Effectiveness of the computer enhanced visual learning method in teaching the society for fetal urology hydronephrosis grading system for urology trainees

J Pediatr Urol. 2011 Apr;7(2):113-7. doi: 10.1016/j.jpurol.2010.09.009. Epub 2010 Nov 20.

Abstract

Objective: A novel educational tool, Computer Enhanced Visual Learning (CEVL), has been used to improve resident performance of routine orchiopexy. Our objective was to assess the effect of a CEVL teaching module on the diagnostic accuracy of medical trainees in grading neonatal hydronephrosis on ultrasound using the Society for Fetal Urology (SFU) grading system.

Methods: The authors designed an online-based computerized tutorial to teach the grading of hydronephrosis using multimedia, practice cases and a grading checklist. In a crossover design trial, 29 residents and medical students were asked to grade 16 standard neonatal renal ultrasounds using the SFU grading system before and after viewing the web-based e-learning module. Primary outcome was percent improvement in grading accuracy.

Results: The mean percentages of ultrasounds that were graded correctly before and after CEVL intervention were 51% and 72% respectively (mean improvement 21%, 95% CI 3-13%, P < 0.001). Residents graded correctly 56% of ultrasounds before and 74% after CEVL (mean 18%, 7-28%, P = 0.002). Medical students graded correctly 37% before and 69% after CEVL (mean improvement 32%, 95% CI 16-48%, P = 0.002).

Conclusion: Exposure to a computer-based learning module based on the CEVL platform improved urology residents' and medical students' correct assignment of SFU hydronephrosis grading to newborn renal ultrasounds.

MeSH terms

  • Competency-Based Education / methods
  • Competency-Based Education / standards
  • Computer-Assisted Instruction / methods*
  • Computer-Assisted Instruction / standards
  • Educational Measurement
  • Fetal Diseases / diagnostic imaging
  • Humans
  • Hydronephrosis / diagnostic imaging*
  • Infant, Newborn
  • Infant, Newborn, Diseases / diagnostic imaging*
  • Internet
  • Internship and Residency / methods*
  • Ultrasonography
  • Urology / education*