Callwood Alison, Cooke Debbie, Allan Helen
School of Health and Social Care, University of Surrey, United Kingdom.
School of Health and Social Care, University of Surrey, United Kingdom.
Nurse Educ Today. 2014 Dec;34(12):1450-4. doi: 10.1016/j.nedt.2014.04.023. Epub 2014 May 14.
Published research has demonstrated that the multiple mini-interview (MMI) is a reliable assessment instrument in medical and nursing student selection. There is a dearth of evidence specifically relating to the advancement and subsequent evaluation of MMIs in the context of student midwife selection.
To develop, pilot and examine the reliability of MMIs in pre-registration student midwife selection in a UK setting.
DeVellis' framework for questionnaire development underpinned the generation of MMI scenarios. BSc (Hons) Midwifery Studies students at a Higher Education Institution in the UK volunteered to participate in 'mock' MMI circuits during the first week of their programme.
An eight station model was piloted. Communication skills were rated at each station as a generic attribute. Station specific attributes assessed included: compassion and empathy; respect for difference and diversity; honesty and integrity; intellectual curiosity and reflective nature; advocacy; respect for privacy and dignity; team working and initiative; the role of the midwife and motivation to become a midwife. Participants' responses to scenario questions were rated on a 7 point scale. Cronbach's alpha scores measuring internal consistency ranged from 0.91 to 0.97 CONCLUSION: The systematic development of the MMI model and scenarios resulted in 'excellent' reliability across all stations. These findings endorse the MMI technique as a reliable alternative to the personal interview in informing final decisions in pre-registration student midwife selection.
已发表的研究表明,多重迷你面试(MMI)是医学和护理专业学生选拔中一种可靠的评估工具。在助产专业学生选拔的背景下,缺乏专门关于MMI的改进及后续评估的证据。
在英国环境中开发、试行并检验MMI在预注册助产专业学生选拔中的可靠性。
Devellis的问卷开发框架为MMI情景的生成提供了支撑。英国一所高等教育机构的理学学士(荣誉)助产研究专业学生在其课程的第一周自愿参加“模拟”MMI环节。
试行的是一个八站模型。沟通技巧在每个站点被评定为一项通用属性。所评估的特定站点属性包括:同情心和同理心;对差异和多样性的尊重;诚实和正直;求知欲和反思性;倡导;对隐私和尊严的尊重;团队合作和主动性;助产士的角色以及成为助产士的动机。参与者对情景问题的回答按7分制评分。衡量内部一致性的Cronbach's alpha分数范围为0.91至0.97。结论:MMI模型和情景的系统开发在所有站点都产生了“极佳”的可靠性。这些发现支持MMI技术作为个人面试的可靠替代方法,为预注册助产专业学生选拔的最终决策提供依据。