Quality of Red Reflex Teaching Videos on the Internet: Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Connie Dodds ◽  
Andrew Blaikie ◽  
Sirjhun Patel
Keyword(s):  
Search Engine ◽  
Online Teaching ◽  
Video Quality ◽  
Scoring Systems ◽  
Quality Score ◽  
The Internet ◽  
Total Quality ◽  
Cross Sectional ◽  
Ranking Position

BACKGROUND The importance of red reflex testing as part of neonatal screening is recognised worldwide. The technique is ideally suited to online video-based instruction. The quality of online teaching material is however unknown OBJECTIVE We aim to objectively score the quality of red reflex demonstration videos in order to determine their pedagogical effectiveness and to assess the relationship between search engine ranking and quality. METHODS An internet search was performed on 12th February 2020 using keywords related to red reflex examination on search engine platforms YouTube, Google and DuckDuckGo. Video characteristics were recorded and popularity determined by calculating a Video Power Index (VPI) score. The videos were assessed by two medical students and two ophthalmologists using scoring systems: Red Reflex Specific (RRS), Understandability & Attractiveness (U&A), Reliability (JAMA), and Global Quality Score (GQS). A Total Quality Score (TQS) was created from RRS, U&A and JAMA scores as a measure of overall quality. Videos were categorised by source and in terms of usefulness. Correlations between audience interaction parameters and video quality alongside ranking position on the three search engines were investigated using Spearman’s rho. RESULTS Of the 625 videos screened, 14 were eligible for inclusion. Overall, videos had a mean TQS of 24.3/50 (range: 9 – 41) with six videos considered “educationally useful” based on the GQS. The main video source was physicians (43%), with videos uploaded by academics being of greatest overall quality (P = .023). There was a positive correlation between TQS and ranking position of videos using Google (rs= 0.569, P = .034) but not with other platforms. CONCLUSIONS The limited red reflex training videos currently available on the internet are generally poor and of variable quality. We recommend Google as a suitable platform to search for red reflex videos of better quality. These results may play a role in ensuring video teaching is performed optimally and highlight the need for improved access worldwide to videos of greater accuracy and reliability.

scholarly journals Assessing the Quality of Patient Information for Cholesteatoma on the Video Sharing Platform YouTube

2021 ◽  
Author(s):  
Rithvik Reddy ◽  
Horace Cheng ◽  
Nicholas Jufas ◽  
Nirmal Patel
Keyword(s):  
Video Quality ◽  
Scoring Systems ◽  
Poor Quality ◽  
Cross Sectional Survey ◽  
Kappa Score ◽  
Good Reliability ◽  
Cross Sectional ◽  
Youtube Videos ◽  
Scoring Tool

Objectives: The objective of this study is to assess quality of the most popular cholesteatoma videos on YouTube using recognized scoring systems and to determine if video quality metrics correlated with video popularity based on likes and views Design: Cross sectional survey of available data Setting: Metadata acquisition using YouTube searches using Australian IP addresses Participants: Three independent neuro-otologists partaking in scoring videos Main outcome measures: Each video was viewed and scored by three independent assessors using both a novel tool to score the usefulness of the video as well as the validated DISCERN scoring tool. Popularity metrics were analyzed and compared to video popularity. Results: A total of 90 YouTube videos were analyzed with an average 55,292 views per video with an average of 271 likes and 22 dislikes. The inter-rater correlation was moderate with Fleiss-kappa score 0.42 [P < 0.01] using a novel scoring tool for cholesteatoma and inter-rater correlation coefficient was 0.78 [95% CI = 0.58 - 0.90] indicating good reliability for DISCERN scores. The overall video quality was poor with higher DISCERN scores found in videos uploaded from Academic Institutions. Conclusions: Informative video quality on YouTube on cholesteatoma is overall of poor quality. Videos with unclassified sources or more dislikes correlated poorly with video quality. Given the increase in patients turning to the internet for information regarding their health conditions, otology and otolaryngology societies should be encouraged to publish high quality YouTube videos on cholesteatoma and other ear conditions.

