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A SYSTEMATIC REVIEW OF ASSESSMENT IN MEDICAL EDUCATION. Christie Palladino , MD, MSc ; Rachel Whitaker, ScM ; Kirsten Wildermuth *, BS; Ruth-Marie Fincher, MD; Lara Stepleman , PhD Education Discovery Institute Medical College of Georgia at Georgia Health Sciences University, Augusta, GA.
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A SYSTEMATIC REVIEW OF ASSESSMENT IN MEDICAL EDUCATION Christie Palladino, MD, MSc; Rachel Whitaker, ScM; Kirsten Wildermuth*, BS; Ruth-Marie Fincher, MD; Lara Stepleman, PhD Education Discovery Institute Medical College of Georgia at Georgia Health Sciences University, Augusta, GA Background Results, continued Method, continued • We identified assessments as PEARLS (Psychometrically Evidenced, Appearing Repeatedly in a Literature Search) if they met the following criteria: • Cited at least twice in the literature and at least once in the medical education literature in the last ten years; and • Had reported psychometric data. • Commonly cited barriers to highly-effective medical education research include insufficient use of validated instruments and difficulty accessing and culling information about validated instruments. Objectives Results • To conduct a systematic review of assessment measures used in medical education to: • Describe characteristics of the assessment measures which are used; and • Identify gaps in current medical education assessment. • We identified 1,184 English-language studies reporting on 1,008 explicit assessment tools: • 36.4% of the studies reported psychometric data. • The most common types of assessment tools were surveys (57.7%) & clinical observations (16.0%). • Almost half of the assessment tools were unnamed (45.5%). • 287 of the 1,008 assessment tools (28.5%) met the criteria for PEARLS (Figures 1 & 2) Method Conclusions Total Measures n=1,008 • We performed a two-phased systematic literature search, developed in consultation with a research librarian.† • Review of the five most recent years of publications from four key medical education journals (Academic Medicine, Medical Education, Teaching and Learning in Medicine, Medical Teacher); and • MeSH (Medical Subject Heading) term and keyword search of articles from the last ten years in PubMed. • We included English-language studies that reported an explicit tool or method used to assess medical students or residents. • Information abstracted from articles included target population, assessment source, assessment method, reported psychometric data, and country. Single Instance/ No Psychometrics PEARLS • Our results demonstrate that almost half of published medical education assessment measures are locally-developed and without reported psychometric properties. • This limits our ability to use consistent methods of assessment across institutions and makes identification of appropriate assessment tools difficult for both researchers and educators. • Our next steps include: • Continuing to identify medical assessment tools through an expanded PubMed search and a search of the social science literature; and • Developing a framework to better disseminate valid assessment tools to the medical education community. Single instance with no reported psychometric data n=471 28.5% Single instance with reported psychometric data n=231 46.8% 1.8% Multiple use with no reported psychometric data n=18 22.9% Multiple Use/ No Psychometrics . PEARLS n=287 Single Instance/ + Psychometrics . Figure 2 Figure 1 *Ms. Wildermuth is pursuing a Masters of Psychology at Augusta State University. †We would like to acknowledge Kathy Davies, MLS for her contributions to this work. Presented at the Southern Group on Educational Affairs Regional Conference, Houston, TX 04/15/2011