开发和试点测试 OTC 教练软件以支持学生药剂师的学习

Sarah E. Vordenberg, Paige Whittaker, Ken DeBacker, Michael Dorsch
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摘要

问题描述:药剂学专业的学生需要学习病情和患者的特定因素如何影响用药决策。我们的目标是创建一个互动学习工具,在学生学习个人因素如何改变非处方药 (OTC) 建议时为他们提供支持。创新说明:创建 OTC 教练的目的是让学生药剂师练习如何提出非处方药建议。参加自我保健治疗学必修课程的一年级学生药剂师可以使用可选的 OTC 教练,其中包括 10 个主题的电子决策算法。通过在线调查收集了学生的看法。 批判性分析:参加自我保健治疗学课程的一年级学生中有三分之二激活了他们的 OTC Coach 账户(n=53/79,67%)。在完成调查并报告使用该工具的学生中(n=60/75,80%),他们一致认为该工具有助于他们学习课程材料(78%),增强了他们提出适当治疗建议的信心(78%),增强了他们回答考试问题的信心(63%),并提高了他们的考试成绩(61%)。下一步计划根据学生的自我报告,实施电子工具对学生学习非处方药物推荐有积极的帮助。目前正在对该工具进行扩展,使其包括一个选项,供学生生成一系列具有随机患者和病情因素的情景,从而进一步让学生高效地反复练习以患者为中心的用药建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and Pilot Testing of the OTC Coach Software to Support Student Pharmacist Learning
Description of the problem: Pharmacy students are expected to learn how condition and patient-specific factors influence medication decision-making. Our objective was to create an interactive learning tool that would support students as they learn how individual factors change over-the-counter (OTC) medication recommendations. Description of the innovation: OTC Coach was created to allow student pharmacists to practice making recommendations about OTC medications. First year student pharmacists enrolled in a required self-care therapeutics course were given access to the optional OTC Coach, which included electronic decision algorithms for 10 topics. Student perceptions were collected via an online survey.  Critical analysis: Two-thirds of the first-year students enrolled in the self-care therapeutics course activated their OTC Coach account (n=53/79, 67%). Among the students who completed the survey and reported using the tool (n=60/75, 80%), there was agreement that it help them learn the course material (78%), increased their confidence in making appropriate therapeutic recommendations (78%), increased their confidence when answering examination questions (63%), and improved their examination performance (61%). Next steps: Implementing an electronic tool positively supported student learning about OTC medication recommendations, according to student self-report. The tool is being expanded to include an option for students to generate a series of scenarios with randomized patient and condition factors to further allow students to efficiently practice making repeated patient-centered recommendations.
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