from small townships. Student hometown size was an independent predictor of specialty exposure, with students from smaller cities reporting lower exposure scores (OR = 0.73, (0.63-0.84), p<0.01). The study also identified gender disparities in exposure, with female students found to be correlated with a lower exposure score (OR = 0.72, (0.58-0.89), p<0.01). Conclusion City size is a significant determinant of specialty exposure for Saudi medical students. These findings highlight the need for initiatives that promote equal educational experiences, ensuring comprehensive specialty exposure to all students.

Improving Time to Diagnostic Resolution in the Breast Imaging Service: A Tertiary Center's Experience and Process of Improvement.

OBJECTIVE: Breast imaging services often experience a significant degree of variability in patient flow, leading to delay in time to diagnostic resolution, commonly referred to as time to resolution (TTR). This study applies Lean Six Sigma Methodology (LSSM) to reduce TTR and enhance patient outcomes. METHODS: This study was IRB-approved. A baseline audit was done using cases of mammographic recalls (BI-RADS 0) to measure baseline TTR. Multidisciplinary meetings with all members of the breast imaging service, alongside a study of patient complaint data, were utilized to identify issues that were causing prolonged TTR. Following that, possible solutions were proposed and implemented. A post-implementation audit was conducted, and the resulting TTRs were compared. Significant differences in TTR between the pre- and post-solution implementation were assessed using the Mann-Whitney U test. RESULTS: During the baseline audit of 8 months, 589 cases of mammographic recalls (BI-RADS 0) were identified, and the resulting average TTR was 86.3 days. During the post-implementation period of 3 months, 370 mammographic recalls (BI-RADS 0) occurred, with a resulting average TTR of 36.0 days. After applying LSSM, TTR was reduced by 58.3% (P < 0.01). Some changes implemented included training the coordinators, establishing a rapid diagnostic clinic using previously underutilized equipment, and having radiologists assigned full-time to the breast imaging service. CONCLUSION: Our team has successfully managed to identify various causes behind the prolonged TTR using LSSM. Team collaboration was essential to study and decide on a more achievable TTR.