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Certain populations are underrepresented in clinical trials, limiting the generalizability of new treatments and their efficacy and uptake in these populations. It is essential to identify and understand effective strategies for enrolling young adults in clinical trials, as they represent a vital and key demographic for future clinical trial participation. This study aimed to develop, test, and evaluate digital tools designed to encourage the participation of young adults in the clinical trial process. An interdisciplinary approach, incorporating social listening, qualitative focus groups, and co-design workshops, was used to achieve this goal. Digital tools were designed and evaluated using a 4-phase approach that included: (1) social listening to characterize lived experiences with COVID-19 trials as self-reported by online users, (2) qualitative focus groups with young adults to explore specific lived attitudes and experiences related to COVID-19 clinical research hesitancy and engagement, (3) a series of cocreation and co-design workshops to build digital tools aimed at encouraging clinical trial participation, and (4) a controlled intercept study to assess the usability and specific outcome measures of the co-designed digital tools among young adults. A significantly higher change in the likelihood of participating in a clinical trial post exposure was observed among study participants when exposed to prototypes of a mobile app (Δ=0.74 on a 10-point scale, P<.01) and website (Δ=0.93, P<.01) compared to those exposed to a Facebook ad (Δ=0.21) but not a digital flyer (Δ=0.58). Furthermore, those exposed to the mobile app (x̅=5.76, P=.04) and electronic flier (x̅=5.72, P=.04), but not the website (x̅=5.55), exhibited significantly higher postexposure interest in learning about clinical trials when compared to participants exposed to the Facebook (Meta) ad (x̅=5.06). Participants in the intercept study were more likely to consider joining a clinical trial after seeing a mobile app (Δ=0.74, P<.01) or website (Δ=0.93, P<.001) compared to a Facebook ad (Δ=0.21), but the digital flyer (Δ=0.58) did not show a significant difference. In addition, those who saw the mobile app (x̅=5.76, P=.04) or the digital flyer (x̅=5.72, P=.04) showed more interest in learning about clinical trials than those who saw the Facebook ad (x̅=5.06), though the website (x̅= 5.55) did not significantly impact interest. Mobile apps and web pages co-designed with young diverse adults may represent effective digital tools to advance shared goals of encouraging inclusive clinical trials.

Introduction Throughout the COVID-19 pandemic, underserved populations, such as racial and ethnic minorities, were disproportionately impacted by illness, hospitalization, and death. Equity in clinical trials means that the participants in clinical trials represent the people who are most likely to have the health condition and need the treatment that the trial is testing. Infodemiology approaches examining user conversations on social media platforms have the potential to elucidate specific barriers and challenges related to clinical trial participation, including among racial and ethnic minority populations. Materials and methods The study retrospectively collected and analyzed user question and answer posts from Quora in October 2021 using an inductive content coding approach. We also examined user’s publicly available profile metadata to identify racial and ethnic minority users to capture their experiences, attitudes, topics, and discussions of barriers to COVID-19 vaccine trials. Results A total of 1073 questions and 7479 answers were collected. A total of 763 questions and 2548 answers were identified as related to COVID-19 vaccine clinical trials. The majority of these online interactions focused on asking questions and sharing knowledge and opinions about COVID-19 vaccine trials, including major topics related to: (a) interpreting whether clinical trial results could be trusted; (b) questions about vaccine efficacy and safety; (c) understanding trial design, regulatory considerations, and vaccine platforms; and (d) questions about trial enrollment, length, and adequate representation. Additionally, four major barriers discussed included: (i) disagreement from users regarding whether clinical trials require representation from different racial and ethnic minorities; (ii) concerns regarding the safety of trials when participating; (iii) lack of knowledge on how to participate in a trial; and (iv) questions of whether participants could withdraw from a trial to access an approved COVID-19 vaccine. Conclusions Our study found active user discussions related to COVID-19 vaccine clinical trials on Quora, including those specific to minority health topics and those posted by a smaller group of self-identified racial and ethnic minority online users. Results from this study can help identify barriers to participation among the general public and underrepresented groups while also supporting the design of future outreach strategies to help with recruitment and inclusive trial participation.

