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Orthodontic Elastics: A Multivariable Analysis of YouTubeTM Videos
Background/PurposeWhether YouTube videos contain precise and adequate information on certain orthodontic procedures remains unclear. This study aimed to investigate the content and quality of YouTube videos on orthodontic elastics and identify the predictors of high-level content YouTube videos.Mate...
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Published in: | Clinical, cosmetic and investigational dentistry cosmetic and investigational dentistry, 2024-05, Vol.16, p.115-125 |
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description | Background/PurposeWhether YouTube videos contain precise and adequate information on certain orthodontic procedures remains unclear. This study aimed to investigate the content and quality of YouTube videos on orthodontic elastics and identify the predictors of high-level content YouTube videos.Materials and MethodsTwo hundred YouTube videos were screened for eligibility, and after applying the inclusion criteria, 133 videos were excluded. Student's t-test was used to compare the characteristics, quality parameters, and total content of the low-level and high-level content videos. Chi-square or Fisher's exact tests were implemented to identify the source and content element differences across low-level and high-level content videos. Pearson's correlation coefficients were used to determine the relationship between the total content score, video information and quality index (VIQI), and YouTube characteristics. Stepwise linear multiple regressions with forward selection were used to test the association of the YouTube characteristics and VIQI with the total content score.ResultsAmong 67 included videos, only 19.4% of videos were classified as high-level content videos. High-level content videos had significantly higher mean number of likes (MD = 4041.7; SD = 4680.7; P-value=0.0068), VIQI score (MD = 4.17; SD = 4.87; P-value=0.0073), and total content score (MD = 4.04; SD = 1.23; P-value= |
doi_str_mv | 10.2147/CCIDE.S460910 |
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This study aimed to investigate the content and quality of YouTube videos on orthodontic elastics and identify the predictors of high-level content YouTube videos.Materials and MethodsTwo hundred YouTube videos were screened for eligibility, and after applying the inclusion criteria, 133 videos were excluded. Student's t-test was used to compare the characteristics, quality parameters, and total content of the low-level and high-level content videos. Chi-square or Fisher's exact tests were implemented to identify the source and content element differences across low-level and high-level content videos. Pearson's correlation coefficients were used to determine the relationship between the total content score, video information and quality index (VIQI), and YouTube characteristics. Stepwise linear multiple regressions with forward selection were used to test the association of the YouTube characteristics and VIQI with the total content score.ResultsAmong 67 included videos, only 19.4% of videos were classified as high-level content videos. High-level content videos had significantly higher mean number of likes (MD = 4041.7; SD = 4680.7; P-value=0.0068), VIQI score (MD = 4.17; SD = 4.87; P-value=0.0073), and total content score (MD = 4.04; SD = 1.23; P-value=<0.0001). The adjusted linear regression model demonstrated a significant association between the total content score and VIQI, where 1 unit increase in the VIQI was significantly associated with a 0.16 increase in the total content score (B = 0.16; standard error [SE]=0.04; P = 0.0003). Further, a significant association was observed between the total content score and video duration, where 1 minute increase in the video duration was significantly associated with a 0.15 increase in the total content score (B = 0.15; SE = 0.05; P = 0.008).ConclusionThis study demonstrated that YouTube content quality concerning orthodontic elastics is poor. Thus, future implementation of online visual content provided by certified orthodontists will ensure accurate and thorough information delivery.