Social media: a review and tutorial of applications in medicine and health care

Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study

BACKGROUND

Manually analyzing public health-related content from social media provides valuable insights into the beliefs, attitudes, and behaviors of individuals, shedding light on trends and patterns that can inform public understanding, policy decisions, targeted interventions, and communication strategies. Unfortunately, the time and effort needed from well-trained human subject matter experts makes extensive manual social media listening unfeasible. Generative large language models (LLMs) can potentially summarize and interpret large amounts of text, but it is unclear to what extent LLMs can glean subtle health-related meanings in large sets of social media posts and reasonably report health-related themes.

OBJECTIVE

We aimed to assess the feasibility of using LLMs for topic model selection or inductive thematic analysis of large contents of social media posts by attempting to answer the following question: Can LLMs conduct topic model selection and inductive thematic analysis as effectively as humans did in a prior manual study, or at least reasonably, as judged by subject matter experts?

METHODS

We asked the same research question and used the same set of social media content for both the LLM selection of relevant topics and the LLM analysis of themes as was conducted manually in a published study about vaccine rhetoric. We used the results from that study as background for this LLM experiment by comparing the results from the prior manual human analyses with the analyses from 3 LLMs: GPT4-32K, Claude-instant-100K, and Claude-2-100K. We also assessed if multiple LLMs had equivalent ability and assessed the consistency of repeated analysis from each LLM.

RESULTS

The LLMs generally gave high rankings to the topics chosen previously by humans as most relevant. We reject a null hypothesis (P<.001, overall comparison) and conclude that these LLMs are more likely to include the human-rated top 5 content areas in their top rankings than would occur by chance. Regarding theme identification, LLMs identified several themes similar to those identified by humans, with very low hallucination rates. Variability occurred between LLMs and between test runs of an individual LLM. Despite not consistently matching the human-generated themes, subject matter experts found themes generated by the LLMs were still reasonable and relevant.

CONCLUSIONS

LLMs can effectively and efficiently process large social media-based health-related data sets. LLMs can extract themes from such data that human subject matter experts deem reasonable. However, we were unable to show that the LLMs we tested can replicate the depth of analysis from human subject matter experts by consistently extracting the same themes from the same data. There is vast potential, once better validated, for automated LLM-based real-time social listening for common and rare health conditions, informing public health understanding of the public's interests and concerns and determining the public's ideas to address them.

Are we…social enough? Use of social media among members of the Italian Society of Neurology for the study of dementia

BACKGROUND

Clinical researchers increasingly embrace social media in their professional lives. The digital revolution has provided new routes for sharing data, disseminating results, and promoting the impact of scientific findings. In this study, we explored the attitude of the members of the Italian Society of Neurology for the study of dementia (SINdem) to use social media with the aim to set up possible corrective actions to maximize digitalization benefits at the individual and community levels.

METHOD

An ad hoc designed survey was implemented and distributed to the SINdem and SINdem4Juniors communities. It explored the different use of social media taking into account frequency, type of social media use (active vs passive; professional vs private). Descriptive statistical analyses were performed alongside statistical comparisons to highlight possible differences in the use.

RESULTS

We collected 133 answers showing a prominent use of social media in private life (t(132) = 21.1, p < 0.001), with SINdem4Juniors members showing a higher private use compared to the older SINdem colleagues. Professional use was mainly limited to passive activities such as following others' social profiles (t(132) = 11.9, p < 0.001).

DISCUSSION

Overall scenario suggests that professional use of social media is very limited in both SINdem and SINdem4juniors communities. This evidence points to an urgent need for training interventions and top-down strategies aimed at improving collaboration, dissemination, and sharing through social media among individuals belonging to the same scientific-professional community.

Social media use as a source of information by acne vulgaris patients

BACKGROUND

Social media and internet usage is undeniably high. Misinformation obtained from the internet and wrong treatment methods can cause serious problems in patients with acne vulgaris (AV). In this study, the sociodemographic data of AV patients, their frequency of using the internet as an information source, the relationship between them, and their attitudes and behaviors regarding their disease due to these programs were examined.

METHODS

481 patients aged 14 and over diagnosed with AV were included in the study. It was conducted in a descriptive cross-sectional type. Acne severity of all patients included in the study was determined using the Global Acne Grading System.

RESULTS

78.3 percent of participants use social media to get information about AV. It was determined that men and single people used social media about their illnesses at a statistically significantly higher rate than women and married people (p = 0.004). In addition, patients aged 13-18 and high school graduates use social media as a source of information about their diseases, and this rate is statistically significantly higher (p < 0.001).

CONCLUSION

Especially in the last decade, the use of social media tools to spread health messages has increased significantly. Because it has a chronic course and can cause cosmetic problems, AV patients may frequently resort to communication sources such as social media. Considering the possibility of social media misinforming patients, physicians should be aware that their patients with AV frequently use social media and should improve themselves in creating correct awareness on this issue.

Social Media Authentication and Users' Assessments of Health Information: Random Assignment Survey Experiment

BACKGROUND

In an effort to signal the authenticity of user accounts, social networking sites (SNSs) such as Facebook and X, formerly known as Twitter, use visual heuristics (blue checkmarks) to signify whether accounts are verified. While these verification badges are generally well recognized (and often coveted) by SNS users, relatively little is known about how they affect users' perceptions of accuracy or their likelihood of engaging with web-based information. This is particularly true in the case of information posted by medical experts and health care professionals.

OBJECTIVE

This study aims to use an experimental survey design to assess the effect of these verification badges on SNS users' assessments of information accuracy as well as their proclivity to recirculate health information or follow verified medical experts in their social network.

METHODS

A survey experiment using random assignment was conducted on a representative sample of 534 adult SNS users in Florida, United States. A total of 2 separate experimental scenarios exposed users to vaccine-related posts from verified medical experts on X. In each case, the original post contained a platform-issued verification badge (treatment group), which was subsequently edited out of the image as an experimental control. For each scenario, respondents were randomly assigned to either the treatment or control group, and responses to 3 follow-up questions were assessed through a series of chi-square analyses and 2 logit regression models. Responses were fielded using a stratified quota sampling approach to ensure representativeness of the state's population based on age, sex, race, ethnicity, and political affiliation.

RESULTS

Users' assessments of information accuracy were not significantly impacted by the presence or absence of verification badges, and users exposed to the experimental treatment (verification badge) were not any more likely to repost the message or follow the author. While verification badges did not influence users' assessments or subsequent behaviors, reliance on social media for health-related information and political affiliation were substantial predictors of accuracy assessments in both experimental scenarios. In scenario 1, which included a post addressing COVID-19 vaccine efficacy, users who relied on social media "a great deal" for health information were 2 times more likely to assess the post as accurate (odds ratio 2.033, 95% CI 1.129-3.661; P=.01). In scenario 2, which included a post about measles vaccines, registered Republicans were nearly 6 times less likely to assess the post as accurate (odds ratio 0.171, 95% CI 0.097-0.299; P<.001).

CONCLUSIONS

For health professionals and medical experts wishing to leverage social networks to combat misinformation and spread reliable health-related content, account verification appears to offer little by way of added value. On the basis of prior research, other heuristics and communication strategies are likely to yield better results.

The Role of Twitter in Radiology Medical Education and Research: A Review of Current Practices and Drawbacks

The trends in society have provided favourable conditions for the rapid growth of radiology on social media, specifically there has been an expanding presence on Twitter. Currently, simple searches on Twitter yield a plethora of radiology education resources, that may be suited for medical students, residents or practicing radiologists. Educators have many tools at their disposal to deliver effective teaching. Over time, strategies such as including images and scrollable stacks often are more successful at gaining popularity or clicks online. Journals and authors can use Twitter to promote their new scientific work and potentially reach audiences they couldn't have prior. Attendees at conferences can get involved in the conversation by tweeting about the meeting and engaging with other attendees with mutual interests. Interested medical students, residents and even practicing radiologists can use Twitter as a means of networking and connecting with other scholars all around the globe. Within its glory, Twitter does carry some drawbacks including privacy concerns, equality, and risk of misinformation. Above all, the future of Twitter is bright and promising for all who are currently on it and plan to use it for their education, research, or professional advancement.

