The Association Between Health Information Seeking on the Internet and Physician Visits (The Seventh Tromsø Study - Part 4): Population-Based Questionnaire Study

"It was a reflection of myself, that i was weak": The impact of depression on the sense of self - An interpretive phenomenological analysis

The World Health Organisation states that more than 350 million people experience depression globally. The phenomenological changes in individuals experiencing depression are profound Phenomenological research can further researchers' and clinicians' understanding of this experience. This study aimed to gain a phenomenological understanding of how individuals with depression understood and made sense of their experiences. A methodology of interpretative phenomenological analysis was adopted. In-depth semi-structured interviews explored the lived experience of depression for eight individuals. Data were analysed into the superordinate theme Broken Self - Transforming the Self. The superordinate theme developed from the subordinate themes of 'unknown self, loss of self and one's identity', 'desperate for a way out', and thirdly, 'conflict with self and what's known', which related directly to how individuals made sense of their experience of depression. These research findings highlight the human implications of the experience of depression and the limitations of viewing depression from a biological or medical model lens. Understanding the human impact is essential for the effective, holistic practice of mental health nursing.

Information quality of videos related to Helicobacter pylori infection on TikTok: Cross-sectional study

BACKGROUND

Helicobacter pylori (H. pylori) poses serious threats to human health. TikTok (Douyin in Chinese), a major social media platform focused on sharing short videos, has demonstrated great potential in spreading health information, including information related to H. pylori infection. This study aims to evaluate the content and quality of the information shared in TikTok videos about H. pylori infection in mainland China.

METHODS

We collected a sample of 116 videos in Chinese related to H. pylori infection from TikTok. Video contents were evaluated by the coding schema proposed by Goobie et al., and the Hexagonal Radar Schema was used to intuitively display the spotlight and weight of each aspect of the videos. The DISCERN questionnaire was used to evaluate the quality of the videos.

RESULTS

We identified two major sources of videos related to H. pylori: individual users (n = 89) and organizational users (n = 27). Regarding content, the Hexagonal Radar Charts showed that more than 35% of the videos delivered moderate to high quality content (>1 point) in terms of definition, symptoms and management of the disease, whereas risk factors, evaluation and outcomes of the disease were less discussed. The DISCERN classification data showed that 0.9% of the videos were "very poor," 5.2% "poor," 68.7% "fair," 20.0% "good," and only 5.2% "excellent". Regarding total DISCERN scores, videos published by nonprofit organizations had the highest scores, followed by videos uploaded by health professionals.

CONCLUSION

Although the overall quality of TikTok videos related to H. pylori infection was medium, users should be careful when obtaining information related to H. pylori infection on TikTok and opt for videos uploaded by nonprofit organizations and health professionals.

Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study

BACKGROUND

Reproductive health conditions such as endometriosis, uterine fibroids, and polycystic ovary syndrome (PCOS) affect a large proportion of women and people who menstruate worldwide. Prevalence estimates for these conditions range from 5% to 40% of women of reproductive age. Long diagnostic delays, up to 12 years, are common and contribute to health complications and increased health care costs. Symptom checker apps provide users with information and tools to better understand their symptoms and thus have the potential to reduce the time to diagnosis for reproductive health conditions.

OBJECTIVE

This study aimed to evaluate the agreement between clinicians and 3 symptom checkers (developed by Flo Health UK Limited) in assessing symptoms of endometriosis, uterine fibroids, and PCOS using vignettes. We also aimed to present a robust example of vignette case creation, review, and classification in the context of predeployment testing and validation of digital health symptom checker tools.

METHODS

Independent general practitioners were recruited to create clinical case vignettes of simulated users for the purpose of testing each condition symptom checker; vignettes created for each condition contained a mixture of condition-positive and condition-negative outcomes. A second panel of general practitioners then reviewed, approved, and modified (if necessary) each vignette. A third group of general practitioners reviewed each vignette case and designated a final classification. Vignettes were then entered into the symptom checkers by a fourth, different group of general practitioners. The outcomes of each symptom checker were then compared with the final classification of each vignette to produce accuracy metrics including percent agreement, sensitivity, specificity, positive predictive value, and negative predictive value.

RESULTS

A total of 24 cases were created per condition. Overall, exact matches between the vignette general practitioner classification and the symptom checker outcome were 83% (n=20) for endometriosis, 83% (n=20) for uterine fibroids, and 88% (n=21) for PCOS. For each symptom checker, sensitivity was reported as 81.8% for endometriosis, 84.6% for uterine fibroids, and 100% for PCOS; specificity was reported as 84.6% for endometriosis, 81.8% for uterine fibroids, and 75% for PCOS; positive predictive value was reported as 81.8% for endometriosis, 84.6% for uterine fibroids, 80% for PCOS; and negative predictive value was reported as 84.6% for endometriosis, 81.8% for uterine fibroids, and 100% for PCOS.

