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

Abstract

IntroductionTraining 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 methodsThis 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). ResultsThere 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. ConclusionOverall, 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.