</description><identifier>ISSN: 1179-1357</identifier><identifier>EISSN: 1179-1357</identifier><identifier>DOI: 10.2147/CCIDE.S460910</identifier><language>eng</language><publisher>Dove Medical Press</publisher><subject>dentistry ; orthodontics ; patient compliance ; social media ; youtube</subject><ispartof>Clinical, cosmetic and investigational dentistry, 2024-05, Vol.16, p.115-125</ispartof><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c1760-a4a75fe5d445e63b8c9d3ec7ebff8fbaad482df9b49aedcf19b8aadf7146bf03</cites><orcidid>0000-0002-1066-341X</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,37013</link.rule.ids></links><search><creatorcontrib>Alsulaiman, Ahmed</creatorcontrib><creatorcontrib>Alsulaiman, Osama</creatorcontrib><creatorcontrib>Alkhateeb, Reem</creatorcontrib><creatorcontrib>AlMuhaish, Luba</creatorcontrib><creatorcontrib>Alghamdi, Maher</creatorcontrib><creatorcontrib>Nassar, Essam</creatorcontrib><creatorcontrib>Almasoud, Naif</creatorcontrib><title>Orthodontic Elastics: A Multivariable Analysis of YouTubeTM Videos</title><title>Clinical, cosmetic and investigational dentistry</title><description>Background/PurposeWhether YouTube videos contain precise and adequate information on certain orthodontic procedures remains unclear. This study aimed to investigate the content and quality of YouTube videos on orthodontic elastics and identify the predictors of high-level content YouTube videos.Materials and MethodsTwo hundred YouTube videos were screened for eligibility, and after applying the inclusion criteria, 133 videos were excluded. Student's t-test was used to compare the characteristics, quality parameters, and total content of the low-level and high-level content videos. Chi-square or Fisher's exact tests were implemented to identify the source and content element differences across low-level and high-level content videos. Pearson's correlation coefficients were used to determine the relationship between the total content score, video information and quality index (VIQI), and YouTube characteristics. Stepwise linear multiple regressions with forward selection were used to test the association of the YouTube characteristics and VIQI with the total content score.ResultsAmong 67 included videos, only 19.4% of videos were classified as high-level content videos. High-level content videos had significantly higher mean number of likes (MD = 4041.7; SD = 4680.7; P-value=0.0068), VIQI score (MD = 4.17; SD = 4.87; P-value=0.0073), and total content score (MD = 4.04; SD = 1.23; P-value=<0.0001). The adjusted linear regression model demonstrated a significant association between the total content score and VIQI, where 1 unit increase in the VIQI was significantly associated with a 0.16 increase in the total content score (B = 0.16; standard error [SE]=0.04; P = 0.0003). Further, a significant association was observed between the total content score and video duration, where 1 minute increase in the video duration was significantly associated with a 0.15 increase in the total content score (B = 0.15; SE = 0.05; P = 0.008).ConclusionThis study demonstrated that YouTube content quality concerning orthodontic elastics is poor. Thus, future implementation of online visual content provided by certified orthodontists will ensure accurate and thorough information delivery.</description><subject>dentistry</subject><subject>orthodontics</subject><subject>patient compliance</subject><subject>social media</subject><subject>youtube</subject><issn>1179-1357</issn><issn>1179-1357</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>DOA</sourceid><recordid>eNpNUEFLwzAYLaLg0B299-ilM2nSpvE269TBxg4WwVP40iSakS0zaYX9e-s2xO_yPh6P9x4vSW4wmuSYsru6nj_OJq-0RByjs2SEMeMZJgU7__dfJuMY12g4ykleVaPkYRW6T6_8trNtOnMQB4z36TRd9q6z3xAsSKfT6RbcPtqYepO--77ppW6W6ZtV2sfr5MKAi3p8wqukeZo19Uu2WD3P6-kiazErUQYUWGF0oSgtdElk1XJFdMu0NKYyEkDRKleGS8pBq9ZgLquBNAzTUhpErpL50VZ5WItdsBsIe-HBigPhw4eAMLR3WpSaqQpJDkUBtGQGyjI3CArOKwSgzeB1e_TaBf_V69iJjY2tdg622vdREFRQSujQdJBmR2kbfIxBm79ojMTv8uKwvDgtT34AJ5l22w</recordid><startdate>20240501</startdate><enddate>20240501</enddate><creator>Alsulaiman, Ahmed</creator><creator>Alsulaiman, Osama</creator><creator>Alkhateeb, Reem</creator><creator>AlMuhaish, Luba</creator><creator>Alghamdi, Maher</creator><creator>Nassar, Essam</creator><creator>Almasoud, Naif</creator><general>Dove Medical