CONCLUSIONS

The single-condition symptom checkers have high levels of agreement with general practitioner classification for endometriosis, uterine fibroids, and PCOS. Given long delays in diagnosis for many reproductive health conditions, which lead to increased medical costs and potential health complications for individuals and health care providers, innovative health apps and symptom checkers hold the potential to improve care pathways.

Assessment of videos related to lung nodules in China

Background

With the popularization of mobile phones and the development of the Internet, many patients use social media platforms to seek health information. Currently, TikTok, iQiyi, Bilibili, and Weibo are the most popular video platforms in China. Therefore, based on the above facts, this study estimated the quality of lung nodule videos taken in China using these platforms.

Methods

The term “lung nodule” was searched on these platforms. Then, the first 30 videos were selected. Subsequently, some videos were excluded after they had been reviewed and analyzed, after which information on the features and sources of these videos was finally assessed using DISCERN, the Journal of the American Medical Association (JAMA) Benchmark Criteria, and the Hexagonal Radar Schema. Analysis was performed according to different groups.

Results

101 videos were included in this study. According to the different sources, although most videos were from physicians (71.3%), comprising those with shorter durations; faster updates; and more likes, comments, and shares; no significant difference in the scores were obtained. Moreover, regarding the different platforms, while Weibo had the highest update, TikTok had more likes, comments, and shares. Investigations also revealed that while score differences were recorded, most videos were rated “very poor” and “poor.” Besides, hexagonal radar charts showed a severe deficiency of video information.

Conclusions

Although the quality of most videos on the understudied social media platforms was poor, these platforms have huge potential. Therefore, caution should be exercised when using the platforms as information sources about lung nodules, and a better review and push system is needed.

Medical information seeking behavior of urban patients in Zhejiang Province, China: a cross-sectional study

Background

Health information seeking behavior (HISB) is a prevalent research topic. However, little is known about sociodemographic factors of HISB in China. This study aimed to examine the HISB of urban patients in China and identify predictors of source preference, online information seeking, and the timing of online seeking.

Methods

Based on the Health Information National Trends Survey (HINTS), this study conducted a cross-sectional survey of 1653 participants in different types of hospitals in 3 cities of different income levels within Zhejiang Province, China. Binary logistic regression analysis and multinomial logistic regression analysis were used to identify predictors of source preference, online medical information seeking, and the timing of online seeking for urban patients.

Results

The offline was the primary source of medical information for 58.61% of adult urban patients, while 78.19% had ever sought medical information online. 36.81% of online medical information seekers sought information before the medical visit, 8.65% sought information after the visit, and 54.54% sought information before and after the visit. China’s urban patients with higher education levels, higher income levels, young, active in internet use, and living in high-income cities were more likely to be active online medical information seekers (using the internet as the primary source) and online medical information seekers (having ever sought medical information online). Except for gender and age, most sociodemographic characteristics were not significantly associated with the timing of online medical information seeking.

Conclusions

Significant predictors of active online medical information seekers and online medical information seekers in China were almost the same. Regional economic development had a significant direct impact on medical information seekers. Most sociodemographic characteristics were not significantly associated with the timing of online medical information seeking. The findings of this study imply that China’s health information technology industry has Chinese characteristics.

COVID-19 vaccine hesitancy and patient self-advocacy: a statistical analysis of those who can and can't get vaccinated

Background

This study applies the Patient Self-Advocacy scale to investigate vaccine hesitancy in New Zealand. Due to New Zealand’s very limited tertiary hospital system and vulnerable populations, the Government’s strategy to address COVID-19 has been to prevent the virus from entering the nation and to eliminate it when it does cross the border. Therefore, there is no opportunity for the nation to generate any acquired immunity through exposure. To transition from closed borders, New Zealand will need to run a highly successful national vaccination programme and this needs to have the ability to drive influential public health messaging to the targeted places within the communities where vaccine hesitancy most exists.

Methods

This study employed statistical methods. A nationally representative survey of adults in New Zealand (n = 1852) was collected via Qualtrics. Independent samples t-tests, and multiple regression were used to explore the research questions.

