Internet Search Patterns Research Articles

Analyzing Google Search Trends for Migraine Surgery and Nurtec in Response to Public Announcements.

Nurtec, a versatile migraine medication, has gained popularity. However, the awareness of migraine surgery remains uncertain. Following a descriptive approach, this cross-sectional study used Google Trends data as of December 1, 2023, to analyze internet search patterns. Approval from Vanderbilt University's institutional review board and adherence to Strengthening the Reporting of Observational Studies in Epidemiology guidelines were confirmed. Monthly relative search volume (RSV) data for "migraine surgery," "Nurtec," and "Rimegepant" were collected from January 1, 2004, to November 11, 2023, within the United States. Statistical analysis involved determining mean monthly RSV values and percentage changes for critical periods. For "Nurtec," a significant surge in RSV occurred from March 2020 to April 2020 (344%). Additional peaks were observed from June 2020 to July 2020 (66%), October 2020 to December 2020 (169%), May 2021 to June 2021 (33%), and May 2023 to June 2023 (14%). "Migraine surgery" exhibited a notable 400% increase in RSV, from March 2005 to May 2005. However, post-2006, RSV for "migraine surgery" consistently remained low without noticeable peaks. The analysis of RSV trends for "Nurtec" and "migraine surgery" from 2004 to 2023 reveals the impact of pivotal events and marketing strategies on public interest. The distinct peaks in "Nurtec" RSV align with Food & Drug Administration approvals and marketing campaigns, highlighting the medication's accessibility. Conversely, the consistently low RSV for "migraine surgery" indicates limited awareness, emphasizing the need for enhanced promotion and education regarding surgical interventions.

The Association Between Internet Search Patterns and Scabies Incidence Across the United States

Background
 Scabies, a contagious skin infestation caused by Sarcoptes scabiei, is a significant public health concern [1]. Traditional surveillance methods for scabies suffer from time lag and incomplete data, hindering early detection and response [5]. The widespread use of the internet and search engines, such as GoogleTM, offer new opportunities for alternative surveillance approaches. 
 Objective
 This study aimed to explore the association between scabies search volumes on Google TrendsTM (GTs) and scabies incidence at the state level across the United States.
 Methods
 GTs data for each U.S. state and scabies incidence from 2011 to 2019 were analyzed for summary statistics and association.
 Results
 The mean Spearman correlation coefficient for the period of 2011-2019 indicated a strong positive correlation between GTs RSVs for “scabies” and the incidence of scabies in the United States. Using an unpaired t-test, this correlation was found to be statistically significant. 
 Conclusions
 In resource-scarce environments where access to care is a common barrier, healthcare providers and departments can leverage this information to effectively target populations and employ resources for scabies prevention and treatment. Analyzing search engine term patterns can enhance our understanding of people's behavior when they suspect a scabies infestation.

Do Internet search patterns predict election results? An analysis of the 2022 presidential election in Colombia using a reproducible descriptive analytics framework

Trabajos recientes resaltan la pertinencia de los datos de Tendencias de Google para predecir procesos electorales. Sin embargo, dicha evidencia aún no es generalizable y no hay consenso sobre la forma más adecuada de hacer analítica con datos de esta herramienta para este fin. El estudio examina si tales datos son útiles para predecir resultados de elecciones presidenciales, tomando como caso de estudio la elección de presidente de Colombia 2022-2026 (segunda vuelta), usando un marco reproducible propuesto de analítica descriptiva en R. Se tuvo una muestra de 1020 observaciones. Todos los escenarios de análisis (considerando Google, YouTube y ambos) acertaron respecto al candidato que fue elegido por los ciudadanos, siendo la mejor estimación aquella arrojada por los datos de un día antes de las elecciones: inferior de 2% de distancia respecto al verdadero porcentaje de votación de cada candidato. Esta propuesta es una alternativa costo-efectiva para predecir resultados de elecciones presidenciales.

