Dong Ting, Kelly William, Hays Meredith, Berman Norman B, Durning Steven J
Uniformed Services University of the Health Sciences (USUHS), Bethesda, USA.
Department of Medicine (A3068), USUHS, 4301 Jones Bridge Road, Bethesda, MD, 20814, USA.
BMC Med Educ. 2017 Jan 6;17(1):3. doi: 10.1186/s12909-016-0840-9.
This study explored the use of virtual patient generated data by investigating the association between students' unprofessional patient summary statements, which they entered during an on-line virtual patient case, and detection of their future unprofessional behavior.
At the USUHS, students complete a number of virtual patient encounters, including a patient summary, to meet the clerkship requirements of Internal Medicine, Family Medicine, and Pediatrics. We reviewed the summary statements of 343 students who graduated in 2012 and 2013. Each statement was rated with regard to four features: Unprofessional, Professional, Equivocal (could be construed as unprofessional), and Unanswered (students did not enter a statement). We also combined Unprofessional and Equivocal into a new category to indicate a statement receiving either rating. We then examined the associations of students' scores on these categories (i.e. whether received a particular rating or not) and Expertise score and Professionalism score reflected by a post-graduate year one (PGY-1) program director (PD) evaluation form. The PD forms contained 58 Likert-scale items designed to measure the two constructs (Expertise and Professionalism).
The inter-rater reliability of statements coding was high (Cohen's Kappa = .97). The measure of receiving an Unprofessional or Equivocal rating was significantly correlated with lower Expertise score (r = -.19, P < .05) as well as lower Professionalism score (r = -.17, P < .05) during PGY-1.
Incident reports and review of routine student evaluations are what most schools rely on to identify the majority of professionalism lapses. Unprofessionalism reflected in student entries may provide additional markers foreshadowing subsequent unprofessional behavior.
本研究通过调查学生在在线虚拟患者病例中输入的不专业患者总结陈述与对其未来不专业行为的检测之间的关联,探讨了虚拟患者生成数据的使用情况。
在美国卫生科学大学,学生们要完成一些虚拟患者问诊,包括一份患者总结,以满足内科、家庭医学和儿科学实习要求。我们回顾了2012年和2013年毕业的343名学生的总结陈述。每份陈述根据四个特征进行评分:不专业、专业、模棱两可(可被解释为不专业)和未作答(学生未输入陈述)。我们还将“不专业”和“模棱两可”合并为一个新类别,以表明获得这两种评分中的任何一种的陈述。然后,我们检查了学生在这些类别上的得分(即是否获得特定评分)与研究生一年级(PGY - 1)项目主任(PD)评估表所反映的专业技能得分和职业素养得分之间的关联。PD评估表包含58个李克特量表项目,旨在衡量这两个构念(专业技能和职业素养)。
陈述编码的评分者间信度很高(科恩kappa系数 = 0.97)。在PGY - 1期间,获得不专业或模棱两可评分与较低的专业技能得分(r = -0.19,P < 0.05)以及较低的职业素养得分(r = -0.17,P < 0.05)显著相关。
事件报告和对学生常规评估的审查是大多数学校用来识别大多数职业素养失误的依据。学生条目中反映出的不专业行为可能为后续的不专业行为提供额外的预示指标。