Construct validity and expert benchmarking of the haptic virtual reality dental simulator.
Identifieur interne : 000533 ( PubMed/Curation ); précédent : 000532; suivant : 000534Construct validity and expert benchmarking of the haptic virtual reality dental simulator.
Auteurs : Siriwan Suebnukarn [Thaïlande] ; Monthalee Chaisombat [Thaïlande] ; Thanapohn Kongpunwijit [Thaïlande] ; Phattanapon Rhienmora [Thaïlande]Source :
- Journal of dental education [ 1930-7837 ] ; 2014.
English descriptors
- KwdEn :
- Benchmarking, Bicuspid (anatomy & histology), Clinical Competence (standards), Computer Simulation, Dental Pulp Cavity (anatomy & histology), Education, Dental (standards), Endodontics (education), Humans, Image Processing, Computer-Assisted (methods), Imaging, Three-Dimensional (methods), Molar (anatomy & histology), Reproducibility of Results, Root Canal Preparation (standards), Students, Dental, Teaching (methods), Teaching Materials (standards), User-Computer Interface, X-Ray Microtomography (methods).
- MESH :
- anatomy & histology : Bicuspid, Dental Pulp Cavity, Molar.
- education : Endodontics.
- methods : Image Processing, Computer-Assisted, Imaging, Three-Dimensional, Teaching, X-Ray Microtomography.
- standards : Clinical Competence, Education, Dental, Root Canal Preparation, Teaching Materials.
- Benchmarking, Computer Simulation, Humans, Reproducibility of Results, Students, Dental, User-Computer Interface.
Abstract
The aim of this study was to demonstrate construct validation of the haptic virtual reality (VR) dental simulator and to define expert benchmarking criteria for skills assessment. Thirty-four self-selected participants (fourteen novices, fourteen intermediates, and six experts in endodontics) at one dental school performed ten repetitions of three mode tasks of endodontic cavity preparation: easy (mandibular premolar with one canal), medium (maxillary premolar with two canals), and hard (mandibular molar with three canals). The virtual instrument's path length was registered by the simulator. The outcomes were assessed by an expert. The error scores in easy and medium modes accurately distinguished the experts from novices and intermediates at the onset of training, when there was a significant difference between groups (ANOVA, p<0.05). The trend was consistent until trial 5. From trial 6 on, the three groups achieved similar scores. No significant difference was found between groups at the end of training. Error score analysis was not able to distinguish any group at the hard level of training. Instrument path length showed a difference in performance according to groups at the onset of training (ANOVA, p<0.05). This study established construct validity for the haptic VR dental simulator by demonstrating its discriminant capabilities between that of experts and non-experts. The experts' error scores and path length were used to define benchmarking criteria for optimal performance.
PubMed: 25281678
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and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok, Thailand. ssiriwan@tu.ac.th.</nlm:affiliation><country xml:lang="fr">Thaïlande</country><wicri:regionArea>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok</wicri:regionArea></affiliation></author><author><name sortKey="Chaisombat, Monthalee" sort="Chaisombat, Monthalee" uniqKey="Chaisombat M" first="Monthalee" last="Chaisombat">Monthalee Chaisombat</name><affiliation wicri:level="1"><nlm:affiliation>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; 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and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok, Thailand.</nlm:affiliation><country xml:lang="fr">Thaïlande</country><wicri:regionArea>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok</wicri:regionArea></affiliation></author></analytic><series><title level="j">Journal of dental education</title><idno type="eISSN">1930-7837</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Benchmarking</term><term>Bicuspid (anatomy & histology)</term><term>Clinical Competence (standards)</term><term>Computer Simulation</term><term>Dental Pulp Cavity (anatomy & histology)</term><term>Education, Dental (standards)</term><term>Endodontics (education)</term><term>Humans</term><term>Image Processing, Computer-Assisted (methods)</term><term>Imaging, Three-Dimensional (methods)</term><term>Molar (anatomy & histology)</term><term>Reproducibility of Results</term><term>Root Canal Preparation (standards)</term><term>Students, Dental</term><term>Teaching (methods)</term><term>Teaching Materials (standards)</term><term>User-Computer Interface</term><term>X-Ray Microtomography (methods)</term></keywords><keywords scheme="MESH" qualifier="anatomy & histology" xml:lang="en"><term>Bicuspid</term><term>Dental Pulp Cavity</term><term>Molar</term></keywords><keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Endodontics</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Image Processing, Computer-Assisted</term><term>Imaging, Three-Dimensional</term><term>Teaching</term><term>X-Ray Microtomography</term></keywords><keywords scheme="MESH" qualifier="standards" xml:lang="en"><term>Clinical Competence</term><term>Education, Dental</term><term>Root Canal Preparation</term><term>Teaching Materials</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Benchmarking</term><term>Computer Simulation</term><term>Humans</term><term>Reproducibility of Results</term><term>Students, Dental</term><term>User-Computer Interface</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The aim of this study was to demonstrate construct validation of the haptic virtual reality (VR) dental simulator and to define expert benchmarking criteria for skills assessment. Thirty-four self-selected participants (fourteen novices, fourteen intermediates, and six experts in endodontics) at one dental school performed ten repetitions of three mode tasks of endodontic cavity preparation: easy (mandibular premolar with one canal), medium (maxillary premolar with two canals), and hard (mandibular molar with three canals). The virtual instrument's path length was registered by the simulator. The outcomes were assessed by an expert. The error scores in easy and medium modes accurately distinguished the experts from novices and intermediates at the onset of training, when there was a significant difference between groups (ANOVA, p<0.05). The trend was consistent until trial 5. From trial 6 on, the three groups achieved similar scores. No significant difference was found between groups at the end of training. Error score analysis was not able to distinguish any group at the hard level of training. Instrument path length showed a difference in performance according to groups at the onset of training (ANOVA, p<0.05). This study established construct validity for the haptic VR dental simulator by demonstrating its discriminant capabilities between that of experts and non-experts. The experts' error scores and path length were used to define benchmarking criteria for optimal performance.