Ayub Rukhsana, Yousuf Naveed, Asad Munazza, Khan Umer Ali
Al Nafees Medical College, Isra University, Islamabad.
Agha Khan University, Karachi, Pakistan.
J Pak Med Assoc. 2017 Dec;67(12):1905-1909.
Student selection for Undergraduate Medical Education Programmes (UGME) is a highly selective process globally. Health care practice requires many attributes like communication skills, professionalism, critical thinking and problem solving in addition to cognitive abilities. This study reports the development and administration of Multiple Mini Interviews (MMI), the descriptive and psychometric properties of the MMI station scores and assesses the validity of MMI stations to ascertain if the stations measured the intended attributes. Nine attributes considered most essential for a successful health care professional were selected. A 5 point rating scale was used to rate each item on the station. The scores were then converted into percentage scores. The mean scores on each MMI station ranged from 27.4% to 80.0%. The reliability of stations using Cronbach's alpha ranged from 0.64 to 0.98. MMI can be used to make reliable and valid decisions to select students with desired non cognitive attributes.
本科医学教育项目(UGME)的学生选拔在全球范围内都是一个极具选择性的过程。医疗保健实践除了需要认知能力外,还需要许多其他特质,如沟通技巧、专业素养、批判性思维和解决问题的能力。本研究报告了多重迷你面试(MMI)的开发与实施、MMI站点分数的描述性和心理测量学特性,并评估了MMI站点的有效性,以确定这些站点是否测量了预期的特质。选择了九个被认为对成功的医疗保健专业人员最为重要的特质。使用5分制评分量表对站点上的每个项目进行评分。然后将分数转换为百分比分数。每个MMI站点的平均分数在27.4%至80.0%之间。使用克朗巴赫α系数计算的站点信度在0.64至0.98之间。MMI可用于做出可靠且有效的决策,以选拔具有所需非认知特质的学生。