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Developing a robust tool: advancing the multiple mini interview in pre-registration student midwife selection in a UK setting

机译:开发强大的工具:在英国进行预先注册学生助产士选择的多重迷你访谈

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摘要

Background: Published research has shown the multiple mini interview (MMI) to be a reliable assessment instrument in medical and nursing student selection internationally.\udObjectives: To develop, pilot and examine the reliability of MMIs in pre-registration student midwife selection in one Higher Education Institution a UK setting. \udDesign and setting: 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. DeVellis’s framework for questionnaire development underpinned the generation of interview scenarios. Participants’ responses to scenario questions were rated on a 7 point scale. Internal consistency was calculated for each station.\udResults: An eight station model was piloted. Communication skills were assessed 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. \udCronbach’s alpha scores for each station ranged from 0.91 – 0.97. \udConclusion: 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.
机译:背景:已发表的研究表明,多重迷你面试(MMI)是国际上医学和护理专业学生选择的可靠评估工具。\ ud目标:开发,试行和检验MMI在高中预注册学生助产士选择中的可靠性英国教育机构。 \ ud设计与设置:英国高等教育机构的荣誉理学学士学位课程的学生在课程的第一周自愿参加了“模拟” MMI巡回赛。 DeVellis的问卷开发框架为访谈方案的产生奠定了基础。参与者对情景问题的回答得分为7分。计算每个站点的内部一致性。\ ud结果:试运行了八个站点模型。每个站点的沟通技能均作为通用属性进行评估。评估的电台特有属性包括同情心和同情心,尊重差异和多样性,诚实和正直,求知欲和反思性,倡导,尊重隐私和尊严,团队合作和主动性,助产士的作用以及成为助产士的动机。 \ udCronbach每个电台的Alpha得分在0.91至0.97之间。 \ ud结论:MMI模型和方案的系统开发导致所有站点的“卓越”可靠性。这些发现支持MMI技术可以作为个人面试的可靠替代方法,从而在预注册学生助产士选择中告知最终决定。

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