Results

Those who identify as medically able to be vaccinated expressed significantly higher confidence in the COVID-19 vaccine than those who identified as unable to be vaccinated. Patient-self advocacy had a positive effect on vaccine confidence. Individuals who identify as able to be vaccinated have less hesitancy. Demographics had various effects on vaccine hesitancy.

Conclusion

The research highlights particularly important insights into vaccine hesitancy related to patient self-advocacy behaviours, and various demographic variables such as political affiliation. In addition, the research adds further clarity on how and why New Zealanders have responded to the COVID-vaccine. Finally, the importance of vaccine literacy is discussed.

Quality of Internet Videos Related to Pediatric Urology in Mainland China: A Cross-Sectional Study

Background

Pediatric urological diseases pose serious threats to children's physical and mental health. The COVID-19 pandemic has resulted in poor pediatric outcomes for cryptorchidism, hypospadias, and testicular torsion. Presently, many people tend to seek health information via social media platforms. This study aims to quantitatively assess the quality of videos as an information source for pediatric urology in mainland China.

Methods

In this cross-sectional study, a search was performed on social media platforms (Tiktok, Bilibili, and Weibo) with the search terms “cryptorchidism”, “hypospadias”, and “testicular torsion”. The first 30 results with any search term listed by relevance were selected in each platform. Video features (duration, number of likes, comments, and shares) and video sources were collected. Each video included in the study was assessed using DISCERN, Journal of the American Medical Association (JAMA) Benchmark Criteria, and Hexagonal Radar Schema. A correlation analysis was performed considering video features, video source, DISCERN scores and JAMA scores.

Results

A total of 152 videos were included and analyzed. The majority of videos were from physicians (65.8%). According to the DISCERN classification, most videos were rated as “very poor” (48.0%) and “poor” (36.8%). The mean DISCERN and JAMA scores were 36.56 and 2.68, respectively. The duration of videos uploaded by physicians was the shortest (P < 0.001). The video source had no relevance to numbers of “likes”, “comments”, “shares”, DISCERN scores, and JAMA scores (all P-values > 0.05). Other than video duration (P < 0.001), there was no statistically significant difference between groups for any of the recorded or calculated video data (all P values > 0.05). Hexagonal Radar Charts showed the severe imbalance and deficiency of video information. In general, Tiktok videos with the shortest duration received the most numbers of “likes”, “comments”, and “shares”, whereas the overall quality of videos on Weibo was relatively high.

Conclusions

Despite most of the videos on social media platforms being uploaded by medical authors, the overall quality was poor. The misleading, inaccurate and incomplete information may pose a health risk to the viewers, especially during the COVID-19 pandemic. Much effort needs to be undertaken to improve the quality of health-related videos regarding pediatric urology.

Quality Assessment of YouTube Videos as an Information Source for Testicular Torsion

Background

Testicular torsion is an acute scrotal disease requiring urgent management, and the COVID-19 pandemic has been demonstrated to lead to poor outcomes for this disease. Presently, many people tend to seek health information via YouTube. This study aims to quantitatively assess the quality of English YouTube video content as an information source of testicular torsion.

Methods

In this cross-sectional study, a search was performed with the search term "testicular torsion" on YouTube, and the first 100 videos listed by relevance were selected for our analysis. Duplicate, non-English, videos without audio and surgical videos were excluded. Video features (duration, number of days online, views, likes, comments), source of the video, and author's country were collected. Each video included in the study was assessed using DISCERN and Journal of the American Medical Association (JAMA) Benchmark Criteria. A correlation analysis was performed considering video features, video source, DISCERN scores and JAMA scores.

Results

A total of 66 videos were included and analyzed. The most common video content was general information, including etiology, symptoms, and treatment. The majority of videos were from education and training websites (30%), physicians (23%), and independent users (21%). The mean DISCERN and JAMA scores were 36.56 and 2.68, respectively. According to DISCERN, the quality of video uploaded by physicians was relatively high (P < 0.001), and the quality of video uploaded by independent users was relatively low (P < 0.001). The JAMA score had no relevance to the video source (P = 0.813). The correlation between the video features, DISCERN and JAMA scores was controversial by different assessment methods.

Conclusions

Despite most of the videos on YouTube being uploaded by medical or education-related authors, the overall quality was poor. The misleading, inaccurate and incomplete information may pose a health risk to the viewers, especially during the COVID-19 pandemic. Much effort needs to be undertaken to improve the quality of health-related videos regarding testicular torsion.

