Can a selfie promote public engagement with skin cancer?

The New Media Landscape and Its Effects on Skin Cancer Diagnostics, Prognostics, and Prevention: Scoping Review

BACKGROUND

The wide availability of web-based sources, including social media (SM), has supported rapid, widespread dissemination of health information. This dissemination can be an asset during public health emergencies; however, it can also present challenges when the information is inaccurate or ill-informed. Of interest, many SM sources discuss cancer, specifically cutaneous melanoma and keratinocyte cancers (basal cell and squamous cell carcinoma).

OBJECTIVE

Through a comprehensive and scoping review of the literature, this study aims to gain an actionable perspective of the state of SM information regarding skin cancer diagnostics, prognostics, and prevention.

METHODS

We performed a scoping literature review to establish the relationship between SM and skin cancer. A literature search was conducted across MEDLINE, Embase, Cochrane Library, Web of Science, and Scopus from January 2000 to June 2023. The included studies discussed SM and its relationship to and effect on skin cancer.

RESULTS

Through the search, 1009 abstracts were initially identified, 188 received full-text review, and 112 met inclusion criteria. The included studies were divided into 7 groupings based on a publication's primary objective: misinformation (n=40, 36%), prevention campaign (n=19, 17%), engagement (n=16, 14%), research (n=12, 11%), education (n=11, 10%), demographics (n=10, 9%), and patient support (n=4, 3%), which were the most common identified themes.

CONCLUSIONS

Through this review, we gained a better understanding of the SM environment addressing skin cancer information, and we gained insight into the best practices by which SM could be used to positively influence the health care information ecosystem.

"I Think There Should Be Photos": Female Indoor Tanners' Perceptions of Health Warning Labels for Tanning Beds

This study explores female indoor tanners' perceptions of the current, text-only Canadian health warning label (HWL) for tanning equipment, as well as pictorial, evidence-based alternative HWLs. We created 10 test HWLs that depicted skin health effects, eye damage, premature aging, and death. Young women who had tanned indoors in the past year discussed these and the current federal HWL in focus groups. Although the current Canadian HWL was seen as informative, several participants did not recognize it, and many said that they would not read it due to the small text, wordiness, and lack of an image. Graphic images, particularly those depicting permanent conditions affecting the face, eyes, or appearance, were seen as effective. Common criticisms of the images were lack of believability, relatability, and comprehensibility. Although concise text was important for encouraging reading, many participants expressed a desire for more information in the test HWLs. Premature aging was of great concern to many participants, but the images selected for these HWLs were not perceived as effective. Although the text was seen as effective in the death HWLs, most participants dismissed the images. This research has implications for IT HWLs in Canada and globally. These results suggest that graphic images may be impactful in IT HWLs. Images must be supplemented with informative text that increases believability, relatability, and comprehensibility. These modifications would create HWLs that are engaging, informative, and that form part of a wider effort to spread awareness about the harmful effects of IT.

Using a social media based intervention to enhance eye health awareness of members of a deprived community in India

Deprived communities in India experience a range of health challenges as the result of a mixture of lack of access to information technologies, and difficulties in accessing health information and provision. This article reports on an intervention centred on the use of the social media platform, WhatsApp, in order to promote eye health communication. The case study based research was conducted in the village of Chowbaga, close to Kolkata, in West Bengal, with women participants who had low levels of education and high levels of unemployment. The women were invited to participate in a WhatsApp intervention that comprised five educational sessions. Participants were recruited through the local school that their children attended. Shortly after the conclusion of the intervention, focus groups were conducted with the participants in order to develop an understanding of participants views of the beneficial characteristics of such a social media based intervention, and, more specifically, the benefits of WhatsApp in increasing awareness of eye problems within their community. This research demonstrates and summarises the benefits of WhatsApp as a communications medium for deprived communities, as well as its potential for increasing awareness of eye problems. In particular, participants were of the view that future access to WhatsApp and other mobile-based platforms empowered them to take better care of their own and their family’s health.

