Internet-based information-seeking behavior for transient ischemic attack

Impact of a health campaign on Chinese public awareness of stroke: evidence from internet search data

INTRODUCTION

Health campaigns have the potential to improve public awareness, but their impact can be difficult to assess. Internet search data provide information concerning online health information-seeking behaviour in the population and may serve as a proxy for public awareness to evaluate health campaigns. This study aimed to measure the impact of World Stroke Day (WSD) in China using Baidu search data.

METHODS

Daily search index values (SIV) for the term 'stroke' were collected from January 2011 to December 2019 using the Baidu Index platform. We examined the mean difference in SIV between the 4 weeks surrounding WSD (period of interest) and the rest of the year (control period) for each year by t-test analysis. The mean difference between the period of interest and the control period was also calculated. The joinpoint regression model was used to analyse the trends of internet search activity 30 days before and after WSD for each year (2011-2019). Finally, the top and rising queries related to stroke during the week of the campaign in 2020 were summarised.

RESULTS

A significant mean increase in SIV of 418.5 (95% CI: 298.8 to 538.2) for the period of interest surrounding WSD was observed, 36.2% greater than the SIV during the control period (2011-2019). Short-term joinpoint analysis showed a significant increase in SIV 3 days before WSD, a peak on WSD and a decrease to the precampaign level 3 days after WSD. The rising related queries suggested that the public had increasing concerns about stroke warning signs, stroke prevention and stroke recovery during the campaign.

CONCLUSIONS

The WSD campaign increased internet search activity. These research techniques can be applied to evaluation of other health campaigns. Advancing understanding of public demand will enable tailoring of the campaign and strengthen health management.

Seasonal Variation and Global Public Interest in the Internet Searches for Osteoporosis

Background

To ascertain the seasonal pattern and global public interest in osteoporosis by evaluating search term popularity changes of the disease over a decade.

Methods

We applied Google Trends to retrieve search popularity scores for the term “osteoporosis” between January 01, 2004, and December 31, 2019. Cosinor analyses were conducted to examine the seasonality of osteoporosis, and analysis on osteoporosis-related topics including hot topics and rising-related topics was also performed.

Results

The cosinor analyses demonstrated a statistically significant seasonal variation in relative search volume of the “osteoporosis” in the world (p = 0.0083), USA (p < 0.001), UK (p < 0.001), Canada (p < 0.001), Ireland (p < 0.001), Australia (p < 0.001), and New Zealand (p < 0.001), with a peak in the late winter months and trough in the summer months. The peaks in late winter and valley in summer presented an approximately 6-month difference between hemispheres. The top 11 rising topics were denosumab, FRAX, hypocalcaemia, zoledronic acid, ibandronic acid, osteomyelitis, osteopenia, osteoarthritis, bone, calcium, and bone density.

Conclusions

Google search query volumes related to osteoporosis follow strong seasonal patterns with late winter peaks and summer troughs. Further studies aimed at elucidating the possible mechanisms behind seasonality in osteoporosis are needed. Moreover, Internet data including the top rising topics may alert physicians to strengthen the propaganda of osteoporosis timely, so as to further promote the development of public health interventions.

Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era

Since its introduction, the internet has played a major role in reshaping patient-physician communication and interactions, having fostered a shift from a paternalistic to a patient-centered model. Because of its dynamic nature, the internet has been used as a platform to not only disseminate knowledge—favored by improved access to an increasing wealth of available resources—but also to spread advocacy and awareness, contribute to fund-raising, and facilitate open, public self-disclosure of one’s own disease, thus eliminating any taboo and reducing the stigma associated with it. The era of Medicine 2.0 is characterized by openness, collaboration, participation, and social networking. The current situation is completely different from the time when Lorenzo Odone’s parents, after his diagnosis of adrenoleukodystrophy, decided to attend medical school in order to collect information about a devastating, unknown disease and had to contend with medical authorities at that establishment to convince them of the alleged effectiveness and safety of their discovered therapeutics. Orphan and rare neurological diseases have currently received recognition on web-based resources. However, while the intention is not to ridicule Odone’s family legacy and the “complicated lessons” they have reported, some issues should be carefully addressed by health authorities, such as the reputability, reliability, and accuracy of material available on the internet and prevention of the dissemination of material that could instill illusions and unjustified hopes in individuals seeking medical treatment. Neurologists should be aware of such digital resources, participate in web-based activities, and recommend select high-quality websites to their patients.

Ciclos de atenção a dietas da moda e tendências de busca na internet pelo Google trends

Resumo Este trabalho objetivou descrever e analisar conteúdos de notícias associadas a ciclos de buscas ao Google ligados a 8 tipos de dieta: a cetogênica; da lua; da proteína; da sopa; detox; dos pontos; paleo; e Dukan. Estas foram selecionadas por terem sido apontadas pelo Google Trends® (GT) como as mais frequentemente associadas ao termo dieta. Os conteúdos dos sites vinculados aos maiores picos de buscas foram apontados pelo Google News®. O volume de buscas às dietas foram estimados pelo GT com filtros de região (Brasil) e temática (Saúde) considerando o período de 01/01/2012 a 01/01/2017. Os acessos retratam ciclos efêmeros com centenas de picos e quedas de interesse pelas 8 dietas da moda. A ênfase se concentra nas orientações para rápida perda de peso em prol de um ideal de saúde tido como proxy de um ideal estético. A dimensão dos riscos associados às dietas mais restritivas é citada frequentemente e validada por informações de especialistas. Destaca-se a exposição e a influência da opinião de celebridades relatando suas experiências dietéticas. Ao contrário do ideal de variedade e equilíbrio, as dietas da moda retratam a pressão pelo autocontrole alimentar como recurso à construção de um corpo idealizado e tipificado por imagens das celebridades.

Rhythmicity of health information behaviour

Purpose

This paper brings focus and attention to the aspect of time within health information behaviour. The purpose of this paper is to critically assess and present strengths and weaknesses of utilising the infodemiology approach and metrics as a novel way to examine temporal variations and patterns of online health information behaviour. The approach is shortly exemplified by presenting empirical evidence for temporal patterns of health information behaviour on different time-scales.

Design/methodology/approach

A short review of online health information behaviour is presented and methodological barriers to studying the temporal nature of this behaviour are emphasised. To exemplify how the infodemiology approach and metrics can be utilised to examine temporal patterns, and to test the hypothesis of existing rhythmicity of health information behaviour, a brief analysis of longitudinal data from a large discussion forum is analysed.

Findings

Clear evidence of robust temporal patterns and variations of online health information behaviour are shown. The paper highlights that focussing on time and the question of when people engage in health information behaviour can have significant consequences.

Practical implications

Studying temporal patterns and trends for health information behaviour can help in creating optimal interventions and health promotion campaigns at optimal times. This can be highly beneficial for positive health outcomes.

Originality/value

A new methodological approach to study online health information behaviour from a temporal perspective, a phenomenon that has previously been neglected, is presented. Providing evidence for rhythmicity can complement existing epidemiological data for a more holistic picture of health and diseases, and their behavioural aspects.

Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data

BACKGROUND

Some of the temporal variations and clock-like rhythms that govern several different health-related behaviors can be traced in near real-time with the help of search engine data. This is especially useful when studying phenomena where little or no traditional data exist. One specific area where traditional data are incomplete is the study of diurnal mood variations, or daily changes in individuals' overall mood state in relation to depression-like symptoms.

OBJECTIVE

The objective of this exploratory study was to analyze diurnal variations for interest in depression on the Web to discover hourly patterns of depression interest and help seeking.

METHODS

Hourly query volume data for 6 depression-related queries in Finland were downloaded from Google Trends in March 2017. A continuous wavelet transform (CWT) was applied to the hourly data to focus on the diurnal variation. Longer term trends and noise were also eliminated from the data to extract the diurnal variation for each query term. An analysis of variance was conducted to determine the statistical differences between the distributions of each hour. Data were also trichotomized and analyzed in 3 time blocks to make comparisons between different time periods during the day.

RESULTS

Search volumes for all depression-related query terms showed a unimodal regular pattern during the 24 hours of the day. All queries feature clear peaks during the nighttime hours around 11 PM to 4 AM and troughs between 5 AM and 10 PM. In the means of the CWT-reconstructed data, the differences in nighttime and daytime interest are evident, with a difference of 37.3 percentage points (pp) for the term "Depression," 33.5 pp for "Masennustesti," 30.6 pp for "Masennus," 12.8 pp for "Depression test," 12.0 pp for "Masennus testi," and 11.8 pp for "Masennus oireet." The trichotomization showed peaks in the first time block (00.00 AM-7.59 AM) for all 6 terms. The search volumes then decreased significantly during the second time block (8.00 AM-3.59 PM) for the terms "Masennus oireet" (P<.001), "Masennus" (P=.001), "Depression" (P=.005), and "Depression test" (P=.004). Higher search volumes for the terms "Masennus" (P=.14), "Masennustesti" (P=.07), and "Depression test" (P=.10) were present between the second and third time blocks.

CONCLUSIONS

Help seeking for depression has clear diurnal patterns, with significant rise in depression-related query volumes toward the evening and night. Thus, search engine query data support the notion of the evening-worse pattern in diurnal mood variation. Information on the timely nature of depression-related interest on an hourly level could improve the chances for early intervention, which is beneficial for positive health outcomes.

Global Search Trends of Oral Problems using Google Trends from 2004 to 2016: An Exploratory Analysis

Introduction

Oral diseases are pandemic cause of morbidity with widespread geographic distribution. This technology based era has brought about easy knowledge transfer than traditional dependency on information obtained from family doctors. Hence, harvesting this system of trends can aid in oral disease quantification.