Determinants of Access to Health Information on the Internet by Indonesian Women (2017 IDHS Analysis)

Background: Women use the Internet more often to access health information than men. Objective: This study aims to analyze the socio-demographic effect on women's access to health information via the Internet in Indonesia. Methods: This study uses data from the 2017 Indonesian Demographic and Health Survey (IDHS). The sample include 19,389 women aged 15-54 years. The independent variables include age, education, working status, ownership index, type and area of residence. The dependent variable is the use of the internet to access health information. Data analysis with Chi-Square and binary logistics using the Stata application version 15.1. Results: Education level, age, wealth index, working status, type and area of residence were found to influence the behavior of Indonesian women in searching for health information through the Internet. Health information is sought more frequently by women who are younger, highly educated than older people and by those who have higher levels of wealth and status as working women. In addition, the search for health information is more often carried out in urban areas than in rural areas, and more in western Indonesia than in eastern Indonesia. Conclusion: Access to health information by Indonesian women on the Internet is influenced by various socio-demographic factors, taking into account sociodemographic characteristics and differences, all women should have equal access to reliable health information

Exploring the Online Health Information-Seeking Behavior in a Sample of Italian Women: The "SEI Donna" Study

There is much discussion about the skills of people in understanding and managing online health information. The Italian survey “SEI Donna” aimed to investigate perceptions and use of the web in women regarding health issues considering their health literacy (HL) and healthcare skills. We used an online questionnaire to explore different aspects of online health-related information-seeking behavior. The study participants (n = 7027) were categorized into healthcare workers (HW), healthcare students (HS), and non-healthcare women (non-HW). Half the sample (52%) searched online for a second opinion after the medical examination without statistical difference among HW, HS, and non-HW. Women in the age range of 26−40 years (OR = 1.28, p < 0.001), having chronic illness (OR = 1.48; p < 0.001), and being moderately (OR = 1.58; p < 0.001) or not satisfied (OR = 2.04; p < 0.001) with healthcare professionals were more likely to use the Internet to seek medical insight. Overall, 34% of women had a functional HL, the same being higher in HW (64%) and in HS (43%) than the rest of the women (18%) (p < 0.0001). The suboptimal HL suggests the need to improve HL in the general population to be skilled in surfing the web and, at the same time, to reorganize health training to improve the HL of healthcare professionals, also enriching their communication skills.

The Impact of Misinformation and Health Literacy on HIV Prevention and Service Usage

There are an increasing number of online resources people can use to gain access to information, including for health-related issues, such as for HIV prevention. Trend data show that the way individuals obtain news and information has changed from years past. Health literacy, therefore, is an important skill to ensure adequate understanding of the data available about HIV in the media and online. Unfortunately, the proliferation of misinformation is ubiquitous and may have deleterious effects on individual health behavior, and consequently, the public’s health. This commentary focuses on sources of online misinformation as it relates to HIV and how misinformation impacts seeking health services.

Measuring online health-seeking behaviour: Construction and initial validation of a new scale

OBJECTIVES

Online health-seeking behaviour (OHSB) such as information- and support-seeking encompasses a range of motivations and outcomes, but few studies consider the nuances of OHSB. The current study aimed to (1) develop and provide an initial validation of an OHSB measure, and (2) explore the role of demographic variables in OHSB among adult Internet users.

DESIGN

The study was a quantitative, cross-sectional online survey.

METHODS

The study consistent of two data collection waves, including 451 general Internet users (aged 18-73) and 204 online health groups users (aged 19-78) who completed online questionnaires.

RESULT

Exploratory Factor Analysis and Item Analysis in the two samples resulted in a final 37-item measure. The scale comprises three distinct factors: Support seeking (α = .97); information seeking (α = .89); and the Internet as a supplement or alternative to offline medical care (α = .88). Multiple regression analyses indicated that younger age, a higher number of people living in the household, and presence of a chronic condition significantly predicted all three aspects of OHSB. Poorer perceived health also predicted support-seeking online, while being male, employed and a general Internet user (vs. online health group member) also predicted using the Internet as a supplement or alternative to offline medical care.

CONCLUSION

The study presents a useful scale for future research to explore more complex psychosocial, contextual and health-related variables as potential contributors to health-seeking in the online domain.