Background Many clinical trials fail because of poor recruitment and enrollment which can directly impact the success of biomedical and clinical research outcomes. Options to leverage digital technology for improving clinical trial management are expansive, with potential benefits for improving access to clinical trials, encouraging trial diversity and inclusion, and potential cost-savings through enhanced efficiency. Objectives This systematic review has two key aims: (1) identify and describe the digital technologies applied in clinical trial recruitment and enrollment and (2) evaluate evidence of these technologies addressing the recruitment and enrollment of racial and ethnic minority groups. Methods We conducted a cross-disciplinary review of articles from PubMed, IEEE Xplore, and ACM Digital Library, published in English between January 2012 and July 2022, using MeSH terms and keywords for digital health, clinical trials, and recruitment and enrollment. Articles unrelated to technology in the recruitment/enrollment process or those discussing recruitment/enrollment without technology aspects were excluded. Results The review returned 614 results, with 21 articles (four reviews and 17 original research articles) deemed suitable for inclusion after screening and full-text review. To address the first objective, various digital technologies were identified and characterized, which included articles with more than one technology subcategory including (a) multimedia presentations (19%, n = 4); (b) mobile applications (14%, n = 3); (c) social media platforms (29%, n = 6); (d) machine learning and computer algorithms (19%, n = 4); (e) e-consenting (24%, n = 5); (f) blockchain (5%, n = 1); (g) web-based programs (24%, n = 5); and (h) virtual messaging (24%, n = 5). Additionally, subthemes, including specific diseases or conditions addressed, privacy and regulatory concerns, cost/benefit analyses, and ethnic and minority recruitment considerations, were identified and discussed. Limited research was found to support a particular technology's effectiveness in racial and ethnic minority recruitment and enrollment. Conclusion Results from this review illustrate that several types of technology are currently being explored and utilized in clinical trial recruitment and enrollment stages. However, evidence supporting the use of digital technologies is varied and requires further research and evaluation to identify the most valuable opportunities for encouraging diversity in clinical trial recruitment and enrollment practices.

Exposure to pro-tobacco and electronic nicotine delivery system (ENDS) social media content can lead to overconsumption, increasing the likelihood of nicotine poisoning. This study aims to examine trends and characteristics of nicotine sickness content on Twitter between 2018-2020. Tweets were collected retrospectively from the Twitter Academic Research Application Programming Interface (API) stream filtered for keywords: 'nic sick', 'nicsick', 'vape sick', 'vapesick' between 2018-2020. Collected tweets were manually annotated to identify suspected user-generated reports of nicotine sickness and related themes using an inductive coding approach. The Augmented Dickey-Fuller (ADF) test was used to assess stationarity in the monthly variation of the volume of tweets between 2018-2020. A total of 5651 tweets contained nicotine sickness-related keywords and 18.29% (n=1034) tweets reported one or more suspected nicotine sickness symptoms of varied severity. These tweets were also grouped into five related categories including firsthand and secondhand reports of symptoms, intentional overconsumption of nicotine products, users expressing intention to quit after 'nic sick' symptoms, mention of nicotine product type/brand name that they consumed while 'nic sick', and users discussing symptoms associated with nicotine withdrawal following cessation attempts. The volume of tweets reporting suspected nicotine sickness appeared to increase throughout the study period, except between February and April 2020. Stationarity in the volume of 'nicsick' tweets between 2018-2020 was not statistically significant (ADF= -0.32, p=0.98) indicating a change in the volume of tweets. Results point to the need for alternative forms of adverse event surveillance and reporting, to appropriately capture the growing health burden of vaping. Infoveillance approaches on social media platforms can help to assess the volume and characteristics of user-generated content discussing suspected nicotine poisoning, which may not be reported to poison control centers. Increasing volume of user-reported nicotine sickness and intentional overconsumption of nicotine in twitter posts represent a concerning trend associated with ENDS-related adverse events and poisoning.

