Reliability analysis of the objective structured clinical examination using generalizability theory

• Main Authors: Juan Andrés Trejo-Mejía, Melchor Sánchez-Mendiola, Ignacio Méndez-Ramírez, Adrián Martínez-González
• Format: Article
• Language: English
• Published: Taylor & Francis Group 2016-08-01
• Series: Medical Education Online
• Subjects: OSCE; reliability; generalizability theory; clinical competence; Mexico
• Online Access: http://med-ed-online.net/index.php/meo/article/view/31650/48304

Background: The objective structured clinical examination (OSCE) is a widely used method for assessing clinical competence in health sciences education. Studies using this method have shown evidence of validity and reliability. There are no published studies of OSCE reliability measurement with generalizability theory (G-theory) in Latin America. The aims of this study were to assess the reliability of an OSCE in medical students using G-theory and explore its usefulness for quality improvement. Methods: An observational cross-sectional study was conducted at National Autonomous University of Mexico (UNAM) Faculty of Medicine in Mexico City. A total of 278 fifth-year medical students were assessed with an 18-station OSCE in a summative end-of-career final examination. There were four exam versions. G-theory with a crossover random effects design was used to identify the main sources of variance. Examiners, standardized patients, and cases were considered as a single facet of analysis. Results: The exam was applied to 278 medical students. The OSCE had a generalizability coefficient of 0.93. The major components of variance were stations, students, and residual error. The sites and the versions of the tests had minimum variance. Conclusions: Our study achieved a G coefficient similar to that found in other reports, which is acceptable for summative tests. G-theory allows the estimation of the magnitude of multiple sources of error and helps decision makers to determine the number of stations, test versions, and examiners needed to obtain reliable measurements.