Validation of the VBLaST pattern cutting task: a learning curve study

Background Mastery of laparoscopic skills is essential in surgical practice and requires considerable time and effort to achieve. The Virtual Basic Laparoscopic Skill Trainer (VBLaST-PC © ) is a virtual simulator that was developed as a computerized version of the pattern cutting (PC) task in the Fu...

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Veröffentlicht in:Surgical endoscopy 2018-04, Vol.32 (4), p.1990-2002
Hauptverfasser: Linsk, Ali M., Monden, Kimberley R., Sankaranarayanan, Ganesh, Ahn, Woojin, Jones, Daniel B., De, Suvranu, Schwaitzberg, Steven D., Cao, Caroline G. L.
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container_end_page 2002
container_issue 4
container_start_page 1990
container_title Surgical endoscopy
container_volume 32
creator Linsk, Ali M.
Monden, Kimberley R.
Sankaranarayanan, Ganesh
Ahn, Woojin
Jones, Daniel B.
De, Suvranu
Schwaitzberg, Steven D.
Cao, Caroline G. L.
description Background Mastery of laparoscopic skills is essential in surgical practice and requires considerable time and effort to achieve. The Virtual Basic Laparoscopic Skill Trainer (VBLaST-PC © ) is a virtual simulator that was developed as a computerized version of the pattern cutting (PC) task in the Fundamentals of Laparoscopic Surgery (FLS) system. To establish convergent validity for the VBLaST-PC © , we assessed trainees’ learning curves using the cumulative summation (CUSUM) method and compared them with those on the FLS. Methods Twenty-four medical students were randomly assigned to an FLS training group, a VBLaST training group, or a control group. Fifteen training sessions, 30 min in duration per session per day, were conducted over 3 weeks. All subjects completed pretest, posttest, and retention test (2 weeks after posttest) on both the FLS and VBLaST © simulators. Performance data, including time, error, FLS score, learning rate, learning plateau, and CUSUM score, were analyzed. Results The learning curve for all trained subjects demonstrated increasing performance and a performance plateau. CUSUM analyses showed that five of the seven subjects reached the intermediate proficiency level but none reached the expert proficiency level after 150 practice trials. Performance was significantly improved after simulation training, but only in the assigned simulator. No significant decay of skills after 2 weeks of disuse was observed. Control subjects did not show any learning on the FLS simulator, but improved continually in the VBLaST simulator. Conclusions Although VBLaST © - and FLS-trained subjects demonstrated similar learning rates and plateaus, the majority of subjects required more than 150 trials to achieve proficiency. Trained subjects demonstrated improved performance in only the assigned simulator, indicating specificity of training. The virtual simulator may provide better opportunities for learning, especially with limited training exposure.
doi_str_mv 10.1007/s00464-017-5895-0
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L.</creator><creatorcontrib>Linsk, Ali M. ; Monden, Kimberley R. ; Sankaranarayanan, Ganesh ; Ahn, Woojin ; Jones, Daniel B. ; De, Suvranu ; Schwaitzberg, Steven D. ; Cao, Caroline G. L.</creatorcontrib><description>Background Mastery of laparoscopic skills is essential in surgical practice and requires considerable time and effort to achieve. The Virtual Basic Laparoscopic Skill Trainer (VBLaST-PC © ) is a virtual simulator that was developed as a computerized version of the pattern cutting (PC) task in the Fundamentals of Laparoscopic Surgery (FLS) system. To establish convergent validity for the VBLaST-PC © , we assessed trainees’ learning curves using the cumulative summation (CUSUM) method and compared them with those on the FLS. Methods Twenty-four medical students were randomly assigned to an FLS training group, a VBLaST training group, or a control group. Fifteen training sessions, 30 min in duration per session per day, were conducted over 3 weeks. All subjects completed pretest, posttest, and retention test (2 weeks after posttest) on both the FLS and VBLaST © simulators. Performance data, including time, error, FLS score, learning rate, learning plateau, and CUSUM score, were analyzed. Results The learning curve for all trained subjects demonstrated increasing performance and a performance plateau. CUSUM analyses showed that five of the seven subjects reached the intermediate proficiency level but none reached the expert proficiency level after 150 practice trials. Performance was significantly improved after simulation training, but only in the assigned simulator. No significant decay of skills after 2 weeks of disuse was observed. Control subjects did not show any learning on the FLS simulator, but improved continually in the VBLaST simulator. Conclusions Although VBLaST © - and FLS-trained subjects demonstrated similar learning rates and plateaus, the majority of subjects required more than 150 trials to achieve proficiency. Trained subjects demonstrated improved performance in only the assigned simulator, indicating specificity of training. The virtual simulator may provide better opportunities for learning, especially with limited training exposure.