Sleep Medicine Knowledge Among Graduating Medical Students in Lebanon During an Economic and Political Crisis: A Preliminary Survey

• Published in: Sleep science (São Paulo, SP ) SP ), 2023-09, Vol.16 (3), p.e300-e309
• Main Authors: Aoun, Raissa, Zibara, Victor, Costanian, Christy, Attarian, Hrayr P., Bahous, Sola Aoun
• Format: Article
• Language: English
• Subjects: Lebanon; medical education; Original; sleep medicine; surveys
• ISSN: 1984-0659; 1984-0063
• DOI: 10.1055/s-0043-1772828

Objectives Sleep disorders are prevalent and underrecognized during both economic and political crises. They are a major reason for poor overall health and decreased quality of life. Sleep medicine education is limited at most medical schools, resulting in limited awareness of this important aspect of healthcare. The aim of the study is to assess sleep medicine knowledge of graduating medical students in Lebanon and to assess their readiness to tackle sleep health issues in a country during an unprecedented crisis. Methods Final-year medical students at 7 medical schools in Lebanon were invited to fill a survey between January 2020 and March 2021. The Assessment of Sleep Knowledge in Medical Education survey was used to assess their knowledge in sleep medicine. The curriculum organizers at the medical schools were also surveyed. Student's t-test was used for analysis. Results 158 and 58 students completed the survey during 2020 and 2021, with a mean overall score on sleep knowledge of was 17.5 and 15.9 /30, respectively. There was no difference in mean knowledge scores by gender, age, American versus European medical school systems, and between medical schools that included sleep medicine in their curriculum versus those that did not. Conclusions Presence of sleep medicine education in the curriculum was associated with higher scores on ASKME among graduating Lebanese medical students. Given the low response rate, however, this descriptive pilot data could be used as a launching pad for a larger study, with a more representative sample, for generalizable results.