Effectiveness of manual dexterity assessment methods for preclinical training in Dentistry
This study aimed to verify the predictive capacity of manual dexterity assessment methods for pre-clinical training in Dentistry. Students from the fifth year of the undergraduate course in Dentistry (N = 95) participated in this study. Manual dexterity was investigated as a variable of interest, me...
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| description | This study aimed to verify the predictive capacity of manual dexterity assessment methods for pre-clinical training in Dentistry.
Students from the fifth year of the undergraduate course in Dentistry (N = 95) participated in this study. Manual dexterity was investigated as a variable of interest, measured by the O'Connor Finger Dexterity Test methods-Model 32021, Purdue Pegboard Test-Model 32020A, Dental Manual Dexterity Assessment-DMDA, Class One Cavity Preparation Assessent-COCA and Class One Composite Resin Restoration Assessment-COCRA. The average score obtained in the evaluation of the quality of the cavity preparations and restorations was considered as gold standard, and from these data the sensitivity and specificity of the tests were estimated. Receiver Operating Characteristic (ROC) curves were constructed to assess the diagnostic performance of each dexterity test. The analysis included calculating the Area Under the Curve (AUROC) to evaluate their discriminative power, and cutoff points were determined that optimize the balance between sensitivity and specificity.
The DMDA test showed better performance, with statistical significance (p |
| doi_str_mv | 10.1371/journal.pone.0311973 |
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Students from the fifth year of the undergraduate course in Dentistry (N = 95) participated in this study. Manual dexterity was investigated as a variable of interest, measured by the O'Connor Finger Dexterity Test methods-Model 32021, Purdue Pegboard Test-Model 32020A, Dental Manual Dexterity Assessment-DMDA, Class One Cavity Preparation Assessent-COCA and Class One Composite Resin Restoration Assessment-COCRA. The average score obtained in the evaluation of the quality of the cavity preparations and restorations was considered as gold standard, and from these data the sensitivity and specificity of the tests were estimated. Receiver Operating Characteristic (ROC) curves were constructed to assess the diagnostic performance of each dexterity test. The analysis included calculating the Area Under the Curve (AUROC) to evaluate their discriminative power, and cutoff points were determined that optimize the balance between sensitivity and specificity.
The DMDA test showed better performance, with statistical significance (p <0.001) and acceptable predictive ability (AUROC = 0.775), while the O'Connor test (AUROC = 0.644, p = 0.050) and Purdue Pegboard test (Purdue 1: AUROC = 0.542, p = 0.560; Purdue 2: AUROC = 0.564, p = 0.423; Purdue 3: AUROC = 0.517, p = 0.828; Purdue 4: AUROC = 0.608, p = 0.083) were not statistically significant.
The DMDA test presented the best performance, with statistical significance and acceptable discrimination, showing greater effectiveness for assessing students' manual dexterity. Therefore, the implementation of the DMDA test can significantly contribute to the early identification of motor dexterity difficulties in dental students, enabling more effective and targeted interventions.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0311973</identifier><identifier>PMID: 39630647</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Biology and Life Sciences ; Clinical Competence ; Composite materials ; Dental restorative materials ; Dentistry ; Education, Dental - methods ; Educational aspects ; Educational Measurement - methods ; Effectiveness ; Female ; Humans ; Male ; Manual dexterity ; Medicine and Health Sciences ; Motor ability ; Motor Skills - physiology ; People and Places ; Performance evaluation ; ROC Curve ; Sensitivity analysis ; Social Sciences ; Statistical analysis ; Students ; Students, Dental ; Training ; Young Adult</subject><ispartof>PloS one, 2024-12, Vol.19 (12), p.e0311973</ispartof><rights>Copyright: © 2024 Genaro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Genaro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Genaro et al 2024 Genaro et al</rights><rights>2024 Genaro et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><orcidid>0000-0003-4206-2974 ; 0000-0002-5435-7609 ; 0000-0002-1758-0932 ; 0000-0003-4607-5975</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11616867/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11616867/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39630647$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Genaro, Luis Eduardo</creatorcontrib><creatorcontrib>da Costa Neves, Tamíris</creatorcontrib><creatorcontrib>Pazos, Júlia Margato</creatorcontrib><creatorcontrib>Dovigo, Lívia Nordi</creatorcontrib><creatorcontrib>Garcia, Patrícia P N S</creatorcontrib><title>Effectiveness of manual dexterity assessment methods for preclinical training in Dentistry</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>This study aimed to verify the predictive capacity of manual dexterity assessment methods for pre-clinical training in Dentistry.
