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Dataset Information

Feasibility of an automated interview grounded in multiple mini interview (MMI) methodology for selection into the health professions: an international multimethod evaluation.


ABSTRACT:

Objectives

Global, COVID-driven restrictions around face-to-face interviews for healthcare student selection have forced admission staff to rapidly adopt adapted online systems before supporting evidence is available. We have developed, what we believe is, the first automated interview grounded in multiple mini-interview (MMI) methodology. This study aimed to explore test-retest reliability, acceptability and usability of the system.

Design, setting and participants

Multimethod feasibility study in Physician Associate programmes from two UK and one US university during 2019-2020.

Primary, secondary outcomes

Feasibility measures (test-retest reliability, acceptability and usability) were assessed using intraclass correlation (ICC), descriptive statistics, thematic and

SUBMITTER: Callwood A 

PROVIDER: S-EPMC8830226 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature