Characterizing Trends in Human Papillomavirus Vaccine Discourse on Reddit (2007-2015): An Observational Study

Identifying Data-Driven Clinical Subgroups for Cervical Cancer Prevention With Machine Learning: Population-Based, External, and Diagnostic Validation Study

Background

Cervical cancer remains a major global health issue. Personalized, data-driven cervical cancer prevention (CCP) strategies tailored to phenotypic profiles may improve prevention and reduce disease burden.

Objective

This study aimed to identify subgroups with differential cervical precancer or cancer risks using machine learning, validate subgroup predictions across datasets, and propose a computational phenomapping strategy to enhance global CCP efforts.

Methods

We explored the data-driven CCP subgroups by applying unsupervised machine learning to a deeply phenotyped, population-based discovery cohort. We extracted CCP-specific risks of cervical intraepithelial neoplasia (CIN) and cervical cancer through weighted logistic regression analyses providing odds ratio (OR) estimates and 95% CIs. We trained a supervised machine learning model and developed pathways to classify individuals before evaluating its diagnostic validity and usability on an external cohort.

Results

This study included 551,934 women (median age, 49 years) in the discovery cohort and 47,130 women (median age, 37 years) in the external cohort. Phenotyping identified 5 CCP subgroups, with CCP4 showing the highest carcinoma prevalence. CCP2-4 had significantly higher risks of CIN2+ (CCP2: OR 2.07 [95% CI: 2.03-2.12], CCP3: 3.88 [3.78-3.97], and CCP4: 4.47 [4.33-4.63]) and CIN3+ (CCP2: 2.10 [2.05-2.14], CCP3: 3.92 [3.82-4.02], and CCP4: 4.45 [4.31-4.61]) compared to CCP1 (P<.001), consistent with the direction of results observed in the external cohort. The proposed triple strategy was validated as clinically relevant, prioritizing high-risk subgroups (CCP3-4) for colposcopies and scaling human papillomavirus screening for CCP1-2.

Conclusions

This study underscores the potential of leveraging machine learning algorithms and large-scale routine electronic health records to enhance CCP strategies. By identifying key determinants of CIN2+/CIN3+ risk and classifying 5 distinct subgroups, our study provides a robust, data-driven foundation for the proposed triple strategy. This approach prioritizes tailored prevention efforts for subgroups with varying risks, offering a novel and scalable tool to complement existing cervical cancer screening guidelines. Future work should focus on independent external and prospective validation to maximize the global impact of this strategy.

Online Discourse and Trends Surrounding HPV Vaccination for Head and Neck Cancer Prevention

OBJECTIVE

In 2020, the Food and Drug Administration (FDA) approved Merck's GARDASIL 9 for prevention of certain human papillomavirus (HPV)-related head and neck cancer. This study characterizes the sentiment and themes of HPV vaccination online discourse surrounding the 2020 FDA recommendation.

STUDY DESIGN

Retrospective cohort.

SETTING

Data from 2018 to 2022: Reddit, Teen VaxView (Centers for Disease Control and Prevention), and Google Trends.

METHODS

Online public discourse was assessed by searching Reddit for user submitted posts using relevant keywords. Reddit posts were categorized by a trained machine learning classifier. Natural language processing calculated positive/negative sentiment, polarity, and frequent nonstop words. Google Trends assessed relative search popularity, and TeenVaxView assessed HPV vaccinations among adolescents. Statistical relationships were assessed using linear and logarithmic regression models.

RESULTS

Analysis of 2751 Reddit posts demonstrated a balanced overall positive/negative sentiment, with a substantial positive trend over the study period (P = .05). Most posts were personal stories/questions (n = 1997, 72.6%) and conspiracy posts made up a just a small minority (n = 186, 6.8%). Discussion including head and neck anatomical and cancer terms significantly increased (P = .01). Vaccination coverage trended upward significantly for males and females (P < .01). A significant relationship was found between positive sentiment trend and vaccination coverage (P = .02).

CONCLUSION

Discourse surrounding the HPV vaccine has been increasingly positive in sentiment and changes in FDA guidelines correlated with increased discussion of HPV-related head and neck cancer. There was a concurrent increased adolescent vaccination rate.

Strong Fears, Weak Ties, and Nonsuicidal Self-Injury: Medical Inquiries About Injury, Wound, and Scar Care from a Self-Harm Subreddit

Through the theoretical lens of the Strength of Weak Ties Theory, this study examined medical advice sought within a self-harm subreddit. Using a social constructionist epistemology and employing a Reflexive Thematic Analysis, we explored 596 inquiries for medical advice about nonsuicidal self-injury-related injuries, wounds, and scar care. Five overarching themes were identified: (a) pleading for wound care help from weak-ties, (b) expressing fear of hospitalization deterring requests to strong-ties, (c) seeking validation for harm-reduction from weak-ties (d) asking weak-ties how to navigate unexpected outcomes, and (e) requesting help from weak-ties to conceal wounds, injuries, and scars from strong-ties. Our findings align with previous research by describing Reddit as a valuable resource when strong-ties are inaccessible or unapproachable. They extend the existing literature by highlighting users' frequently asserted preference for online medical inquiries due to stigma and involuntary hospitalization fears often associated with medical and mental health providers. We discuss the need for injury and wound care best practices in accessible spaces while offering theoretical and practical implications for key stakeholders. Given the frequent spread of mis/disinformation on user-generated social networks, we also emphasize the importance of users' verifying the accuracy of medical advice received before implementing suggestions received online from anonymous weak ties connections. Ultimately, this study highlights the nuances between online medical inquiries, social support, and barriers to accessible and empathetic healthcare for individuals engaging in nonsuicidal self-injury.