Critical appraisal of YouTube videos regarding peri-implant diseases and conditions: A cross-sectional analysis

PURPOSE

To critically appraise the quality and reliability of YouTube videos regarding peri-implant diseases and conditions as a source of information for patients, students, and young clinicians.

MATERIALS AND METHODS

In March 2023, electronic searches were performed on YouTube website to identify videos related to peri-implant diseases and conditions. We considered only the relevant 250 English-language videos with durations between 3 and 30 min for final analyses. Following the eligibility criteria videos were evaluated for their demographic data, including number of views; number of likes, dislikes, and comments; days since upload; duration; and number of subscribers. Moreover, two assessors independently evaluated the quality and reliability of the included videos using the DISCERN and Video Information and Quality Index (VIQI) tools. Statistical analyses were performed using the Kruskal-Wallis test and Spearman correlation analysis (∝ = 0.05).

RESULTS

A total of 69 videos were included for profound analyses. The average DISCERN and VIQI scores were 35.04 ± 6.3 and 14.18 ± 2.46, with 53 videos categorized as "poor" quality using the DISCERN tool. A Spearman rank correlation analysis presented a strong agreement between the DISCERN and VIQI scores (r = .753; p < .001). Nevertheless, based on different sources of upload, no statistically significant differences were reported for video demographics, interaction index, and DISCERN and VIQI scores.

CONCLUSIONS

Although YouTube videos on peri-implant diseases and conditions present accurate preliminary information, their reliability still remains uncertain. Hence, we urge respective policymakers to recognize, endorse and produce high-quality videos for accurate information dissemination.

Professional Social Media Use Among Orthopedic and Trauma Surgeons in Germany: Cross-Sectional Questionnaire-Based Study

BACKGROUND

Social media (SM) has been recognized as a professional communication tool in the field of orthopedic and trauma surgery that can enhance communication with patients and peers, and increase the visibility of research and offered services. The specific purposes of professional SM use and the benefits and concerns among orthopedic and trauma surgeons, however, remain unexplored.

OBJECTIVE

This study aims to demonstrate the specific uses of different SM platforms among orthopedic and trauma surgeons in Germany as well as the advantages and concerns.

METHODS

A web-based questionnaire was developed on the use of SM in a professional context by considering the current literature and the authors' topics of interest. The final questionnaire consisted of 33 questions and was distributed among German orthopedic and trauma surgeons via the mail distributor of the Berufsverband für Orthopädie und Unfallchirurgie (Professional Association of Orthopaedic Surgeons in Germany). The study was conducted between June and July 2022. A subgroup analysis was performed for sex (male vs female), age (<60 years vs ≥60 years), and type of workplace (practice vs hospital).

RESULTS

A total of 208 participants answered the questionnaire (male: n=166, 79.8%; younger than 60 years: n=146, 70.2%). In total, all of the participants stated that they use SM for professional purposes. In contrast, the stated specific uses of SM were low. Overall, the most used platforms were employment-oriented SM, messenger apps, and Facebook. Instagram emerged as a popular choice among female participants and participants working in hospital settings. The highest specific use of SM was for professional networking, followed by receiving and sharing health-related information. The lowest specific use was for education and the acquisition of patients. Conventional websites occupied a dominating position, exceeding the use of SM across all specific uses. The key benefit of SM was professional networking. Under 50% of the participants stated that SM could be used to enhance communication with their patients, keep up-to-date, or increase their professional visibility. In total, 65.5% (112/171) of participants stated that SM use was time-consuming, 43.9% (76/173) stated that they lacked application knowledge, and 45.1% (78/173) stated that they did not know what content to post. Additionally, 52.9% (91/172) mentioned medicolegal concerns.

CONCLUSIONS

Overall, SM did not seem to be used actively in the professional context among orthopedic and trauma surgeons in Germany. The stated advantages were low, while the stated concerns were high. Adequate education and information material are needed to elucidate the possible professional applications of SM and to address legal concerns.

An Analysis of Male Plastic Surgery Content on TikTok

BACKGROUND

TikTok is a powerful and popular source of patient education. However, the lack of content regulation raises concerns about the spread of medical misinformation.

OBJECTIVES

We aimed to analyze the source, content, quality, and reliability of TikTok posts focusing on surgical and nonsurgical cosmetic treatments for men.

METHODS

A search was conducted on TikTok with 16 popular hashtags related to male cosmetic procedures. The top 25 male-focused videos from each hashtag were chosen for analysis. Videos were categorized by content creator, video type, and descriptive metrics. Educational videos were evaluated for quality with the validated modified DISCERN (mDISCERN) score and the Patient Education Materials Assessment Tool (PEMAT) scale. Statistical analysis was performed with univariate and linear regression models.

RESULTS

The included 399 videos totaled 389 million views, 16.4 million likes, 174,594 comments, and 586,743 shares. Most videos were uploaded by plastic and reconstructive surgeons (38.3%). A significant number (38%) of videos by physicians were posted by international physicians, with videos by United States physicians receiving fewer views, comments, and shares than videos posted by international physicians. Patient experience was the most common video category (48.9%). Educational videos had low overall quality, with physician-created videos demonstrating higher DISCERN and PEMAT scores but lower engagement compared to nonphysician videos.

CONCLUSIONS

The quality of TikTok videos on male cosmetic surgery was generally low, emphasizing the importance of accurate information dissemination by physicians on social media. The strong presence of international physicians highlights the potential implications of social media on medical tourism.

Toward Fairness, Accountability, Transparency, and Ethics in AI for Social Media and Health Care: Scoping Review

BACKGROUND

The use of social media for disseminating health care information has become increasingly prevalent, making the expanding role of artificial intelligence (AI) and machine learning in this process both significant and inevitable. This development raises numerous ethical concerns. This study explored the ethical use of AI and machine learning in the context of health care information on social media platforms (SMPs). It critically examined these technologies from the perspectives of fairness, accountability, transparency, and ethics (FATE), emphasizing computational and methodological approaches that ensure their responsible application.

OBJECTIVE

This study aims to identify, compare, and synthesize existing solutions that address the components of FATE in AI applications in health care on SMPs. Through an in-depth exploration of computational methods, approaches, and evaluation metrics used in various initiatives, we sought to elucidate the current state of the art and identify existing gaps. Furthermore, we assessed the strength of the evidence supporting each identified solution and discussed the implications of our findings for future research and practice. In doing so, we made a unique contribution to the field by highlighting areas that require further exploration and innovation.

METHODS

Our research methodology involved a comprehensive literature search across PubMed, Web of Science, and Google Scholar. We used strategic searches through specific filters to identify relevant research papers published since 2012 focusing on the intersection and union of different literature sets. The inclusion criteria were centered on studies that primarily addressed FATE in health care discussions on SMPs; those presenting empirical results; and those covering definitions, computational methods, approaches, and evaluation metrics.

RESULTS

Our findings present a nuanced breakdown of the FATE principles, aligning them where applicable with the American Medical Informatics Association ethical guidelines. By dividing these principles into dedicated sections, we detailed specific computational methods and conceptual approaches tailored to enforcing FATE in AI-driven health care on SMPs. This segmentation facilitated a deeper understanding of the intricate relationship among the FATE principles and highlighted the practical challenges encountered in their application. It underscored the pioneering contributions of our study to the discourse on ethical AI in health care on SMPs, emphasizing the complex interplay and the limitations faced in implementing these principles effectively.

