Page Of Search Results Research Articles

A systematic review of internet-based information on dermatomyositis and polymyositis.

Patients with rheumatic diseases are increasingly using internet-based information to inform healthcare utilization and make treatment decisions. Our aim was to assess the readability and quality of internet-based information on dermatomyositis (DM) and polymyositis (PM). Key words "Dermatomyositis" and "Polymyositis" were searched on 3 commonly used search engines (Google, Yahoo and Bing). The first 3 pages (~30) of search results were examined from each search engine. Readability of information was assessed using 4 readability formulae (Flesch Reading Ease Score, Flesch-Kincaid Grade Level, the Simplified Measure of Gobbledygook index, the Coleman-Liau index). Quality of information was assessed using the DISCERN tool, Journal of The American Medical Association (JAMA) benchmark criteria and Health on The Net Code (HoN code). We also examined Google Trends® data to determine if there were obvious temporal search patterns. Thirty-two websites were included in the study after duplicates were removed and exclusion criteria were applied. The overall quality was low including DISCERN with a median overall score of 38/80 (interquartile range 12.25), only 4/32 (13%) websites fulfilled all 4 JAMA benchmark criteria, and 9/32 (28%) had HoN code. Readability of information was assessed using 4 readability formulae (Flesch Reading Ease Score, Flesch-Kincaid Grade Level, the Simplified Measure of Gobbledygook index, the Coleman-Liau index. There was no obvious temporal trend in searches on analysis of Google Trends® data. The overall quality and readability of internet-based information relating to DM and PM is poor. Patients require appropriate information of high quality and readability throughout the course of their disease in order to make informed decisions on their condition including treatment.

ACADEMIC SEARCH ENGINE OPTIMIZATION

Search engine optimization or SEO is the process of optimizing the website and getting it onto the top of the list. There are various ways of optimizing the website as reviewed in this paper. The paper is a summation of the various review papers done by different researchers in different countries. It showcases the key determinant variables from various studies and their criteria in the implementation based on the purpose of the website design. Search engine optimization (SEO) is making small modifications to website. These modifications have a collective impact on the optimization of the website. They improve the user interface and performance of the website. It is a common practice for search engine users to click only the first 5 - 7 websites in the search engine and not search through the remaining pages of search results, so to rank the website in the top 10 search results, optimization is required. This article talks about the optimization techniques used across the various sectors and countries for their websites. The paper majorly focuses on building academic websites visibility.

Too Little or Too Much Seller Assortment: The Effects on Buyers’ Purchase Probabilities in a Food Sharing Platform

Using a unique dataset from a large food sharing platform, we investigate the effect of supply side assortment size on users' purchase probabilities. We find that users' purchase probabilities are increasing in assortment size but at a decreasing rate. The initial increase in purchase probability is large. Users exposed to the mean 15 pages (150 options) of search results have an 8.4% higher purchase probability than those who only have access to one page of options. However, this effect plateaus rapidly with a peak lift in purchase probability compared to average session of 2.86% at 29 pages of options. Furthermore, choice overload exists in our empirical support, leading to a slight decrease in purchase probability versus the optimal assortment size of .1% at 32 pages. Surprisingly, the diminishing returns to assortment size are shown to be due to search costs rather than evaluation costs or decreasing marginal assortment diversification. Moreover, we show that users' exposure to nearby offline options can offset the diminishing impact of assortment size on purchasing. To obtain these results, we resolve endogeneity challenges by introducing a variant of the border identification strategy that exploits discrete delivery distances featured in the data. We contribute to the literature by demonstrating the limits of a platform's aggressive supply side growth, showing that search costs can dampen the purchase probability gains driven by assortment size leading to choice overload, and suggesting that users' outside options can alleviate the concave effects of assortment size on purchase probabilities.

