Baycare Health System, Mease Countryside Hospital, Safety Harbor, Florida.
Bernard J. Dunn School of Pharmacy, Shenandoah University, Winchester, Virginia.
Am J Pharm Educ. 2019 Feb;83(1):6499. doi: 10.5688/ajpe6499.
To determine the critical thinking skills, critical thinking disposition, and personal strengths that contribute to student success and excellence in the first year of a doctor of pharmacy (PharmD) program. Student pharmacists from three cohorts completed the Health Sciences Reasoning Test (HSRT) to assess their critical thinking skills, the California Critical Thinking Disposition Inventory (CCTDI) to assess their critical thinking disposition, and the StrengthsFinder 2.0 assessment to determine their top five Signature Themes. HSRT overall categories, CCTDI subcategories, and top five Signature Themes were analyzed to determine both independent predictors and a logistic regression model of success and excellence. HSRT and the Signature Theme of Consistency were independently associated with both success and excellence. CCTDI Open-mindedness and the Signature Themes of Achiever and Learner were also independent predictors of excellence. Age and several Signature Themes were negative independent predictors of success. In a multiple logistic regression model, HSRT overall category and the absence of Signature Themes Command and Woo predicted success and HSRT overall category predicted excellence. This is the first model to determine performance in the first year of PharmD program using Signature Themes. Critical thinking skills, the critical thinking disposition of Open-mindedness and the Signature Themes of Achiever, Consistency, and Learner are associated with the highest student performance.
确定有助于学生在药学博士(PharmD)课程第一年取得成功和卓越的批判性思维技能、批判性思维倾向和个人优势。来自三个队列的学生药剂师完成了健康科学推理测试(HSRT),以评估他们的批判性思维技能,加利福尼亚批判性思维倾向量表(CCTDI)评估他们的批判性思维倾向,以及 StrengthsFinder 2.0 评估以确定他们的前五个签名主题。分析了 HSRT 总体类别、CCTDI 子类别和前五个签名主题,以确定成功和卓越的独立预测因素和逻辑回归模型。HSRT 和一致性签名主题与成功和卓越均独立相关。CCTDI 的开放性和成就者、学习者签名主题也是卓越的独立预测因素。年龄和几个签名主题是成功的负独立预测因素。在多元逻辑回归模型中,HSRT 总体类别和缺乏签名主题指挥和吸引力预测成功,而 HSRT 总体类别预测卓越。这是第一个使用签名主题确定 PharmD 课程第一年表现的模型。批判性思维技能、开放性的批判性思维倾向以及成就者、一致性和学习者的签名主题与学生的最高表现相关。