Students from the fifth year of the undergraduate course in Dentistry (N = 95) participated in this study. Manual dexterity was investigated as a variable of interest, measured by the O'Connor Finger Dexterity Test methods-Model 32021, Purdue Pegboard Test-Model 32020A, Dental Manual Dexterity Assessment-DMDA, Class One Cavity Preparation Assessent-COCA and Class One Composite Resin Restoration Assessment-COCRA. The average score obtained in the evaluation of the quality of the cavity preparations and restorations was considered as gold standard, and from these data the sensitivity and specificity of the tests were estimated. Receiver Operating Characteristic (ROC) curves were constructed to assess the diagnostic performance of each dexterity test. The analysis included calculating the Area Under the Curve (AUROC) to evaluate their discriminative power, and cutoff points were determined that optimize the balance between sensitivity and specificity.
The DMDA test showed better performance, with statistical significance (p <0.001) and acceptable predictive ability (AUROC = 0.775), while the O'Connor test (AUROC = 0.644, p = 0.050) and Purdue Pegboard test (Purdue 1: AUROC = 0.542, p = 0.560; Purdue 2: AUROC = 0.564, p = 0.423; Purdue 3: AUROC = 0.517, p = 0.828; Purdue 4: AUROC = 0.608, p = 0.083) were not statistically significant.
The DMDA test presented the best performance, with statistical significance and acceptable discrimination, showing greater effectiveness for assessing students' manual dexterity. Therefore, the implementation of the DMDA test can significantly contribute to the early identification of motor dexterity difficulties in dental students, enabling more effective and targeted interventions.</description><subject>Adult</subject><subject>Biology and Life Sciences</subject><subject>Clinical Competence</subject><subject>Composite materials</subject><subject>Dental restorative materials</subject><subject>Dentistry</subject><subject>Education, Dental - methods</subject><subject>Educational aspects</subject><subject>Educational Measurement - methods</subject><subject>Effectiveness</subject><subject>Female</subject><subject>Humans</subject><subject>Male</subject><subject>Manual dexterity</subject><subject>Medicine and Health Sciences</subject><subject>Motor ability</subject><subject>Motor Skills - physiology</subject><subject>People and Places</subject><subject>Performance evaluation</subject><subject>ROC Curve</subject><subject>Sensitivity analysis</subject><subject>Social 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Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Genaro, Luis Eduardo</au><au>da Costa Neves, Tamíris</au><au>Pazos, Júlia Margato</au><au>Dovigo, Lívia Nordi</au><au>Garcia, Patrícia P N S</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effectiveness of manual dexterity assessment methods for preclinical training in Dentistry</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-12-04</date><risdate>2024</risdate><volume>19</volume><issue>12</issue><spage>e0311973</spage><pages>e0311973-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>This study aimed to verify the predictive capacity of manual dexterity assessment methods for pre-clinical training in Dentistry.
Students from the fifth year of the undergraduate course in Dentistry (N = 95) participated in this study. Manual dexterity was investigated as a variable of interest, measured by the O'Connor Finger Dexterity Test methods-Model 32021, Purdue Pegboard Test-Model 32020A, Dental Manual Dexterity Assessment-DMDA, Class One Cavity Preparation Assessent-COCA and Class One Composite Resin Restoration Assessment-COCRA. The average score obtained in the evaluation of the quality of the cavity preparations and restorations was considered as gold standard, and from these data the sensitivity and specificity of the tests were estimated. Receiver Operating Characteristic (ROC) curves were constructed to assess the diagnostic performance of each dexterity test. The analysis included calculating the Area Under the Curve (AUROC) to evaluate their discriminative power, and cutoff points were determined that optimize the balance between sensitivity and specificity.
The DMDA test showed better performance, with statistical significance (p <0.001) and acceptable predictive ability (AUROC = 0.775), while the O'Connor test (AUROC = 0.644, p = 0.050) and Purdue Pegboard test (Purdue 1: AUROC = 0.542, p = 0.560; Purdue 2: AUROC = 0.564, p = 0.423; Purdue 3: AUROC = 0.517, p = 0.828; Purdue 4: AUROC = 0.608, p = 0.083) were not statistically significant.
The DMDA test presented the best performance, with statistical significance and acceptable discrimination, showing greater effectiveness for assessing students' manual dexterity. Therefore, the implementation of the DMDA test can significantly contribute to the early identification of motor dexterity difficulties in dental students, enabling more effective and targeted interventions.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39630647</pmid><doi>10.1371/journal.pone.0311973</doi><tpages>e0311973</tpages><orcidid>https://orcid.org/0000-0003-4206-2974</orcidid><orcidid>https://orcid.org/0000-0002-5435-7609</orcidid><orcidid>https://orcid.org/0000-0002-1758-0932</orcidid><orcidid>https://orcid.org/0000-0003-4607-5975</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | Adult Biology and Life Sciences Clinical Competence Composite materials Dental restorative materials Dentistry Education, Dental - methods Educational aspects Educational Measurement - methods Effectiveness Female Humans Male Manual dexterity Medicine and Health Sciences Motor ability Motor Skills - physiology People and Places Performance evaluation ROC Curve Sensitivity analysis Social Sciences Statistical analysis Students Students, Dental Training Young Adult |
| title | Effectiveness of manual dexterity assessment methods for preclinical training in Dentistry |
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