Temporal Trends in Knowledge of Human Papillomavirus and Associated Oropharyngeal Cancer Following Expanded Vaccination Eligibility

OBJECTIVE

Human papillomavirus (HPV) is a significant driver of elevated risk for oropharyngeal squamous cell carcinoma (OPSCC). In 2018, HPV vaccination eligibility was expanded to men and women aged 27 to 45. We evaluated changes in awareness of HPV, its association with OPSCC, and HPV vaccination among all US adults between 2018 and 2020, focusing on those aged 27 to 45.

STUDY DESIGN

Cross-sectional survey cycles.

SETTING

The Health Information National Trends Survey (HINTS).

METHODS

The HINTS, a nationally representative survey of US adults, was queried. A total of 3504 adults in 2018 and 3865 adults in 2020 were assessed for knowledge of HPV, its vaccine, its association with OPSCC, and changes in awareness between 2018 and 2020. Statistical significance was set at P < .05.

RESULTS

Most respondents were aware of HPV (2018: 60.8%; 2020: 64.8%) and its vaccine (2018: 60.8%; 2020: 61.6%). A significant decrease in awareness of the association between HPV and cervical cancer was seen between 2018 and 2020 (75.0% vs 70.2%, P = .028). Knowledge of HPV+ OPSCC was poor and did not change over time (2018: 27.0%, 2020: 29.5%). Statistically significant increases in HPV awareness between 2018 and 2020 were found for individuals who reported completing high school as their highest level of education (P = .009), Caucasians (P = .013), males (P = .024), and those making more than $200,000 annually (P = .022).

CONCLUSION

Knowledge of the association between HPV and OPSCC remained poor despite expanded vaccine eligibility. Public health education on the association may increase awareness for groups likely to benefit from vaccination.

Social Media Perceptions and Internet Verification Skills Associated With Human Papillomavirus Vaccine Decision-Making Among Parents of Children and Adolescents: Cross-sectional Survey

BACKGROUND

Human Papillomavirus (HPV) vaccination is recommended for children aged 11-12 years in the United States. One factor that may contribute to low national HPV vaccine uptake is parental exposure to misinformation on social media.

OBJECTIVE

This study aimed to examine the association between parents' perceptions of the HPV vaccine information on social media and internet verification strategies used with the HPV vaccine decision-making stage for their child.

METHODS

Parents of children and adolescents aged 9-17 years were recruited for a cross-sectional survey in North Texas (n=1192) and classified into 3 groups: children and adolescents who (1) were vaccinated, (2) unvaccinated and did not want the vaccine, and (3) unvaccinated and wanted the vaccine. Multinomial logistic regression models were estimated to identify factors associated with the HPV vaccine decision-making stage with children and adolescents who were vaccinated as the referent group.

RESULTS

Of the 1192 respondents, 44.7% (n=533) had an HPV-vaccinated child, 38.8% (n=463) had an unvaccinated child and did not want the vaccine, and 16.4% (n=196) had an unvaccinated child and wanted the vaccine. Respondents were less likely to be "undecided/not wanting the vaccine" if they agreed that HPV information on social media is credible (adjusted odds ratio [aOR] 0.40, 95% CI 0.26-0.60; P=.001), disagreed that social media makes them question the HPV vaccine (aOR 0.22, 95% CI 0.15-0.33; P<.001), or had a higher internet verification score (aOR 0.74, 95% CI 0.62-0.88; P<.001).

CONCLUSIONS

Interventions that promote web-based health literacy skills are needed so parents can protect their families from misinformation and make informed health care decisions.

Investigating Media Coverage and Public Perceptions of the HPV Vaccine in China - A Content Analysis of Weibo Posts

Human papillomavirus (HPV) is one of the most common sexually transmitted infections worldwide. The HPV vaccination has been widely advocated around the world since the vaccine is beneficial in avoiding diseases, including some sexually transmitted diseases, brought on by HPV infections. For most Chinese, the HPV vaccine is still a relatively new concept, having only been made available to the general public in 2016. Despite the vaccine's increased prominence, there is still a lack of investigation about how the public is influencing the conversation about HPV vaccines and the public's perception of this vaccine. With the theoretical construct of the Health Belief Model, this study conducts both quantitative and qualitative content analysis to investigate the existing media narratives around HPV vaccines in China and the changes in public opinion by looking at users' contributions on Weibo, one of China's most popular social networking sites. It was found that different groups of Weibo users had contributed to diverse narratives surrounding HPV vaccination. Though the public awareness of HPV vaccination had been improved along with increasingly active communication practices and enhanced public health services, public knowledge about HPV remains inadequate. Therefore, to facilitate the popularisation of HPV related knowledge, more effort should be invested in tailoring and disseminating messages that communicate responsive and comprehensive HPV related information.

Experiments with LDA and Top2Vec for embedded topic discovery on social media data—A case study of cystic fibrosis

Social media has become an important resource for discussing, sharing, and seeking information pertinent to rare diseases by patients and their families, given the low prevalence in the extraordinarily sparse populations. In our previous study, we identified prevalent topics from Reddit via topic modeling for cystic fibrosis (CF). While we were able to derive/access concerns/needs/questions of patients with CF, we observed challenges and issues with the traditional techniques of topic modeling, e.g., Latent Dirichlet Allocation (LDA), for fulfilling the task of topic extraction. Thus, here we present our experiments to extend the previous study with an aim of improving the performance of topic modeling, by experimenting with LDA model optimization and examination of the Top2Vec model with different embedding models. With the demonstrated results with higher coherence and qualitatively higher human readability of derived topics, we implemented the Top2Vec model with doc2vec as the embedding model as our final model to extract topics from a subreddit of CF (“r/CysticFibrosis”) and proposed to expand its use with other types of social media data for other rare diseases for better assessing patients' needs with social media data.

