Utilization of computer enhanced visual learning (CEVL) method improves endoscopic diagnosis of posterior urethral valves (PUV)

Derek J. Matoka*, Andrew J. Marks, Rachel S. Stoltz, Max Maizels

*Corresponding author for this work

Research output: Contribution to journalArticle

5 Citations (Scopus)

Abstract

Introduction: Training in urology relies largely on the traditional methods of clinical immersion and the use of reference texts. Computer enhanced visual learning (CEVL) is an on-line learning tool that may effectively supplement these methods. We evaluate the role of CEVL in establishing the endoscopic diagnosis of posterior urethral valves (PUV). Material and methods: This study compares test scores of PUV diagnosis made by pediatric urologists and fellows in pediatric urology training programs while watching pediatric cystourethroscopy videos before and after viewing the CEVL learning module. The CEVL module used illustrations and video clips to highlight criteria important in diagnosing PUV. Data was analyzed for improvement in test scores (Chi square). Results: There were 112 study subjects enrolled. An improvement in the post-test scores was observed (p < 0.001). When independently analyzing cases with PUV, an improvement in diagnosis was also observed (p < 0.005). While a trend toward improvement was observed in correctly diagnosing normal urethras, this was not statistically significant. Conclusion: Overall, there was an improvement observed after viewing the CEVL module. This was most notable in cases where PUV was present. The CEVL module is an effective supplement for enhancing the endoscopic diagnosis of PUV.

Original languageEnglish (US)
Pages (from-to)498-502
Number of pages5
JournalJournal of Pediatric Urology
Volume9
Issue number4
DOIs
StatePublished - Aug 1 2013

Fingerprint

Learning
Urology
Pediatrics
Immersion
Urethra
Chi-Square Distribution
Surgical Instruments
Education

Keywords

  • Computer assisted instruction
  • Cystoscopy
  • Posterior urethral valve (PUV)
  • Surgical education

ASJC Scopus subject areas

  • Urology
  • Pediatrics, Perinatology, and Child Health

Cite this

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title = "Utilization of computer enhanced visual learning (CEVL) method improves endoscopic diagnosis of posterior urethral valves (PUV)",
abstract = "Introduction: Training in urology relies largely on the traditional methods of clinical immersion and the use of reference texts. Computer enhanced visual learning (CEVL) is an on-line learning tool that may effectively supplement these methods. We evaluate the role of CEVL in establishing the endoscopic diagnosis of posterior urethral valves (PUV). Material and methods: This study compares test scores of PUV diagnosis made by pediatric urologists and fellows in pediatric urology training programs while watching pediatric cystourethroscopy videos before and after viewing the CEVL learning module. The CEVL module used illustrations and video clips to highlight criteria important in diagnosing PUV. Data was analyzed for improvement in test scores (Chi square). Results: There were 112 study subjects enrolled. An improvement in the post-test scores was observed (p < 0.001). When independently analyzing cases with PUV, an improvement in diagnosis was also observed (p < 0.005). While a trend toward improvement was observed in correctly diagnosing normal urethras, this was not statistically significant. Conclusion: Overall, there was an improvement observed after viewing the CEVL module. This was most notable in cases where PUV was present. The CEVL module is an effective supplement for enhancing the endoscopic diagnosis of PUV.",
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Utilization of computer enhanced visual learning (CEVL) method improves endoscopic diagnosis of posterior urethral valves (PUV). / Matoka, Derek J.; Marks, Andrew J.; Stoltz, Rachel S.; Maizels, Max.

In: Journal of Pediatric Urology, Vol. 9, No. 4, 01.08.2013, p. 498-502.

Research output: Contribution to journalArticle

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