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">25281678</PMID><DateCreated><Year>2014</Year><Month>10</Month><Day>04</Day></DateCreated><DateCompleted><Year>2014</Year><Month>12</Month><Day>03</Day></DateCompleted><Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1930-7837</ISSN><JournalIssue CitedMedium="Internet"><Volume>78</Volume><Issue>10</Issue><PubDate><Year>2014</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Journal of dental education</Title><ISOAbbreviation>J Dent Educ</ISOAbbreviation></Journal><ArticleTitle>Construct validity and expert benchmarking of the haptic virtual reality dental simulator.</ArticleTitle><Pagination><MedlinePgn>1442-50</MedlinePgn></Pagination><Abstract><AbstractText>The aim of this study was to demonstrate construct validation of the haptic virtual reality (VR) dental simulator and to define expert benchmarking criteria for skills assessment. Thirty-four self-selected participants (fourteen novices, fourteen intermediates, and six experts in endodontics) at one dental school performed ten repetitions of three mode tasks of endodontic cavity preparation: easy (mandibular premolar with one canal), medium (maxillary premolar with two canals), and hard (mandibular molar with three canals). The virtual instrument's path length was registered by the simulator. The outcomes were assessed by an expert. The error scores in easy and medium modes accurately distinguished the experts from novices and intermediates at the onset of training, when there was a significant difference between groups (ANOVA, p<0.05). The trend was consistent until trial 5. From trial 6 on, the three groups achieved similar scores. No significant difference was found between groups at the end of training. Error score analysis was not able to distinguish any group at the hard level of training. Instrument path length showed a difference in performance according to groups at the onset of training (ANOVA, p<0.05). This study established construct validity for the haptic VR dental simulator by demonstrating its discriminant capabilities between that of experts and non-experts. The experts' error scores and path length were used to define benchmarking criteria for optimal performance.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Suebnukarn</LastName><ForeName>Siriwan</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok, Thailand. ssiriwan@tu.ac.th.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chaisombat</LastName><ForeName>Monthalee</ForeName><Initials>M</Initials><AffiliationInfo><Affiliation>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok, Thailand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kongpunwijit</LastName><ForeName>Thanapohn</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok, Thailand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Rhienmora</LastName><ForeName>Phattanapon</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Dr. Suebnukarn is Associate Professor, Faculty of Dentistry, Thammasat University, Pathumthani, Thailand; Dr. Chaisombat is a dentist, Nonnarai Hospital, Surin, Thailand; Dr. Kongpunwijit is a dentist, Sriboonruang Hospital, Nongbualumphu, Thailand; and Dr. Rhienmora is a faculty member, School of Science and Technology, Bangkok University, Bangkok, Thailand.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Dent Educ</MedlineTA><NlmUniqueID>8000150</NlmUniqueID><ISSNLinking>0022-0337</ISSNLinking></MedlineJournalInfo><CitationSubset>D</CitationSubset><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D019985">Benchmarking</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D001641">Bicuspid</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000033">anatomy & histology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D002983">Clinical Competence</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000592">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003198">Computer Simulation</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D003786">Dental Pulp Cavity</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000033">anatomy & histology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004497">Education, Dental</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000592">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D004708">Endodontics</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000193">education</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D006801">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D007091">Image Processing, Computer-Assisted</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D021621">Imaging, Three-Dimensional</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D008963">Molar</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000033">anatomy & histology</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D015203">Reproducibility of Results</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D018915">Root Canal Preparation</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000592">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013335">Students, Dental</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013663">Teaching</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D013664">Teaching Materials</DescriptorName><QualifierName MajorTopicYN="Y" UI="Q000592">standards</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D014584">User-Computer Interface</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D055114">X-Ray Microtomography</DescriptorName><QualifierName MajorTopicYN="N" UI="Q000379">methods</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Thailand</Keyword><Keyword MajorTopicYN="N">clinical education</Keyword><Keyword MajorTopicYN="N">dental education</Keyword><Keyword MajorTopicYN="N">endodontics</Keyword><Keyword MajorTopicYN="N">haptic simulation</Keyword><Keyword MajorTopicYN="N">virtual reality</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>10</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>10</Month><Day>5</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2014</Year><Month>12</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pii">78/10/1442</ArticleId><ArticleId IdType="pubmed">25281678</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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