Assessment of freely available online videos of cardiac electrophysiological procedures from a shared decision-making perspective

Iyer, Indiresha; Iyer, Amogh; Kanthawar, Pooja; Khot, Umesh N.

doi:10.1016/j.cvdhj.2022.06.003

Cited by 2 publications

(3 citation statements)

References 36 publications

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Section: Discussionmentioning

confidence: 99%

“…No literature could be found that searched the video material on hemophilia to assess understandability and actionability to date. There are certain studies which have assessed understandability and actionability using PEMAT scores but on different diseases like diabetes [ 7 ], cardiovascular disease risk [ 8 ], asthma [ 9 ], macular degeneration [ 10 ], sinusitis [ 11 ], vocal cord paralysis [ 12 ], cardiac electrophysiological procedures [ 13 ], shoulder arthroscopy [ 14 ], over the counter rapid antigen COVID-19 testing [ 15 ], fall prevention [ 16 ], etc. Most of these studies have higher understandability scores and poor actionability studies as has been identified in our study also.…”

Section: Discussionmentioning

confidence: 99%

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Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study

Kumar¹,

Srikanth²,

Bodade³

et al. 2022

Cureus

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IntroductionWith the advent of revolutionary information technology, most general medical information can be accessed by the community at large. However, the factual nature of information, its understandability, and actionability of diseases like Hemophilia are unknown to the general population. Hence the present study has been envisaged to assess the understandability and actionability of available video information on YouTube about Hemophilia. MethodsA cross-sectional study was performed using the Patient Education Materials Assessment Tool for Audiovisual materials (PEMAT-AV) to assess the understandability and actionability of 50 videos shown by order of relevance utilizing three independent assessors. An online google survey was prepared using the PEMAT questionnaire as a basis and results were recorded and saved as a Microsoft Excel sheet for analysis. Data was analyzed using either Microsoft Excel or an online calculator as the case may be. ResultsA total of 50 short videos on Hemophilia were assessed by three independent assessors using PEMAT. The data so obtained was rechecked by an independent reviewer before data analysis. Three videos were excluded due to non-English language while only two videos out of 50 showed 100% average understandability and actionability. Average understandability and actionability scores range between 34 to 100 percent and 11.1 to 100 percent, respectively. Most videos have higher average understandability than actionability (P value=0.003). ConclusionOur study shows there are only a few high-quality short videos available as audio-visual patient education materials on YouTube about Hemophilia. There is a great need to develop content that is beneficial to patients as patient educational material.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study

Kumar¹,

Srikanth²,

Bodade³

et al. 2022

Cureus

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“…In order to ensure the safe and normal operation of large bridges, it is very important to know the safety status of bridges in real time through health monitoring. Through health monitoring of long-span bridges, not only the safety status of the structure can be known in real time, but also the structural design scheme can be improved [5].…”

Section: Purpose and Significance Of Long-span Bridge Structure Healt...mentioning

confidence: 99%

Machine Learning based Health Status Assessment of Super-span Suspension Bridges

2020

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With the rapid development of bridge design and analysis theory, building materials development and construction technology, more and more long-span bridges are built across rivers and seas. At the same time, the bridge construction scheme of over 1000 meters of bridges across rivers and seas is becoming more and more mature. Among them, the mainstream long-span bridges are suspension bridge (SB). The accuracy of research on key structure technology of bridge body needs to be continuously improved to ensure the structural safety of long-span bridges. Therefore, based on machine learning (ML) technology, the health status of super long span SBs is evaluated in this paper. The purpose and significance of long-span bridge structure health monitoring are briefly analyzed. Through the analysis of ML neural network algorithm, the evaluation model index layer is determined; finally, this paper takes the supporting project as an example to evaluate the safety status of the completed SB, which verifies the feasibility and effectiveness of the algorithm in this paper.

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Assessment of freely available online videos of cardiac electrophysiological procedures from a shared decision-making perspective

Cited by 2 publications

References 36 publications

Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study

Understandability and Actionability of Available Video Information on YouTube Regarding Hemophilia: A Cross-Sectional Study

Machine Learning based Health Status Assessment of Super-span Suspension Bridges

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