Effective Communication in Social Media

I’ve never considered myself a religious man, but lately I’ve found myself preaching one key message to the community repeatedly – the need to recognize the importance of harnessing social media as part of their ongoing communication and health seeking behaviour. Gone are the days of press kits and faxing press releases. Social Media has become a game changer. Don’t believe me? Facebook alone has over 1.2 billion monthly active users, Twitter over one billion registered users and Instagram over 300 million. Nonetheless, there is strong evidence to suggest that at least part of the source of this trend is the degree to which medically inaccurate information about medical issues surface on the websites where many netizens get their information. Social media survey from MCMC (2017) stated that 77.2% of netizen search medical information including virtual consultation via internet. Sadly, 82.7% of them said, the information that they gathered from internet were trusted. Since most netizens would probably read the first few pages of the internet search results, study shown by American Academy of Physician, only 43.5% of sampled websites contained recommendations that were in line with the AAP recommendations, while 28.1% contained inaccurate information and 28.4% of the websites were not medically relevant. Hence the virtual medical information are not designed to distinguish quality information from misinformation or misleading information, and the consequences of that are particularly troubling for public health issues. Medical provider must put forward an effort to curb this myth and misleading information through social media. Social media plays a crucial role in connecting people and developing relationships, not only with key influencers and journalists covering medical fraternity, but also provides a great opportunity to establish patient's service by gathering input, answering questions and listening to their comment. The insight you gain from social media listening provide our professiona lism with a better understanding of what’s working and what’s not, and goes a long way in helpin g your public image. It’s important to be aware real-time of what people are saying about our fraternity.International Journal of Human and Health Sciences Supplementary Issue: 2019 Page: 25

Gawk web search personalization using dynamic user profile

Search engines have become an essential opening to the large quantity of knowledge available in net and users usually look solely at the primary few pages of search results, the ranking will introduce a big to their sight of the web and their info gained. Most traditional search engine having vocabulary problem like polysemy, synonymy and they produce irrelevant information to the user. It helps to overcome such problems using personalization of the web searching process result based on the domain and user profile. In this, a paper we propose a new method for personalizing the web search results. We proposed a method is introduced a gawk web search personalize (GWSP) model to create the user profile to contain basic information and dynamically update the user profile. In the GWSP model optimize the user query in two ways are search query processing and search query optimizer with WordNet. Search query processing has performed the combining of domain and searching query. Search query optimizer provides the personalized search result with more relevant information to the user query using WordNet and user profile. We present a detailed explanation of model evaluation of the result is increasing the precision and recall value of the traditional search engines comparing to our proposed GWSP model and solved the above-mentioned problems. Finally comparing the new user and existing user searching time was improved.

Search Engine Advertising Perceived Effectiveness

Search engine advertising (SEA), in which businesses (or advertisers) bid on keywords and pay search engine providers (e.g. Google) to get a secure place on the first page of search results, is a prominent source of revenue for search engine companies, and an effective method for businesses to promote their visibility on the Web. SEA is a complex and dynamic form of advertising and managing it effectively is still a challenge for many businesses, particularly smaller businesses. Building upon resource-based theory, this study has developed a context-specific model for understanding advertisers' competency factors that influence SEA effectiveness. Using structural equation modelling and survey data collected from 142 businesses, this research has found that SEA effectiveness is influenced by organizations' ability to manage keywords and bids, ability to analyse and monitor outcomes, advertising expertise, commitment to SEA task, and the use of external experts. Moderating relationships between the factors have been examined, and the implications of the findings for both academics and practitioners have been discussed.

Effective Search Engine Spam Classification

Search engine spam is formed by the spam creators for commercial gain. Spammers applied different strategies in web pages to display the first page of web search results. These strategies may avoid displaying good quality web pages in the top of search engine results page. Nowadays there are numerous devised algorithms available to identify search engine spam. Even though search engines are still affected by search engine spam. There is a necessity for search engine industry to filter search engine spam in the best way. The proposed study identifies spam in web search engine. Spammers try to use most popular search keywords, popular links and advertising keywords in web pages. This strategy helps to increase ranking to display the top of search results. The proposed method is used important features to detect spam pages which are classified using decision tree C4.5 classifier. This method produces better performance when compared with existing classification methods.

Google, Monopolization, Refusing to Deal and the Duty to Promote Economic Activity

Google’s general search engine significantly enhances welfare by enabling but-for transactions, and it also helps consumers secure lower prices. Nearly all consumers check only the first page of search results. Google makes no direct money from organic search while it earns enormous sums instantaneously from paid ads. Google refuses to deal by lowering the rank of organic results below the first page to prompt users to click on, or businesses to buy, paid ads, or when it favors paid ads that draw many more clicks than purchases. The paper argues that Google should owe a duty to promote economic activity by ranking organic results according to relevance and quality. Without dictating what qualifies as relevant, the rule prevents Google from including the profitability of paid ads as a determinative factor because it objectively is irrelevant. Strict liability should apply to intentional distortions from relevance and quality, while plaintiffs would need to establish causation and damages individually. The duty alternatively could apply when any entity, individually or collectively, has market power in the downstream market. Google’s search engine qualifies as indispensable for innumerable companies that do not lead markets, because they cannot compete effectively when Google does not rank organic results according to relevance. Google would violate Art. 102(b) by limiting production and markets when it prevents transactions and suppresses consumer surplus.

