Are different station formats assessing different dimensions in multiple mini-interviews? Findings from the Canadian integrated French multiple mini-interviews.

Background: Multiple mini-interviews (MMI) are used to assess non-academic attributes for selection in medicine and other healthcare professions. It remains unclear if different MMI station formats (discussions, role-plays, collaboration) assess different dimensions.

Methods: Based on station formats of the 2018 and 2019 Integrated French MMI (IFMMI), which comprised five discussions, three role-plays and two collaboration stations, the authors performed confirmatory factor analysis (CFA) using the lavaan 0.

Black students applying and admitted to medicine in the province of Quebec, Canada: what do we know so far?

To address the underrepresentation of Black students in medical schools in Canada and identify barriers in selection processes, we compare data from the latest Canadian census to that of an exit-survey conducted after a situational judgment test (Casper) among medical school applicants and from questionnaires done after selection interviews in Quebec, Canada. The proportion of Black people aged 15-34 years old in Quebec in 2016 was 5.3% province-wide and 8.

Accuracy of rating scale interval values used in multiple mini-interviews: a mixed methods study.

When determining the score given to candidates in multiple mini-interview (MMI) stations, raters have to translate a narrative judgment to an ordinal rating scale. When adding individual scores to calculate final ranking, it is generally presumed that the values of possible scores on the evaluation grid are separated by constant intervals, following a linear function, although this assumption is seldom validated with raters themselves. Inaccurate interval values could lead to systemic bias that could potentially distort candidates' final cumulative scores.

Impact of sociodemographic characteristics of applicants in multiple mini-interviews.

Background: Multiple mini-interviews (MMI) are commonly used for medical school admission. This study aimed to assess if sociodemographic characteristics are associated with MMI performance, and how they may act as barriers or enablers to communication in MMI.

Methods: This mixed-method study combined data from a sociodemographic questionnaire, MMI scores, semi-structured interviews and focus groups with applicants and assessors.

Clinical reasoning processes: unravelling complexity through graphical representation.

Context: Clinical reasoning is a core skill in medical practice, but remains notoriously difficult for students to grasp and teachers to nurture. To date, an accepted model that adequately captures the complexity of clinical reasoning processes does not exist. Knowledge-modelling software such as mot Plus (Modelling using Typified Objects [MOT]) may be exploited to generate models capable of unravelling some of this complexity.