CONCLUSIONS

Despite the existence of diverse approaches and metrics to address FATE issues in AI for health care on SMPs, challenges persist. The application of these approaches often intersects with additional ethical considerations, occasionally leading to conflicts. Our review highlights the lack of a unified, comprehensive solution for fully and effectively integrating FATE principles in this domain. This gap necessitates careful consideration of the ethical trade-offs involved in deploying existing methods and underscores the need for ongoing research.

Response Rate, Acceptability and Effectiveness of an Intervention Offering HIV/STI Testing Via Apps Among Gay, Bisexual, and Other Men Who Have Sex With Men in Barcelona, Spain, from 2016 to 2020

We evaluated the response rate, acceptability, and effectiveness of a preventive programme offering rapid HIV and other STI testing, as well as sexual counselling to gay, bisexual, and other men who have sex with men (GBMSM) via dating apps over a 4-year period. The programme was carried out in 9 out of the 10 districts in the city of Barcelona, Spain. The response rate was defined as the proportion of people responding to the message sent, acceptability as the proportion of those responding favourably, and effectiveness as the proportion of users requesting a test. We performed univariate analysis and multivariate logistic regression in relation with the response rate, acceptability and effectiveness. A total of 5,254 messages were send to different users. The response rate was 33.1% (n = 1,741), acceptability was 86.2% (n = 1,500), and effectiveness was 10.1% (n = 532). The factors associated with user response were recent connection to the app (aOR = 1.85; CI:1.39-2.46) and the presence of a profile photograph (aOR = 1.34; CI:1.11-1.64). Acceptability was associated with recent connection to the app (aOR = 1.98; CI:1.09-3.58). Effectiveness was associated with lower reported age (aOR = 0.98; CI:0.97-0.99), contact before 14:00 (aOR = 2.47; CI: 1.77-3.46), and recent connection to the app (aOR = 4.89; CI:1.98-12.08). Effectiveness was also greater in districts that were more disadvantaged or had fewer sexual health services. This study demonstrates that the use of these apps is an acceptable and effective method of prevention and sexual health promotion in GBMSM in this setting and identifies the associated factors that could guide such interventions.

The Temperature Feature of ChatGPT: Modifying Creativity for Clinical Research

More clinicians and researchers are exploring uses for large language model chatbots, such as ChatGPT, for research, dissemination, and educational purposes. Therefore, it becomes increasingly relevant to consider the full potential of this tool, including the special features that are currently available through the application programming interface. One of these features is a variable called temperature, which changes the degree to which randomness is involved in the model's generated output. This is of particular interest to clinicians and researchers. By lowering this variable, one can generate more consistent outputs; by increasing it, one can receive more creative responses. For clinicians and researchers who are exploring these tools for a variety of tasks, the ability to tailor outputs to be less creative may be beneficial for work that demands consistency. Additionally, access to more creative text generation may enable scientific authors to describe their research in more general language and potentially connect with a broader public through social media. In this viewpoint, we present the temperature feature, discuss potential uses, and provide some examples.

Plastic Surgery or Facial Plastic Surgery: Can the Public Tell the Difference?

Background

Social media and online advertising are increasingly used by plastic surgeons (PSs) to educate patients and obtain referrals, but it remains unclear whether the general public can distinguish the difference in training and accreditation among medical professionals advertising online. Our study elucidates the public's expectations regarding the distinction between plastic surgery and facial plastic surgery.

Methods

A survey was distributed via MTurk, an Amazon surveying service, to collect information about demographics and assumptions that would be made solely based on the terminology "facial PS" (FPS) and "PS." Participants were restricted to those residing in the United States.

Results

A total of 253 responses were collected. Based on the term FPS, respondents on average moderately to strongly agreed that they would expect an FPS to have completed a plastic and reconstructive surgery residency program (mean = 1.81; scale from 1= strongly agree to 5= strongly disagree) and would feel moderately to strongly misled if they visited an FPS for a consultation and later learned that the provider did not complete a plastic and reconstructive surgery residency (mean = 3.62; scale from 1 = not misled at all to 5 = extremely misled).

Conclusions

Despite increasing advocacy by professional societies and the member societies of the American Board of Medical Specialties, this study demonstrated that the lay public is unaware of factually different training and certification pathways given similarity in nomenclature. This study was notably not designed to draw conclusions or imply superiority of one specialty, certifying board, or training model over the other.

Professional use of social media platforms by independent dental hygienists in the Netherlands: A quantitative study

AIM

This study examines the prevalence of the professional use of social media platforms by independent DHs in the Netherlands and assesses the associated personal and demographic factors.

METHODS

In this exploratory, observational, cross-sectional study, independent DHs who were members of the Dutch Dental Hygienist Association (Nederlandse Vereniging voor Mondhygiënisten: NVM) were included. Data were collected from the DH practices' websites. Statistics included frequency distributions, percentages, chi-square tests for the relationship between the parameters, and multiple logistic regression for the associations between social media use and the personal and demographic factors.

RESULTS

A total of 830 independent DHs from 670 different practices were included in the study. Of these DHs, 34.4% had a link to a social media platform on their website. DHs with practices in the west or south of the Netherlands were more likely to use Facebook (p = 0.035 and p = 0.002, respectively) than those in the east or north. The likelihood of DHs with 4 years of training using Facebook was 1.910 greater than those with 2 years of training (p = 0.002). Furthermore, DHs who graduated in Utrecht were more likely to use Instagram (p < 0.001).

CONCLUSION

Over a third of the independent DHs in the Netherlands used social media for professional purposes. DHs who trained in Utrecht for 4 years and who had a practice in the west or south of the Netherlands were more likely to use social media for professional purposes.

The Future of Social Media, Anesthesiology, and the Perioperative Physician

Social media has rapidly developed in the past decade to become a powerful and influential force for patients, physicians, health systems, and the academic community. While the use of social media in health care has produced many positive changes, such as rapid dissemination of information, crowd-sourced sharing of knowledge, learning, and social interaction, social media in health care has also negative effects. Recent examples of negative impacts of social media include rapid and unchecked information dissemination leading to patient misinformation and inadvertent reputational harm for health care professionals due to engaging in controversial topics on public platforms. Members of the anesthesiology community, like other medical specialties, have rapidly adopted social media at many different levels. However, most anesthesiologists, health systems, and academic communities have little education, preparation, and guidelines on optimizing the use of social media technology while minimizing the risks of social media. Anesthesiology has been and will continue to be impacted by the forces of technology and the cultural influences of social media for the foreseeable future. The purpose of this article was to examine the recent history of social media adoption in anesthesiology and perioperative medicine, understand the current impact of social media across our specialty, and consider how the future development of technology and evolving social and cultural dynamic influences of social media will have on anesthesiology over the next quarter century.

Effectiveness of Twitter Threads to Improve Medical Student Electrocardiogram (ECG) Reading-Skills. The TwittUVa-ECG Non-Randomized Pre-Post Study

Introduction

social media is increasingly used in medical education, but its real educational effectiveness is unclear. In this study we assess the effectiveness of Twitter threads (TTS) in improving electrocardiogram (ECG) basic reading skills (ECGBRS).

Materials and Methods

Seven TTS describing ECGBRS were published from October 28, 2021, to November 24, 2021. Tests were used to assess medical students ECGBRS pre and post intervention. All third and sixth-year medical students were invited to participate. Sixty-three students were enrolled (33 third year and 30 sixth year). Nine (14.3%) participants dropped out.