Mental Health Information Seeking Online: A Google Trends Analysis of ADHD

Health information influences consumer decision making to seek, select, and utilize services. Online searching for mental health information is increasingly common, especially by adolescents and parents. We examined historical trends and factors that may influence population-level patterns in information seeking for attention-deficit/hyperactivity disorder (ADHD). We extracted Google Trends data from January 2004 to February 2020. Keywords included "ADHD," "ADHD treatment," "ADHD medication," and "ADHD therapy." We examined trends (systematic change over time) and seasonality (repeating pattern of change) via time-series analyses and graphics. We also used interrupted time-series analyses to examine the impact of celebrity and pharmaceutical events. Queries of "ADHD medication" increase, while queries for "ADHD therapy" remain relatively low despite a positive linear trend. Searches for "ADHD treatment" displayed a downward trend in more recent years. Analyses on seasonality revealed that holiday breaks coincided with a decrease in search interest, while post-break periods illustrated a rise, and the ADHD Awareness Month (October) coincided with a rise of public interest in all four search terms. Celebrity effects were more prominent in earlier years; the "Own It" pharmaceutical campaign may have increased ADHD awareness and the specificity of searches for "ADHD medication." The anonymous, accessible, and low-cost nature of seeking information online makes search engines like Google important sources of mental health information. Changing search patterns in response to seasonal, advocacy, and media events highlight internet-based opportunities for raising awareness and disseminating empirically supported information.

Psychiatry in the Digital Age: A Blessing or a Curse?

Social distancing and the shortage of healthcare professionals during the COVID-19 pandemic, the impact of population aging on the healthcare system, as well as the rapid pace of digital innovation are catalyzing the development and implementation of new technologies and digital services in psychiatry. Is this transformation a blessing or a curse for psychiatry? To answer this question, we conducted a literature review covering a broad range of new technologies and eHealth services, including telepsychiatry; computer-, internet-, and app-based cognitive behavioral therapy; virtual reality; digital applied games; a digital medicine system; omics; neuroimaging; machine learning; precision psychiatry; clinical decision support; electronic health records; physician charting; digital language translators; and online mental health resources for patients. We found that eHealth services provide effective, scalable, and cost-efficient options for the treatment of people with limited or no access to mental health care. This review highlights innovative technologies spearheading the way to more effective and safer treatments. We identified artificially intelligent tools that relieve physicians from routine tasks, allowing them to focus on collaborative doctor-patient relationships. The transformation of traditional clinics into digital ones is outlined, and the challenges associated with the successful deployment of digitalization in psychiatry are highlighted.

Using Machine Learning to Predict Young People's Internet Health and Social Service Information Seeking

Machine learning creates new opportunities to design digital health interventions for youth at risk for acquiring HIV (YARH), capitalizing on YARH's health information seeking on the internet. To date, researchers have focused on descriptive analyses that associate individual factors with health-seeking behaviors, without estimating of the strength of these predictive models. We developed predictive models by applying machine learning methods (i.e., elastic net and lasso regression models) to YARH's self-reports of internet use. The YARH were aged 14-24 years old (N = 1287) from Los Angeles and New Orleans. Models were fit to three binary indicators of YARH's lifetime internet searches for general health, sexual and reproductive health (SRH), and social service information. YARH responses regarding internet health information seeking were fed into machine learning models with potential predictor variables based on findings from previous research, including sociodemographic characteristics, sexual and gender minority identity, healthcare access and engagement, sexual behavior, substance use, and mental health. About half of the YARH reported seeking general health and SRH information and 26% sought social service information. Areas under the ROC curve (≥ .75) indicated strong predictive models and results were consistent with the existing literature. For example, higher education and sexual minority identification was associated with seeking general health, SRH, and social service information. New findings also emerged. Cisgender identity versus transgender and non-binary identities was associated with lower odds of general health, SRH, and social service information seeking. Experiencing intimate partner violence was associated with higher odds of seeking general health, SRH, and social service information. Findings demonstrate the ability to develop predictive models to inform targeted health information dissemination strategies but underscore the need to better understand health disparities that can be operationalized as predictors in machine learning algorithms.

The Value of Web-Based Patient Education Materials on Transarterial Chemoembolization: Systematic Review

Background

Thousands of web searches are performed related to transarterial chemoembolization (TACE), given its palliative role in the treatment of liver cancer.

Objective

This study aims to assess the reliability, quality, completeness, readability, understandability, and actionability of websites that provide information on TACE for patients.

Methods

The five most popular keywords pertaining to TACE were searched on Google, Yahoo, and Bing. General website characteristics and the presence of Health On the Net Foundation code certification were documented. Website assessment was performed using the following scores: DISCERN, Journal of the American Medical Association, Flesch-Kincaid Grade Level, Flesch Reading Ease Score, and the Patient Education Materials Assessment Tool. A novel TACE content score was generated to evaluate website completeness.