</description><identifier>ISSN: 0930-2794</identifier><identifier>EISSN: 1432-2218</identifier><identifier>DOI: 10.1007/s00464-017-5895-0</identifier><identifier>PMID: 29052071</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Abdominal Surgery ; Gastroenterology ; Gynecology ; Hepatology ; Laparoscopy ; Medical students ; Medicine ; Medicine &amp; Public Health ; Proctology ; Skills ; Surgery ; Training</subject><ispartof>Surgical endoscopy, 2018-04, Vol.32 (4), p.1990-2002</ispartof><rights>Springer Science+Business Media, LLC 2017</rights><rights>Surgical Endoscopy is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c470t-ee07ec4a1540766ab1cf2333bb1af61522b599c7e79a8a7561b53512d6df89cb3</citedby><cites>FETCH-LOGICAL-c470t-ee07ec4a1540766ab1cf2333bb1af61522b599c7e79a8a7561b53512d6df89cb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00464-017-5895-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00464-017-5895-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>230,314,777,781,882,27905,27906,41469,42538,51300</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29052071$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Linsk, Ali M.</creatorcontrib><creatorcontrib>Monden, Kimberley R.</creatorcontrib><creatorcontrib>Sankaranarayanan, Ganesh</creatorcontrib><creatorcontrib>Ahn, Woojin</creatorcontrib><creatorcontrib>Jones, Daniel B.</creatorcontrib><creatorcontrib>De, Suvranu</creatorcontrib><creatorcontrib>Schwaitzberg, Steven D.</creatorcontrib><creatorcontrib>Cao, Caroline G. L.</creatorcontrib><title>Validation of the VBLaST pattern cutting task: a learning curve study</title><title>Surgical endoscopy</title><addtitle>Surg Endosc</addtitle><addtitle>Surg Endosc</addtitle><description>Background Mastery of laparoscopic skills is essential in surgical practice and requires considerable time and effort to achieve. The Virtual Basic Laparoscopic Skill Trainer (VBLaST-PC © ) is a virtual simulator that was developed as a computerized version of the pattern cutting (PC) task in the Fundamentals of Laparoscopic Surgery (FLS) system. To establish convergent validity for the VBLaST-PC © , we assessed trainees’ learning curves using the cumulative summation (CUSUM) method and compared them with those on the FLS. Methods Twenty-four medical students were randomly assigned to an FLS training group, a VBLaST training group, or a control group. Fifteen training sessions, 30 min in duration per session per day, were conducted over 3 weeks. All subjects completed pretest, posttest, and retention test (2 weeks after posttest) on both the FLS and VBLaST © simulators. Performance data, including time, error, FLS score, learning rate, learning plateau, and CUSUM score, were analyzed. Results The learning curve for all trained subjects demonstrated increasing performance and a performance plateau. CUSUM analyses showed that five of the seven subjects reached the intermediate proficiency level but none reached the expert proficiency level after 150 practice trials. Performance was significantly improved after simulation training, but only in the assigned simulator. No significant decay of skills after 2 weeks of disuse was observed. Control subjects did not show any learning on the FLS simulator, but improved continually in the VBLaST simulator. Conclusions Although VBLaST © - and FLS-trained subjects demonstrated similar learning rates and plateaus, the majority of subjects required more than 150 trials to achieve proficiency. Trained subjects demonstrated improved performance in only the assigned simulator, indicating specificity of training. The virtual simulator may provide better opportunities for learning, especially with limited training exposure.</description><subject>Abdominal Surgery</subject><subject>Gastroenterology</subject><subject>Gynecology</subject><subject>Hepatology</subject><subject>Laparoscopy</subject><subject>Medical students</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Proctology</subject><subject>Skills</subject><subject>Surgery</subject><subject>Training</subject><issn>0930-2794</issn><issn>1432-2218</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kd9rFDEQx4Mo9lr9A3yRgC--rM5kk83GB0FLq8KBD9a-htls9rp1L3sm2UL_e3NerT9ACAQyn_lkhi9jzxBeIYB-nQBkIytAXanWqAoesBXKWlRCYPuQrcDUUAlt5BE7TukaCm5QPWZHwoASoHHFzi5pGnvK4xz4PPB85fnl-zV9ueA7ytnHwN2S8xg2PFP69oYTnzzFsH9wS7zxPOWlv33CHg00Jf_07j5hX8_PLk4_VuvPHz6dvltXTmrIlfegvZOESoJuGurQDaKu665DGhpUQnTKGKe9NtSSVg12qlYo-qYfWuO6-oS9PXh3S7f1vfMhR5rsLo5bird2ptH-XQnjld3MN1a1UkmNRfDyThDn74tP2W7H5Pw0UfDzkiyaMlrTNlIV9MU_6PW8xFDWswJQqXJ-CvFAuTinFP1wPwyC3YdkDyHZEpLdh2Sh9Dz_c4v7jl-pFEAcgFRKYePj76__b_0Bb82cFQ</recordid><startdate>20180401</startdate><enddate>20180401</enddate><creator>Linsk, Ali M.