Article 2014

Measurement of perceptions of educational environment in evidence-based medicine

Evidence-Based Medicine
Journal · Vol. 19 · Issue 4 · pp. 123-131
Abstract

In recent years, there has been a renewed interest in measuring perceptions regarding different aspects of the medical educational environment. A reliable tool was developed for measuring perceptions of the educational environment as it relates to evidence-based medicine as part of a multicountry randomised controlled trial to evaluate the effectiveness of a clinically integrated evidence-based medicine course. Participants from 10 specialties completed the questionnaire. A working dataset of 518 observations was available. Two independent subsets of data were created for conducting an exploratory factor analysis (n=244) and a confirmatory factor analysis (n=274), respectively. The exploratory factor analysis yielded five 67-item definitive instruments, with five to nine dimensions; all resulted in acceptable explanations of the total variance (range 56.6-65.9%). In the confirmatory factor analysis phase, all goodness-of-fit measures were acceptable for all models (root mean square error of approximation ≤0.047; comparative fit index≥0.980; normed χ2 ≤1.647; Bentler-Bonett normed fit index ≥0.951). The authors selected the factorisation with seven dimensions (factor-7 instrument) as the most useful on pragmatic grounds and named it Evidence-Based Medicine Educational Environment Measure 67 (EBMEEM-67). Cronbach's α for subscales ranged between 0.81 and 0.93. The subscales are: 'Knowledge and learning materials'; 'Learner support'; 'General relationships and support'; 'Institutional focus on EBM'; 'Education, training and supervision'; 'EBM application opportunities'; and 'Affirmation of EBM environment'. The EBMEEM-67 can be a useful diagnostic and benchmarking tool for evaluating the perceptions of residents of the environment in which evidence-based medicine education takes place.

Keywords

Author Keywords

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Index Keywords

learning human medical education psychology questionnaire Humans Internship and Residency medical student Students, Medical perception Factor Analysis, Statistical evidence based medicine Evidence-Based Medicine factorial analysis Questionnaires
Author Affiliations
University of Pretoria, Pretoria, Gauteng, South Africa
Department of Medical Education, Keck School of Medicine of USC, Los Angeles, CA, United States
Organisation Mondiale de la Santé, Geneva, Switzerland
Blizard Institute, Barts and The London School of Medicine and Dentistry, London, United Kingdom
Funding & Acknowledgements
No funding information
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