Results

The search yielded 3750 websites. In total, 81 website entities belonging to 78 website domains met the inclusion criteria. A medical disclaimer was not provided on 28% (22/78) of website domains. Health On the Net code certification was present on 12% (9/78) of website domains. Authorship was absent on 88% (71/81) of websites, and sources were absent on 83% (67/81) of websites. The date of publication or of the last update was not listed on 58% (47/81) of websites. The median DISCERN score was 47.0 (IQR 40.5-54.0). The median TACE content score was 35 (IQR 27-43). The median readability grade level was in the 11th grade. Overall, 61% (49/81) and 16% (13/81) of websites were deemed understandable and actionable, respectively. Not-for-profit websites fared significantly better on the Journal of the American Medical Association, DISCERN, and TACE content scores.

Conclusions

The content referring to TACE that is currently available on the web is unreliable, incomplete, difficult to read, understandable but not actionable, and characterized by low overall quality. Websites need to revise their content to optimally educate consumers and support shared decision-making.

Trial Registration

PROSPERO International Prospective Register of Systematic Reviews CRD42020202747; https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42020202747

Internet health information education for older adults: A pilot study

This study aimed to develop internet health information education program, and to explore the program's feasibility and preliminary effects. We made use of an intervention mapping approach and adopted as conceptual framework the information-motivation-behavioral skills model to develop the program. We evaluated the feasibility and the impact of the education program using a single-group pretest-posttest design using generalized equation estimation. Eleven older adults participated in the classes from January 25 to February 22, 2019. Each outcome of the behavioral theory-based components of the program-computer/Web knowledge (p < .001), attitude toward internet-based health information (p = .002), eHealth literacy score (p < .001), searching performance scores (p < .001), and level of understanding of internet-based health information (p = .002)-showed significant improvement immediately after the intervention. This pilot study reveals that a behavior theory-based education program for utilizing internet-based health information is an effective way to increase older adults' eHealth literacy.

Searching for online health information instead of seeing a physician: a cross-sectional study among high school students in Belgrade, Serbia

OBJECTIVES

Fear of being judged and stigmatized has been reported as barriers for adolescents to timely use healthcare services. The objective of this study was to examine the prevalence and factors associated with online health information seeking instead of seeing a physician among high school students.

METHODS

A cross-sectional questionnaire-based study was carried out in four out of 21 public high schools in Belgrade, from December 2016 to January 2017 (n = 702, 41.9% males, 15-19 years old). The association of socio-demographic characteristics, digital literacy, interest in health topics and the use of online platforms with health information seeking was analysed using multinomial regression models.

RESULTS

More than half of high school students (56.6%) search for online health information instead of seeking a physician. Being male, having lower-grade point average, attending humanities-languages program, older age at first Internet use, better e-health literacy, use of smartphones, interest in sexually transmitted diseases and mental health, use of websites run by physicians and Youtube was associated with online health information seeking instead of in-person visit to a physician.

CONCLUSIONS

Setting up safe and supportive online platform could help adolescents improve health education. Physicians who see adolescent patients should encourage discussions about sensitive health topics.

Public interest in Raynaud's phenomenon: A Google Trends analysis

Raynaud's phenomenon is a common disorder affecting body extremities and other vascular beds. As infodemiological methods have developed, online search tools could be used to explore the public interest of the disease. The study aimed to determine the annual trend, seasonal pattern, and associated topics of Raynaud's phenomenon. Google Trends was used to collect the data. "Raynaud syndrome" was selected as the search term. Data on monthly relative search volume (RSV) were collected from four selected countries (United States, United Kingdom, Australia, and New Zealand) and globally. Related topics were obtained, and annual-related topics were also collected for analysis. The maximum RSV appeared in January 2019, and the minimum value was observed in August 2011. The peak for RSV occurred in winter, and the bottom appeared in summer. In top related topics, "Maurice Raynaud" was the most related. In rising related topics, disease manifestations and autoimmune connective diseases were highly concerned. For annual-related topics, associated diseases were attracting more attention over time. The population is interested in related diseases, pathogenesis, and treatment. There was a peak in winter for searching and supported the importance of season variation on the impact of Raynaud's phenomenon.

COVID-19 Related Misinformation on Social Media: A Qualitative Study from Iran

BACKGROUND

Background: During outbreaks of diseases a great amount of health threatening misinformation is produced and released. In the web-2 era much of this misinformation is disseminated via social media where information could spread easily and quickly. Monitoring social media content provides crucial insights for health managers to manage the crisis.

OBJECTIVE

Objective: Given the misinformation surrounding COVID-19 outbreak, this study was aimed to analyze contents of the most commonly used social networks in Iran that is among the affected countries.

