Literature DB >> 16488433

Teaching surgical decision-making: an interactive, web-based approach.

Elliot L Servais1, Wayne W Lamorte, Suresh Agarwal, Wayne Moschetti, Sandeep K Mallipattu, Steven L Moulton.   

Abstract

BACKGROUND: Skillful surgical care demands proper patient assessment and decision-making. These skills are honed through long hours and years of clinical practice. A decrease in work hours is reducing the number of cases managed by medical students and residents. We have developed a set of interactive, web-based teaching modules to help fill this gap.
MATERIALS AND METHODS: The modules aim to teach surgical decision-making in a convenient, nonthreatening manner. Surgical case material is presented in a graphically rich environment, including video and sound to enhance realism. At the end of each web-page, the user must make a management decision. The correct answer is subsequently provided with immediate feedback. Medical students used and evaluated the modules during their surgical clerkships. Additionally, students took a pretest and 1-week delayed posttest after completing the modules to assess the program's efficacy.
RESULTS: Eight modules involving pediatric and general surgery have been completed. Medical students gave high ratings to the quality of the modules and found the interactive format both engaging and educationally effective. Eighty-seven percent of medical students rated the program's educational value as above average to excellent. On pre- and posttest analysis, students' scores improved an average of 24.8% (P < 0.001).
CONCLUSION: Students enjoy web-based educational material. Additional modules covering a range of surgical topics are in development. Web-based modules appear to be an effective clinical teaching tool, well-suited for integration into the clinical curriculum.

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Year:  2006        PMID: 16488433     DOI: 10.1016/j.jss.2005.11.583

Source DB:  PubMed          Journal:  J Surg Res        ISSN: 0022-4804            Impact factor:   2.192


  2 in total

1.  A decision-making learning and assessment tool in laparoscopic cholecystectomy.

Authors:  Sudip K Sarker; Saif Rehman; Meera Ladwa; Avril Chang; Charles Vincent
Journal:  Surg Endosc       Date:  2008-03-05       Impact factor: 4.584

2.  Interactive algorithms for teaching and learning acute medicine in the network of medical faculties MEFANET.

Authors:  Daniel Schwarz; Petr Štourač; Martin Komenda; Hana Harazim; Martina Kosinová; Jakub Gregor; Richard Hůlek; Olga Smékalová; Ivo Křikava; Roman Štoudek; Ladislav Dušek
Journal:  J Med Internet Res       Date:  2013-07-08       Impact factor: 5.428

  2 in total

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