Queensland Paediatric Training Network, Queensland Rural Medical Service (Darling Downs Health, Queensland Health), Brisbane, Queensland, Australia.
College of Medicine and Dentistry at James Cook University, Townsville, Queensland, Australia.
Med Teach. 2023 Oct;45(10):1148-1154. doi: 10.1080/0142159X.2023.2195969. Epub 2023 Apr 5.
The Queensland Basic Paediatric Training Network (QBPTN) is responsible for the selection of candidates into paediatric training in Queensland. The COVID-19 pandemic necessitated interviews to be conducted 'virtually' as virtual Multiple-Mini-Interviews (vMMI). The study aimed to describe the demographic characteristics of candidates applying for selection into paediatric training in Queensland, and to explore their perspectives and experiences with the vMMI selection tool.
The demographic characteristics of candidates and their vMMI outcomes were collected and analysed with a mixed methods approach. The qualitative component was comprised of seven semi-structured interviews with consenting candidates.
Seventy-one shortlisted candidates took part in vMMI and 41 were offered training positions. The demographic characteristics of candidates at various stages of selection were similar. The mean vMMI scores were not statistically different between candidates from the Modified Monash Model 1 (MMM1) location and others [mean (SD): 43.5 (5.1) versus 41.7 (6.7), respectively, = 0.26]. However, there was a statistically significant difference ( value 0.03) between being offered and not offered a training position for candidates from MMM2 and above. The analysis of the semi-structured interviews suggested that candidate experiences of the vMMI were influenced by the quality of the management of the technology used. Flexibility, convenience, and reduced stress were the main factors that influenced candidates' acceptance of vMMI. Perceptions of the vMMI process focused on the need to build rapport and facilitate communication with the interviewers.
vMMI is a viable alternative to face-to-face (FTF) MMI. The vMMI experience can be improved by facilitating enhanced interviewer training, by making provision for adequate candidate preparation and by having contingency plans in place for unexpected technical challenges. Given government priorities in Australia, the impact of candidates' geographical location on the vMMI outcome for candidates from MMM >1 location needs to be further explored.
昆士兰基础儿科培训网络(QBPTN)负责在昆士兰州选拔儿科培训候选人。由于 COVID-19 大流行,面试需要以“虚拟”的方式进行,即虚拟多迷你面试(vMMI)。本研究旨在描述申请在昆士兰州接受儿科培训的候选人的人口统计学特征,并探讨他们对 vMMI 选拔工具的看法和经验。
使用混合方法收集和分析候选人的人口统计学特征及其 vMMI 结果。定性部分包括对同意参加的候选人进行的七次半结构化访谈。
71 名入围候选人参加了 vMMI,41 人获得了培训职位。在选拔的各个阶段,候选人的人口统计学特征相似。来自改良蒙纳士模式 1(MMM1)地点的候选人与其他候选人的 vMMI 平均分数没有统计学差异[分别为 43.5(5.1)和 41.7(6.7), = 0.26]。然而,对于来自 MMM2 及以上地点的候选人,获得和未获得培训职位之间存在统计学上的显著差异( 值为 0.03)。半结构化访谈的分析表明,候选人对 vMMI 的体验受到所使用技术管理质量的影响。灵活性、便利性和降低压力是影响候选人接受 vMMI 的主要因素。对 vMMI 过程的看法集中在建立与面试官的融洽关系和促进沟通的必要性上。
vMMI 是面对面(FTF)MMI 的可行替代方案。通过促进增强面试官培训、为候选人提供充分的准备和制定应急计划以应对意外的技术挑战,可以提高 vMMI 的体验。鉴于澳大利亚政府的优先事项,需要进一步探讨候选人地理位置对来自 MMM >1 地点的候选人 vMMI 结果的影响。