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即时师资发展:移动应用程序帮助临床教师验证和描述临床推理困难。

Just-in-time faculty development: a mobile application helps clinical teachers verify and describe clinical reasoning difficulties.

机构信息

Department of Family and Emergency Medicine, Université de Sherbrooke, Sherbrooke, Canada.

Faculty of Medicine, Université de Genève, Geneva, Switzerland.

出版信息

BMC Med Educ. 2019 Apr 30;19(1):120. doi: 10.1186/s12909-019-1558-2.

Abstract

BACKGROUND

Although clinical teachers can often identify struggling learners readily and reliably, they can be reluctant to act upon their impressions, resulting in failure to fail. In the absence of a clear process for identifying and remediating struggling learners, clinical teachers can be put off by the prospect of navigating the politically and personally charged waters of remediation and potential failing of students.

METHODS

To address this gap, we developed a problem-solving algorithm to support clinical teachers from the identification through the remediation of learners with clinical reasoning difficulties, which have significant implications for patient care. Based on this algorithm, a mobile application (Pdx) was developed and assessed in two emergency departments at a Canadian university, from 2015 to 2016, using interpretive description as our research design. Semi-structured interviews were conducted before and after a three-month trial with the application. Interviews were analysed both deductively, using pre-determined categories, and inductively, using emerging categories.

RESULTS

Twelve clinical teachers were interviewed. Their experience with the application revealed their need to first validate their impressions of difficulties in learners and to find the right words to describe them before difficulties could be addressed. The application was unanimously considered helpful regarding both these aspects, while the mobile format appeared instrumental in allowing clinical teachers to quickly access targeted information during clinical supervision.

CONCLUSIONS

The value placed on verifying impressions and finding the right words to pinpoint difficulties should be further explored in endeavours that aim to address the failure to fail phenomenon. Moreover, just-in-time mobile solutions, which mirror habitual clinical practices, may be used profitably for knowledge transfer in medical education, as an alternative form of faculty development.

摘要

背景

尽管临床教师通常能够轻易且准确地识别出学习困难的学生,但他们可能不愿采取行动,导致未能及时淘汰不合格学生。由于缺乏明确的识别和纠正学习困难学生的流程,临床教师可能会因为担心处理补救和潜在淘汰学生这一充满政治和个人风险的问题而望而却步。

方法

为了解决这一问题,我们开发了一个问题解决算法,以支持临床教师从识别到纠正临床推理困难的学习者,这对患者护理有重大影响。基于该算法,我们开发了一个移动应用程序(Pdx),并于 2015 年至 2016 年在加拿大一所大学的两个急诊部门进行了评估,采用解释性描述作为我们的研究设计。在应用程序试用前后,对 12 名临床教师进行了半结构化访谈。使用预定类别进行了演绎分析,并使用新兴类别进行了归纳分析。

结果

共对 12 名临床教师进行了访谈。他们使用该应用程序的经验表明,他们首先需要验证对学习者困难的印象,并找到合适的词汇来描述这些困难,然后才能解决这些困难。该应用程序在这两个方面都被一致认为是有帮助的,而移动格式似乎有助于临床教师在临床监督期间快速访问有针对性的信息。

结论

在解决未能淘汰不合格学生的现象的努力中,应该进一步探索验证印象和找到准确词汇来准确指出困难的价值。此外,类似于习惯性临床实践的即时移动解决方案可以作为教师发展的替代形式,用于医学教育中的知识转移。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6610/6492340/09a7d08ca16d/12909_2019_1558_Fig1_HTML.jpg

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