Article Text

Measurement of perceptions of educational environment in evidence-based medicine
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  1. Anne-Marie Bergh1,
  2. Jackie Grimbeek1,
  3. Win May2,
  4. A Metin Gülmezoglu3,
  5. Khalid S Khan4,
  6. Regina Kulier3,
  7. Robert C Pattinson1
  1. 1Medical Research Council Unit for Maternal and Infant Health Care Strategies, University of Pretoria, Pretoria, South Africa
  2. 2Department of Medical Education, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
  3. 3World Health Organization, Geneva, Switzerland
  4. 4Women's Health Research Unit, The Blizard Institute, Barts and The London School of Medicine, Queen Mary, University of London, London, UK
  1. Correspondence to: Dr Anne-Marie Bergh
    Medical Research Council Unit for Maternal and Infant Health Care Strategies, University of Pretoria, Private Bag X323, Arcadia, Pretoria 0007, South Africa; anne-marie.bergh{at}up.ac.za

Extract

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.

  • Medical Education & Training
  • Obstetrics
  • Gynaecology

Acknowledgments

The authors wish to thank all the trial and non-trial participants and the investigators of the trial for their continued support. The editorial support by Barbara English from the office of the Deputy Dean: Research of the University of Pretoria's Faculty of Health Sciences is acknowledged with appreciation.

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Extract

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.

Acknowledgments

The authors wish to thank all the trial and non-trial participants and the investigators of the trial for their continued support. The editorial support by Barbara English from the office of the Deputy Dean: Research of the University of Pretoria's Faculty of Health Sciences is acknowledged with appreciation.

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