Results

Sixth year medical students had higher ECGBRS at baseline. The number of correct items increased after the Twitter intervention; median correct pre-test items were 20 out of 56, (interquartile range (IQR) 14-23), and median post-test were 29 out of 56, (IQR 21-36) (p < 0.001). The improvement in sixth year students was greater than for third year students; 10 more correct items (IQR 4-14) vs. 7 (IQR 1-14) items (p = 0.045). The more TTS followed, the greater the improvement in ECGBRS (p = 0.004). The QRS axis calculation was the ECG reading skill with the lowest scores. Most medical students were definitely (35%) or very probably (46%) interested in repeating another on-line learning experience and found the TTS extremely (39%) or very (46%) interesting.

Conclusions

The use of specifically designed TTS was associated with improvement in medical students' interpretation of ECGs. The effectiveness of the threads was higher in the final years of medical school when basic skills had already been acquired.

Graphical Abstract

Supplementary Information

The online version contains supplementary material available at 10.1007/s40670-023-01885-x.

Hashtags in Plastic Surgery: A Sentiment Analysis of over 1 Million Tweets

BACKGROUND

Current literature has sparse recommendations that guide social networking practices in plastic surgery. To address this, we used natural language processing and sentiment analysis to investigate the differences in plastic surgery-related terms and hashtags on Twitter.

METHODS

Over 1 million tweets containing keywords #plasticsurgery, #cosmeticsurgery, and their non-hashtagged versions plastic surgery and cosmetic surgery were collected from the Twitter Gardenhose feed spanning from 2012 to 2016. We extracted the average happiness/positivity (h-avg) using hedonometrics and created word-shift graphs to determine influential words.

RESULTS

The most popular keywords were plastic and cosmetic surgery, comprising more than 90% of the sample. The positivity scores for plastic surgery, cosmetic surgery, #plasticsurgery, and #cosmeticsurgery were 5.72, 6.00, 6.17, and 6.18, respectively. Compared to plastic surgery, the term cosmetic surgery was more positive because it lacked antagonistic words, such as "fake," "ugly," "bad," "fails," and "wrong." For similar reasons, #plasticsurgery and #cosmeticsurgery were more positively associated than their non-hashtagged counterparts.

CONCLUSION

Plastic surgery-related hashtags are more positively associated than their non-hashtagged versions. The language associated with such hashtags suggests a different user profile than the public and, given their underutilization, remain viable channels for professionals to achieve their diverse social media goals.

LEVEL OF EVIDENCE V

This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Assessing ChatGPT's ability to answer questions pertaining to erectile dysfunction: can our patients trust it?

Erectile dysfunction (ED) is a disorder that can cause distress and shame for men suffering from it. Men with ED will often turn to online support and chat groups to ask intimate questions about their health. ChatGPT is an artificial intelligence (AI)-based software that has been trained to engage in conversation with human input. We sought to assess the accuracy, readability, and reproducibility of ChatGPT's responses to frequently asked questions regarding the diagnosis, management, and care of patients with ED. Questions pertaining to ED were derived from clinic encounters with patients as well as online chat forums. These were entered into the free ChatGPT version 3.5 during the month of August 2023. Questions were asked on two separate days from unique accounts and computers to prevent the software from memorizing responses linked to a specific user. A total of 35 questions were asked. Outcomes measured were accuracy using grading from board certified urologists, readability with the Gunning Fog Index, and reproducibility by comparing responses between days. For epidemiology of disease, the percentage of responses that were graded as "comprehensive" or "correct but inadequate" was 100% across both days. There was fair reproducibility and median readability of 15.9 (IQR 2.5). For treatment and prevention, the percentage of responses that were graded as "comprehensive" or "correct but inadequate" was 78.9%. There was poor reproducibility of responses with a median readability of 14.5 (IQR 4.0). Risks of treatment and counseling both had 100% of questions graded as "comprehensive" or "correct but inadequate." The readability score for risks of treatment was median 13.9 (IQR 1.1) and for counseling median 13.8 (IQR 0.5), with good reproducibility for both question domains. ChatGPT provides accurate answers to common patient questions pertaining to ED, although its understanding of treatment options is incomplete and responses are at a reading level too advanced for the average patient.

From Nanobots to Neural Networks: Multifaceted Revolution of Artificial Intelligence in Surgical Medicine and Therapeutics

This comprehensive exploration unveils the transformative potential of Artificial Intelligence (AI) within medicine and surgery. Through a meticulous journey, we examine AI's current applications in healthcare, including medical diagnostics, surgical procedures, and advanced therapeutics. Delving into the theoretical foundations of AI, encompassing machine learning, deep learning, and Natural Language Processing (NLP), we illuminate the critical underpinnings supporting AI's integration into healthcare. Highlighting the symbiotic relationship between humans and machines, we emphasize how AI augments clinical capabilities without supplanting the irreplaceable human touch in healthcare delivery. Also, we'd like to briefly mention critical findings and takeaways they can expect to encounter in the article. A thoughtful analysis of the economic, societal, and ethical implications of AI's integration into healthcare underscores our commitment to addressing critical issues, such as data privacy, algorithmic transparency, and equitable access to AI-driven healthcare services. As we contemplate the future landscape, we project an exciting vista where more sophisticated AI algorithms and real-time surgical visualizations redefine the boundaries of medical achievement. While acknowledging the limitations of the present research, we shed light on AI's pivotal role in enhancing patient engagement, education, and data security within the burgeoning realm of AI-driven healthcare.

The Rise of Online Medical Education in Craniofacial Surgery

BACKGROUND

International travel had been radically disrupted by coronavirus disease 2019 (COVID-19), leaving traditional medical conferences on a 2-year hiatus. The International Craniofacial Chang Gung Group (ICC) was thus created to disseminate knowledge related to craniofacial surgery. This study aimed to reveal how webinars fundamentally transformed the traditional format of medical conferences.

MATERIALS AND METHOD

In total, 64 ICC webinars held between December 13, 2020, and May 21, 2023, were documented and reviewed. A questionnaire was designed and sent to ICC members. The questionnaire collected information on attitudes and habits relating to videoconferencing in general before and after the start of COVID-19 and on the ICC webinars specifically. Responses were analyzed to inform our understanding of respondents' experience and satisfaction with the webinars.

RESULTS

The webinars covered a variety of topics related to craniofacial surgery. In total, 64 webinars were included for analysis. The mean number of attendees at each webinar was 86.7. In total, 111 respondents were more satisfied (4.25 ± 0.72 out of 5) with ICC webinars than with other media of online meetings ( P < 0.001). In total, 89.2% of respondents were willing to continue attending ICC webinars after COVID-19 restrictions have been lifted.

CONCLUSIONS

Webinars are an effective format for imparting knowledge, especially in the ICC, and will become key in continuing medical education.

Social media use among French spine surgeons: an underrated tool?

PURPOSE

The goal of this study was to determine the use of social media (SM) among the French spine surgeons.

METHODS

In 2022, an online questionnaire has been sent to the community of French spine surgeons. All surgeons were asked to answer a 21-question survey about their use of SM in their daily practice.

RESULTS

Eighty-five surgeons were included, with 80% claiming to use SM. Mean age was 45 ± 10.7. Usage rate significantly differed among experience categories: 85% of younger surgeons and 69% after ten years of experience (p = 0.01). LinkedIn was the most commonly used (78% among SM users), then Facebook (46%). Instagram was less used by most experienced surgeons (p = 0.01). Time spent on SM was more important at home (p < 0.01). About 31% of participants' patients were able to contact their surgeon through SM, mainly through LinkedIn, professional websites and Facebook (respectively 15%, 13% and 12%). Pictural data were shared on SM by 29% of SM users, mainly on LinkedIn (19%), then professional websites (12%). Google reviews were significantly less valued by most experienced surgeons (p = 0.01) but more valued by private practice surgeons (p = 0.009).