An Intelligent Web Search Using Multi-Document Summarization

2016 ◽  
Vol 6 (2) ◽  
pp. 41-65 ◽  
Author(s):  
Sheetal A. Takale ◽  
Prakash J. Kulkarni ◽  
Sahil K. Shah
Keyword(s):  
Search Engine ◽  
Web Search ◽  
Document Clustering ◽  
The Internet ◽  
Web Pages ◽  
Extractive Summarization ◽  
Text Understanding ◽  
User Query ◽  
Sentence Clustering

Information available on the internet is huge, diverse and dynamic. Current Search Engine is doing the task of intelligent help to the users of the internet. For a query, it provides a listing of best matching or relevant web pages. However, information for the query is often spread across multiple pages which are returned by the search engine. This degrades the quality of search results. So, the search engines are drowning in information, but starving for knowledge. Here, we present a query focused extractive summarization of search engine results. We propose a two level summarization process: identification of relevant theme clusters, and selection of top ranking sentences to form summarized result for user query. A new approach to semantic similarity computation using semantic roles and semantic meaning is proposed. Document clustering is effectively achieved by application of MDL principle and sentence clustering and ranking is done by using SNMF. Experiments conducted demonstrate the effectiveness of system in semantic text understanding, document clustering and summarization.

scholarly journals Effect of Social Networking Sites on the Quality of Life of College Students: A Cross-Sectional Study from a City in North India

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Neeru Saini ◽  
Garima Sangwan ◽  
Madhur Verma ◽  
Adarsh Kohli ◽  
Manmeet Kaur ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Social Networking ◽  
Social Networking Sites ◽  
Human Interaction ◽  
North India ◽  
The Internet ◽  
Severe Stress ◽  
Cross Sectional ◽  
College Going

Introduction. With the advent and extensive use of the Internet and smartphones, social networking has become a pervasive part of human interaction. The use of these social networking sites or the Internet affects the physical, mental, and spiritual health of the people. Hence, there is need to understand how the time spent on social networking is affecting the quality of life (QOL) as a whole, especially among college-going students who are most likely users of social networking sites (18–21 years). Materials and Methods. A cross-sectional survey was conducted among 220 college-going students (18–21 years) in Chandigarh in 2012. The data were collected using a pretested self-administered questionnaire, adapted from Young’s Internet usage questionnaire. Appropriate statistical analysis was done. Results. Almost all (98%) of the respondents use the Internet. As compared to nondaily users of social networking sites, daily users were better able to handle stress related to (1) relationships (moderate to severe stress among daily users vs. nondaily users, 15.2% vs. 30.5%) and (2) work (moderate to severe stress among daily users vs. nondaily users, 18.2% vs. 35.4%). The daily users of social networking sites feel significantly more satisfied with their classmates, the way they handle the problems, their physical appearance, and their accomplishments in their life. Conclusion. Social networking sites are steadily penetrating in the lives of adolescents in India. The advantages on quality of life for daily users of social networking sites versus nondaily users are enormous. Also currently, Internet use might not have reached the levels where it embarks on the existing state of health; therefore, continuous and critical observation of the changing trends is warranted.

scholarly journals Assessment of quality of information available over the internet about vegan diet

2019 ◽  
Vol 49 (6) ◽  
pp. 1142-1152 ◽  
Author(s):  
Olivia Genevieve El Jassar ◽  
Isobel Nadia El Jassar ◽  
Evangelos I. Kritsotakis
Keyword(s):  
Health Information ◽  
Poor Quality ◽  
Vegan Diet ◽  
The Internet ◽  
Quality Of Information ◽  
Cross Sectional ◽  
Content Type ◽  
Flesch Reading Ease ◽  
Written Information

Purpose This paper aims to assess the quality of health information available to patients seeking online advice about the vegan diet. Design/methodology/approach A cross-sectional sample of patient-oriented websites was selected by searching for “Vegan diet” in the three most popular search engines. The first 50 websites from each search were examined. Quality of information was assessed using the DISCERN instrument, a questionnaire tool designed to judge the quality of written information on treatment choices. Readability was determined with the Flesch Reading Ease score (FRES) and Flesch–Kincaid Grade Level (FKGL). Relevance to health and disease was assessed by counting the appearances of ten related keywords, generated by searching the query term “Vegan diet” into PubMed and recording the top ten health-related words. Findings Of 150 websites retrieved, 67 (44.7 per cent) met inclusion criteria. Of these, 42 (62.7 per cent) were non-pharmaceutical commercial, 7 (10.4 per cent) institutional, 6 (9.0 per cent) magazines or newspapers, 4 (6.0 per cent) support websites, 4 (6.0 per cent) charitable websites, 2 (3.0 per cent) encyclopedias and 2 (3.0 per cent) personal blogs. The overall DISCERN rating of the websites was fair (mean 41.6 ± 15.4 on an 80-point scale), but nearly half (31/67) of the websites were assessed as having “poor” or “very poor” quality of information. FRES and FKGL readability indices met the recommended standards on average (means 63.3 ± 9.6 and 6.6 ± 1.7, respectively), but did not correlate with high DISCERN ratings. Analysis of variance on DISCERN scores (F(6,60) = 6.536, p < 0.001) and FRES (F(6,60) = 2.733, p = 0.021) yielded significant variation according to website source type. Originality/value Quality standards of health information available on the internet about the vegan diet vary greatly. Patients are at risk of exposure to low quality and potentially misleading information over the internet and should be consulting dietitians or physicians to avoid being misled.

