Assessment of final-year medical students’ performance in diagnosing critical findings on chest X-ray

Osama Samara,Saif Aldeen AlRyalat,Lna Malkawi, Mo’ath Bani Ali,Areej Kilani, Zain Alkhalaileh,Lean Alkhatib, Ibrahim Hamad, Yazan Alawneh,Nosaiba Al-Ryalat,Soukaina Ryalat

EMERGENCY RADIOLOGY(2021)

引用 3|浏览3
暂无评分
摘要
Purpose Due to the recently emerging shortage in medical staff during the novel corona virus pandemic, several countries have rushed their undergraduate medical students into the emergency department. The accuracy of diagnosing critical findings on X-rays by senior medical students is not well assessed. In this study, we aim to assess the knowledge and accuracy of undergraduate final-year medical students in diagnosing life-threatening emergency conditions on chest x-ray. Method This is a cross-sectional nationwide survey across all medical schools in Jordan. Through an electronic questionnaire, participants were sequentially shown a total of six abnormal X-rays and one normal. For each X-ray, participants were asked to choose the most likely diagnosis, and to grade the degree of self-confidence regarding the accuracy of their answer in a score from 0 (not confident) to 10 (very confident). Results We included a total of 530 participants. All participants answered at least six out of seven questions correctly, out of them, 139 (26.2%) participants answered all questions correctly. Pneumoperitoneum was the highest correct answer (93.8%), whereas flail chest was the least correctly answered case with only 310 (58.5%) correct answers. Regarding self-confidence for each question, 338 participants (63.8%) reported very high overall self-confidence level. Answers related to tension pneumothorax had the highest confidence level. Conclusion Senior Jordanian medical students showed good knowledge with high confidence levels in diagnosing life-threatening conditions on chest x-rays, supporting their incorporation in the emergency department during pandemics and confirming the reliability of information they can extract.
更多
查看译文
关键词
Chest X-ray,,COVID-19,,Medical students,,Emergency
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要