Culbertson Vaughn L
College of Pharmacy, Idaho State University, Pocatello, ID 83209-8333, USA.
Am J Pharm Educ. 2008 Oct 15;72(5):111. doi: 10.5688/aj7205111.
To evaluate early predictors of advanced pharmacy practice experience (APPE) performance using either timed pharmaceutical care plan (TPCP) reports of 4 case histories or traditional lecture-based pharmacotherapy course examinations.
Statistical process control (SPC) methods were used to identify a group of third-year pharmacy students "at risk" for poor APPE performance (defined as an APPE grade point average of < 3.0). Examination scores from an integrated lecture-based pharmacotherapy sequence were used for comparison.
TPCP scores but not lecture-based examination scores successfully identified 6 of 10 students who ultimately performed poorly in their APPEs.
Adaptation of SPC methods to assess student performance during problem-based learning (PBL) case reports is a useful technique for identifying students "at risk" for poor APPE performance.
使用4个病例的定时药学服务计划(TPCP)报告或传统的基于讲座的药物治疗课程考试,评估高级药学实践经验(APPE)表现的早期预测指标。
采用统计过程控制(SPC)方法,确定一组 APPE 表现不佳(定义为 APPE 平均绩点<3.0)的三年级药学专业学生。将基于讲座的综合药物治疗课程序列的考试成绩用于比较。
TPCP 分数而非基于讲座的考试分数成功识别出最终 APPE 表现不佳的10名学生中的6名。
将SPC方法应用于基于问题的学习(PBL)病例报告中以评估学生表现,是识别 APPE 表现不佳的“风险”学生的有用技术。