Aim

To conduct an exploratory analysis of the changes in internet search volumes of oral diseases by using Google Trends^© (GT^©).

Materials and Methods

GT^© were utilized to provide real world facts based on search terms related to categories, interest by region and interest over time. Time period chosen was from January 2004 to December 2016. Five different search terms were explored and compared based on the highest relative search volumes along with comma separated value files to obtain an insight into highest search traffic.

Results

The search volume measured over the time span noted the term "Dental caries" to be the most searched in Japan, "Gingivitis" in Jordan, "Oral Cancer" in Taiwan, "No Teeth" in Australia, "HIV symptoms" in Zimbabwe, "Broken Teeth" in United Kingdom, "Cleft palate" in Philippines, "Toothache" in Indonesia and the comparison of top five searched terms provided the "Gingivitis" with highest search volume.

Conclusion

The results from the present study offers an insight into a competent tool that can analyse and compare oral diseases over time. The trend research platform can be used on emerging diseases and their drift in geographic population with great acumen. This tool can be utilized in forecasting, modulating marketing strategies and planning disability limitation techniques.

Idarucizumab in Dabigatran-Treated Patients with Acute Ischemic Stroke Receiving Alteplase: A Systematic Review of the Available Evidence

BACKGROUND AND PURPOSE

Current guidelines do not recommend the use of intravenous recombinant tissue plasminogen activator in patients with acute ischemic stroke who receive direct oral anticoagulants. While the humanized monoclonal antibody idarucizumab can quickly reverse the anticoagulant effects of the thrombin inhibitor dabigatran, safety data for subsequent tissue plasminogen activator treatment are sparse. Here, we review current knowledge about dabigatran reversal prior to systemic reperfusion treatment in acute ischemic stroke.

METHODS

We performed a systematic review of all published cases of intravenous tissue plasminogen activator treatment following the administration of a dabigatran antidote up to June 2017 and added five unpublished cases of our own. We analyzed clinical and radiological outcomes, symptomatic post-thrombolysis intracranial hemorrhage, and other serious systemic bleeding. Additional endpoints were allergic reaction to idarucizumab, and venous thrombosis in the post-acute phase.

RESULTS

We identified a total of 21 patients (71% male) with a median age of 76 years (interquartile range 70-84). The median National Institute of Health Stroke Scale score at baseline was 10 (n = 20, interquartile range 5-11) and 18/20 patients (90%) had mild or moderate stroke severity. The time from symptom onset to start of tissue plasminogen activator was 155 min (n = 18, interquartile range 122-214). The outcome was unfavorable in 3/19 patients (16%). There was one fatality as a result of a symptomatic post-thrombolysis intracranial hemorrhage, and two patients experienced an increase in the National Institute of Health Stroke Scale compared with baseline. One patient had a recurrent stroke. No systemic bleeding, venous thrombosis, or allergic reactions were reported.

CONCLUSION

Experience with idarucizumab administration prior to tissue plasminogen activator treatment in acute ischemic stroke is limited. Initial clinical experience in less severe stroke syndromes and short time windows seems favorable. Larger cohorts are required to confirm safety, including bleeding complications and the risk of thrombosis.

Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study

Background

Infodemiology can offer practical and feasible health research applications through the practice of studying information available on the Web. Google Trends provides publicly accessible information regarding search behaviors in a population, which may be studied and used for health campaign evaluation and disease monitoring. Additional studies examining the use and effectiveness of Google Trends for these purposes remain warranted.

Objective

The objective of our study was to explore the use of infodemiology in the context of health campaign evaluation and chronic disease monitoring. It was hypothesized that following a launch of a campaign, there would be an increase in information seeking behavior on the Web. Second, increasing and decreasing disease patterns in a population would be associated with search activity patterns. This study examined 4 different diseases: human immunodeficiency virus (HIV) infection, stroke, colorectal cancer, and marijuana use.

Methods

Using Google Trends, relative search volume data were collected throughout the period of February 2004 to January 2015. Campaign information and disease statistics were obtained from governmental publications. Search activity trends were graphed and assessed with disease trends and the campaign interval. Pearson product correlation statistics and joinpoint methodology analyses were used to determine significance.

Results

Disease patterns and online activity across all 4 diseases were significantly correlated: HIV infection (r=.36, P<.001), stroke (r=.40, P<.001), colorectal cancer (r= −.41, P<.001), and substance use (r=.64, P<.001). Visual inspection and the joinpoint analysis showed significant correlations for the campaigns on colorectal cancer and marijuana use in stimulating search activity. No significant correlations were observed for the campaigns on stroke and HIV regarding search activity.

Conclusions

The use of infoveillance shows promise as an alternative and inexpensive solution to disease surveillance and health campaign evaluation. Further research is needed to understand Google Trends as a valid and reliable tool for health research.