#MeToo and Google Inquiries Into Sexual Violence: A Hashtag Campaign Can Sustain Information Seeking

The #MeToo Movement has brought new attention to sexual harassment and assault. While the movement originates with activist Tarana Burke, actor Alyssa Milano used the phrase on Twitter in October 2017 in response to multiple sexual harassment allegations against Hollywood producer Harvey Weinstein. Within 24 hours, 53,000 people tweeted comments and/or shared personal experiences of sexual violence. The study objective was to measure how information seeking via Google searches for sexual harassment and assault changed following Milano's tweet and whether this change was sustained in spite of celebrity scandals. Weekly Google search inquiries in the United States were downloaded for the terms metoo, sexual assault, sexual harassment, sexual abuse, and rape for January 1, 2017 to July 15, 2018. Seven related news events about perpetrator accusations were considered. Results showed that searches for metoo increased dramatically after the Weinstein accusation and stayed high during subsequent accusations. A small decrease in searches followed, but the number remained very high relative to baseline (the period before the Weinstein accusation). Searches for sexual assault and sexual harassment increased substantially immediately following the Weinstein accusation, stayed high during subsequent accusations, and saw a decline after the accusation of Matt Lauer (talk show host; last event considered). We estimated a 40% to 70% reduction in searches 6 months after the Lauer accusation, though the increase in searches relative to baseline remained statistically significant. For sexual abuse and rape, the number of searches returned close to baseline by 6 months. It appears that the #MeToo movement sparked greater information seeking that was sustained beyond the associated events. Given its recent ubiquitous use in the media and public life, hashtag activism such as #MeToo can be used to draw further attention to the next steps in addressing sexual assault and harassment, moving public web inquiries from information seeking to action.

Whose cancer? Visualising the distribution of mentions to cancer sites on instagram

This article presents a quantitative analysis of mentions to cancer on Instagram. Using thousands of images with cancer-related hashtags, we build several visualisations to capture their distribution. Source images are clustered by their visual traits and by the incidence, prevalence, and mortality of the cancer site they refer to. Our goal is three-fold: to provide a quantitative basis for future research on the representation of cancer online; to offer an interpretation of the sources of the imbalanced representation of the different cancer sites; and to motivate a debate on how that representation may affect patients and families.

Google Trends in Dermatology: Scoping Review of the Literature

BACKGROUND

Google Trends is a powerful online database and analytics tool of popular Google search queries over time and has the potential to inform medical practice and priorities.

OBJECTIVE

This review aimed to survey Google Trends literature in dermatology and elucidate its current roles and relationships with the field.

METHODS

A literature search was performed using PubMed to access and review relevant dermatology-related Google Trends studies published within the last 5 years.

RESULTS

Current research utilizing Google Trends data provides insight related to skin cancer, pruritus, cosmetic procedures, and COVID-19. We also found that dermatology is presently the highest-searched medical specialty-among 15 medical and surgical specialties as well as general practitioners. Google searches related to dermatology demonstrate a seasonal nature for various skin conditions and sun-related topics, depending on a region's inherent climate and hemi-sphere. In addition, celebrity social media and other viral posts have been found to potentiate Google searches about dermatology and drive public interest.

CONCLUSIONS

A limited number of relevant studies may have been omitted by the simplified search strategy of this study, as well as by restriction to English language articles and articles indexed in the PubMed database. This could be expanded upon in a secondary systematic review. Future re-search is warranted to better understand how Google Trends can be utilized to improve the quality of clinic visits, drive public health campaigns, and detect disease clusters in real time.

Impact of Social Media on Skin Cancer Prevention

Despite the increasing prevalence of social media usage in health care contexts, its impact on skin cancer prevention and awareness has not been largely investigated. We conducted a review of literature on this topic with the objective of summarizing and analyzing the role of social media in skin cancer and sun damage awareness and to identify the uses, benefits, and limitations of different social media platforms on skin cancer prevention. In today’s technological society, it is critical to understand and study the best form of communication. Specific platforms like Instagram, Twitter, Facebook, YouTube, and TikTok vary in originators of material, target demographics, messaging strategies, and reliability of information with regards to skin cancer, sun, and indoor tanning damage. Our results demonstrate that social media interventions have shown promise in skin cancer prevention and continue to escalate by the day. Dermatologists should keep pace with the latest dermatological content on social media and examine its evolution to target the right audience with the proper messages. Further research is needed to evaluate the effectiveness and true impact of social media on meaningful and lasting behavior change for skin cancer prevention.

An analysis of Google Trends following athletic injuries by high profile NBA players during the 2019 NBA finals

CONTEXT

Injuries are common among high profile players in the National Basketball Association (NBA), and could provide an opportunity for physicians to provide accurate sports injury information and reliable rehabilitation data to the general public in the immediate aftermath.

OBJECTIVES

To evaluate social media trends to investigate public interest in athletic injuries in the NBA and to evaluate the length of maintained interest in these injuries.

METHODS

The Google Trends tool was used to analyze search data around two high profile players-Kevin Durant and Klay Thompson-who suffered injuries during the 2019 NBA Finals. The results were compared to the expected search forecast derived from an autoregressive integrated moving algorithm model.