Internet search patterns for psychoactive substance use prevention and treatment in Mexico: A cross-sectional study

ObjectivesThis study was aimed at describing the patterns of searches for information on the prevention and treatment of psychoactive drug use in Mexico, among both the general population and the personnel dedicated to the prevention and treatment of this type of substance use in Mexico. MethodsAn exploratory cross-sectional quantitative study was performed with a validated online questionnaire to collect sociodemographic information, background information and self-reported internet search patterns on psychoactive substance use prevention. A chi-square test was used to identify differences between groups, and a classification tree was used to analyze the search patterns. The combinations of the search criteria with the search topics were entered into Google Trends to validate the information. ResultsThe participants (n = 544 adults) were mostly women (65%), 18–30 years of age and bachelor's degree holders (57%). A total of 32% were students, 59% searched the Internet for drug use prevention or treatment, and 12% professionally engaged in drug use prevention or treatment. ConclusionsStatistically significant differences were found between the general population and professionals dedicated to drug dependency services. We identified six search patterns used in the decision-making process by people seeking information on drug prevention and treatment on the Internet. These patterns were graphically visualized with a classification tree, although, this method did not allow clear differentiation of patterns between groups. The search patterns were successfully validated with Google trends.

How Americans encounter guns: Mixed methods content analysis of YouTube and internet search data

Firearm-related injury and death is a serious public health issue in the U.S. As more Americans consume news and media online, there is growing interest in using these channels to prevent firearm-related harms. Understanding the firearm-related narratives to which consumers are exposed is foundational to this work.This research used the browsing behavior of a representative sample of American adults to identify seven firearm-related content “ecosystems” (defined as naturally occurring networks of channels watched by the same users) on YouTube; we then described the demographics and internet search patterns of users affiliated with each ecosystem.Over the 9-month study period, 72,205 panelists had 16,803,075 person-video encounters with 7,274,093 videos. Among these, 282,419 were related to firearms. Using fast greedy clustering, we partitioned users and channel interactions into seven distinct channel-based content ecosystems that reached more than 1/1000 YouTube users per day. These ecosystems were diverse in reach, users, and content (e.g., guns for self-protection, guns for fun).On average, 0.5% of panelists performed a firearm-related internet search on a given day. The vast majority of searches were related to mass shootings or police-involved shootings (e.g., “active shooter”), and virtually none were about more common firearm harm such as suicide. Searches for firearm safety information were most common among panelists affiliated with the “Hunting & Fishing” and “Guns & Gear” ecosystems, which were watched primarily by older, white men.These findings identify an opportunity for analyzing firearm-related narratives and tailoring firearm safety messaging for users affiliated with specific online content ecosystems.

Assessing the online search behavior for COVID-19 outbreak: Evidence from Iran.

IntroductionGoogle Trends (GT) is an important free tool for online search behavior analysis, which provides access to Internet search patterns in Google. In recent decades, this database has been used for predicting the outbreak of epidemics and pandemics in different regions of the world. The present study aimed to evaluate Iranian users’ COVID-19-related online search behavior.MethodsThis longitudinal study was conducted in 2021. The data of Iranian users’ COVID-19-related online search behavior (trend) were collected from the GT website, and the epidemiological data of the COVID-19 outbreak in Iran from 16 February 2020 to 2 January 2021 were sourced from the Iranian ministry of health and medical education, as well as the World Health Organization. The data were analyzed in SPSS using descriptive and inferential statistics.ResultsAll the COVID-19-related search terms in Iran gained their highest popularity value (relative search volume = 100) in the first 8 weeks of the pandemic, and then this value assumed a decreasing trend over time. Based on factor analysis, relative search volume (RSV) of factor 1 terms (related to corona [in Persian] and corona) have a low significance relationship with COVID-19 epidemiological data in one-, two-, and three-week time lags. Although, RSV of factor 2 terms (related to COVID [in Persian], COVID-19, and coronavirus) correlated with the total weekly number of COVID-19 cases in mentioned time lags.ConclusionCOVID-19-related search terms were popular among Iranian users at the beginning of the pandemic. The online search queries and the key terms searched by Iranian users varied during the COVID-19 pandemic. This study provides evidence in favor of the adoption of GT as an epidemiological surveillance tool but, it is necessary to consider that mass media and other confounders can significantly influence RSVs.

Confounding Effect of Undergraduate Semester-Driven "Academic" Internet Searches on the Ability to Detect True Disease Seasonality in Google Trends Data: Fourier Filter Method Development and Demonstration.