COVID-19 vaccine perceptions in the initial phases of US vaccine roll-out: an observational study on reddit

BACKGROUND

Open online forums like Reddit provide an opportunity to quantitatively examine COVID-19 vaccine perceptions early in the vaccine timeline. We examine COVID-19 misinformation on Reddit following vaccine scientific announcements, in the initial phases of the vaccine timeline.

METHODS

We collected all posts on Reddit (reddit.com) from January 1 2020 - December 14 2020 (n=266,840) that contained both COVID-19 and vaccine-related keywords. We used topic modeling to understand changes in word prevalence within topics after the release of vaccine trial data. Social network analysis was also conducted to determine the relationship between Reddit communities (subreddits) that shared COVID-19 vaccine posts, and the movement of posts between subreddits.

RESULTS

There was an association between a Pfizer press release reporting 90% efficacy and increased discussion on vaccine misinformation. We observed an association between Johnson and Johnson temporarily halting its vaccine trials and reduced misinformation. We found that information skeptical of vaccination was first posted in a subreddit (r/Coronavirus) which favored accurate information and then reposted in subreddits associated with antivaccine beliefs and conspiracy theories (e.g. conspiracy, NoNewNormal).

CONCLUSIONS

Our findings can inform the development of interventions where individuals determine the accuracy of vaccine information, and communications campaigns to improve COVID-19 vaccine perceptions, early in the vaccine timeline. Such efforts can increase individual- and population-level awareness of accurate and scientifically sound information regarding vaccines and thereby improve attitudes about vaccines, especially in the early phases of vaccine roll-out. Further research is needed to understand how social media can contribute to COVID-19 vaccination services.

HPV Vaccination: Polish-Language Facebook Discourse Analysis

Social media platforms are widely used for spreading vaccine-related information. The objectives of this paper are to characterize Polish-language human papillomavirus (HPV) vaccination discourse on Facebook and to trace the possible influence of the COVID-19 pandemic on changes in the HPV vaccination debate. A quantitative and qualitative analysis was carried out based on data collected with a tool for internet monitoring and social media analysis. We found that the discourse about HPV vaccination bearing negative sentiment is centralized. There are leaders whose posts generate the bulk of anti-vaccine traffic and who possess relatively greater capability to influence recipients’ opinions. At the beginning of the COVID-19 pandemic vaccination debate intensified, but there is no unequivocal evidence to suggest that interest in the HPV vaccination topic changed.

Exploring public perceptions of the COVID-19 vaccine online from a cultural perspective: Semantic network analysis of two social media platforms in the United States and China

The development and uptake of the COVID-19 (coronavirus disease 2019) vaccine is a top priority in stifling the COVID-19 pandemic. How the public perceives the COVID-19 vaccine is directly associated with vaccine compliance and vaccination coverage. This study takes a cultural sensitivity perspective and adopts two well-known social media platforms in the United States (Twitter) and China (Weibo) to conduct a public perception comparison around the COVID-19 vaccine. By implementing semantic network analysis, results demonstrate that the two countries' social media users overlapped in themes concerning domestic vaccination policies, priority groups, challenges from COVID-19 variants, and the global pandemic situation. However, Twitter users were prone to disclose individual vaccination experiences, express anti-vaccine attitudes. In comparison, Weibo users manifested evident deference to authorities and exhibited more positive feelings toward the COVID-19 vaccine. Those disparities were explained by the cultural characteristics' differences between the two countries. The findings provide insights into comprehending public health issues in cross-cultural contexts and illustrate the potential of utilizing social media to conduct health informatics studies and investigate public perceptions during public health crisis time.

Human Papillomavirus Vaccination and Social Media: Results in a Trial With Mothers of Daughters Aged 14-17

Introduction: Parents acquire information about human papillomavirus (HPV) vaccines online and encounter vaccine-critical content, especially on social media, which may depress vaccine uptake. Secondary analysis in a randomized trial of a Facebook-delivered adolescent health campaign targeting mothers with posts on HPV vaccination was undertaken with the aims of (a) determining whether the pre–post-change occurred in self-reports of the mothers on HPV vaccination of their adolescent daughters; (b) describing the comments and reactions to vaccine posts; (c) exploring the relationship of campaign engagement of the mothers assessed by their comments and reactions to posts to change in the self-reports of the mothers of HPV vaccination.

Materials and Methods: Mothers of daughters aged 14–17 were recruited from 34 states of the US (n = 869). A social media campaign was delivered in two Facebook private groups that differed in that 16% of posts in one were focused on indoor tanning (IT) and 16% in the other, on prescription drug misuse, assigned by randomization. In both groups, posts promoted HPV vaccination (n = 38 posts; no randomization) and vaccination for other disease (e.g., influenza, n = 49). HPV and other vaccination posts covered the need for a vaccine, the number of adolescents vaccinated, how vaccines are decreasing the infection rates, and stories of positive benefits of being vaccinated or harms from not vaccinating. Guided by social cognitive theory and diffusion of innovations theory, posts were intended to increase knowledge, perceived risk, response efficacy (i.e., a relative advantage over not vaccinated daughters), and norms for vaccination. Some vaccination posts linked to stories to capitalize on identification effects in narratives, as explained in transportation theory. All mothers received the posts on vaccination (i.e., there was no randomization). Mothers completed surveys at baseline and 12- and 18-month follow-up to assess HPV vaccine uptake by self-report measures. Reactions (such as sad, angry) and comments to each HPV-related post were counted and coded.