CONCLUSION

80% of French spine surgeons use social media for professional purposes. However, SM may not be used to its full potential as only 25% of SM-using broadcast pictures and contact their patients through SM. The most popular network is LinkedIn, followed by Facebook. Most experienced surgeons use less SM, particularly Instagram, and value less Google reviews.

How Likes and Retweets Impacted Our Patients During the COVID-19 Pandemic

The growing dependence on social media for health-related information boomed during the COVID-19 pandemic, posing unprecedented challenges in navigating the vast amounts of information available right at our fingertips. Social media had a major impact on clinical decision-making affecting individuals, communities, and societies at large. In this review, we discuss the role of social media in amplifying information and misinformation as well as factors contributing to its reliance and prevalence. We review how medical providers have been impacted by this changing landscape, useful communication strategies to employ with in-office patient encounters, and how we can be active players in using social media as a tool for health promotion, correcting misinformation, and preparing for future pandemics.

More than a hundred thousand respondents within 48 h: How the power of social media helped to understand pregnancy loss in Poland - A retrospective population-based cohort study

BACKGROUND

Miscarriage is defined as the loss of pregnancy before 20-24 weeks of gestation, and it is the most common complication of early pregnancy. The aim of the study was to determine the prevalence and risk factors of spontaneous abortion in the population of Polish females to provide a reference for clinical work.

METHODS

A cross-sectional self-administered on-line survey was distributed between 4th and 5th of October 2019 in the social media across Poland. A total of 100,026 recipients responded to the questionnaire and 93,636 valid respondents were included in the analyses.

RESULTS

Among respondents who had ever been pregnant, 31.2% reported at least one spontaneous abortion. The prevalence of miscarriage varied based on age, parity, place of residence and the education level. The first symptom of miscarriage was a vaginal bleeding (56.2%) and abdominal cramps (25.8%), while 43% of respondents had no symptoms and found out during doctor's visit. No medical assistance was required after complete spontaneous abortion in 39.2% of cases.

CONCLUSIONS

Miscarriage is a common complication of pregnancy, but it is not yet fully understood. The goal of future medicine is to minimize the medicalization of spontaneous abortion and excessive medical intervention by raising awareness about natural miscarriage route.

Emirati Adolescents' and Young Adults' Usage of Social Media for Health Information

During the COVID-19 pandemic and in the years after, adolescents' and young adults' (AYAs) usage of social media increased. Social media has been shown to influence both the physical and mental behaviour of AYAs. The Emirates' AYAs are among the world's heaviest consumers of social media. This study aims to explore the usage of social media networks by AYAs for sharing and looking up health information, as well as interacting with local health systems, with a special focus on doctors and social media. This cross-sectional, descriptive study was used to collect comprehensive data from Arabic- and English-speaking Emirati students in grades 7 through 12 and university students between the months of December 2022 and April 2023. A total of 876 out of 930 responses were included. Of the responses, 27.71% were university students, with another 46.46% in grades 11 and 12. Three-fourths had a hospital or clinic visit in the last 6 months and 79.11% had good health perception. Smartphones were the most commonly used devices, at 92.12%. A total of 74.7% reported being able to obtain useful health information, with 40% having had a health decision influenced by it. Posting information on social media was not common, with only 32% posting such content (most commonly mood-related). Health information on social media by health authorities was considered the most trustworthy, with celebrities being the least trustworthy. More than half of AYAs searched for a physician before a visit, and the majority would not mind having a rash picture being posted on a public website if consent (verbal or written) was taken. Social media can influence the various health decisions an AYA might take and which doctors they might choose to see. Physicians should consider their presence and the content they present on social media carefully.

Ethical and Information Governance Considerations for Promoting Digital Social Interventions in Primary Care

Promoting online peer support beyond the informal sector to statutory health services requires ethical considerations and evidence-based knowledge about its impact on patients, health care professionals, and the wider health care system. Evidence on the effectiveness of digital interventions in primary care is sparse, and definitive guidance is lacking on the ethical concerns arising from the use of social media as a means for health-related interventions and research. Existing literature examining ethical issues with digital interventions in health care mainly focuses on apps, electronic health records, wearables, and telephone or video consultations, without necessarily covering digital social interventions, and does not always account for primary care settings specifically. Here we address the ethical and information governance aspects of undertaking research on the promotion of online peer support to patients by primary care clinicians, related to medical and public health ethics.

Social Media Use Among Orthopedic and Trauma Surgeons in Germany: Cross-Sectional Survey Study

BACKGROUND

Social media (SM) has gained importance in the health care sector as a means of communication and a source of information for physicians and patients. However, the scope of professional SM use by orthopedic and trauma surgeons remains largely unknown.

OBJECTIVE

This study presents an overview of professional SM use among orthopedic and trauma surgeons in Germany in terms of the platforms used, frequency of use, and SM content management.

METHODS

We developed a web-based questionnaire with 33 variables and 2 separate sections based on a review of current literature. This study analyzed the first section of the questionnaire and included questions on demographics, type of SM used, frequency of use, and SM content management. Statistical analysis was performed using SPSS (version 26.0). Subgroup analysis was performed for sex, age groups (<60 years vs ≥60 years), and type of workplace (practice vs hospital). Differences between groups were assessed with a chi-square test for categorical data.

RESULTS

A total of 208 participants answered the questionnaire (166/208, 79.8% male), of whom 70.2% (146/208) were younger than 60 years and 77.4% (161/208) worked in a practice. All participants stated that they use SM for private and professional purposes. On average, participants used 1.6 SM platforms for professional purposes. More than half had separate SM accounts for private and professional use. The most frequently used SM platforms were messenger apps (119/200, 59.5%), employment-oriented SM (60/200, 30%), and YouTube (54/200, 27%). All other SM, including Facebook and Instagram, were only used by a minority of the participants. Women and younger participants were more likely to use Instagram (P<.001 and P=.03, respectively). The participants working in a hospital were more likely to use employment-oriented SM (P=.02) and messenger apps (P=.009) than participants working in a practice. In a professional context, 20.2% (39/193) of the participants produced their own content on SM, 24.9% (48/193) used SM daily, 39.9% (77/193) used SM during work, and 13.8% (26/188) stated that they checked the number of followers they had. Younger participants were more likely to have participated in professional SM training and to have separate private and professional accounts (P=.04 and P=.02, respectively). Younger participants tended toward increased production of their own content (P=.06).

CONCLUSIONS

SM is commonly used for professional purposes by orthopedic and trauma surgeons in Germany. However, it seems that professional SM use is not exploited to its full potential, and a structured implementation into daily professional work routines is still lacking. SM can have a profound impact on medical practices and communication, so orthopedic and trauma surgeons in Germany should consider increasing their SM presence by actively contributing to SM.

Professional Social Media in Facial Plastic and Reconstructive Surgery: Usage, Resources, and Barriers

BACKGROUND

Social media is an important tool for networking, recruitment, and promoting clinical practice. No study has specifically assessed which FPRS practitioners have professional social media accounts, how they utilize them, and what barriers or resources exist to their use.

OBJECTIVES

This study aims to examine differences in social media use based on provider demographics and practice setting, and identify resources and barriers to professional social media use.

METHODS

This cross-sectional analysis was an anonymous survey sent to AAFPRS members. Data collected included demographics, practice setting, resources, and barriers encountered to use of professional social media.

RESULTS

Most facial plastic surgeons (80%) use professional social media, notably Instagram and Facebook, and mostly post patient photos and stories (67.9%). Social media is more commonly utilized in private practice (56% vs 23%, P = .0016), where there are less institutional barriers (10% vs 40%, P = .02) and more resources available (82.5% vs 12.5%, P = .01).

CONCLUSIONS

Social media is widely used in FPRS. Working in private practice is associated with increased availability of resources for support, and a reduction in institutional barriers to maintaining a social media presence. With this understanding, facial plastic surgeons can be better equipped for networking, marketing, and promoting the field of FPRS.

