• Álvaro Huete, Rodrigo Julio, Viviana Rojas, Cristián Herrera, Oslando Padilla, Nancy Solís, Margarita Pizarro, Lorena Etcheberry, Alberto Sarfatis, Gonzalo Pérez, Luis A Díaz, Alejandro Delfino, Estrella Muñoz, Horacio Rivera, Dimitri A Parra, Marcela Bitran, and Arnoldo Riquelme.
• Department of Radiology, Pontificia Universidad Católica de Chile. Santiago, Chile.
• Acad Radiol. 2016 Jul 1; 23 (7): 779-88.

Rationale And ObjectivesRadiology teachers are well trained in their specialty; however, when working in academic institutions, faculty development and promotion through the education pathway tends to be based on their teaching knowledge and skills. The aim of this study is to assess psychometric properties of the Medicina Universidad Católica-Radiology 32 items (MEDUC-RX32), an instrument designed to evaluate the performance of postgraduate radiology teachers and to identify the best teachers.Materials And MethodsMixed methodology was used, including qualitative and quantitative phases. The psychometric properties of the MEDUC-RX32 survey were performed by factor analysis (validity), Cronbach alpha coefficient, and G coefficient (reliability). The residents assessed their teachers and simultaneously voted for the "best teacher," which was used as a gold standard for the receiver operating characteristic curves construction comparing their votes with the global score.ResultsA total of 28 residents answered 164 surveys. The global score was 6.23 ± 0.8 (scale from 1 to 7). The factor analysis showed six domains of the resident's perception: (1) tutorial teaching, feedback, and independent learning; (2) communication and teamwork; (3) learning objectives; (4) respectful behavior; (5) radiological report; and (6) teaching and care support. The tutor's strengths were related with respectful behavior and teamwork. The instrument is highly reliable with a Cronbach alpha of 0.937 and a G coefficient of 0.831 (with a minimum of 8 residents). The MEDUC-RX32 instrument has a sensitivity of 91.7% and specificity of 83.3% to identify tutors as best teachers with at least one vote with an area under the receiver operating characteristic curve of 0.931 with a cutoff of 5.94.ConclusionsThe MEDC-RX32 instrument is a multidimensional, valid, and highly reliable method to evaluate radiology teachers, identifying teachers with excellence in tutorial teaching in a postgraduate radiology program.Copyright © 2016 The Association of University Radiologists. Published by Elsevier Inc. All rights reserved.

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