Press</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-1066-341X</orcidid></search><sort><creationdate>20240501</creationdate><title>Orthodontic Elastics: A Multivariable Analysis of YouTubeTM Videos</title><author>Alsulaiman, Ahmed ; Alsulaiman, Osama ; Alkhateeb, Reem ; AlMuhaish, Luba ; Alghamdi, Maher ; Nassar, Essam ; Almasoud, Naif</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1760-a4a75fe5d445e63b8c9d3ec7ebff8fbaad482df9b49aedcf19b8aadf7146bf03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>dentistry</topic><topic>orthodontics</topic><topic>patient compliance</topic><topic>social media</topic><topic>youtube</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alsulaiman, Ahmed</creatorcontrib><creatorcontrib>Alsulaiman, Osama</creatorcontrib><creatorcontrib>Alkhateeb, Reem</creatorcontrib><creatorcontrib>AlMuhaish, Luba</creatorcontrib><creatorcontrib>Alghamdi, Maher</creatorcontrib><creatorcontrib>Nassar, Essam</creatorcontrib><creatorcontrib>Almasoud, Naif</creatorcontrib><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>DOAJÂ Directory of Open Access Journals</collection><jtitle>Clinical, cosmetic and investigational dentistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alsulaiman, Ahmed</au><au>Alsulaiman, Osama</au><au>Alkhateeb, Reem</au><au>AlMuhaish, Luba</au><au>Alghamdi, Maher</au><au>Nassar, Essam</au><au>Almasoud, Naif</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Orthodontic Elastics: A Multivariable Analysis of YouTubeTM Videos</atitle><jtitle>Clinical, cosmetic and investigational dentistry</jtitle><date>2024-05-01</date><risdate>2024</risdate><volume>16</volume><spage>115</spage><epage>125</epage><pages>115-125</pages><issn>1179-1357</issn><eissn>1179-1357</eissn><abstract>Background/PurposeWhether YouTube videos contain precise and adequate information on certain orthodontic procedures remains unclear. This study aimed to investigate the content and quality of YouTube videos on orthodontic elastics and identify the predictors of high-level content YouTube videos.Materials and MethodsTwo hundred YouTube videos were screened for eligibility, and after applying the inclusion criteria, 133 videos were excluded. Student's t-test was used to compare the characteristics, quality parameters, and total content of the low-level and high-level content videos. Chi-square or Fisher's exact tests were implemented to identify the source and content element differences across low-level and high-level content videos. Pearson's correlation coefficients were used to determine the relationship between the total content score, video information and quality index (VIQI), and YouTube characteristics. Stepwise linear multiple regressions with forward selection were used to test the association of the YouTube characteristics and VIQI with the total content score.ResultsAmong 67 included videos, only 19.4% of videos were classified as high-level content videos. High-level content videos had significantly higher mean number of likes (MD = 4041.7; SD = 4680.7; P-value=0.0068), VIQI score (MD = 4.17; SD = 4.87; P-value=0.0073), and total content score (MD = 4.04; SD = 1.23; P-value=<0.0001). The adjusted linear regression model demonstrated a significant association between the total content score and VIQI, where 1 unit increase in the VIQI was significantly associated with a 0.16 increase in the total content score (B = 0.16; standard error [SE]=0.04; P = 0.0003). Further, a significant association was observed between the total content score and video duration, where 1 minute increase in the video duration was significantly associated with a 0.15 increase in the total content score (B = 0.15; SE = 0.05; P = 0.008).ConclusionThis study demonstrated that YouTube content quality concerning orthodontic elastics is poor. Thus, future implementation of online visual content provided by certified orthodontists will ensure accurate and thorough information delivery.</abstract><pub>Dove Medical Press</pub><doi>10.2147/CCIDE.S460910</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-1066-341X</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | dentistry orthodontics patient compliance social media youtube |
title | Orthodontic Elastics: A Multivariable Analysis of YouTubeTM Videos |
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