Diabetes Mellitus on YouTube: A Cross-Sectional Observational Study to Assess the Quality and Reliability of Videos
IntroductionDiabetes mellitus (DM) encompasses a group of heterogeneous, chronic, and non-communicable diseases characterized by an increase in blood glucose levels. As it has become easily accessible for patients to know about their symptoms and treatment of diseases, it is of utmost importance tha...
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Veröffentlicht in: | Curēus (Palo Alto, CA) CA), 2023-08, Vol.15 (8), p.e43704-e43704 |
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description | IntroductionDiabetes mellitus (DM) encompasses a group of heterogeneous, chronic, and non-communicable diseases characterized by an increase in blood glucose levels. As it has become easily accessible for patients to know about their symptoms and treatment of diseases, it is of utmost importance that reliable information is conveyed on the internet. If not managed appropriately, it may result in the dissemination of false information, leading to risky practices and incorrect treatment, further resulting in detrimental consequences.AimTo assess the quality and reliability of information related to DM on YouTube.MethodologyA cross-sectional observational study was conducted in April 2023, wherein top YouTube videos related to 'diabetes' were analyzed for baseline characteristics, type of uploader, as well as quality and reliability using Global Quality Score (GQS) and Reliability Score (DISCEN), respectively. Statistical analysis was performed using SPSS software.ResultsA total of 87 videos were evaluated in the study. Unfortunately, only 21% of those were uploaded by doctors. The median Video Power Index (VPI) for videos uploaded by other sources was the highest (184.7), and the lowest was for videos uploaded by hospitals (12.6), and this was statistically significant (p = 0.038). The median GQS was highest for videos uploaded by doctors (4) and lowest for videos uploaded by others (3.5). The reliability score was higher in videos uploaded by healthcare organizations (4), which was not significant (p > 0.05).ConclusionsVideos uploaded by physicians and healthcare organizations contained reliable information with a high global quality score. Videos uploaded by sources other than doctors and healthcare professionals should consult physicians, as self-diagnosis or self-treatment can lead to potential harm to patients. |
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fullrecord | <record><control><sourceid>proquest_pubme</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10505448</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2870664097</sourcerecordid><originalsourceid>FETCH-LOGICAL-c320t-f73b4c7e11db1f44b7ef93e79ea8b664795bbeb8cb7a37e98c99e14b84df4d513</originalsourceid><addsrcrecordid>eNpdkU1LxDAQhosoKOrNHxDw4sFqsk2b1Iss6yco4id4Ckk61Ui30Uwi7L-36y6inpJhHh6G982yHUYPhCjrQ5sCJDzghaB8JdsYsUrmkkm--uu_nm0jvlFKGRUjKuhGhidOG4iA5Bq6zsWExPfk2aeHZOCIjMkkeMT8Hmx0vtcduTEI4VMvp_uYmhmJnowRAZHEVyC3SQ-iGdF9Q-6gG_zue_YteXINeNzK1lrdIWwv383s8ez0YXKRX92cX07GV7ktRjTmrSgMtwIYawxrOTcC2roAUYOWpqq4qEtjwEhrhC4E1NLWNTBuJG9a3pSs2MyOF973ZKbQWOhj0J16D26qw0x57dTfTe9e1Yv_VIyWtORcDoa9pSH4jwQY1dShHYLSPfiEaiSrqhCyYnRAd_-hbz6FIaM5JehwL63FQO0vKDuPNUD7cw2jal6jWtSovmssvgC_spPT</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2870664097</pqid></control><display><type>article</type><title>Diabetes Mellitus on YouTube: A Cross-Sectional Observational Study to Assess the Quality and Reliability of Videos</title><source>PubMed Central Open Access</source><source>PubMed Central</source><creator>Mylavarapu, Maneeth ; Maheta, Darshilkumar ; Clarke, Shereece ; Parmar, Kashish ; Mohammed, Majaazuddin ; Vuyyuru, Chaitanya Sai</creator><creatorcontrib>Mylavarapu, Maneeth ; Maheta, Darshilkumar ; Clarke, Shereece ; Parmar, Kashish ; Mohammed, Majaazuddin ; Vuyyuru, Chaitanya Sai</creatorcontrib><description>IntroductionDiabetes mellitus (DM) encompasses a group of heterogeneous, chronic, and non-communicable diseases characterized by an increase in blood glucose levels. As it has become easily accessible for patients to know about their symptoms and treatment of diseases, it is of utmost importance that reliable information is conveyed on the internet. If not managed appropriately, it may result in the dissemination of false information, leading to risky practices and incorrect treatment, further resulting in detrimental consequences.AimTo assess the quality and reliability of information related to DM on YouTube.MethodologyA cross-sectional observational study was conducted in April 2023, wherein top YouTube videos related to 'diabetes' were analyzed for baseline characteristics, type of uploader, as well as quality and reliability using Global Quality Score (GQS) and Reliability Score (DISCEN), respectively. Statistical analysis was performed using SPSS software.ResultsA total of 87 videos were evaluated in the study. Unfortunately, only 21% of those were uploaded by doctors. The median Video Power Index (VPI) for videos uploaded by other sources was the highest (184.7), and the lowest was for videos uploaded by hospitals (12.6), and this was statistically significant (p = 0.038). The median GQS was highest for videos uploaded by doctors (4) and lowest for videos uploaded by others (3.5). The reliability score was higher in videos uploaded by healthcare organizations (4), which was not significant (p > 0.05).ConclusionsVideos uploaded by physicians and healthcare organizations contained reliable information with a high global quality score. Videos uploaded by sources other than doctors and healthcare professionals should consult physicians, as self-diagnosis or self-treatment can lead to potential harm to patients.