Internet search volume for medical information, as tracked by Google Trends, has been used to demonstrate unexpected seasonality in the symptom burden of a variety of medical conditions. However, when more technical medical language is used (eg, diagnoses), we believe that this technique is confounded by the cyclic, school year-driven internet search patterns of health care students. This study aimed to (1) demonstrate that artificial "academic cycling" of Google Trends' search volume is present in many health care terms, (2) demonstrate how signal processing techniques can be used to filter academic cycling out of Google Trends data, and (3) apply this filtering technique to some clinically relevant examples. We obtained the Google Trends search volume data for a variety of academic terms demonstrating strong academic cycling and used a Fourier analysis technique to (1) identify the frequency domain fingerprint of this modulating pattern in one particularly strong example, and (2) filter that pattern out of the original data. After this illustrative example, we then applied the same filtering technique to internet searches for information on 3 medical conditions believed to have true seasonal modulation (myocardial infarction, hypertension, and depression), and all bacterial genus terms within a common medical microbiology textbook. Academic cycling explains much of the seasonal variation in internet search volume for many technically oriented search terms, including the bacterial genus term ["Staphylococcus"], for which academic cycling explained 73.8% of the variability in search volume (using the squared Spearman rank correlation coefficient, P<.001). Of the 56 bacterial genus terms examined, 6 displayed sufficiently strong seasonality to warrant further examination post filtering. This included (1) ["Aeromonas" + "Plesiomonas"] (nosocomial infections that were searched for more frequently during the summer), (2) ["Ehrlichia"] (a tick-borne pathogen that was searched for more frequently during late spring), (3) ["Moraxella"] and ["Haemophilus"] (respiratory infections that were searched for more frequently during late winter), (4) ["Legionella"] (searched for more frequently during midsummer), and (5) ["Vibrio"] (which spiked for 2 months during midsummer). The terms ["myocardial infarction"] and ["hypertension"] lacked any obvious seasonal cycling after filtering, whereas ["depression"] maintained an annual cycling pattern. Although it is reasonable to search for seasonal modulation of medical conditions using Google Trends' internet search volume and lay-appropriate search terms, the variation in more technical search terms may be driven by health care students whose search frequency varies with the academic school year. When this is the case, using Fourier analysis to filter out academic cycling is a potential means to establish whether additional seasonality is present.

Internet searches and heat-related emergency department visits in the United States

Emerging research suggests that internet search patterns may provide timely, actionable insights into adverse health impacts from, and behavioral responses to, days of extreme heat, but few studies have evaluated this hypothesis, and none have done so across the United States. We used two-stage distributed lag nonlinear models to quantify the interrelationships between daily maximum ambient temperature, internet search activity as measured by Google Trends, and heat-related emergency department (ED) visits among adults with commercial health insurance in 30 US metropolitan areas during the warm seasons (May to September) from 2016 to 2019. Maximum daily temperature was positively associated with internet searches relevant to heat, and searches were in turn positively associated with heat-related ED visits. Moreover, models combining internet search activity and temperature had better predictive ability for heat-related ED visits compared to models with temperature alone. These results suggest that internet search patterns may be useful as a leading indicator of heat-related illness or stress.

Global interest in vaccines during the COVID‐19 pandemic: Evidence from Google Trends

COVID-19 (coronavirus disease 2019) vaccines have become available; now, everyone has the opportunity to get vaccinated. We used Google Trends (GT) data to assess the global public interest in COVID-19 vaccines during the pandemic. For the analysis, a period of 17 months was chosen (from Jan 19, 2020, to Jul 04, 2021). Interest in user queries was tracked by keywords (corona vaccine, COVID-19 vaccine development, Sputnik v, Pfizer vaccine, AstraZeneca vaccine, etc.). The geographic analysis of queries was also carried out. The interest of users in the vaccine is significantly increasing. It is focused on the side effects of vaccines, and users pay attention to vaccines’ developers from different countries. The correlation between the scientific publications devoted to vaccine development and such requests of users on the internet is absent. This study shows that internet search patterns can be used to gauge public attitudes towards coronavirus vaccination. Safety concerns consistently high follow an interest in vaccine side effects. This data can be used to track and predict attitudes towards vaccination of populations from COVID-19 in different countries before global vaccination becomes available to help mitigate the adverse effects of the pandemic.

