Abstract
AbstractObjectivesEnsuring equity, inclusivity, and diversity in health professions selection is an ethical and practical imperative. We have built the first known online asynchronous Multiple Mini-Interview (MMI).We aimed to explore psychometric properties for all users with sub-group analysis by key characteristics, acceptability, and usability.Design, setting, participantsCross-discipline multi-method evaluation with applicants to Nursing, Midwifery and Paramedic Science under-graduate programmes from one UK university (2021/2022).Primary, secondary outcome measuresPsychometric properties (internal consistency, construct validity, dimensionality) were assessed using Cronbach’s alpha (α), parallel analysis (PA), Schmid-Leiman transformation and ordinal confirmatory factor analysis (CFA). Usability and acceptability were evaluated using descriptive statistics and conventional content analysis.MethodsThe system was configured in a seven question four-minute MMI. Applicants’ video-recorded their answers which were later assessed by interviewers and scores summed. Applicants and interviewers completed online evaluation questionnaires.ResultsPerformance data from 712 applicants determined good-excellent reliability for the asynchronous MMI assessment (mean α 0.72) with similar results across sub-groups (gender, age, disability/support needs, UK/non-UK). Parallel analysis and factor analysis results suggested that there were seven factors relating to the MMI questions with an underlying general factor that explained the variance in observed candidate responses. A confirmatory factor analysis testing a seven-factor hierarchical model showed an excellent fit to the data (Confirmatory Fit Index =0.99), Tucker Lewis Index =0.99, RMSE=0.034).Applicants (n=210) viewed the flexibility, relaxed environment, and cost savings advantageous. Interviewers (n=65) reported the system intuitive, flexible with >70% time saved compared to face-to-face interviews. Reduced personal communication was cited as the principle disadvantage.ConclusionsOur findings suggest that the asynchronous MMI is reliable, time-efficient, fair, and acceptable. In the absence of any known precedent, these internationally applicable, cross discipline insights inform the future configuration of online interviews where building-in principles for fairness are relatively straight forward to implement.Study strengths and limitationsThe theoretical approach aligned with an iterative process necessary to design a new technology to reduce bias.The large sample enabled us to assess psychometric properties with sub-group analysis for the first time in this context.The study provides perspectives from one large site; a necessary step to inform a planned international multi-site evaluation.The multi-method design provided insights necessary to embed fairness into online selection approaches in the absence of best practice guidance.
Publisher
Cold Spring Harbor Laboratory
Reference35 articles.
1. Council of Deans of Health Equality, Diversity, and Inclusion: https://www.councilofdeans.org.uk/category/policy/equality-diversity-and-inclusion/. Accessed 06.03.23.
2. United Nations Department of Economic and Social Affairs 17 Sustainable Development Goals: https://sdgs.un.org/goals. Accessed 06.03.23.
3. https://www.oecd.org/publications/the-post-covid-19-rise-in-labour-shortages-e60c2d1c-en.htm
4. Sabesan V , Kapur N , Zemanek K , Levitt D , Vu T , Erp A. Implementation and evaluation of virtual multiple mini-interviews as a selection tool for entry into paediatric postgraduate training: A Queensland experience. Medical Teacher Published online: 30 Aug 2021. https://doi.org/10.1080/0142159X.2021.1967906
5. Cleland J , Chu J , Lim S , Low J , Lowe-Beer N , Kwek T. COVID-19: designing and conducting an on-line mini-multiple interview (MMI) in a dynamic landscape. Medical Teacher. 2020. May: 1–5. https://doi.org/10.1080/0142159X.2020.1762851.