</description><identifier>ISSN: 2168-8184</identifier><identifier>EISSN: 2168-8184</identifier><identifier>DOI: 10.7759/cureus.43704</identifier><language>eng</language><publisher>Palo Alto: Cureus Inc</publisher><subject>Diabetes ; Disease prevention ; Endocrinology/Diabetes/Metabolism ; Hospitals ; Internal Medicine ; Mortality ; News wire services ; Observational studies ; Patient education ; Physicians ; Social networks ; Statistical analysis ; Support groups</subject><ispartof>Curēus (Palo Alto, CA), 2023-08, Vol.15 (8), p.e43704-e43704</ispartof><rights>Copyright © 2023, Mylavarapu et al. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Copyright © 2023, Mylavarapu et al. 2023 Mylavarapu et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c320t-f73b4c7e11db1f44b7ef93e79ea8b664795bbeb8cb7a37e98c99e14b84df4d513</citedby><cites>FETCH-LOGICAL-c320t-f73b4c7e11db1f44b7ef93e79ea8b664795bbeb8cb7a37e98c99e14b84df4d513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505448/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505448/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids></links><search><creatorcontrib>Mylavarapu, Maneeth</creatorcontrib><creatorcontrib>Maheta, Darshilkumar</creatorcontrib><creatorcontrib>Clarke, Shereece</creatorcontrib><creatorcontrib>Parmar, Kashish</creatorcontrib><creatorcontrib>Mohammed, Majaazuddin</creatorcontrib><creatorcontrib>Vuyyuru, Chaitanya Sai</creatorcontrib><title>Diabetes Mellitus on YouTube: A Cross-Sectional Observational Study to Assess the Quality and Reliability of Videos</title><title>Curēus (Palo Alto, CA)</title><description>IntroductionDiabetes mellitus (DM) encompasses a group of heterogeneous, chronic, and non-communicable diseases characterized by an increase in blood glucose levels. As it has become easily accessible for patients to know about their symptoms and treatment of diseases, it is of utmost importance that reliable information is conveyed on the internet. If not managed appropriately, it may result in the dissemination of false information, leading to risky practices and incorrect treatment, further resulting in detrimental consequences.AimTo assess the quality and reliability of information related to DM on YouTube.MethodologyA cross-sectional observational study was conducted in April 2023, wherein top YouTube videos related to 'diabetes' were analyzed for baseline characteristics, type of uploader, as well as quality and reliability using Global Quality Score (GQS) and Reliability Score (DISCEN), respectively. Statistical analysis was performed using SPSS software.ResultsA total of 87 videos were evaluated in the study. Unfortunately, only 21% of those were uploaded by doctors. The median Video Power Index (VPI) for videos uploaded by other sources was the highest (184.7), and the lowest was for videos uploaded by hospitals (12.6), and this was statistically significant (p = 0.038). The median GQS was highest for videos uploaded by doctors (4) and lowest for videos uploaded by others (3.5). The reliability score was higher in videos uploaded by healthcare organizations (4), which was not significant (p > 0.05).ConclusionsVideos uploaded by physicians and healthcare organizations contained reliable information with a high global quality score. Videos uploaded by sources other than doctors and healthcare professionals should consult physicians, as self-diagnosis or self-treatment can lead to potential harm to patients.</description><subject>Diabetes</subject><subject>Disease prevention</subject><subject>Endocrinology/Diabetes/Metabolism</subject><subject>Hospitals</subject><subject>Internal Medicine</subject><subject>Mortality</subject><subject>News wire services</subject><subject>Observational studies</subject><subject>Patient education</subject><subject>Physicians</subject><subject>Social networks</subject><subject>Statistical analysis</subject><subject>Support