An open repository of real-time COVID-19 indicators

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.

Characterizing internet search patterns for neurologic and neurosurgical conditions following celebrity diagnosis.

Social media and internet platforms have become significant drivers of mass-information. Highly publicized events, such as John McCain's announcement of his glioblastoma diagnosis, often drive national public interest in medical topics. Improved understanding of the temporality of interest spikes as well as the nature of the information that garners attention from outside the medical community can help inform ways in which the medical community can boost awareness of (and interest in) the field of neurosurgery. We utilized the "explore topics" feature on Google Trends to obtain web, news, and YouTube search data from May 1, 2015, to May 1, 2019 for the terms "glioblastoma," "brain tumor," "stroke," and "multiple sclerosis" to identify periods of visibly increased search interest. Search results for "glioblastoma" showed significantly elevated average interest during the period of July 3-23, 2017, as compared to that generated since this specific time period (42.6 vs. 8.73, P<0.001). This increased search activity therefore directly correlated with John McCain's public announcement of his glioblastoma diagnosis, and a similar search interest spike was evident using the search term "brain tumor" (87.3 vs. 64.2, P<0.001). Search results for "multiple sclerosis" showed - as a result of the online buzz created by Selma Blair's battle with the disease - significantly elevated average interest from October 8, 2018, to October 28, 2018, and February 11, 2019, to March 3, 2019, when compared to the average interest of the remaining time (59 vs. 40.16, P<0.001 and 69 vs. 40.16, P<0.001). Finally, there were no corresponding elevations in YouTube search interest for any of the terms associated with increased interest on Google Trends. Following major events related to the neurological disease of public figures there is an expected rise in Google search interest relevant to these topics. Our findings suggest that there is an optimal window of approximately 2 weeks following each of these events for activist and clinical groups to publicize their desired message, and for the field of neurosurgery and neurological science to increase public awareness regarding specific diseases, with a regression to baseline interest by 4 months following the event.

Internet search patterns reveal clinical course of COVID-19 disease progression and pandemic spread across 32 countries

Effective public health response to novel pandemics relies on accurate and timely surveillance of pandemic spread, as well as characterization of the clinical course of the disease in affected individuals. We sought to determine whether Internet search patterns can be useful for tracking COVID-19 spread, and whether these data could also be useful in understanding the clinical progression of the disease in 32 countries across six continents. Temporal correlation analyses were conducted to characterize the relationships between a range of COVID-19 symptom-specific search terms and reported COVID-19 cases and deaths for each country from January 1 through April 20, 2020. Increases in COVID-19 symptom-related searches preceded increases in reported COVID-19 cases and deaths by an average of 18.53 days (95% CI 15.98–21.08) and 22.16 days (20.33–23.99), respectively. Cross-country ensemble averaging was used to derive average temporal profiles for each search term, which were combined to create a search-data-based view of the clinical course of disease progression. Internet search patterns revealed a clear temporal pattern of disease progression for COVID-19: Initial symptoms of fever, dry cough, sore throat and chills were followed by shortness of breath an average of 5.22 days (3.30–7.14) after initial symptom onset, matching the clinical course reported in the medical literature. This study shows that Internet search data can be useful for characterizing the detailed clinical course of a disease. These data are available in real-time at population scale, providing important benefits as a complementary resource for tracking pandemics, especially before widespread laboratory testing is available.

COVID-19-Related Internet Search Patterns Among People in the United States: Exploratory Analysis.

BackgroundThe internet is a well-known source of information that patients use to better inform their opinions and to guide their conversations with physicians during clinic visits. The novelty of the recent COVID-19 outbreak has led patients to turn more frequently to the internet to gather more information and to alleviate their concerns about the virus.ObjectiveThe aims of the study were to (1) determine the most commonly searched phrases related to COVID-19 in the United States and (2) identify the sources of information for these web searches.MethodsSearch terms related to COVID-19 were entered into Google. Questions and websites from Google web search were extracted to a database using customized software. Each question was categorized into one of 6 topics: clinical signs and symptoms, treatment, transmission, cleaning methods, activity modification, and policy. Additionally, the websites were categorized according to source: World Health Organization (WHO), Centers for Disease Control and Prevention (CDC), non-CDC government, academic, news, and other media.ResultsIn total, 200 questions and websites were extracted. The most common question topic was transmission (n=63, 31.5%), followed by clinical signs and symptoms (n=54, 27.0%) and activity modification (n=31, 15.5%). Notably, the clinical signs and symptoms category captured questions about myths associated with the disease, such as whether consuming alcohol stops the coronavirus. The most common websites provided were maintained by the CDC, the WHO, and academic medical organizations. Collectively, these three sources accounted for 84.0% (n=168) of the websites in our sample.ConclusionsIn the United States, the most commonly searched topics related to COVID-19 were transmission, clinical signs and symptoms, and activity modification. Reassuringly, a sizable majority of internet sources provided were from major health organizations or from academic medical institutions.

