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

Andrew Marks*, Max Maizels, Jennie Mickelson, Elizabeth Yerkes, C. D. Anthony Herndon, Jerry Lane, Tamar Ben-Ami, Evelyn Maizels, Rachel Stork Stoltz, Scott Dixon, Dennis Liu, Tony Chaviano, Jennifer Hagerty, William Kaplan

*Corresponding author for this work

Research output: Contribution to journalArticle

11 Citations (Scopus)

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.

Original languageEnglish (US)
Pages (from-to)113-117
Number of pages5
JournalJournal of Pediatric Urology
Volume7
Issue number2
DOIs
StatePublished - Apr 1 2011

Fingerprint

Hydronephrosis
Urology
Teaching
Learning
Medical Students
Cross-Over Studies
Orchiopexy
Kidney
Multimedia
Checklist
Newborn Infant

Keywords

  • Computers
  • Education
  • Hydronephrosis
  • Ultrasound

ASJC Scopus subject areas

  • Pediatrics, Perinatology, and Child Health
  • Urology

Cite this

Marks, Andrew ; Maizels, Max ; Mickelson, Jennie ; Yerkes, Elizabeth ; Anthony Herndon, C. D. ; Lane, Jerry ; Ben-Ami, Tamar ; Maizels, Evelyn ; Stoltz, Rachel Stork ; Dixon, Scott ; Liu, Dennis ; Chaviano, Tony ; Hagerty, Jennifer ; Kaplan, William. / Effectiveness of the computer enhanced visual learning method in teaching the society for fetal urology hydronephrosis grading system for urology trainees. In: Journal of Pediatric Urology. 2011 ; Vol. 7, No. 2. pp. 113-117.
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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.",
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Effectiveness of the computer enhanced visual learning method in teaching the society for fetal urology hydronephrosis grading system for urology trainees. / Marks, Andrew; Maizels, Max; Mickelson, Jennie; Yerkes, Elizabeth; Anthony Herndon, C. D.; Lane, Jerry; Ben-Ami, Tamar; Maizels, Evelyn; Stoltz, Rachel Stork; Dixon, Scott; Liu, Dennis; Chaviano, Tony; Hagerty, Jennifer; Kaplan, William.

In: Journal of Pediatric Urology, Vol. 7, No. 2, 01.04.2011, p. 113-117.

Research output: Contribution to journalArticle

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AU - Marks, Andrew

AU - Maizels, Max

AU - Mickelson, Jennie

AU - Yerkes, Elizabeth

AU - Anthony Herndon, C. D.

AU - Lane, Jerry

AU - Ben-Ami, Tamar

AU - Maizels, Evelyn

AU - Stoltz, Rachel Stork

AU - Dixon, Scott

AU - Liu, Dennis

AU - Chaviano, Tony

AU - Hagerty, Jennifer

AU - Kaplan, William

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N2 - 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.

AB - 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.

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