The Quality of Information on Combined Oral Contraceptives Available on the Internet.

Combined oral contraceptives (COC) are a popular choice among women. The Internet is an accessible and popular source of information on contraception. The objective of this study was to evaluate the quality of online information on COC. A quantitative content analysis was completed on websites containing patient health information on COCs. The search was completed in October 2016 using Google; search terms included "birth control pill," "oral contraception," "oral birth control", "birth control," and "pregnancy prevention." The first three pages of search results were screened according to inclusion criteria. The DISCERN instrument and JAMA Benchmarks were used to assess quality. Websites were analyzed independently by two coders; discrepancies were resolved by third coder (Canadian Task Force Classification III). Of the 155 websites identified, 32 were eligible for review. Most websites mentioned contraceptive benefit (81.3%), and half reported the typical effectiveness of COCs (53.1%). Commonly included non-contraceptive benefits were alleviation of dysmenorrhea (87.5%) and reduced blood loss (84.4%). Risk of venous thromboembolism was listed in 81.3% of websites, including stroke (56.3%) and myocardial infarction (46.9%); however, sites failed to include details with these risks. Only 46.9% provided information on starting COC; the first-day start method was the most common (40.6%). Nearly half lacked details on managing missed pills (46.9%). The mean Flesch-Kincaid Grade Level was 9±2.0. The mean DISCERN score was 46.3 ±9.37, indicating "fair" quality. Online information on COCs was variable in quality, often missing key information for making informed decisions. Health care providers should be aware of information gaps when advising women to seek information online.

Google Ranking of Plastic Surgeons Values Social Media Presence Over Academic Pedigree and Experience.

Patients increasingly rely on online resources to make healthcare decisions. Google dominates the search engine market; first-page results receive most of the web traffic and therefore serve as an important indicator of consumer reach. Our objective was to analyze the respective importance of physician academic pedigree, experience, and social media presence on plastic surgeon Google first-page search result placement. A Google.com search was conducted in the top 25 United States metropolitan areas to identify the top 20 websites of board-certified plastic surgeons. Social media presence was quantified by tracking the number of followers on Facebook, Twitter, and Instagram for every surgeon as well as medical school and year of graduation. The primary outcome was website ranking in the first page of Google search results. To identify the independent predictors of presence on the front page, we performed a multivariate logistic regression. Total number of social medial followers was associated with Google front-page placement (P < 0.001), whereas medical school ranking and years in practice were not (P = 0.17 and 0.39, respectively). A total 19.6% of plastic surgeon practices in our study cohort still had no social media accounts whatsoever. For the past few decades, plastic surgery practices relied on referrals, word of mouth, and the surgeon's reputation and academic pedigree to attract new patients. It is now clear that this practice-building model is being rapidly supplanted by a new paradigm based on social media presence to reach potential patients.

Optimizing Whole-Page Presentation for Web Search

Modern search engines aggregate results from different verticals : webpages, news, images, video, shopping, knowledge cards, local maps, and so on. Unlike “ten blue links,” these search results are heterogeneous in nature and not even arranged in a list on the page. This revolution directly challenges the conventional “ranked list” formulation in ad hoc search. Therefore, finding proper presentation for a gallery of heterogeneous results is critical for modern search engines. We propose a novel framework that learns the optimal page presentation to render heterogeneous results onto search result page (SERP). Page presentation is broadly defined as the strategy to present a set of items on SERP, much more expressive than a ranked list. It can specify item positions, image sizes, text fonts, and any other styles as long as variations are within business and design constraints. The learned presentation is content aware, i.e., tailored to specific queries and returned results. Simulation experiments show that the framework automatically learns eye-catchy presentations for relevant results. Experiments on real data show that simple instantiations of the framework already outperform leading algorithm in federated search result presentation. It means the framework can learn its own result presentation strategy purely from data, without even knowing the “probability ranking principle.”

The “Buzz” About Tinnitus: A Social Media Study

The “Buzz” About Tinnitus: A Social Media Study

Protocol for a systematic review: Universal school-based programmes for improving social and emotional outcomes in children aged 3-11 years: a systematic review and meta-analysis.