Importance of oral health in mental health disorders: An updated review

Background

Mental disorders are indeed an expanding threat, which requires raised awareness, education, prevention, and treatment initiatives nationally and globally. This review presents an updated review on the relationships between oral health and mental health disorders and the importance of oral health in mental health disorders.

Method

A literature search was done regarding mental disorders and oral health approaches in Google Scholar and PubMed from the year 1995 until 2023. All the English-language papers were evaluated based on the inclusion criteria. Publications included original research papers, review articles and book chapters.

Results

Common mental disorders include depression, anxiety, bipolar disorder, Schizophrenia, dementia, and alcohol and drug use disorders. The interplay of oral health and mental disorders involves dysregulated microbiome, translocated bacteria, and systemic inflammation, among others.

Conclusion

There is a complex relationship between mental disorders and oral diseases. Various oral health problems are associated with mental health problems. The interplay of oral health and mental disorders involves dysregulated microbiome, translocated bacteria, and systemic inflammation, among others. Mental health nurses including physicians and dental professionals should be involved in the oral health care of mental health disorder patients. Therefore, multidisciplinary should be involved in the care of mental health disorders, and they should consider oral health care as an essential part of their care for patients with mental health disorders. Future investigations should strive to elucidate the exact biological relationships, to develop new directions for treatment.

An Analysis of Cosmetic Facial Injectable Treatment Content on TikTok

BACKGROUND

TikTok is a powerful and popular source of patient education. However, the lack of content regulation allows for the potential spread of medical misinformation.

OBJECTIVES

The aim of this study was to analyze the source, content, quality, and reliability of TikTok posts regarding nonsurgical cosmetic facial injectable treatments, including Botox and fillers.

METHODS

The TikTok application was queried with 14 popular hashtags related to nonsurgical facial injectable treatments. The top 25 search result videos from each hashtag were included in the analysis. Videos were categorized based on content creator, video type, and descriptive metrics collected for each result. Educational videos were further analyzed for content quality with the validated modified DISCERN score and the Patient Education Materials Assessment Tool (PEMAT) scales. Univariate and linear regression models were utilized for content analysis between groups.

RESULTS

The included 340 videos totaled 306,552,644 views; 22,715,689 likes; 220,072 comments; and 352,614 shares. Most videos were uploaded by nonphysician healthcare providers (n = 126, 37.1%), and patient experience (n = 130, 38.2%) was the most common video category. Healthcare team content creators had significantly lower median views, likes, comments, shares, and engagement when compared to non-healthcare team content (P < .001). DISCERN scores for information reliability were significantly higher in physician-created videos than nonphysician and nonphysician healthcare provider created videos (2 vs 1.5, P < .001, 2 vs 1.5 P = .001, respectively).

CONCLUSIONS

The overall quality of TikTok videos regarding nonsurgical cosmetic facial injectable treatments was low, which may stem from a lack of content from physician content creators.

Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models

The present research deals with sentiment analysis performed with Microsoft Azure Machine Learning Studio to classify Facebook posts on the Greek National Public Health Organization (EODY) from November 2021 to January 2022 during the pandemic. Positive, negative and neutral sentiments were included after processing 300 reviews. This approach involved analyzing the words appearing in the comments and exploring the sentiments related to daily surveillance reports of COVID-19 published on the EODY Facebook page. Moreover, machine learning algorithms were implemented to predict the classification of sentiments. This research assesses the efficiency of a few popular machine learning models, which is one of the initial efforts in Greece in this domain. People have negative sentiments toward COVID surveillance reports. Words with the highest frequency of occurrence include government, vaccinated people, unvaccinated, telephone communication, health measures, virus, COVID-19 rapid/molecular tests, and of course, COVID-19. The experimental results disclose additionally that two classifiers, namely two class Neural Network and two class Bayes Point Machine, achieved high sentiment analysis accuracy and F1 score, particularly 87% and over 35%. A significant limitation of this study may be the need for more comparison with other research attempts that identified the sentiments of the EODY surveillance reports of COVID in Greece. Machine learning models can provide critical information combating public health hazards and enrich communication strategies and proactive actions in public health issues and opinion management during the COVID-19 pandemic.

A Scoping Review of Physician Advocacy on Twitter

Twitter has been adopted by physicians across most medical specialties; it allows for the wide dissemination of information and calls to action, brings new stakeholders into collations, promotes academic engagement, and fosters collaboration between academia and private practice. In this review of the literature, we briefly outline the state of advocacy in health care and summarize current Twitter-based advocacy efforts in the major specialties of health care, identifying both successful strategies as well as gaps in Twitter advocacy research. Relevant articles were obtained via PubMed and Google Scholar searches using the phrases "Twitter advocacy healthcare," "[specialty name] Twitter" and "[specialty name] Twitter advocacy." Several overarching themes were found to be widely utilized in specialty-specific discussions of Twitter advocacy efforts: organizing under a specific hashtag, fostering dialogue between stakeholders, and tweeting using personalized, action-oriented language. Fields such as pediatrics, heme/onc, ENT, and ophthalmology have most thoroughly embraced the desire to learn how to most effectively advocate on Twitter. Other fields such as OBGYN, cardiology, and surgery have less academic focus on online advocacy. Outside of advocacy efforts, the research and academic benefits of Twitter are well described in nearly every specialty. In conclusion, while clinicians are encouraged to advocate online, only broad strategies for online engagement are currently offered. Additional research into the details of how to successfully create an online profile and Twitter presence is needed to ensure all physicians are able to maximize their advocacy efforts, with clarification of the goals and objectives of this engagement also required.

Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review

BACKGROUND

Given the rapid development of social media, effective extraction and analysis of the contents of social media for health care have attracted widespread attention from health care providers. As far as we know, most of the reviews focus on the application of social media, and there is a lack of reviews that integrate the methods for analyzing social media information for health care.

OBJECTIVE

This scoping review aims to answer the following 4 questions: (1) What types of research have been used to investigate social media for health care, (2) what methods have been used to analyze the existing health information on social media, (3) what indicators should be applied to collect and evaluate the characteristics of methods for analyzing the contents of social media for health care, and (4) what are the current problems and development directions of methods used to analyze the contents of social media for health care?

METHODS

A scoping review following Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines was conducted. We searched PubMed, the Web of Science, EMBASE, the Cumulative Index to Nursing and Allied Health Literature, and the Cochrane Library for the period from 2010 to May 2023 for primary studies focusing on social media and health care. Two independent reviewers screened eligible studies against inclusion criteria. A narrative synthesis of the included studies was conducted.

RESULTS

Of 16,161 identified citations, 134 (0.8%) studies were included in this review. These included 67 (50.0%) qualitative designs, 43 (32.1%) quantitative designs, and 24 (17.9%) mixed methods designs. The applied research methods were classified based on the following aspects: (1) manual analysis methods (content analysis methodology, grounded theory, ethnography, classification analysis, thematic analysis, and scoring tables) and computer-aided analysis methods (latent Dirichlet allocation, support vector machine, probabilistic clustering, image analysis, topic modeling, sentiment analysis, and other natural language processing technologies), (2) categories of research contents, and (3) health care areas (health practice, health services, and health education).

CONCLUSIONS

Based on an extensive literature review, we investigated the methods for analyzing the contents of social media for health care to determine the main applications, differences, trends, and existing problems. We also discussed the implications for the future. Traditional content analysis is still the mainstream method for analyzing social media content, and future research may be combined with big data research. With the progress of computers, mobile phones, smartwatches, and other smart devices, social media information sources will become more diversified. Future research can combine new sources, such as pictures, videos, and physiological signals, with online social networking to adapt to the development trend of the internet. More medical information talents need to be trained in the future to better solve the problem of network information analysis. Overall, this scoping review can be useful for a large audience that includes researchers entering the field.