RESULTS

Both players were associated with a mean increase of 1,052.4% (standard deviation [SD], 703.96%) in relative search volumes for terms related to their injuries. This data showed a significant increase in search engine activity related to injuries associated with NBA players in the first 6.13 days (SD, 3.14 days) following the injuries, marking a substantial timeframe for public engagement.

CONCLUSIONS

Search traffic information may be beneficial to the sports medicine community, as social media can provide a platform for patient education in a limited timeframe. By increasing patient awareness and knowledge regarding athletic injuries, social media can expand the pool of potential patients for physicians and surgeons.

Public Online Interest in Injuries Sustained by National Football League Quarterbacks

Purpose

To use Google search data to determine the public’s interest in learning about athletic injuries sustained by NFL quarterbacks and to investigate how long this interest persists after the injuries.

Methods

We identified starting NFL quarterbacks during the 2019–2020 season online and used the official NFL injury report to determine whether an injury had occurred to a quarterback. We used the Google Trends tool to analyze search trends around a quarterback’s injuries from July 22, 2019, to October 22, 2019. Google trends data was extracted as relative search volume over time. We then compared the results to the expected search forecast derived from an autoregressive integrated moving algorithm (ARIMA) model.

Results

All 6 injured quarterbacks were associated with increases (64% to 100%) in relative search volumes for terms related to their injury. Furthermore, the data showed a consistent increase in search engine activity around the injuries associated with NFL quarterbacks in the first 3 days, marking a particularly influential time frame for public engagement.

Conclusion

Our data show an increase in Google traffic surrounding the injuries of prominent NFL quarterbacks within the first 3 days following their injuries.

Clinical Relevance

Social media can provide a platform for patient education through increasing patient awareness and knowledge regarding athletic injuries.

Social media based surveillance systems for healthcare using machine learning: A systematic review

BACKGROUND

Real-time surveillance in the field of health informatics has emerged as a growing domain of interest among worldwide researchers. Evolution in this field has helped in the introduction of various initiatives related to public health informatics. Surveillance systems in the area of health informatics utilizing social media information have been developed for early prediction of disease outbreaks and to monitor diseases. In the past few years, the availability of social media data, particularly Twitter data, enabled real-time syndromic surveillance that provides immediate analysis and instant feedback to those who are charged with follow-ups and investigation of potential outbreaks. In this paper, we review the recent work, trends, and machine learning(ML) text classification approaches used by surveillance systems seeking social media data in the healthcare domain. We also highlight the limitations and challenges followed by possible future directions that can be taken further in this domain.

METHODS

To study the landscape of research in health informatics performing surveillance of the various health-related data posted on social media or web-based platforms, we present a bibliometric analysis of the 1240 publications indexed in multiple scientific databases (IEEE, ACM Digital Library, ScienceDirect, PubMed) from the year 2010-2018. The papers were further reviewed based on the various machine learning algorithms used for analyzing health-related text posted on social media platforms.

FINDINGS

Based on the corpus of 148 selected articles, the study finds the types of social media or web-based platforms used for surveillance in the healthcare domain, along with the health topic(s) studied by them. In the corpus of selected articles, we found 26 articles were using machine learning technique. These articles were studied to find commonly used ML techniques. The majority of studies (24%) focused on the surveillance of flu or influenza-like illness (ILI). Twitter (64%) is the most popular data source to perform surveillance research using social media text data, and Support Vector Machine (SVM) (33%) being the most used ML algorithm for text classification.

CONCLUSIONS

The inclusion of online data in surveillance systems has improved the disease prediction ability over traditional syndromic surveillance systems. However, social media based surveillance systems have many limitations and challenges, including noise, demographic bias, privacy issues, etc. Our paper mentions future directions, which can be useful for researchers working in the area. Researchers can use this paper as a library for social media based surveillance systems in the healthcare domain and can expand such systems by incorporating the future works discussed in our paper.