Protocol for a systematic review: Universal school-based programmes for improving social and emotional outcomes in children aged 3-11 years: a systematic review and meta-analysis.

Dermatology on Google+

Google+ sets itself apart from other social media platforms through a number of unique features, including search engine optimization services and high user satisfaction. The purpose of this study was to evaluate the presence of dermatological entities on Google+. Searches were conducted to locate any Google+ accounts associated with the most popular dermatology journals, dermatological patient-centered organizations, and professional dermatology-related organizations on social media. Additionally, "dermatology Google+" was searched via Google, and Google+ profiles retrieved in the first page of results were assessed. Four of the five active Google+ profiles identified in the first page of Google search results were run by private dermatology practices. Only one of the 13 searched journals was active on Google+. Twenty-six of the 34 patient-centered and professional organizations had Google+ accounts, but only seven of these accounts were active in the last year. Therefore, unlike some private practices, the majority of dermatology journals and organizations have yet to take advantage of the exclusive opportunities offered by Google+ to expand their audiences and bolster their overall online presence.

Accessibility of online self-management support websites for people with osteoarthritis: A text content analysis.

This study assessed accessibility of online self-management support webpages for people with osteoarthritis by considering readability of text and inclusion of images and videos. Eight key search terms developed and agreed with patient and public involvement representatives were entered into the Google search engine. Webpages from the first page of Google search results were identified. Readability of webpage text was assessed using two standardised readability indexes, and the number of images and videos included on each webpage was recorded. Forty-nine webpages met the inclusion criteria and were assessed. Only five of the webpages met the recommended reading level for health education literature. Almost half (44.9%) of webpages did not include any informative images to support written information. A minority of the webpages (6.12%) included relevant videos. Information provided on health webpages aiming to support patients to self-manage osteoarthritis may not be read, understood or used effectively by many people accessing it. Recommendations include using accessible language in health information, supplementing written information with visual resources and reviewing content and readability in collaboration with patient and public involvement representatives.

User Satisfaction Prediction with Mouse Movement Information in Heterogeneous Search Environment

Satisfaction prediction is one of the prime concerns in search performance evaluation. It is a non-trivial task for three major reasons: (1) The definition of satisfaction is subjective and different users may have different opinions in the process of satisfaction judgment. (2) Most existing studies on satisfaction prediction mainly rely on users' click-through or query reformulation behaviors but there are many sessions without such interactions. (3) Most existing works primarily rely on the hypothesis that all results on search result pages (SERPs) are homogeneous, but a variety of heterogeneous search results have been aggregated into SERPs to improve the diversity and quality of search results recently. To shed light on these research questions, we construct an experimental search engine that could collect users' satisfaction feedback as well as mouse click-through/movement data. Inspired by recent studies in predicting search result relevance based on mouse movement patterns (namely, motifs), we propose to estimate search satisfaction with motifs extracted from mouse movement data on SERPs. Besides the existing frequency-based motif selection method, two novel selection strategies (distance-based and distribution-based) are also adopted to extract high-quality motifs for satisfaction prediction. Experimental results show that the proposed strategies outperform existing methods and have promising generalization capability for unseen users and queries in both a homogeneous and heterogeneous search environment.

YouTube videos in the English language as a patient education resource for cataract surgery.

To assess the quality of the content of YouTube videos for cataract surgery patient education. Hotel Dieu Hospital, Kingston, Ontario, Canada. Observational study. "Cataract surgery," "cataract surgery for patients," and "cataract surgery patient education" were used as search terms. The first two pages of search results were reviewed. Descriptive statistics such as video length and view count were obtained. Two cataract surgeons devised 14 criteria important for educating patients about the procedure. Videos were analyzed based on the presence or absence of these criteria. Videos were also assessed for whether they had a primary commercial intent. Seventy-two videos were analyzed after excluding 48 videos that were duplicate, irrelevant, or not in English. The majority of videos came from a medical professional (71%) and many depicted a real cataract surgery procedure (43%). Twenty-one percent of the videos had a primary commercial intent to promote a practice or product. Out of a total possible 14 points, the mean number of usefulness criteria satisfied was only 2.28±1.80. There was no significant difference in view count between the most useful videos and other videos (p=0.94). Videos from medical organizations such as the National Health Service were more useful (p<0.0001). Cataract surgery videos are popular on YouTube, but most are not adequately educational. Patients may be receiving biased information from videos created with primary commercial intent. Physicians should be aware of the type of information patients may be accessing on YouTube.