A cross-sectional study on quality of diabetes information identified from the Internet (Preprint)

2019 ◽  
Author(s):  
Jingchun Fan ◽  
Jean Craig ◽  
Na Zhao ◽  
Fujian Song
Keyword(s):  
Health Information ◽  
Search Engine ◽  
Search Engines ◽  
The Internet ◽  
Online Health Information ◽  
Online Information ◽  
Significant Difference ◽  
Content Coverage ◽  
Google Search

BACKGROUND Increasingly people seek health information from the Internet, in particular, health information on diseases that require intensive self-management, such as diabetes. However, the Internet is largely unregulated and the quality of online health information may not be credible. OBJECTIVE To assess the quality of online information on diabetes identified from the Internet. METHODS We used the single term “diabetes” or equivalent Chinese characters to search Google and Baidu respectively. The first 50 websites retrieved from each of the two search engines were screened for eligibility using pre-determined inclusion and exclusion criteria. Included websites were assessed on four domains: accessibility, content coverage, validity and readability. RESULTS We included 26 websites from Google search engine and 34 from Baidu search engine. There were significant differences in website provider (P<0.0001), but not in targeted population (P=0.832) and publication types (P=0.378), between the two search engines. The website accessibility was not statistically significantly different between the two search engines, although there were significant differences in items regarding website content coverage. There was no statistically significant difference in website validity between the Google and Baidu search engines (mean Discern score 3.3 vs 2.9, p=0.156). The results to appraise readability for English website showed that that Flesch Reading Ease scores ranged from 23.1 to 73.0 and the mean score of Flesch-Kincaid Grade Level ranged range from 5.7 to 19.6. CONCLUSIONS The content coverage of the health information for patients with diabetes in English search engine tended to be more comprehensive than that from Chinese search engine. There was a lack of websites provided by health organisations in China. The quality of online health information for people with diabetes needs to be improved to bridge the knowledge gap between website service and public demand.

Home (Page) Style

2011 ◽  
pp. 1591-1606
Author(s):  
Kevin Esterling ◽  
David M.J. Lazer ◽  
Michael A. Neblo
Keyword(s):  
Web Sites ◽  
New Technologies ◽  
Economic Status ◽  
Model Specification ◽  
The Internet ◽  
Science Literature ◽  
Cross Sectional ◽  
Grading Scale ◽  
Successful Innovation

To date, research on e-government has devoted relatively little attention to how legislators use the Internet to enhance the representative function. In this paper, we seek to explain statistically the variation in the quality of Web sites among members of the US Congress. The dependent variable for the preliminary analysis is an ordered categorical rating of the Quality of each member’s Web site on a 5-point grading scale ranging from A to F. The model specification is derived from the political science literature on Congress, including measures of electoral situation, the local situation, and the intra-institutional situation. The cross sectional findings suggest that shorter tenure and closer electoral margin both independently contribute to successful innovation; members appear to adopt new technologies when constituents are connected to the Internet; and members representing districts of lower socio-economic status tend to have better quality Web sites.

Codec Adaptation for Wireless Multimedia Streaming

2012 ◽  
pp. 68-90
Author(s):  
Ping-Cheng Yeh ◽  
Hung-Yun Hsieh ◽  
Zhung-Han Wu ◽  
Yen-Chi Lee ◽  
Chun-Cheng Chiang ◽  
...  
Keyword(s):  
Video Quality ◽  
Wireless Channel ◽  
Multimedia Streaming ◽  
The Internet ◽  
Media Access Control ◽  
Wireless Multimedia ◽  
Media Access ◽  
Internet Backbone ◽  
Received Signal Strength Indication

Due to the time-varying nature of wireless channels and the Internet backbone traffic, it is a challenging task to maintain the quality of wireless multimedia streaming throughout the transmission. An effective solution is to adapt the codec setting based on the wireless channel condition or the Internet backbone state. In this chapter, we present three cross-layer codec adaptation algorithms that adjust the codec setting in real-time based on media access control frame error rate, received signal strength indication, and path bandwidth respectively. Results show that the algorithms are effective in achieving good video quality for wireless multimedia streaming over wireless links.

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