Automated image analysis of instagram posts: Implications for risk perception and communication in public health using a case study of #HIV

People’s perceptions about health risks, including their risk of acquiring HIV, are impacted in part by who they see portrayed as at risk in the media. Viewers in these cases are asking themselves “do those portrayed as at risk look like me?” An accurate perception of risk is critical for high-risk populations, who already suffer from a range of health disparities. Yet, to date no study has evaluated the demographic representation of health-related content from social media. The objective of this case study was to apply automated image recognition software to examine the demographic profile of faces in Instagram posts containing the hashtag #HIV (obtained from January 2017 through July 2018) and compare this to the demographic breakdown of those most at risk of a new HIV diagnosis (estimates of incidence of new HIV diagnoses from the 2017 US Centers for Disease Control HIV Surveillance Report). We discovered 26,766 Instagram posts containing #HIV authored in American English with 10,036 (37.5%) containing a detectable human face with a total of 18,227 faces (mean = 1.8, standard deviation [SD] = 1.7). Faces skewed older (47% vs. 11% were 35–39 years old), more female (41% vs. 19%), more white (43% vs. 26%), less black (31% vs 44%), and less Hispanic (13% vs 25%) on Instagram than for new HIV diagnoses. The results were similarly skewed among the subset of #HIV posts mentioning pre-exposure prophylaxis (PrEP). This disparity might lead Instagram users to potentially misjudge their own HIV risk and delay prophylactic behaviors. Social media managers and organic advocates should be encouraged to share images that better reflect at-risk populations so as not to further marginalize these populations and to reduce disparity in risk perception. Replication of our methods for additional diseases, such as cancer, is warranted to discover and address other misrepresentations.

What Can Twitter Tell Us about Skin Cancer Communication and Prevention on Social Media?

BACKGROUND

Skin cancer places a substantial burden on the health system in Australia. The modernisation of skin cancer prevention interventions by using social media may enhance their contemporary reach and relevance, especially among the youth. This study aimed to analyse Twitter posts in Australia to establish a baseline of skin cancer and sun-related communication trends.

METHODS

Tweets posted over the summer of 2018/2019 relating to relevant keywords and hashtags such as "slipslopslap" and "sunscreen" were analysed using quantitative and qualitative methods. The number of tweets, related communication patterns, and possible factors for sudden changes in tweet volume were studied.

RESULTS

Results showed that Australians are using Twitter to communicate about their sun-related and skin cancer experiences and to share advice and information on this matter. Overall, Australians use Twitter more frequently to talk about sunscreen (number of tweets between December 2018 and February 2019 = 5,842) and/or skin cancer (n = 3,936), but not so often to communicate about other sun-protective behaviours (n = 1,972) or skin cancer prevention campaigns (n = 108). The number of tweets is greatly affected by the increase in temperature. Celebrities, non-health-related organisations with a high number of followers, and individuals sharing their own skin cancer experiences achieve a substantial number of likes and retweets and thus influence on Twitter regarding skin cancer-related communication.

CONCLUSIONS

The results allow deeper understanding of important determinants for effective social media use for health promotion and public health messaging in the future. Linking tweets with temperature, sharing by celebrities or non-health-related organisations and individuals with a high following can all contribute to greater spread of skin cancer and sun-related messages.

Connections between sources of health and beauty information and indoor tanning behavior among college women

Objective: This study tested how media, family, and peer sources of health and beauty information predict indoor tanning (IT) beliefs and behavior. Participants: 210 undergraduate women at a state university in the southeastern United States. Methods: Respondents completed a survey about sources of health and beauty information, IT beliefs, and IT behavior. Correlations and a path model were used to test associations between variables. Results: Friends were positively and family were negatively associated with positive outcome expectations, with mood enhancement beliefs positively predicting behavior. Reliance on news positively predicted appearance damage and immediate risk, which both predicted behavior. Reliance on social media was negatively associated with beliefs about immediate risks. Conclusion: Health and beauty information from social media and from friends may promote beliefs about tanning, while information from news or one's family may reduce risky beliefs. Prevention efforts could leverage information sources to shift tanning beliefs and behavior.

World Pneumonia Day 2011-2016: Twitter contents and retweets

BACKGROUND

Twitter is used for World Pneumonia Day (WPD; November 12) communication. We evaluate if themes of #pneumonia tweets were associated with retweet frequency.

METHODS

A total of 28 181 original #pneumonia tweets were retrieved (21 November 2016), from which six subcorpora, 1 mo before and 1 mo after WPD 2011-2016, were extracted (n=6721). Underlying topics were identified via latent Dirichlet allocation and were manually coded into themes. The association of themes with retweet count was assessed via multivariable hurdle regression.

RESULTS

Compared with personal experience tweets, tweets that both raised awareness and promoted intervention were 2.62 times as likely to be retweeted (adjusted odds ratio [aOR] 2.62 [95% 1.79 to 3.85]) and if retweeted had 37% more retweets (adjusted prevalence ratio [aPR] 1.37 [95% CI 1.06 to 1.78]). Tweets that raised concerns about vaccine price were twice as likely to be retweeted (aOR 2.29 [95% CI 1.36 to 3.84]) and if retweeted, had double the retweet count (aPR 2.05 [95% CI 1.27 to 3.29]) of tweets sharing personal experience.

