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Computer aided learning to link evidence to paediatric learning and practice: a pilot in a medical school in a low income setting

机译:计算机辅助学习将证据与儿科学习和实践联系起来:低收入背景下医学院的一名飞行员

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摘要

Bridging the gap between research evidence and practice is problematic in low income settings. Wereport medical students' experience with a pilot computer aided learning (CAL) program developed to enable students to explore research evidence supporting national guidelines. We asked 50 students to enter data from pre-set clinical scenarios, diagnose the severity of pneumonia/asthma and suggest treatment and then compare their diagnosis and treatment with that suggested by a computer algorithm based on the guidelines. Links to evidence supporting the guideline-suggested diagnosis and treatment were provided. Brief evidence summaries and video clips were accessed by 92% of students and full text articles by 86%. The majority of the students showed an interest in the CAL approach and suggested the scope of the approach be expanded to other illnesses. Such a system might provide one means to help students understand the link between research and policy and ultimately influence practice.
机译:在低收入环境中,弥合研究证据与实践之间的差距是有问题的。通过试验性计算机辅助学习(CAL)程序向医学生报告了经验,使学生能够探索支持国家指南的研究证据。我们让50名学生从预设的临床情况中输入数据,诊断出肺炎/哮喘的严重程度并提出治疗建议,然后将其诊断和治疗与基于该准则的计算机算法所建议的进行比较。提供了指向支持指南建议的诊断和治疗的证据的链接。 92%的学生访问了简短的证据摘要和视频剪辑,而86%的学生访问了全文。大多数学生对CAL方法表现出兴趣,并建议将该方法的范围扩大到其他疾病。这样的系统可能提供一种手段来帮助学生了解研究与政策之间的联系,并最终影响实践。

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