Postgraduate medical journal
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Randomized Controlled Trial
Educational impact and recommendations from implementation of student-led clinical trial recruitment: a mixed-methods study.
Medical students have an essential role in medical research, yet often lack opportunities for involvement within randomised trials. This study aimed to understand the educational impact of clinical trial recruitment for medical students. Tracking wound infection with smartphone technology (TWIST) was a randomised controlled trial that included adult patients undergoing emergency abdominal surgery across two university teaching hospitals. ⋯ Student recruitment in clinical trials is feasible and accelerates recruitment to clinical trials. Students demonstrated novel clinical research competencies and increased their likelihood of future involvement. Adequate training, support and selection of suitable trials are essential for future student involvement in randomised trials.
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Our aim was to use the constructed machine learning (ML) models as auxiliary diagnostic tools to improve the diagnostic accuracy of non-ST-elevation myocardial infarction (NSTEMI). ⋯ The ML model constructed based on clinical data can be used as an auxiliary tool to improve the accuracy of NSTEMI diagnosis. According to our comprehensive evaluation, the performance of the extreme gradient boosting model was the best.
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To elicit internal medicine residents' perspectives on wellness through poetry writing, examining (1) response rates, (2) the tone/sentiment of their submissions and (3) the primary thematic content. ⋯ Poetry appears to be an innovative and effective vehicle to elicit residents' perspectives without compromising response rate. Poetry survey techniques allow medical trainees to provide powerful messaging to leadership. Most of what is known about trainee wellness is derived from quantitative surveys. This study showed medicine trainees' willingness to engage in poetry and add richness and personal detail to highlight key drivers of wellness. Such information provides context and brings attention in a compelling manner to an important topic.
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Observational Study
Monitoring real-time junior doctor sentiment from comments on a public social media platform: a retrospective observational study.
To investigate whether sentiment analysis and topic modelling can be used to monitor the sentiment and opinions of junior doctors. ⋯ Some topics discussed in social media are comparable to those queried in traditional questionnaires, whereas other topics are distinctive and offer insight into what themes junior doctors care about. Events during the coronavirus pandemic may explain the sentiment trends in the junior doctor community. Natural language processing shows significant potential in generating insights into junior doctors' opinions and sentiment.