Back to Search
Start Over
Residents' ability to interpret radiology images: development and improvement of an assessment tool.
- Source :
-
Academic radiology [Acad Radiol] 2014 Jul; Vol. 21 (7), pp. 909-15. - Publication Year :
- 2014
-
Abstract
- Rationale and Objectives: Despite increasing radiology coverage, nonradiology residents continue to preliminarily interpret basic radiologic studies independently, yet their ability to do so accurately is not routinely assessed.<br />Materials and Methods: An online test of basic radiologic image interpretation was developed through an iterative process. Educational objectives were established, then questions and images were gathered to create an assessment. The test was administered online to first-year interns (postgraduate year [PGY] 1) from 14 different specialties, as well as a sample of third- and fourth-year radiology residents (PGY3/R2 and PGY4/R3).<br />Results: Over a 2-year period, 368 residents were assessed, including PGY1 (n = 349), PGY3/R2 (n = 14), and PGY4/R3 (n = 5) residents. Overall, the test discriminated effectively between interns (average score = 66%) and advanced residents (R2 = 86%, R3 = 89%; P < .05). Item analysis indicated discrimination indices ranging from -0.72 to 48.3 (mean = 3.12, median 0.58) for individual questions, including four questions with negative discrimination indices. After removal of the negatively indexed questions, the overall predictive value of the instrument persisted and discrimination indices increased for all but one of the remaining questions (range 0.027-70.8, mean 5.76, median 0.94).<br />Conclusions: Validation of an initial iteration of an assessment of basic image-interpretation skills led to revisions that improved the test. The results offer a specific test of radiologic reading skills with validation evidence for residents. More generally, results demonstrate a principled approach to test development.<br /> (Copyright © 2014 AUR. Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Internet
Radiology statistics & numerical data
Software
United States
Clinical Competence statistics & numerical data
Computer-Assisted Instruction statistics & numerical data
Diagnostic Imaging statistics & numerical data
Educational Measurement statistics & numerical data
Internship and Residency statistics & numerical data
Radiology education
Subjects
Details
- Language :
- English
- ISSN :
- 1878-4046
- Volume :
- 21
- Issue :
- 7
- Database :
- MEDLINE
- Journal :
- Academic radiology
- Publication Type :
- Academic Journal
- Accession number :
- 24928160
- Full Text :
- https://doi.org/10.1016/j.acra.2014.03.010