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A LUMP MODEL FOR MEDICAL STUDENTS' CLINICAL EVALUATION

Soft tissue masses are commonly encountered in surgical and general medical practice. The graduating medical student should therefore be competent in the physical examination of a lump. Paucity of real patients makes it paramount that models be used for teaching and evaluation. This study purposed t...

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Bibliographic Details
Published in:Annals of Ibadan postgraduate medicine 2024-04, Vol.22 (1), p.29-33
Main Authors: Ademola, S A, Michael, A I, Takure, A O, Lawal, T A
Format: Article
Language:English
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Summary:Soft tissue masses are commonly encountered in surgical and general medical practice. The graduating medical student should therefore be competent in the physical examination of a lump. Paucity of real patients makes it paramount that models be used for teaching and evaluation. This study purposed to describe the perception of graduating medical students to the use of a low-cost lump model for Objective Structured Clinical Examination (OSCE). This was a cross-sectional survey of final year medical students who participated in a surgery OSCE utilizing an innovative low-cost lump model. One hundred and sixty students undertook the OSCE examination while 130 (81.3%) students completed the survey questionnaire. One hundred and forty students (87.5%) passed (score 5) the skills assessment using the lump model. The median age of the students who completed the questionnaire was 25 (range 24-27) years. There were more males N=84 (65.6%) than females N= 44 (34.4%). Two thirds (67.2%; n=84) of the students said the model simulated a true lump. Nearly all the students agreed that the signs of site (97.6%; n=127), size (97.6%; n=127), shape (95.4%; n=124) and transillumination (95.4%; n=124) were clearly demonstrable with the model. A lower proportion of agreements were seen with signs such as tenderness (64.6%; n=82), attachment (77.7%; n=80) and warmth (58.6%; n=75) while more students disagreed with pulsatility (51.5%; n=67). The medical students had a positive perception to the use of the model. However, further refinements would be needed for more signs to be demonstrable.
ISSN:1597-1627