Results: Initiation of HPV vaccination (1 dose) was reported by 63.4% of mothers at baseline, 71.3% at 12-month posttest (pre/post p < 0.001), and 73.3% at 18-month posttest (pre/post p < 0.001). Completion of HPV vaccination (two or three doses) was conveyed by 50.2% of mothers at baseline, 62.5% at 12-month posttest (pre/post p < 0.001), and 65.9% at 18-month posttest (pre/post p < 0.001). For posts on HPV vaccines, 8.1% of mothers reacted (n = 162 total), and 68.4% of posts received a reaction (63.2% like; 13.2% love, 7.9% sad). In addition, 7.6% of mothers commented (n = 122; 51 unfavorable, 68 favorable, 1 neutral), and 50.0% of these posts received a comment. There were no differences in pre–post change in vaccine status by the count of reactions or comments to HPV vaccine posts (Ps > 0.05). Baseline vaccination was associated with the valence of comments to HPV vaccine posts (7.2% of mothers whose daughters had completed the HPV series at baseline made a favorable comment but 7.6% of mothers whose daughters were unvaccinated made an unfavorable comment).

Conclusion: Effective strategies are needed in social media to promote HPV vaccines and counter misinformation about and resistance to them. Mothers whose daughters complete the HPV vaccine course might be recruited as influencers on HPV vaccines, as they may be predisposed to talk favorably about the vaccine. Comments from mothers who have not been vaccinated should be monitored to ensure that they do not spread vaccine-critical misinformation. Study limitations included lack of randomization and control group, relatively small number of messages on HPV vaccines, long measurement intervals, inability to measure views of vaccination posts, reduced generalizability related to ethnicity and social media use, and use of self-reported vaccine status.

Clinical Trial Registration:www.clinicaltrials.gov, identifier NCT02835807.

Vaccine adverse event mentions in social media: Mining the language of Twitter conversations (Preprint)

Background

Traditional monitoring for adverse events following immunization (AEFI) relies on various established reporting systems, where there is inevitable lag between an AEFI occurring and its potential reporting and subsequent processing of reports. AEFI safety signal detection strives to detect AEFI as early as possible, ideally close to real time. Monitoring social media data holds promise as a resource for this.

Objective

The primary aim of this study is to investigate the utility of monitoring social media for gaining early insights into vaccine safety issues, by extracting vaccine adverse event mentions (VAEMs) from Twitter, using natural language processing techniques. The secondary aims are to document the natural language processing techniques used and identify the most effective of them for identifying tweets that contain VAEM, with a view to define an approach that might be applicable to other similar social media surveillance tasks.

Methods

A VAEM-Mine method was developed that combines topic modeling with classification techniques to extract maximal VAEM posts from a vaccine-related Twitter stream, with high degree of confidence. The approach does not require a targeted search for specific vaccine reaction–indicative words, but instead, identifies VAEM posts according to their language structure.

Results

The VAEM-Mine method isolated 8992 VAEMs from 811,010 vaccine-related Twitter posts and achieved an F₁ score of 0.91 in the classification phase.

Conclusions

Social media can assist with the detection of vaccine safety signals as a valuable complementary source for monitoring mentions of vaccine adverse events. A social media–based VAEM data stream can be assessed for changes to detect possible emerging vaccine safety signals, helping to address the well-recognized limitations of passive reporting systems, including lack of timeliness and underreporting.

The role of social media for patients with temporomandibular disorders: A content analysis of Reddit

BACKGROUND

Social media is frequently used to discuss health topics among users. Reddit is a popular social media platform particularly suit for discussion about chronic illness because of its anonymity that allow users to express uninhibited feelings. Temporomandibular disorders (TMD) represent a chronic painful disorder which has been rarely studied in terms of social media discussion.

OBJECTIVES

By exploring how Reddit is used to discuss about TMD, we aim to raise awareness to clinicians involved in TMD management about the online discussion on this topic.

METHODS

A quantitative content analysis was performed on a pool of most relevant threads and comments about the topic "TMJ" on Reddit. Following a codebook, two independent coders assessed multiple clinically relevant variables. A third subject resolved eventual discrepancies.

RESULTS

Reddit is mostly used by subjects with TMD asking for advice to other users about symptoms and treatment modalities. The most discussed causes of TMD were bruxism and dental occlusion, and the most discussed treatments were oral appliance therapy and complementary and alternative treatments. The most favourable opinions about treatment modalities were for self-care and behavioural therapy while the least favourable opinions were for surgery and irreversible dental treatments.

CONCLUSIONS

Reddit represents an excellent data-mining platform to retrieve valuable information about health-related discussion by the community. Our findings suggest an overall alignment of such discussion with evidence-based science about TMD; however, to further increase this trend, we encourage healthcare provider to take an active role in the digital spread of scientifically valid information.

Factors Influencing the Popularity of a Health-Related Answer on a Chinese Question-and-Answer Website: Case Study

BACKGROUND

Social question-and-answer (Q&A) sites have become an important venue for individuals to obtain and share human papillomavirus (HPV) vaccine knowledge.