Reputation Management and Content Control: An Analysis of Radiation Oncologists' Digital Identities

Google is the most popular search engine in the United States, and patients are increasingly relying on online webpages to seek information about individual physicians. This study aims to characterize what patients find when they search for radiation oncologists online. The Centers for Medicare and Medicaid Services (CMS) Physician Comparable Downloadable File was used to identify all Medicare-participating radiation oncologists in the United States and Puerto Rico. Each radiation oncologist was characterized by medical school education, year of graduation, city of practice, gender, and affiliation with an academic institution. Using a custom Google-based search engine, up to the top 10 search results for each physician were extracted and categorized as relating to: (1) physician, hospital, or health care system; (2) third-party; (3) social media; (4) academic journal articles; or (5) other. Among all health care providers in the United States within CMS, 4443 self-identified as being radiation oncologists and yielded 40,764 search results. Of those, 1161 (26.1%) and 3282 (73.9%) were classified as academic and nonacademic radiation oncologists, respectively. At least 1 search result was obtained for 4398 physicians (99.0%). Physician, hospital, and health care-controlled websites (16,006; 39.3%) and third-party websites (10,494; 25.7%) were the 2 most often observed domain types. Social media platforms accounted for 2729 (6.7%) hits, and peer-reviewed academic journal websites accounted for 1397 (3.4%) results. About 6.8% and 6.7% of the top 10 links were social media websites for academic and nonacademic radiation oncologists, respectively. Most radiation oncologists lack self-controlled online content when patients search within the first page of Google search results. With the strong presence of third-party websites and lack of social media, opportunities exist for radiation oncologists to increase their online presence to improve patient-provider communication and better the image of the overall field. We discuss strategies to improve online visibility.

Comparison of three web-scale discovery services for health sciences research*

Objective: The purpose of this study was to investigate the relative effectiveness of three web-scale discovery (WSD) tools in answering health sciences search queries.Methods: Simple keyword searches, based on topics from six health sciences disciplines, were run at multiple real-world implementations of EBSCO Discovery Service (EDS), Ex Libris’s Primo, and ProQuest’s Summon. Each WSD tool was evaluated in its ability to retrieve relevant results and in its coverage of MEDLINE content.Results: All WSD tools returned between 50%–60% relevant results. Primo returned a higher number of duplicate results than the other 2WSD products. Summon results were more relevant when search terms were automatically mapped to controlled vocabulary. EDS indexed the largest number of MEDLINE citations, followed closely by Summon. Additionally, keyword searches in all 3 WSD tools retrieved relevant material that was not found with precision (Medical Subject Headings) searches in MEDLINE.Conclusions: None of the 3 WSD products studied was overwhelmingly more effective in returning relevant results. While difficult to place the figure of 50%–60% relevance in context, it implies a strong likelihood that the average user would be able to find satisfactory sources on the first page of search results using a rudimentary keyword search. The discovery of additional relevant material beyond that retrieved from MEDLINE indicates WSD tools’ value as a supplement to traditional resources for health sciences researchers.

JOURNAL CLUB: Radiologists' Online Identities: What Patients Find When They Search Radiologists by Name

Patients are increasingly seeking online information regarding their health and their health care providers. Concurrently, more patients are accessing their electronic medical records, including their radiology reports, via online portals. Thus, this study aims to characterize what patients find when they search for radiologists online. All Medicare-participating U.S. radiologists were identified using the Physician Compare National Downloadable File dataset obtained from the Centers for Medicare & Medicaid Services (CMS). Using a custom application, the top 10 Google search results for each radiologist in the national dataset were retrieved, and 90.5% of website domains with more than one occurrence were categorized as follows: physician or institution controlled, third party-controlled physician information systems, social media, or other. Aggregate and subgroup analyses were performed. Of all U.S. health care providers recognized by CMS, 30,601 self-identified as radiologists. There was at least one search result for 30,600 radiologists (99.997%), for a total of 305,795 websites. Of all the domains, 69.8% were third party-controlled physician information systems, 17.7% were physician or institution controlled, 1.0% were social media platforms, 2.1% were other, and 9.5% were not classified. Nine of the top 10 most commonly encountered domains were commercially controlled third-party physician information systems. Most U.S. radiologists lack self-controlled online content within the first page of Google search results. Opportunities exist for individual radiologists, radiology groups, academic departments, and professional societies to amend their online presence, control the content patients discover, and improve the visibility of the field at large.