Internet search patterns reveal firearm sales, policies, and deaths

Firearm-related violence is a leading cause of morbidity and mortality and is at the center of a major public health and policy debate in the United States. Despite the critical role of data in informing this debate, accurate and comprehensive data on firearm sales and ownership is not readily available. In this study, we evaluate the potential of using firearm-related internet search queries as a complementary, freely available, and near-real-time data source for tracking firearm sales and ownership that enables analysis at finer geographic and temporal scales. (Here, we examine data by state and by month to compare with other data sources, but search engine volume can be analyzed by city and by the week or by day). We validate search query volume against available data on background checks in all 50 US states, and find that they are highly correlated over time (Pearson’s r = 0.96, Spearman’s ρ = 0.94) and space (Pearson’s r = 0.78, Spearman’s ρ = 0.76). We find that stratifying this analysis by gun type (long-gun vs. handgun) increases this correlation dramatically, across both time and space. We also find a positive association between firearm-related search query volume and firearm-related mortality (Pearson’s r = 0.87, Spearman’s ρ = 0.90), and a negative association with the strength of state-level firearm control policies (Pearson’s r = −0.82, Spearman’s ρ = −0.83). Based on these findings, we propose a framework for prospective surveillance that incorporates firearm-related internet search volume as a useful complementary data source to inform the public health policy debate on this issue.

Anomalous asthma and chronic obstructive pulmonary disease Google Trends patterns during the COVID-19 pandemic

BackgroundAn increase in online searches on health topics may either mirror epidemiological changes or reflect media coverage. In the context of COVID-19, this is particularly relevant, as COVID-19 symptoms may be mistaken for those of respiratory disease exacerbations. Therefore, we aimed to assess Internet search patterns on asthma and chronic obstructive pulmonary disease (COPD) in the context of COVID-19, as compared to searches on other chronic diseases.MethodsWe retrieved Google Trends (GTs) data on two respiratory (asthma and COPD) and three non-respiratory (diabetes, hypertension, and Crohn’s disease) chronic diseases over the past 5 years (up to May 31, 2020). For 54 countries, and for each disease, we built autoregressive integrated moving average (ARIMA) models to predict GTs for 2020 based on 2015–2019 search patterns. In addition, we estimated the proportion of searches in which COVID-19-related terms were used. To assess the potential impact of media coverage on online searches, we assessed whether weekly “asthma” GTs correlated with the number of Google News items on asthma.ResultsOver the past 5 years, worldwide search volumes for asthma and COPD reached their maximum values in March 2020. Such was not observed for diabetes, hypertension and Crohn’s disease. In 38 (70%) countries, GTs on asthma were higher in March 2020 than the respective maximum predicted values. This compares to 19 countries for COPD, 23 for hypertension, 11 for Crohn’s disease, and 9 for diabetes. Queries with COVID-19-related terms represented up to 47.8% of the monthly searches on asthma, and up to 21.3% of COPD searches. In most of the assessed countries, moderate-strong correlations were observed between “asthma” GTs and the number of news items on asthma.ConclusionsDuring March 2020, there was a peak in searches on asthma and COPD, which was probably mostly driven by media coverage, as suggested by their simultaneity in several countries with different epidemiological situations.

Media coverage of the 2019 United States Food and Drug Administration ordered withdrawal of vaginal mesh products for pelvic organ prolapse.