OBJECTIVE

This study aims to examine how different features of an HPV vaccine-related answer are associated with users' response behaviors on social Q&A websites.

METHODS

A total of 2953 answers and 270 corresponding questions regarding the HPV vaccine were collected from a leading Chinese social Q&A platform, Zhihu. Three types of key features, including content, context, and contributor, were extracted and coded. Negative binomial regression models were used to examine their impact on the vote and comment count of an HPV vaccine-related answer.

RESULTS

The findings showed that both content length and vividness were positively related to the response behaviors of HPV vaccine-related answers. In addition, compared with answers under the question theme benefits and risks, answers under the question theme vaccination experience received fewer votes and answers under the theme news opinions received more votes but fewer comments. The effects of characteristics of contributors were also supported, suggesting that answers from a male contributor with more followers and no professional identity would attract more votes and comments from community members. The significant interaction effect between content and context features further showed that long and vivid answers about HPV vaccination experience were more likely to receive votes and comments of users than those about benefits and risks.

CONCLUSIONS

The study provides a complete picture of the underlying mechanism behind response behaviors of users toward HPV vaccine-related answers on social Q&A websites. The results help health community organizers develop better strategies for building and maintaining a vibrant web-based community for communicating HPV vaccine knowledge.

Characterizing Discourse about COVID-19 Vaccines: A Reddit Version of the Pandemic Story

It has been one year since the outbreak of the COVID-19 pandemic. The good news is that vaccines developed by several manufacturers are being actively distributed worldwide. However, as more and more vaccines become available to the public, various concerns related to vaccines become the primary barriers that may hinder the public from getting vaccinated. Considering the complexities of these concerns and their potential hazards, this study is aimed at offering a clear understanding about different population groups' underlying concerns when they talk about COVID-19 vaccines-particularly those active on Reddit. The goal is achieved by applying LDA and LIWC to characterize the pertaining discourse with insights generated through a combination of quantitative and qualitative comparisons. Findings include the following: (1) during the pandemic, the proportion of Reddit comments predominated by conspiracy theories outweighed that of any other topics; (2) each subreddit has its own user bases, so information posted in one subreddit may not reach that from other subreddits; and (3) since users' concerns vary across time and subreddits, communication strategies must be adjusted according to specific needs. The results of this study manifest challenges as well as opportunities in the process of designing effective communication and immunization programs.

Associations of COVID-19 online information sources and information overload with psychological distress symptoms: a population-based study

Using information communication technologies as information sources of COVID-19 was associated with psychological problems, but mechanisms remain uncertain. We examined associations of COVID-19 information sources and information overload with psychological distress symptoms and explored the mediating effect of information overload in Hong Kong. A random sample of Chinese adults (N = 1501; 52.6% females; 55.0% aged 30-59) from dual landline and online surveys in April 2020 reported frequency of using traditional media, internet websites, social networking sites, instant messaging, and online discussion forums as COVID-19 information sources. Psychological distress symptoms were measured using the Patient Health Questionnaire 4-item ([PHQ-4]; 0-12). Information overload defined as a perception of being overwhelmed was measured (1-6). Linear regressions were performed to analyze the associations, and the mediating effect of information overload was examined. Greater PHQ-4 score was observed for frequent use of internet websites (adjusted b = 0.58, 95% CI 0.29, 0.87, adjusted β = 0.12) and online discussion forums (adjusted b = 0.39, 95% CI 0.08, 0.70, adjusted β = 0.08) and information overload (adjusted b = 0.54, 95% CI 0.44, 0.63, adjusted β = 0.28). Information overload mediated 44.9% and 36.9% of associations of frequent use of internet websites and online discussion forums with PHQ-4 score, respectively. Frequent use of social networking sites was associated with lower PHQ-4 score (adjusted b = -0.37, 95% CI -0.69, -0.04, adjusted β = -0.07) partially through lower information overload (37.5%). Psychological distress symptoms were associated with frequent use of internet websites and online discussion forums as COVID-19 information sources, which were mediated through information overload.

Categorising patient concerns using natural language processing techniques

OBJECTIVES

Patient feedback is critical to identify and resolve patient safety and experience issues in healthcare systems. However, large volumes of unstructured text data can pose problems for manual (human) analysis. This study reports the results of using a semiautomated, computational topic-modelling approach to analyse a corpus of patient feedback.

METHODS

Patient concerns were received by Alberta Health Services between 2011 and 2018 (n=76 163), regarding 806 care facilities in 163 municipalities, including hospitals, clinics, community care centres and retirement homes, in a province of 4.4 million. Their existing framework requires manual labelling of pre-defined categories. We applied an automated latent Dirichlet allocation (LDA)-based topic modelling algorithm to identify the topics present in these concerns, and thereby produce a framework-free categorisation.

RESULTS

The LDA model produced 40 topics which, following manual interpretation by researchers, were reduced to 28 coherent topics. The most frequent topics identified were communication issues causing delays (frequency: 10.58%), community care for elderly patients (8.82%), interactions with nurses (8.80%) and emergency department care (7.52%). Many patient concerns were categorised into multiple topics. Some were more specific versions of categories from the existing framework (eg, communication issues causing delays), while others were novel (eg, smoking in inappropriate settings).

DISCUSSION

LDA-generated topics were more nuanced than the manually labelled categories. For example, LDA found that concerns with community care were related to concerns about nursing for seniors, providing opportunities for insight and action.