</creator><creator>Monden, Kimberley R.</creator><creator>Sankaranarayanan, Ganesh</creator><creator>Ahn, Woojin</creator><creator>Jones, Daniel B.</creator><creator>De, Suvranu</creator><creator>Schwaitzberg, Steven D.</creator><creator>Cao, Caroline G. L.</creator><general>Springer US</general><general>Springer Nature B.V</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20180401</creationdate><title>Validation of the VBLaST pattern cutting task: a learning curve study</title><author>Linsk, Ali M. ; Monden, Kimberley R. ; Sankaranarayanan, Ganesh ; Ahn, Woojin ; Jones, Daniel B. ; De, Suvranu ; Schwaitzberg, Steven D. ; Cao, Caroline G. L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c470t-ee07ec4a1540766ab1cf2333bb1af61522b599c7e79a8a7561b53512d6df89cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Abdominal Surgery</topic><topic>Gastroenterology</topic><topic>Gynecology</topic><topic>Hepatology</topic><topic>Laparoscopy</topic><topic>Medical students</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Proctology</topic><topic>Skills</topic><topic>Surgery</topic><topic>Training</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Linsk, Ali M.</creatorcontrib><creatorcontrib>Monden, Kimberley R.</creatorcontrib><creatorcontrib>Sankaranarayanan, Ganesh</creatorcontrib><creatorcontrib>Ahn, Woojin</creatorcontrib><creatorcontrib>Jones, Daniel B.</creatorcontrib><creatorcontrib>De, Suvranu</creatorcontrib><creatorcontrib>Schwaitzberg, Steven D.</creatorcontrib><creatorcontrib>Cao, Caroline G. L.</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Surgical endoscopy</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Linsk, Ali M.</au><au>Monden, Kimberley R.</au><au>Sankaranarayanan, Ganesh</au><au>Ahn, Woojin</au><au>Jones, Daniel B.</au><au>De, Suvranu</au><au>Schwaitzberg, Steven D.</au><au>Cao, Caroline G. L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Validation of the VBLaST pattern cutting task: a learning curve study</atitle><jtitle>Surgical endoscopy</jtitle><stitle>Surg Endosc</stitle><addtitle>Surg Endosc</addtitle><date>2018-04-01</date><risdate>2018</risdate><volume>32</volume><issue>4</issue><spage>1990</spage><epage>2002</epage><pages>1990-2002</pages><issn>0930-2794</issn><eissn>1432-2218</eissn><abstract>Background Mastery of laparoscopic skills is essential in surgical practice and requires considerable time and effort to achieve. The Virtual Basic Laparoscopic Skill Trainer (VBLaST-PC © ) is a virtual simulator that was developed as a computerized version of the pattern cutting (PC) task in the Fundamentals of Laparoscopic Surgery (FLS) system. To establish convergent validity for the VBLaST-PC © , we assessed trainees’ learning curves using the cumulative summation (CUSUM) method and compared them with those on the FLS. Methods Twenty-four medical students were randomly assigned to an FLS training group, a VBLaST training group, or a control group. Fifteen training sessions, 30 min in duration per session per day, were conducted over 3 weeks. All subjects completed pretest, posttest, and retention test (2 weeks after posttest) on both the FLS and VBLaST © simulators. Performance data, including time, error, FLS score, learning rate, learning plateau, and CUSUM score, were analyzed. Results The learning curve for all trained subjects demonstrated increasing performance and a performance plateau. CUSUM analyses showed that five of the seven subjects reached the intermediate proficiency level but none reached the expert proficiency level after 150 practice trials. Performance was significantly improved after simulation training, but only in the assigned simulator. No significant decay of skills after 2 weeks of disuse was observed. Control subjects did not show any learning on the FLS simulator, but improved continually in the VBLaST simulator. Conclusions Although VBLaST © - and FLS-trained subjects demonstrated similar learning rates and plateaus, the majority of subjects required more than 150 trials to achieve proficiency. Trained subjects demonstrated improved performance in only the assigned simulator, indicating specificity of training. The virtual simulator may provide better opportunities for learning, especially with limited training exposure.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>29052071</pmid><doi>10.1007/s00464-017-5895-0</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record>
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source Springer Nature - Complete Springer Journals
subjects Abdominal Surgery
Gastroenterology
Gynecology
Hepatology
Laparoscopy
Medical students
Medicine
Medicine & Public Health
Proctology
Skills
Surgery
Training
title Validation of the VBLaST pattern cutting task: a learning curve study
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