On April 16, 2019, the United States Food and Drug Administration announced a withdrawal on sales and distribution of transvaginal mesh products for pelvic organ prolapse. The aim of this study was to asses online user behavior on pelvic-mesh related articles after the withdrawal and to evaluate article accuracy. We used Google Trends© to identify the terms related to pelvic mesh that experienced increased activity after the FDA announcement. The terms were analyzed for worldwide social media engagement (Facebook, Twitter, Pinterest, and Reddit) between April 16-19, 2019. The top ten lay press articles shared for each term were evaluated. We also examined the top ten Google search results for each term on June 6, 2019, in the US to evaluate what information was available after peak interest subsided. During peak activity in April, 30 unique articles were identified after the FDA announcement. Two (6.7%) did not mention the April 2019 FDA announcement. Seven (23%) discussed mesh for stress urinary incontinence. After peak interest on June 6, 2019, Google identified 26 unique articles for the four terms. Seven (27%) did not mention the FDA announcement, and 3 (12%) mentioned mesh for incontinence. Internet search patterns and social media behavior following the April 2019 ordered withdrawal on transvaginal mesh for pelvic organ prolapse reveal that some of the most disseminated information did not accurately or thoroughly distinguish the type of mesh discussed. This could lead to negative consequences for other mesh indications in female pelvic medicine and reconstructive surgery.

MP05-09 SOURCES OF CONFUSION: MEDIA COVERAGE OF THE 2019 UNITED STATES FOOD AND DRUG ADMINISTRATION BAN ON VAGINAL MESH FOR PELVIC ORGAN PROLAPSE

You have accessJournal of UrologyUrodynamics/Lower Urinary Tract Dysfunction/Female Pelvic Medicine: Pelvic Prolapse (MP05)1 Apr 2020MP05-09 SOURCES OF CONFUSION: MEDIA COVERAGE OF THE 2019 UNITED STATES FOOD AND DRUG ADMINISTRATION BAN ON VAGINAL MESH FOR PELVIC ORGAN PROLAPSE Poone Shoureshi*, Wai Lee, Kathleen Kobashi, and Kamran P. Sajadi Poone Shoureshi*Poone Shoureshi* More articles by this author , Wai LeeWai Lee More articles by this author , Kathleen KobashiKathleen Kobashi More articles by this author , and Kamran P. SajadiKamran P. Sajadi More articles by this author View All Author Informationhttps://doi.org/10.1097/JU.0000000000000819.09AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: On April 16th, 2019, the United States Food and Drug Administration (FDA) announced a ban on transvaginal mesh for the treatment of pelvic organ prolapse (POP). The aim of this study was to asses online user behavior on pelvic-mesh related articles after the ban. METHODS: We used Google Trends© to identify the terms related to pelvic mesh that experienced increased activity after the FDA ban. The terms were analyzed for worldwide social media engagement (Facebook, Twitter, Pinterest, and Reddit) between April 16-19, 2019. The top ten lay press articles shared for each term were evaluated. We also examined the top ten Google search results for each term on June 6th, 2019 in the United States to evaluate what information was available after peak interest subsided. RESULTS: Thirty unique articles with peak activity after the FDA ban were identified. Two (6.7%) did not mention the April 2019 FDA announcement. Seven (23%) discussed mesh for stress urinary incontinence. Eighteen (69%) mentioned lawsuits or negative individual experiences without clarifying the type of pelvic mesh used. Twelve (40%) included a photo of mesh in the article, six (50%) were accurate in depicting a transvaginal POP mesh implant. The other six (50%) depicted photographs of slings for stress urinary incontinence (SUI) or abdominal wall mesh. Google identified 26 unique articles for the four terms when searched on June 6, 2019. Seven (27%) did not mention the FDA announcement, 3 (12%) mentioned mesh for incontinence, and 11 (42%) discussed lawsuits or negative individual experiences. Seven articles included a mesh photo, and three (43%) were of the correct type of mesh. The other 4 photographs were of mesh slings for SUI for abdominal wall mesh. CONCLUSIONS: Internet search patterns and social media behavior following the April 2019 ban on transvaginal mesh for pelvic organ prolapse reveal that some of the most disseminated information did not accurately or thoroughly distinguish the type of mesh discussed. This emphasizes the importance of preoperative counseling and focused educational materials for patients who may be or think they are affected by the FDA ban. Source of Funding: None © 2020 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 203Issue Supplement 4April 2020Page: e44-e44 Advertisement Copyright & Permissions© 2020 by American Urological Association Education and Research, Inc.MetricsAuthor Information Poone Shoureshi* More articles by this author Wai Lee More articles by this author Kathleen Kobashi More articles by this author Kamran P. Sajadi More articles by this author Expand All Advertisement PDF downloadLoading ...