groups</subject><issn>2168-8184</issn><issn>2168-8184</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkU1LxDAQhosoKOrNHxDw4sFqsk2b1Iss6yco4id4Ckk61Ui30Uwi7L-36y6inpJhHh6G982yHUYPhCjrQ5sCJDzghaB8JdsYsUrmkkm--uu_nm0jvlFKGRUjKuhGhidOG4iA5Bq6zsWExPfk2aeHZOCIjMkkeMT8Hmx0vtcduTEI4VMvp_uYmhmJnowRAZHEVyC3SQ-iGdF9Q-6gG_zue_YteXINeNzK1lrdIWwv383s8ez0YXKRX92cX07GV7ktRjTmrSgMtwIYawxrOTcC2roAUYOWpqq4qEtjwEhrhC4E1NLWNTBuJG9a3pSs2MyOF973ZKbQWOhj0J16D26qw0x57dTfTe9e1Yv_VIyWtORcDoa9pSH4jwQY1dShHYLSPfiEaiSrqhCyYnRAd_-hbz6FIaM5JehwL63FQO0vKDuPNUD7cw2jal6jWtSovmssvgC_spPT</recordid><startdate>20230818</startdate><enddate>20230818</enddate><creator>Mylavarapu, Maneeth</creator><creator>Maheta, Darshilkumar</creator><creator>Clarke, Shereece</creator><creator>Parmar, Kashish</creator><creator>Mohammed, Majaazuddin</creator><creator>Vuyyuru, Chaitanya Sai</creator><general>Cureus Inc</general><general>Cureus</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20230818</creationdate><title>Diabetes Mellitus on YouTube: A Cross-Sectional Observational Study to Assess the Quality and Reliability of Videos</title><author>Mylavarapu, Maneeth ; Maheta, Darshilkumar ; Clarke, Shereece ; Parmar, Kashish ; Mohammed, Majaazuddin ; Vuyyuru, Chaitanya Sai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c320t-f73b4c7e11db1f44b7ef93e79ea8b664795bbeb8cb7a37e98c99e14b84df4d513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Diabetes</topic><topic>Disease prevention</topic><topic>Endocrinology/Diabetes/Metabolism</topic><topic>Hospitals</topic><topic>Internal Medicine</topic><topic>Mortality</topic><topic>News wire services</topic><topic>Observational studies</topic><topic>Patient education</topic><topic>Physicians</topic><topic>Social networks</topic><topic>Statistical analysis</topic><topic>Support groups</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mylavarapu, Maneeth</creatorcontrib><creatorcontrib>Maheta, Darshilkumar</creatorcontrib><creatorcontrib>Clarke, Shereece</creatorcontrib><creatorcontrib>Parmar, Kashish</creatorcontrib><creatorcontrib>Mohammed, Majaazuddin</creatorcontrib><creatorcontrib>Vuyyuru, Chaitanya Sai</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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 Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</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>Curēus (Palo Alto, CA)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mylavarapu, Maneeth</au><au>Maheta, Darshilkumar</au><au>Clarke, Shereece</au><au>Parmar, Kashish</au><au>Mohammed, Majaazuddin</au><au>Vuyyuru, Chaitanya Sai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Diabetes Mellitus on YouTube: A Cross-Sectional Observational Study to Assess the Quality and Reliability of Videos</atitle><jtitle>Curēus (Palo Alto, CA)</jtitle><date>2023-08-18</date><risdate>2023</risdate><volume>15</volume><issue>8</issue><spage>e43704</spage><epage>e43704</epage><pages>e43704-e43704</pages><issn>2168-8184</issn><eissn>2168-8184</eissn><abstract>IntroductionDiabetes mellitus (DM) encompasses a group of heterogeneous, chronic, and non-communicable diseases characterized by an increase in blood glucose levels. As it has become easily accessible for patients to know about their symptoms and treatment of diseases, it is of utmost importance that reliable information is conveyed on the internet. If not managed appropriately, it may result in the dissemination of false information, leading to risky practices and incorrect treatment, further resulting in detrimental consequences.AimTo assess the quality and reliability of information related to DM on YouTube.MethodologyA cross-sectional observational study was conducted in April 2023, wherein top YouTube videos related to 'diabetes' were analyzed for baseline characteristics, type of uploader, as well as quality and reliability using Global Quality Score (GQS) and Reliability Score (DISCEN), respectively. Statistical analysis was performed using SPSS software.ResultsA total of 87 videos were evaluated in the study. Unfortunately, only 21% of those were uploaded by doctors. The median Video Power Index (VPI) for videos uploaded by other sources was the highest (184.7), and the lowest was for videos uploaded by hospitals (12.6), and this was statistically significant (p = 0.038). The median GQS was highest for videos uploaded by doctors (4) and lowest for videos uploaded by others (3.5). The reliability score was higher in videos uploaded by healthcare organizations (4), which was not significant (p > 0.05).ConclusionsVideos uploaded by physicians and healthcare organizations contained reliable information with a high global quality score. Videos uploaded by sources other than doctors and healthcare professionals should consult physicians, as self-diagnosis or self-treatment can lead to potential harm to patients.</abstract><cop>Palo Alto</cop><pub>Cureus Inc</pub><doi>10.7759/cureus.43704</doi><oa>free_for_read</oa></addata></record> |
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subjects | Diabetes Disease prevention Endocrinology/Diabetes/Metabolism Hospitals Internal Medicine Mortality News wire services Observational studies Patient education Physicians Social networks Statistical analysis Support groups |
title | Diabetes Mellitus on YouTube: A Cross-Sectional Observational Study to Assess the Quality and Reliability of Videos |
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