ArticleJournal of medical education and curricular development
Insights of Medical Students and Graduates Toward Electronic Learning During the COVID-19 Pandemic in Lebanon: A National Cross-Sectional Study.
Article in Journal of medical education and curricular development. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 1 citations in OpenAlex.
- From positive psychology to practical empowerment: theoretical construction and pathway innovation in graduate student mental health education.Frontiers in psychology · 2026Pooled it
- E-learning Challenges among Healthcare Students: A Scoping Review.Journal of advances in medical education & professionalism · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThis study examines the perceptions of Lebanese medical students and graduates regarding the switch to electronic learning (e-learning) and measures their psychological distress amid the COVID-19 pandemic, compounded by an unprecedented financial collapse and the August 4 Beirut blast.
methodsThis is a national cross-sectional descriptive study, consisting of a 48-item questionnaire, diffused online to Lebanese medical students between February 8 and 21, 2021. The survey divided into 5 sections assesses for (1) Sociodemographic information, (2) implemented changes in medical education delivery precipitated by the pandemic, (3) students' perceptions regarding the effectiveness, advantages, and barriers of e-learning, and (4) role of e-learning in clinical training. Finally, students' psychological distress was measured, using the Kessler 10-item distress scale (K10). Descriptive analyses were performed using Stata version 13 and Excel.
results1060 responses were recorded (27% response rate) across all Lebanese medical schools. Although 71.6% of participants found e-learning to be stimulating, half of the participants thought it was not equally effective to face-to-face learning. Around 73.1% of students felt they were not able to learn hands-on clinical skills. Lebanese students identified cost savings (food, transportation etc) and poor internet connectivity are the most common advantage and barrier, respectively; 77.8% of participants showed high/very high levels of distress (K10 score ≥22).
conclusionsEnsuring accessibility and availability of resources such as electricity and internet is of utmost priority. Lebanese medical schools need to incorporate clinical training experiences to their virtual platforms to maintain the quality of medical education to their students. A particular attention to students' mental health is warranted, by increasing awareness and access to mental health services.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.