CONCLUSION

Our findings outline the range of concerns patients share in a large health system and demonstrate the usefulness of using LDA to identify categories of patient concerns.

Misinformation and other elements in HPV vaccine tweets: an experimental comparison

Our study examined how misinformation and other elements of social media messages affect antecedents to human papillomavirus (HPV) vaccination of adolescents. In 2017-2018, we randomly assigned a national sample of 1206 U.S. parents of adolescents to view one tweet using a 2 × 2 × 2 × 2 between-subjects factorial experiment. The 16 experimental tweets varied four messaging elements: misinformation (misinformation or not), source (person or organization), narrative style (storytelling or scientific data), and topic (effectiveness or safety). Parents reported their motivation to vaccinate (primary outcome), trust in social media content, and perceived risk about HPV-related diseases. Tweets without misinformation elicited higher HPV vaccine motivation than tweets with misinformation (25% vs. 5%, OR = 6.60, 95% CI:4.05, 10.75). Motivation was higher for tweets from organizations versus persons (20% vs. 10%, OR = 2.47, 95% CI:1.52, 4.03) and about effectiveness versus safety (20% vs. 10%, OR = 2.03, 95% CI:1.24, 3.30). Tweets with misinformation produced lower trust and higher perceived risk (both p < .01), with impact varying depending on source and topic. In conclusion, misinformation was the most potent social media messaging element. It may undermine progress in HPV vaccination.

Detecting adherence to the recommended childhood vaccination schedule from user-generated content in a US parenting forum

Vaccine hesitancy is considered as one of the leading causes for the resurgence of vaccine preventable diseases. A non-negligible minority of parents does not fully adhere to the recommended vaccination schedule, leading their children to be partially immunized and at higher risk of contracting vaccine preventable diseases. Here, we leverage more than one million comments of 201,986 users posted from March 2008 to April 2019 on the public online forum BabyCenter US to learn more about such parents. For 32% with geographic location, we find the number of mapped users for each US state resembling the census population distribution with good agreement. We employ Natural Language Processing to identify 6884 and 10,131 users expressing their intention of following the recommended and alternative vaccination schedule, respectively RSUs and ASUs. From the analysis of their activity on the forum we find that ASUs have distinctly different interests and previous experiences with vaccination than RSUs. In particular, ASUs are more likely to follow groups focused on alternative medicine, are two times more likely to have experienced adverse events following immunization, and to mention more serious adverse reactions such as seizure or developmental regression. Content analysis of comments shows that the resources most frequently shared by both groups point to governmental domains (.gov). Finally, network analysis shows that RSUs and ASUs communicate between each other (indicating the absence of echo chambers), however with the latter group being more endogamic and favoring interactions with other ASUs. While our findings are limited to the specific platform analyzed, our approach may provide additional insights for the development of campaigns targeting parents on digital platforms.

The importance and effectiveness of vaccines is generally high, but concerns toward vaccination contribute to eroding confidence in vaccination. Recently, alternative vaccination schedules are becoming popular as they allow parents to selectively delay or refuse certain vaccines depending on their specific concerns. Not being expressly anti-vaccination, these parents are challenging to identify on social media, however understanding the determinants of their hesitancy toward vaccines could help addressing parents’ concerns through targeted interventions. In this work, we create a Natural Language Processing pipeline to automatically identify parents who state their adherence to the recommended or alternative vaccination schedule on a popular parenting forum, BabyCenter US. We find that these users have distinct interests and different experiences with vaccination, although they frequently share similar sources of information (e.g., .gov websites). Differently from what is observed on most popular digital platforms like Facebook or Twitter, where users communicate mainly with like-minded users, Babycenter users communicate between each other independently of the vaccination schedule they adopt. These observations suggest that parenting fora may be a more suitable medium to develop intervention aiming to influence positively the vaccination behavior of parents.

Social Media Engagement and Influenza Vaccination During the COVID-19 Pandemic: Cross-sectional Survey Study

Background

Vaccines are one of the most important achievements of modern medicine. However, their acceptance is only partial, with vaccine hesitancy and refusal representing a major health threat. Influenza vaccines have low compliance since repeated, annual vaccination is required. Influenza vaccines stimulate discussions both in the real world and online. Social media is currently a significant source of health and medical information. Elucidating the association between social media engagement and influenza vaccination is important and may be applicable to other vaccines, including ones against COVID-19.

Objective

The goal of this study is to characterize profiles of social media engagement regarding the influenza vaccine and their association with knowledge and compliance in order to support improvement of future web-associated vaccination campaigns.

Methods

A weblink to an online survey in Hebrew was disseminated over social media and messaging platforms. The survey answers were collected during April 2020. Anonymous and volunteer participants aged 21 years and over answered 30 questions related to sociodemographics; social media usage; influenza- and vaccine-related knowledge and behavior; health-related information searching, its reliability, and its influence; and COVID-19-related information searching. A univariate descriptive data analysis was performed, followed by multivariate analysis via building a decision tree to define the most important attributes associated with vaccination compliance.

Results

A total of 213 subjects responded to the survey, of whom 207 were included in the analysis; the majority of the respondents were female, were aged 21 to 40 years, had 1 to 2 children, lived in central Israel, were secular Israeli natives, had higher education, and had a salary close to the national average. Most respondents (128/207, 61.8%) were not vaccinated against influenza in 2019 and used social media. Participants that used social media were younger, secular, and living in high-density agglomerations and had lower influenza vaccination rates. The perceived influence and reliability of the information on social media about COVID-19 were generally similar to those perceptions about influenza.