Synthetic cannabinoids are a significant public health concern, especially among incarcerated populations due to increased reports of abuse. Recent news reports have highlighted the severe consequences of K2/Spice, a synthetic cannabinoid, among the prison population in the United States. Despite regulations against cell phone use, inmates use TikTok to post K2/Spice-related content. This study aimed to examine TikTok posts for use and illicit distribution of psychoactive substances (eg, K2/Spice) among incarcerated populations. The study collected TikTok videos associated with the #k2spice hashtag and used a data collection approach similar to snowball sampling. Inductive coding was used to conduct content analysis of video characteristics. Videos were manually annotated to generate binary classifications related to the use of K2/Spice as well as selling and buying activities associated with it. Statistical analysis was used to determine associations between a video's user engagement and an intent to buy or sell K2/Spice. A total of 89 TikTok videos with the hashtag #k2spice were manually coded, with 40% (n=36) identified as displaying the use, solicitation, or adverse effects of K2/Spice among the prison population. Of them, 44.44% (n=16) were in a prison-based setting documenting adverse effects including possible overdose. Videos with higher user engagement were positively correlated with comments indicating an intent to buy or sell K2/Spice. K2/Spice is a drug subject to abuse among prison inmates in the United States, including depictions of its harmful effects being recorded and shared on TikTok. Lack of policy enforcement on TikTok and the need for better access to treatment services within the prison system may be exacerbating substance use among this highly vulnerable population. Minimizing the potential individual harm of this content on the incarcerated population should be a priority for social media platforms and the criminal justice system alike.

Though vaccine hesitancy and misinformation has been pervasive online, via platforms such as Twitter, little is known about the characteristics of pediatric-specific vaccine hesitancy and how online users interact with verified user accounts that may hold larger influence. Identifying specific COVID-19 pediatric vaccine hesitancy themes and online user interaction and sentiment may help inform health promotion that addresses vaccine hesitancy more effectively among parents and caregivers of pediatric populations. Keywords were used to query the public streaming twitter application programming interface to collect tweets associated with COVID-19 pediatric vaccines. From this corpus of tweets, we used topic modeling to output 20 topic clusters of tweet content and examined the 10 most retweeted tweets from each cluster to classify for relevance to pediatric COVID-19 vaccine hesitancy topics. Tweets were inductively coded to identify specific themes. Publicly available user metadata were assessed to identify verified accounts and self-reporting of racial or ethnic identity, and parental status. Replies to tweets were coded for user sentiment. A chi-squared test was used to determine the proportion of users agreeing with misinformation tweets 863,007 tweets were collected between October 2020–October 2021. The 230 top tweets reviewed after outputting topic clusters accounted for 236,121 tweets and retweets. 84 unique tweets were identified as related to pediatric COVID-19 vaccine topics by verified users. Twenty three tweets (generating 44,509 retweets) contained misinformation-related themes. Seventy-one percent (n = 742) of user replies agreed with misinformation sentiment of the parent tweet. Main themes identified included vaccine development conspiracy, vaccine is experimental, and vaccine as a control tactic discussions. This study found that users who interacted with misinformation posted by verified accounts were more likely to agree than disagree with misinformation sentiment.

Individuals choosing permanent female contraception (PFC) face barriers including age and parity. Prior literature has focused on regret, but rarely on understanding patient perspectives. Social media is increasingly used to obtain medical information; hence this study seeks to use popular platforms to evaluate motivations, barriers, and facilitators to obtaining PFC. This study collected Twitter and Reddit posts from October 2020 to April 2023 and July 2017 to April 2023, respectively. Data was analyzed using Bidirectional Encoder Representations from Transformers (BERT), followed by manual deductive coding of relevant topic clusters to characterize user-generated PFC discussions. We collected 409,641 posts including 321,267 tweets and 88,374 Reddit posts and performed content analysis using a deductive coding schema using the socio-ecological model approach to determine which posts to include in the final analysis. Sentiment analysis was conducted to detect emotions and themes most correlated with post engagement. We identified 2,356 posts, including 2,076 tweets (88.12%) and 280 subreddit posts (11.88%) from Reddit relevant to PFC discourse. Major themes included clinician (n = 246; 10.44%), patient (n = 1,388; 58.91%), interpersonal (n = 254; 10.78%), institutional (n = 311; 13.20%), and policy-level perspectives (n = 157; 6.66%) and derived 22 subthemes. The top subthemes included patients' seeking/sharing PFC advice (20.80%), discussion of successful completion or commitment/intent to undergo PFC (27.04%), interactions with healthcare providers and beliefs surrounding PFC regret (10.77%), the cost associated with PFC (7.05%), and the Dobbs V. Jackson ruling (6.66%). Additionally, there was a significant increase in posts on PFC following the Dobbs decision. Sentiment analysis shows that posts containing emotional words (both positive and negative) and words related to themes such as home, friends, and family were more likely to receive engagement on Reddit while sentiments related to health, optimism, and communication were correlated with tweet engagement. As reproductive healthcare continues to face restrictions, online communities provide insight into the motivations and decision-making behaviors of people seeking PFC. Findings can help clinicians better understand patient perspectives, and improve our ability to provide person-centered contraception care for patients desiring PFC.