[Evaluation of the Dunning Kruger effect in relation to vaccination: a study of messages on the social network LinkedIn.]

OBJECTIVE

The Dunning-Kruger effect refers to an excess of confidence regarding one's abilities and knowledge; trust leads to transmitting information in an assertive manner, regardless of its validity or veracity, of experts, but of great impact on public opinion. This study evaluated the existence of the Dunning-Kruger effect in messages related to vaccination against COVID-19 on LinkedIn.

METHODS

448 messages were evaluated and the authors' knowledge and training on the subject were related. In the statistical treatment, the Chi-square test was performed to determine if there is a significant association between the variables, establishing the level of significance at P<0.05. These procedures were carried out using SPSS statistical software.

RESULTS

448 messages were analyzed. Of these, 153 reflected very high certainty, 115 medium certainty, 107 low certainty and 73 reflected doubts. The group that issued the most messages with absolute certainty (41.8%) was the group with minimal knowledge about COVID-19. Of this group without knowledge on the subject, only 7.1% expressed messages without expressing certainty. The group with very high knowledge on the subject was more likely to reflect uncertainty, communicating 15.7% of the messages with absolute certainty and 37.1% with zero certainty.

CONCLUSIONS

It is obtained that those people with less knowledge express their messages more assertively and present less acceptance of the COVID-19 vaccine in their speeches. The presence of the Dunning-Kruger effect in relation to COVID-19 vaccination is demonstrated.

Description of the Novel Networking, Open Discussion, Engagement, and Self-Promotion (NODES) Framework for the Advancement of Women Physicians on Social Media

The Networking, Open Discussion, Engagement, and Self-Promotion (NODES) framework is a strategy that women in medicine can deploy at conferences to broaden their professional networks and engage with colleagues. The NODES framework was designed and implemented for use at the Women in Medicine Summit, an annual conference that unites women to combat gender inequality in medicine. Intentional use of social media at conferences using the NODES framework by women in medicine can increase the visibility of research projects and may lead to speaking engagements and awards.

#MedEd: Mapping the Current Landscape of Medical Education Discourse and Stakeholder Participation Across Social Media Platforms

Background Medical education is a constantly evolving and multifaceted field that requires ongoing discussion and innovation. Social media platforms have emerged as a popular medium for disseminating information and engaging in professional discourse among medical educators. In particular, the hashtag #MedEd has gained widespread recognition amongst individuals and organizations within the medical education community. Our objective is to gain insights into the types of information and discussions surrounding medical education, as well as the individuals or organizations involved in these conversations. Methods Searches were conducted across major social media platforms, including Twitter, Instagram, and Facebook, using the hashtag #MedEd. The top 20 posts posted on these platforms were analyzed through a reflexive thematic analysis approach utilizing the Braun and Clarke method. Furthermore, an examination was conducted on the profiles of those responsible for posting the aforementioned top posts, to ascertain the degree of participation from individuals versus organizations within the broader discourse pertaining to the topic. Results Our analysis revealed three thematic categories associated with the usage of the #MedEd hashtag, including discussions on "continuous learning and medical case presentations," "medical specialties and topics," and "medical education pedagogy." The analysis revealed that social media can serve as a valuable platform for medical education by providing access to a diverse range of learning resources, fostering collaboration and professional networking, and providing innovative teaching methods. Furthermore, profile analysis showed that individuals were more actively involved in the discussion of medical education topics on social media compared to organizations across all three platforms. Conclusion Our study highlights the significant role that social media platforms play in facilitating the exchange of information and ideas within the medical education community. The hashtag #MedEd serves as a means of connecting individuals and organizations across the globe, enabling them to engage in professional discourse and stay informed on the latest developments in the field. Our findings suggest that a better understanding of the thematic categories and stakeholders involved in medical education discussions on social media can aid educators, learners, and organizations in enhancing their engagement with this dynamic field.

Use of Social Media in Stroke: A Systematic Review

Background

Stroke is a leading cause of death and disability globally. Over the last decade, digital health and related technology has emerged as a useful adjunct in the management of persons with stroke, particularly with the development of a large number of mobile phone applications dedicated to various aspects of stroke. However, whether social media can provide similar key support in stroke is an intriguing question. In this systematic review, we aimed to the scope and limits of social media platforms in care and research pertinent to persons with stroke.

Methods

PubMed database was searched using Medical Subject Headings terms and exploded keywords. The search retrieved 556 abstracts, which were screened by two reviewers. Of these, 14 studies met the review inclusion criteria. Given the small number of studies and heterogeneity of outcomes, quantitative analysis was not possible. The review was registered on PROSPERO (CRD42022324384).

Results

The social media platforms employed by the included studies comprised YouTube (n = 5), Twitter (n = 5), Facebook (n = 2), both Twitter and Facebook (n = 1), and WhatsApp (n = 1). Four assessed quality and accuracy of videos on YouTube available for stoke patients and caregivers. Three used social media to research link between role of gender and stroke descriptors on social media platforms, and one studied Twitter-derived racial/ethnic perceptual construction on the occurrence of cardiovascular disease. Three studies described use of social media by stroke survivors, in post-stroke care and engagement. 11 studies were assessed to be of "fair" quality and three were assessed to be of "poor" quality.

Conclusions

Limited preliminary data of low quality indicates that social media is used by persons with stroke and their caregivers, and may be harnessed as a tool of education and research. Future studies must address the current lack of high-quality evidence for the use of social media in stroke care.

Social media analytics and their applications to evaluate an activity in online health interventions using CRITIC and TOPSIS techniques

The usage of social media is increasing by leaps and bounds in our day-to-day lives. It affects daily routines and brings a lot of change in different departments like health and education systems during the COVID-19 pandemic. Healthcare research and practice have been significantly impacted by the astounding growth of social media. Social media are changing health information management in several ways, from offering appropriate ways to enhance healthcare professional contact and share health-related knowledge and experience to facilitating the development of innovative medical research and wisdom. Social media analytics (SMAs) are efficient and effective interaction instruments that can be useful for both patients and clinicians in health interventions. Moreover, a significant portion of those involved in clinical practices (such as clinicians, professional colleges, and departments of health) are unaware of the importance of social media, its potential applications in their daily lives, as well as the possible consequences and how these will be handled. In the presented study, we proposed MCDM-based approaches known as "Criteria Importance Through Inter Correlation" (CRITIC) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) in order to identify the effective alternative among several options and make a better decision. After extracting features from the literature review, we choose six significant and relevant features and assign weights to them using CRITIC techniques while utilizing the TOPSIS technique to rank the alternatives based on their performance values. After the implementation of both methods and evaluation procedure, it is determined that the alternative with the highest score is placed at the top and called the "best alternative," while the alternative with the lowest score is placed at the bottom and called the worst alternative. Finally, we suggest a variety of research initiatives and new research areas where the aforementioned procedures become extremely useful in evaluating SMAs and their uses in online health interventions.