CONCLUSIONS

The #pneumonia tweets that both raised awareness and promoted interventions and those discussing vaccine price were more likely to engage users than tweets about personal experience. These results help health professionals craft WPD messages that will engage the audience.

'I saw it on Facebook!' Assessing the influence of social media on patient presentation to a melanoma screening clinic

BACKGROUND

The motivations for patients presenting to melanoma screening clinics (MSCs) with concerning skin lesions are poorly understood. Social media (SoMe) refers to online platforms designed to facilitate sharing of information with billions of users worldwide. There is evidence of patients posting skin lesion 'selfies' on SoMe, influencing internet searches. Interventions through SoMe may have positive impacts on health seeking behaviour.

AIM

To identify the influence of SoMe on patients presenting to an MSC service, and to establish whether patients have been exposed to SoMe posts on skin cancer, from medical authorities or the public.

METHOD

For this pilot study, qualitative data were collected from patient questionnaires over 7 consecutive weeks at MSCs in Newcastle upon Tyne hospitals. Questions involved demographics, factors influencing attendance, use of SoMe and exposure to content on skin lesions on SoMe.

RESULTS

Questionnaires were collected from 249 patients across a range of ages. Self-examination of lesions was the most common driver. One person in the study population described SoMe as having motivated their attendance, while 30 patients recalled seeing posts from health authorities regarding skin cancer. Qualitative data indicated that patients could be influenced by targeted public health campaigns on SoMe.

CONCLUSIONS

This study suggests that SoMe is not currently a major conscious driver to attend an MSC, even among SoMe-familiar populations. However, the fact that SoMe is ubiquitous in society, in conjunction with our qualitative data, may suggest that current strategies for SoMe melanoma information delivery are not of requisite quality to break through to target populations.

Deciphering the Signal From the Noise: Caregivers' Information Appraisal and Credibility Assessment of Cancer-Related Information Exchanged on Social Networking Sites

With the rise in the use of the Internet for health-related purposes, social networking sites (SNSs) have become a prominent platform for cancer communication and information exchange. Studies of cancer communication on SNS have mostly focused on understanding the quantity, content, quality, and user engagement (eg, likes and comments) with cancer-related information on SNS. There is less of an understanding of when and why people coping with cancer turn to SNS for cancer-related information, and how users appraise the credibility of cancer-related information obtained on SNS. In this study, we use data from in-depth qualitative interviews with 40 primary caregivers of pediatric patients with cancer to examine how cancer caregivers engage in information appraisal and credibility assessment of cancer-related information obtained on SNS. Findings show that cancer caregivers turned to SNS for cancer-related information because information on SNS was immediate, targeted in response to specific caregiver questions and concerns, and tailored to the specific information needs of cancer caregivers. Cancer caregivers evaluated the credibility of cancer-related information obtained on SNS through assessment of the SNS user who posted the information, frequency the same information was shared, and external corroboration. Findings have important implications for cancer communication and information interventions and point to elements of SNS cancer communication that can be integrated into health professional-facilitated communication and cancer information strategies.

Content analysis of Twitter chatter about indoor tanning

Twitter may be useful for learning about indoor tanning behavior and attitudes. The objective of this study was to analyze the content of tweets about indoor tanning to determine the extent to which tweets are posted by people who tan, and to characterize the topics of tweets. We extracted 4,691 unique tweets from Twitter using the terms "tanning bed" or "tanning salon" over 7 days in March 2016. We content analyzed a random selection of 1,000 tweets, double-coding 20% of tweets (κ = 0.74, 81% agreement). Most tweets (71%) were by tanners (n = 699 individuals) and included tweets expressing positive sentiment about tanning (57%), and reports of a negative tanning experience (17%), burning (15%), or sleeping in a tanning bed (9%). Four percent of tweets were by tanning salon employees. Tweets posted by people unlikely to be tanners (15%) included tweets mocking tanners (71%) and health warnings (29%). The term "tanning bed" had higher precision for identifying individuals who engage in indoor tanning than "tanning salon"; 77% versus 45% of tweets captured by these search terms were by individuals who engaged in indoor tanning, respectively. Extrapolating to the full data set of 4,691 tweets, findings suggest that an average of 468 individuals who engage in indoor tanning can be identified by their tweets per day. The majority of tweets were from tanners and included reports of especially risky habits (e.g., burning, falling asleep). Twitter provides opportunity to identify indoor tanners and examine conversations about indoor tanning.