Zhang Cheng, Spruyt Karen, Komolafe Morenikeji, Mutschelknaus Mike, DelRosso Lourdes M, Steier Joerg
Centre for Human & Applied Sciences (CHAPS), Faculty of Life Sciences & Medicine, King's College London, London, UK.
Lane Fox Unit/Sleep Disorders Centre, Guy's & St Thomas' NHS Foundation Trust, London, UK.
J Thorac Dis. 2025 Aug 31;17(8):6339-6347. doi: 10.21037/jtd-2025-291. Epub 2025 Aug 28.
Although many studies suggest that shift work and nocturnal on-call rotations are associated with adverse outcomes in medical trainees' health, evidence regarding the optimal frequency and duration of shifts that balance trainee well-being, patient safety, and medical education remains limited. Additionally, the level of medical trainees' knowledge about sleep medicine and its possible relationship with their well-being during on-call periods remains unclear.
This study protocol was designed in collaboration between professional sleep physicians from the USA, UK, Nigeria and France as a global multi-centred, cross-sectional, online survey conducted through a secure online link (REDCap 14.0.42, Vanderbilt University, USA). The proposed design covers demographic characteristics, different specialties, work conditions, on-call situations, sleep, mood, and social issues, as well as other relevant health factors. The methodology includes univariate, multivariate analyses, and regression models. The intended analysis aims to investigate the impact of on-call duties, as well as sleep knowledge, on the sleep quality and well-being of medical trainees.
Through this study, we expect to explore how different shift scheduling patterns and levels of sleep knowledge may be associated with the sleep quality of medical trainees. In addition, cross-cultural comparisons among diverse linguistic and cultural contexts will be examined.
The study is registered on ClinicalTrials.gov (NCT06706453).
尽管许多研究表明轮班工作和夜间值班与医学实习生的健康不良后果有关,但关于平衡实习生福祉、患者安全和医学教育的最佳轮班频率和时长的证据仍然有限。此外,医学实习生对睡眠医学的了解程度及其在值班期间与自身福祉可能存在的关系仍不明确。
本研究方案由来自美国、英国、尼日利亚和法国的专业睡眠医生合作设计,是一项通过安全在线链接(美国范德比尔特大学的REDCap 14.0.42)进行的全球多中心横断面在线调查。拟议的设计涵盖人口统计学特征、不同专业、工作条件、值班情况、睡眠、情绪和社会问题,以及其他相关健康因素。该方法包括单变量、多变量分析和回归模型。预期分析旨在调查值班职责以及睡眠知识对医学实习生睡眠质量和福祉的影响。
通过本研究,我们期望探索不同的轮班安排模式和睡眠知识水平如何可能与医学实习生的睡眠质量相关。此外,还将在不同语言和文化背景下进行跨文化比较。
该研究已在ClinicalTrials.gov(NCT06706453)上注册。