Information leaks before CEO change: financial gain and ethical cost

PurposeThe purpose of this paper is to investigate whether there are information leaks immediately before CEOs change and – if so – whether some investors take financial advantage of such prior knowledge. It thirdly investigates the ethical, practical and professional options for communication managers to deal with such situations.Design/methodology/approachWorking from sentiment theory of financial markets, the authors studied Internet search patterns for incoming CEO names and stock market movements immediately prior to the public mention or speculation of CEO change.FindingsThe authors find that in nearly a quarter of CEO changes at Fortune 500 companies, the name of the future CEO seems to have been leaked. Additionally, nearly half of those companies also experience extreme, otherwise unexplainable movements in the stock market.Originality/valueThis paper discovers the prevalence of extreme stock market movements for a company when the name of that company's next CEO has likely been leaked. Such leaks are an opportunity for unscrupulous investors, but they create ethical dilemmas for organizations. Communication managers typically respond by organizing tighter governance. However, to keep up with the speed of information and investments traveling through algorithms, organizing radical transparency could become an alternative instead.

Online Search Behavior for Cancer Immunotherapy Resources and Readability Analysis: An Opportunity to Aid in Medical Decision-making.

Cancer patients are faced with increasing options for cancer care, especially with the introduction of cancer immunotherapy with immune checkpoint inhibitors (ICIs). Though many patients turn to online resources to supplement their decision-making, it is unknown whether online resources in cancer immunotherapy with ICIs are written at an appropriate level of readability according to national medical organizations. We performed a cross-sectional analysis of internet search behavior for cancer immunotherapy by ICIs and clinical trial availability per ClinicalTrials.gov in the United States (US) from 2004 - 2018 with subsequent quantitation of readability by four readability formulas of top 50 online resources. Internet search behavior for “cancer immunotherapy” has steadily increased since 2013 and coincides with the year of the US Food and Drug Administration (FDA) approval for individual ICIs. Furthermore, internet search behavior was significantly correlated with clinical trial availability in the US (R = 0.97, p < 0.0001). None of the top 50 resources available to patients were found to be within the recommended level of sixth-grade readability or less with only one (2%) written at the middle school level, 21 (42%) at the high school level, 23 (46%) at the university level, and five (8%) at a graduate level. Population-level internet search patterns may reflect patient behavior in seeking relevant online health information and may be influenced by new options for cancer therapy, including via clinical trials. However, low readability of available online resources may impede patient comprehension and negatively affect medical decision-making.

Websites, Websites Everywhere: How Thyroid Cancer Patients Use the Internet.

Thyroid cancer incidence rates and Internet use are both increasing. Thyroid cancer is common in young patients, who are likely to use the Internet. This study aims to characterize thyroid cancer patient Internet use and search patterns, usability of online resources, and effects on clinical care. From May to December 2017, inclusive, patients with thyroid cancer attending two tertiary cancer centers were invited to complete a survey about Internet use. Thirty-nine of 72 questionnaires were returned (54%). Ninety-seven percent of participants used the Internet, and 87% had looked for thyroid cancer information. The majority (94%) searched on Google. Patients most often looked for information about treatment (94%) and symptom management (76%). Many patients evaluated content quality by comparing several resources (71%), discussing with a physician (56%) or using a credible academic or government site (53%). Online information was somewhat hard to understand for 32%, but 91% found it useful. Over half (60%) of treatment decisions were affected by web resources, and information helped 50% of patients make decisions with their physicians. Respondents highlighted a lack of resources on survivorship and uncommon tumors such as medullary or anaplastic cancer. Physicians should recognize that patients overwhelmingly access online information, which often impacts patients' decision-making. Clinicians can guide thyroid cancer patients through abundant web-based information and assist in interpreting this information. Educators can use this information to guide resource development, tailoring content and design to thyroid cancer patients' needs.