METHODS

Methods: A social media monitoring conducted through a qualitative design to analyze the discussions of social media users about the content related to COVID-19 transferred via Iranian medical faculty members` groups in Telegram and Whats App during Feb 20 to March 20, 2020 emphasizing the misinformation. Discourse analysis was applied and the written dialogues and discussions regarding misinformation about different aspects of the outbreak between medical faculty members all over the country were analyzed.

RESULTS

Results: Cultural factors, demand pressure for information during the crisis, the easiness of information dissemination via social networks, marketing incentives and the poor legal supervision of online contents are the main reasons of misinformation dissemination. Disease statistics; treatments, vaccines and medicines; prevention and protection methods; dietary recommendations and disease transmission ways are the main subjective categories of releasing misinformation regarding novel coronavirus outbreak. Consequences of misinformation dissemination regarding disease include psychosocial; economic; health status; health system and ethical ones. Active and effective presence of health professionals and authorities on social media during the crisis and the improvement of public health literacy in the long term are the most recommended strategies for dealing with issues related to misinformation.

CONCLUSIONS

Conclusion: This study contributes the management of COVID-19 outbreak trough providing applicable insights for health managers to manage public information in this challenging time.

CLINICALTRIAL

Electronic Health Use in a Representative Sample of 18,497 Respondents in Norway (The Seventh Tromsø Study - Part 1): Population-Based Questionnaire Study

Background

Electronic health (eHealth) services may help people obtain information and manage their health, and they are gaining attention as technology improves, and as traditional health services are placed under increasing strain. We present findings from the first representative, large-scale, population-based study of eHealth use in Norway.

Objective

The objectives of this study were to examine the use of eHealth in a population above 40 years of age, the predictors of eHealth use, and the predictors of taking action following the use of these eHealth services.

Methods

Data were collected through a questionnaire given to participants in the seventh survey of the Tromsø Study (Tromsø 7). The study involved a representative sample of the Norwegian population aged above 40 years old. A subset of the more extensive questionnaire was explicitly related to eHealth use. Data were analyzed using logistic regression analyses.

Results

Approximately half (52.7%; 9752/18,497) of the respondents had used some form of eHealth services during the last year. About 58% (5624/9698) of the participants who had responded to a question about taking some type of action based on information gained from using eHealth services had done so. The variables of being a woman (OR 1.58; 95% CI 1.47-1.68), of younger age (40-49 year age group: OR 4.28, 95% CI 3.63-5.04), with a higher education (tertiary/long: OR 3.77, 95% CI 3.40-4.19), and a higher income (>1 million kr [US $100,000]: OR 2.19, 95% CI 1.77-2.70) all positively predicted the use of eHealth services. Not living with a spouse (OR 1.14, 95% CI 1.04-1.25), having seen a general practitioner (GP) in the last year (OR 1.66, 95% CI 1.53-1.80), and having had some disease (such as heart disease, cancer, asthma, etc; OR 1.29, 95% CI 1.18-1.41) also positively predicted eHealth use. Self-rated health status did not significantly influence eHealth use. Taking some action following eHealth use was predicted with the variables of being a woman (OR 1.16, 95% CI 1.07-1.27), being younger (40-49 year age group: OR 1.72, 95% CI 1.34-2.22), having a higher education (tertiary/long: OR 1.65, 95% CI 1.42-1.92), having seen a GP in the last year (OR 1.58, 95% CI 1.41-1.77), and having ever had a disease (such as heart disease, cancer or asthma; OR 1.26, 95% CI 1.14-1.39).

Conclusions

eHealth appears to be an essential supplement to traditional health services for those aged above 40 years old, and especially so for the more resourceful. Being a woman, being younger, having higher education, having had a disease, and having seen a GP in the last year all positively predicted using the internet to get health information and taking some action based on this information.

Impact of Illness on Electronic Health Use (The Seventh Tromsø Study - Part 2): Population-Based Questionnaire Study

Background

Patients who suffer from different diseases may use different electronic health (eHealth) resources. Thus, those who plan eHealth interventions should take into account which eHealth resources are used most frequently by patients that suffer from different diseases.

Objective

The aim of this study was to understand the associations between different groups of chronic diseases and the use of different eHealth resources.