Conclusions

Using social media is negatively linked to compliance with seasonal influenza vaccination in this study. A high proportion of noncompliant individuals can lead to increased consumption of health care services and can, therefore, overload these health services. This is particularly crucial with a concomitant outbreak, such as COVID-19. Health care professionals should use improved and targeted health communication campaigns with the aid of experts in social media. Targeted communication, based on sociodemographic factors and personalized social media usage, might increase influenza vaccination rates and compliance with other vaccines as well.

The virtual infertility community: a qualitative analysis of patient experiences shared on Instagram

PURPOSE

To characterize the experiences of patients undergoing in vitro fertilization (IVF) through a qualitative analysis of content shared on Instagram.

METHODS

We analyzed Instagram posts from five randomly selected days in February 2020. The hashtag, #ivfcommunity, was selected to identify public posts authored by Instagram's IVF community members from multiple treatment centers. Text, photos, hashtags, and emojis were collected from 452 included posts and entered into a study-specific database. Using thematic coding, a four-member team initially coded the first day in February. Common themes were agreed upon by all team members, and a preliminary codebook was created for further analysis. The remaining posts were coded by two-member teams who reached a consensus on the multiple themes assigned to each individual post.

RESULTS

Analysis of posts led to the identification of five major themes: documentation of the medical and physical experience of IVF (76.1%), the emotional spectrum (43.1%), social support (49.2%), coping mechanisms (29.9%), and education (receipt, provision) (11.1%).

CONCLUSION

Our findings suggest that women undergoing IVF often utilize social media to document daily experiences, offer and recognize sources of community support, and provide and receive education regarding their treatments. Given the increased prevalence of mental health conditions, medical providers should explore challenges discussed on online platforms and consider harnessing the supportive nature of online communities to supplement care for IVF patients.

Discovering the Context of People With Disabilities: Semantic Categorization Test and Environmental Factors Mapping of Word Embeddings from Reddit

BACKGROUND

The World Health Organization's International Classification of Functioning Disability and Health (ICF) conceptualizes disability not solely as a problem that resides in the individual, but as a health experience that occurs in a context. Word embeddings build on the idea that words that occur in similar contexts tend to have similar meanings. In spite of both sharing "context" as a key component, word embeddings have been scarcely applied in disability. In this work, we propose social media (particularly, Reddit) to link them.

OBJECTIVE

The objective of our study is to train a model for generating word associations using a small dataset (a subreddit on disability) able to retrieve meaningful content. This content will be formally validated and applied to the discovery of related terms in the corpus of the disability subreddit that represent the physical, social, and attitudinal environment (as defined by a formal framework like the ICF) of people with disabilities.

METHODS

Reddit data were collected from pushshift.io with the pushshiftr R package as a wrapper. A word2vec model was trained with the wordVectors R package using the disability subreddit comments, and a preliminary validation was performed using a subset of Mikolov analogies. We used Van Overschelde's updated and expanded version of the Battig and Montague norms to perform a semantic categories test. Silhouette coefficients were calculated using cosine distance from the wordVectors R package. For each of the 5 ICF environmental factors (EF), we selected representative subcategories addressing different aspects of daily living (ADLs); then, for each subcategory, we identified specific terms extracted from their formal ICF definition and ran the word2vec model to generate their nearest semantic terms, validating the obtained nearest semantic terms using public evidence. Finally, we applied the model to a specific subcategory of an EF involved in a relevant use case in the field of rehabilitation.

RESULTS

We analyzed 96,314 comments posted between February 2009 and December 2019, by 10,411 Redditors. We trained word2vec and identified more than 30 analogies (eg, breakfast - 8 am + 8 pm = dinner). The semantic categorization test showed promising results over 60 categories; for example, s(A relative)=0.562, s(A sport)=0.475 provided remarkable explanations for low s values. We mapped the representative subcategories of all EF chapters and obtained the closest terms for each, which we confirmed with publications. This allowed immediate access (≤ 2 seconds) to the terms related to ADLs, ranging from apps "to know accessibility before you go" to adapted sports (boccia). For example, for the support and relationships EF subcategory, the closest term discovered by our model was "resilience," recently regarded as a key feature of rehabilitation, not yet having one unified definition. Our model discovered 10 closest terms, which we validated with publications, contributing to the "resilience" definition.

CONCLUSIONS

This study opens up interesting opportunities for the exploration and discovery of the use of a word2vec model that has been trained with a small disability dataset, leading to immediate, accurate, and often unknown (for authors, in many cases) terms related to ADLs within the ICF framework.

Adapting and Extending a Typology to Identify Vaccine Misinformation on Twitter

Objectives. To adapt and extend an existing typology of vaccine misinformation to classify the major topics of discussion across the total vaccine discourse on Twitter.Methods. Using 1.8 million vaccine-relevant tweets compiled from 2014 to 2017, we adapted an existing typology to Twitter data, first in a manual content analysis and then using latent Dirichlet allocation (LDA) topic modeling to extract 100 topics from the data set.Results. Manual annotation identified 22% of the data set as antivaccine, of which safety concerns and conspiracies were the most common themes. Seventeen percent of content was identified as provaccine, with roughly equal proportions of vaccine promotion, criticizing antivaccine beliefs, and vaccine safety and effectiveness. Of the 100 LDA topics, 48 contained provaccine sentiment and 28 contained antivaccine sentiment, with 9 containing both.Conclusions. Our updated typology successfully combines manual annotation with machine-learning methods to estimate the distribution of vaccine arguments, with greater detail on the most distinctive topics of discussion. With this information, communication efforts can be developed to better promote vaccines and avoid amplifying antivaccine rhetoric on Twitter.

