Analysis of Expert Feedback to Determine Intellectual Standards for Student Pharmacist Clinical Reasoning Development

通过分析专家反馈来确定药学学生临床推理能力发展的智力标准

阅读:3

Abstract

Objectives. Clinical reasoning (CR) is one of the most important skills for pharmacy learners. Feedback has been proposed as a pedagogy to improve CR skills; however, essential components of CR have yet to be determined within pharmacy education. This study sought to streamline feedback to align with the Pharmacists' Patient Care Process (PPCP).Methods. The investigators used deidentified clinical reasoning "Keep," "Start," or "Stop" (KSS) feedback comments from student-written CR "think-aloud" sessions with pharmacy students in their third professional year. Sections were mapped to the PPCP and were coded by 2 independent investigators according to proposed essential components of CR, using an adapted grounded-theory approach. Investigators could inductively add codes after conferring with the other. Coded feedback was analyzed using a summative content approach. Intercoder reliability was calculated via Holsti index.Results. Five essential components of CR were identified after analysis of 635 KSS comments. The 5 essential components of CR were coded 1178 times. "Accurate," "Concise," "Specific," and "Thorough" were identified a priori, while "Connected" was discovered during feedback comment review. Literature analysis added supporting data to these results through the Paul-Elder Critical Thinking Framework. To maintain consistency in language, these essential components will be referred to as "intellectual standards" moving forward.Conclusion. This novel study successfully identified 5 key intellectual standards of CR. These intellectual standards provide a framework for pharmacy educators to focus feedback to improve student CR. Future research of other intellectual standards pertinent to experiential education is imperative.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。