Methods

Data from the seventh survey of the Tromsø Study (Tromsø 7) were analyzed to determine how different diseases influence the use of different eHealth resources. Specifically, the eHealth resources considered were use of apps, search engines, video services, and social media. The analysis contained data from 21,083 participants in the age group older than 40 years. A total of 15,585 (15,585/21,083; 73.92%) participants reported to have suffered some disease, 10,604 (10,604/21,083; 50.29%) participants reported to have used some kind of eHealth resource in the last year, and 7854 (7854/21,083; 37.25%) participants reported to have used some kind of eHealth resource in the last year and suffered (or had suffered) from some kind of specified disease. Logistic regression was used to determine which diseases significantly predicted the use of each eHealth resource.

Results

The use of apps was increased among those individuals that (had) suffered from psychological problems (odds ratio [OR] 1.39, 95% CI 1.23-1.56) and cardiovascular diseases (OR 1.12, 95% CI 1.01-1.24) and those part-time workers that (had) suffered from any of the diseases classified as others (OR 2.08, 95% CI 1.35-3.32). The use of search engines for accessing health information increased among individuals who suffered from psychological problems (OR 1.39, 95% CI 1.25-1.55), cancer (OR 1.26, 95% CI 1.11-1.44), or any of the diseases classified as other diseases (OR 1.27, 95% CI 1.13-1.42). Regarding video services, their use for accessing health information was more likely when the participant was a man (OR 1.31, 95% CI 1.13-1.53), (had) suffered from psychological problems (OR 1.70, 95% CI 1.43-2.01), or (had) suffered from other diseases (OR 1.43, 95% CI 1.20-1.71). The factors associated with an increase in the use of social media for accessing health information were as follows: (had) suffered from psychological problems (OR 1.65, 95% CI 1.42-1.91), working part time (OR 1.35, 95% CI 0.62-2.63), receiving disability benefits (OR 1.42, 95% CI 1.14-1.76), having received an upper secondary school education (OR 1.20, 95% CI 1.03-1.38), being a man with a high household income (OR 1.67, 95% CI 1.07-2.60), suffering from cardiovascular diseases and having a high household income (OR 3.39, 95% CI 1.62-8.16), and suffering from respiratory diseases while being retired (OR 1.95, 95% CI 1.28-2.97).

Conclusions

Our findings show that different diseases are currently associated with the use of different eHealth resources. This knowledge is useful for those who plan eHealth interventions as they can take into account which type of eHealth resource may be used for gaining the attention of the different user groups.

Impact of the Use of Electronic Health Tools on the Psychological and Emotional Well-Being of Electronic Health Service Users (The Seventh Tromsø Study - Part 3): Population-Based Questionnaire Study

Background

Electronic health (eHealth) has been described as a silver bullet for addressing how challenges of the current health care system may be solved by technological solutions in future strategies and visions for modern health care. However, the evidence of its effects on service quality and cost effectiveness remains unclear. In addition, patients’ psychological and emotional reactions to using eHealth tools are rarely addressed by the scientific literature.

Objective

This study aimed to assess how the psychological and emotional well-being of eHealth service users is affected by the use of eHealth tools.

Methods

We analyzed data from a population-based survey in Norway, conducted in the years 2015-2016 and representing 10,604 eHealth users aged over 40 years, to identify how the use of eHealth tools was associated with feeling anxious, confused, knowledgeable, or reassured. Associations between these four emotional outcomes and the use of four types of eHealth services (Web search engines, video search engines, health apps, and social media) were analyzed using logistic regression models.

Results

The use of eHealth tools made 72.41% (6740/9308) of the participants feel more knowledgeable and 47.49% (4421/9308) of the participants feel more reassured about their health status. However, 25.69% (2392/9308) reported feeling more anxious and 27.88% (2595/9308) reported feeling more confused using eHealth tools. A high level of education and not having a full-time job were associated with positive reactions and emotions (feeling more knowledgeable and reassured), whereas low self-reported health status and not having enough friends who could provide help and support predicted negative reactions and emotions (ie, feeling anxious and confused). Overall, the positive emotional effects of eHealth use (feeling knowledgeable and reassured) were relatively more prevalent among users aged over 40 years than the negative emotional effects (ie, feeling anxious and confused). About one-fourth of eHealth users reported being more confused and anxious after using eHealth services.

Conclusions

The search for health information on the internet can be motivated by a range of factors and needs (not studied in this study), and people may experience a range of reactions and feelings following health information searching on the Web. Drawing on prior studies, we categorized reactions as positive and negative reactions. Some participants had negative reactions, which is challenging to resolve and should be taken into consideration by eHealth service providers when designing services (ie, including concrete information about how users can get more help and support). There is a need for more studies examining a greater range of reactions to online health information and factors that might predict negative reactions to health information on the Web.