Declining awareness of HPV and HPV vaccine within the general US population

Programs aimed at boosting human papillomavirus (HPV)-related awareness are considered one of the most effective strategies for increasing vaccination uptake and eliminating HPV-associated cancers. Several US states have made strong commitments to this effort through legislation and dedicated funds. However, it is not known if these efforts have resulted in population-level increments in HPV awareness overtime. Using the Health Information National Trends Survey data, we examined the awareness of HPV and HPV vaccine in the US, between 2008 and 2018. Prevalence estimates and confidence intervals were calculated for HPV and HPV vaccine awareness. Further, we assessed awareness after stratifying by key sociodemographic characteristics. Overall, the awareness of HPV and HPV vaccine declined over time. The lowest awareness was among racial minorities, rural residents, male respondents, those aged 65 years and older, as well as those with the lowest educational and socioeconomic standing. Between 2013 and 2018, the awareness of HPV and HPV vaccine declined by almost 10% among males, those with a high school level of education or lower, and those who earned less than USD 35,000 per annum. In 2018, the awareness of HPV and HPV vaccine was highest among non-Hispanic whites (65.8% and 66.5%) and female adults (70.5% and 71.4%); however, these figures represented declines of about 5% from rates observed in 2008. Amidst a background of sub-optimal HPV vaccination uptake and a growing incidence of HPV-associated cancers in the US, HPV-related awareness within the general US population has declined over time. This calls for stricter enforcement of legislation aimed at boosting HPV awareness, as well as frequent evaluation of government-funded HPV awareness programs.

Characterizing HPV Vaccine Sentiments and Content on Instagram

Background. With its growing popularity, inclusion of image and text, and user-friendly interface, Instagram is uniquely positioned for exploring health behaviors and sources and types of informational exposure related to the human papillomavirus (HPV) vaccine. Aims. To characterize public Instagram posts about the HPV vaccine and quantify the impact of sentiment and context on engagement via likes. Method. Using Netlytic, 3,378 publicly available English-language posts were collected using the search terms "#HPV," "#HPVVaccine," and "#Gardasil." We randomly selected 1,200 posts to content analyze. Our final analytic sample included 360 posts after excluding posts whose links were no longer active (n = 221) or that were not relevant (n = 619). Results. A higher proportion of posts were pro-vaccine (55.8%) than anti-vaccine (42.2%). Pro-HPV vaccination posts were liked significantly less than anti-vaccination posts (24 vs. 86 likes; p < .001). More posts contained actionable information/resources (63.9%) than personal narrative elements (36.1%). Less than one in three posts (30.0%) came from health-related sources. Discussion. Pro-vaccine posts were more prevalent on Instagram, and anti-vaccine posts had higher engagement and typically included misleading information about the HPV vaccine. Personal narratives skewed toward anti-vaccine sentiments and most were produced by individual users. Pro-vaccine narratives portrayed individuals who received the vaccine, but provided limited details on vaccine experiences, starkly contrasting with the depth of details in anti-vaccine personal narrative posts. Conclusion. On Instagram, individuals and organizations have an opportunity to promote HPV vaccination by continuing to provide informational resources in addition to creating more narrative-style posts.

Chinese social media suggest decreased vaccine acceptance in China: An observational study on Weibo following the 2018 Changchun Changsheng vaccine incident

China is home to the world's largest population, with the potential for disease outbreaks to affect billions. However, knowledge of Chinese vaccine acceptance trends is limited. In this work we use Chinese social media to track responses to the recent Changchun Changsheng Biotechnology vaccine scandal, which led to extensive discussion regarding vaccine safety and regulation in China. We analyzed messages from the popular Chinese microblogging platform Sina Weibo in July 2018 (n = 11,085), and August 2019 (n = 500). Thus, we consider Chinese vaccine acceptance, before, during, immediately after, and one year after the scandal occurred. Results show that expressions of distrust in government pertaining to vaccines increased significantly during and immediately after the scandal. Self-reports of vaccination occurred both before, and one year after, the scandal; however, these self-reports changed from positive endorsements of vaccination to concerns about vaccine harms. Data suggest that expressed support for vaccine acceptance in China may be decreasing.

Mining HPV Vaccine Knowledge Structures of Young Adults From Reddit Using Distributional Semantics and Pathfinder Networks

The human papillomavirus (HPV) vaccine protects adolescents and young adults from 9 high-risk HPV virus types that cause 90% of cervical and anal cancers and 70% of oropharyngeal cancers. This study extends our previous research analyzing online content concerning the HPV vaccination in social media platforms used by young adults, in which we used Pathfinder network scaling and methods of distributional semantics to characterize differences in knowledge organization reflected in consumer- and expert-generated online content. The current study extends this approach to evaluate HPV vaccine perceptions among young adults who populate Reddit, a major social media platform. We derived Pathfinder networks from estimates of semantic relatedness obtained by learning word embeddings from Reddit posts and compared these to networks derived from human expert estimation of the relationship between key concepts. Results revealed that users of Reddit, predominantly comprising young adults in the vaccine catch up age-group 18 through 26 years of age, perceived the HPV vaccine domain from a virus-framed perspective that could impact their lifestyle choices and that their awareness of the HPV vaccine for cancer prevention is also lacking. Further differences in knowledge structures were elucidated, with implications for future health communication initiatives.