BackgroundTobacco has significant cultural and spiritual uses in many Indigenous communities. The tobacco industry has long appropriated American Indian or Alaska Native (AI/AN or Indigenous) cultural imagery in print media and signage to advertise commercial tobacco products. In the internet era, little is known about the representation of commercial tobacco product advertising using AI/AN terms and images on social media.MethodsWith structured platform searches, custom data collection approaches and a combination of manual content analysis and natural language processing approaches (NLP), we identified and characterised content using the hashtag #TraditionalTobacco (specific to Indigenous contexts) on Instagram and Twitter.ResultsUsing a combination of manual annotation and NLP, we identified prevalent themes and discussion topics, such as misrepresentation of traditional AI/AN uses of tobacco, appropriation of AI/AN imagery in retail advertising of tobacco and different uses for tobacco among North American Indigenous communities in 486 Instagram posts and 89 tweets. The representation of retail and recreational use of tobacco was more prevalent than traditional tobacco use on Instagram, a platform popular among youth and adolescents, while tobacco-related conversations on Twitter (X) primarily focused on debunking misconceptions about traditional tobacco use. Several tobacco retailers using AI/AN imagery in their advertising claimed to be affiliated with an AI/AN community, but we were unable to verify if these claims were authorised or legitimate.ConclusionsFindings may inform the design of culturally appropriate tobacco cessation interventions among AI/AN youth and lead to greater regulation of commercial tobacco product advertising.

Background The opioid epidemic has had a devastating impact on youth from American Indian and Alaska Native (AI/AN) Tribes and Villages, which also experience disparate suicide rates. The use of publicly available social media data originating from AI/AN communities may enhance public health response time to substance use disorder (SUD)-related overdose and augment Tribal public health surveillance systems, but these concepts have yet to be adequately explored. The goal of this exploratory analysis was to identify primary and secondary accounts of overdose and characterize relevant contextual factors in the AI/AN population on social media. Methods The Twitter application programming interface was queried for all Tweets containing geocoded data between March 2014 and June 2020 and filtered for the keyword [‘overdose’]. This sample of Tweets ( n  = 146,236) was then restricted to those geolocated from US Tribal lands ( n  = 619). Tweets were manually annotated for primary or secondary accounts of overdose as well as suicidal ideation, substance(s) used, stigma of drug use, and community-wide incidents. Results We collected a total of 146,235 tweets that were geocoded and contained the word ‘overdose,’ of which 9.5% were posted on Tribal lands ( n  = 619). 9.4% of these tweets ( n  = 58) met our study inclusion criteria and were mainly posted from Oklahoma ( n  = 26, 45%) and North Carolina ( n  = 13, 22.4%). Most Tweets ( n  = 41, 71%) described a primary account of an overdose and were mostly posted from 2014 to 2015. Less than half of the Tweets ( n  = 27, 46.5%) referenced a specific substance. Those substances mentioned included alcohol, marijuana, methamphetamine, heroin, laundry softener, cocaine, K2-Spice (synthetic cannabinoid), codeine, morphine, Nyquil, and Xanax. Discussion Though exploratory, our study identified SUD-related content self-reported by AI/AN communities on Twitter, especially in Oklahoma and North Carolina. These results may assist in the future design and detection of infodemiology trends and early warning signs that can better facilitate intervention specific to the ongoing Tribal opioid epidemic. While all data were collected from the public domain, additional care should be given to individual and community privacy.