Optimizing Clinical Workflow Using Precision Medicine and Advanced Data Analytics

Precision medicine—of which precision prescribing is a core component—is becoming a new frontier in today’s healthcare. Both artificial intelligence (AI) and machine learning (ML) have the potential to enhance our understanding of data and therefore our ability to accurately diagnose and treat patients. By leveraging these technologies and processes, we can uncover associations between a person’s genomic makeup and their health, identify biomarkers associated with diseases, fine-tune patient selection for clinical trials, reduce costs, and accelerate drug discovery and vaccine development. Although real-world data pose challenges in terms of collection, representation, and missing or inaccurate data sets, the integration of precision medicine into healthcare is critical. Clearly, precision medicine can benefit from health information innovations that empower decision-making at the patient level. Healthcare fusion is an example of an innovative framework and process [K Zhai et al., 2022, pp. 179–192] [K Zhai et al. ECKM 2022, 20(3), pp. 179–192]. Data science and process improvement are also expected to play a role in resource planning and operational efficiency for optimal patient-centered care. Driving this transformation are advances in ‘omics’ technologies, digital devices, and imaging capabilities, along with an arsenal of powerful analytics tools working across a multitude of institutions and stakeholders. Encompassing this entire ecosystem, medicine will be evidence-based and driven by three key components: (1) Data curation through clinical diagnostics and behavioral apps that capture health and disease states; (2) Individualized solutions driven by advanced data analytics and personalized therapies; and (3) Business models that deliver value and incentivize growth. The aim of this paper is to present a novel conceptual framework to leverage AI and enhance information flow to serve the patient as per components one and two.

Social Media for Global Neurosurgery. Benefits and limitations of a groundbreaking approach to communication and education

Introduction

Social media have become ubiquitous and their role in medicine is quickly growing. They provide an open platform by which members share educational material, clinical experiences, and collaborate with educational equity.

Research question

To characterize the role of social media in neurosurgery, we analyzed metrics of the largest neurosurgical group (Neurosurgery Cocktail), collected relevant data about activities, impact and risks of this groundbreaking technology.

Material and methods

We extracted Facebook metrics from 60-day time sample, including users demographics and other platform-specific values such as active members and number of posts within 60 days. A quality assessment of the posted material (clinical case reports and second opinions) was obtained establishing four main quality-criteria: privacy violation; quality of imaging; clinical and follow up data.

Results

By December 2022, the group included 29.524 members (79.8% male), most (29%) between 35 and 44 years of age. Over 100 countries were represented. A total of 787 posts were published in 60 days with an average of 12.7 per day. In 173 clinical cases presented through the platform, some issue with privacy was recorded in 50.9%. The imaging was considered insufficient in 39.3%, clinical data in 53.8%; follow up data were missing in 60.7%.

Discussion and conclusion

The study provided a quantitative evaluation of impact, flaws and limitations of social medial for healthcare. Flaws were mostly data breach and insufficient quality of case reports. There are actions to correct these flaws that can be easily taken to provide a greater credibility and efficacy to the system.

Development of a COVID-19-Related Anti-Asian Tweet Data Set: Quantitative Study

BACKGROUND

Since the advent of the COVID-19 pandemic, individuals of Asian descent (colloquial usage prevalent in North America, where "Asian" is used to refer to people from East Asia, particularly China) have been the subject of stigma and hate speech in both offline and online communities. One of the major venues for encountering such unfair attacks is social networks, such as Twitter. As the research community seeks to understand, analyze, and implement detection techniques, high-quality data sets are becoming immensely important.

OBJECTIVE

In this study, we introduce a manually labeled data set of tweets containing anti-Asian stigmatizing content.

METHODS

We sampled over 668 million tweets posted on Twitter from January to July 2020 and used an iterative data construction approach that included 3 different stages of algorithm-driven data selection. Finally, we found volunteers who manually annotated the tweets by hand to arrive at a high-quality data set of tweets and a second, more sampled data set with higher-quality labels from multiple annotators. We presented this final high-quality Twitter data set on stigma toward Chinese people during the COVID-19 pandemic. The data set and instructions for labeling can be viewed in the Github repository. Furthermore, we implemented some state-of-the-art models to detect stigmatizing tweets to set initial benchmarks for our data set.

RESULTS

Our primary contributions are labeled data sets. Data Set v3.0 contained 11,263 tweets with primary labels (unknown/irrelevant, not-stigmatizing, stigmatizing-low, stigmatizing-medium, stigmatizing-high) and tweet subtopics (eg, wet market and eating habits, COVID-19 cases, bioweapon). Data Set v3.1 contained 4998 (44.4%) tweets randomly sampled from Data Set v3.0, where a second annotator labeled them only on the primary labels and then a third annotator resolved conflicts between the first and second annotators. To demonstrate the usefulness of our data set, preliminary experiments on the data set showed that the Bidirectional Encoder Representations from Transformers (BERT) model achieved the highest accuracy of 79% when detecting stigma on unseen data with traditional models, such as a support vector machine (SVM) performing at 73% accuracy.

CONCLUSIONS

Our data set can be used as a benchmark for further qualitative and quantitative research and analysis around the issue. It first reaffirms the existence and significance of widespread discrimination and stigma toward the Asian population worldwide. Moreover, our data set and subsequent arguments should assist other researchers from various domains, including psychologists, public policy authorities, and sociologists, to analyze the complex economic, political, historical, and cultural underlying roots of anti-Asian stigmatization and hateful behaviors. A manually annotated data set is of paramount importance for developing algorithms that can be used to detect stigma or problematic text, particularly on social media. We believe this contribution will help predict and subsequently design interventions that will significantly help reduce stigma, hate, and discrimination against marginalized populations during future crises like COVID-19.

Reddit Users' Questions and Concerns about Anesthesia

Background: Patients utilize social media in search of support networks. Reddit is one of the most popular social media sites and allows users to anonymously connect. Anesthesia patients are actively using Reddit to discuss their treatment options and experiences within the medical system. Methods: Posts published on an active Reddit forum on Anesthesia (i.e., /r/Anesthesia) were used. Big Query was used to collect posts from /r/Anesthesia. We collected 3,288 posts published between December 2015 and August 2019. We collected a control group of 3,288 posts from a Reddit forum not related to Anesthesia. Using latent Dirichlet allocation (LDA) we extracted 20 topics from our data set. The LDA topic themes most associated with posts in /r/Anesthesia compared to the control group were determined. Results: LDA analysis of posts in /r/Anesthesia relative to a control group produced 6 distinct categories of posts (Table 1). The posts most associated with /r/Anesthesia when compared to a control group were posts belonging to the “Physician-Patient Experience” category (Cohen’s d= 0.389) while the posts least associated with /r/Anesthesia were from the “Uncertainties” category of posts (Cohen’s d= 0.147). Example experiences from members of the /r/Anesthesia forum highlight subjective experiences of patients undergoing anesthesia. Conclusions: The language used on social media can provide insights into an individual's experience with anesthesia and inform physicians about patient concerns. Anesthesiologists are poised to address these concerns and prevent anonymous misinformation by providing verified physician insights on the forum /r/Anesthesia.

An Exploratory Study of Medical Journal's Twitter Use: Metadata, Networks, and Content Analyses

BACKGROUND

An increasing number of medical journals are using social media to promote themselves and communicate with their readers. However, little is known about how medical journals use Twitter and what their social media management strategies are.

OBJECTIVE

This study aimed to understand how medical journals use Twitter from a global standpoint. We conducted a broad, in-depth analysis of all the available Twitter accounts of medical journals indexed by major indexing services, with a particular focus on their social networks and content.

METHODS

The Twitter profiles and metadata of medical journals were analyzed along with the social networks on their Twitter accounts.

RESULTS

The results showed that overall, publishers used different strategies regarding Twitter adoption, Twitter use patterns, and their subsequent decisions. The following specific findings were noted: journals with Twitter accounts had a significantly higher number of publications and a greater impact than their counterparts; subscription journals had a slightly higher Twitter adoption rate (2%) than open access journals; journals with higher impact had more followers; and prestigious journals rarely followed other lesser-known journals on social media. In addition, an in-depth analysis of 2000 randomly selected tweets from 4 prestigious journals revealed that The Lancet had dedicated considerable effort to communicating with people about health information and fulfilling its social responsibility by organizing committees and activities to engage with a broad range of health-related issues; The New England Journal of Medicine and the Journal of the American Medical Association focused on promoting research articles and attempting to maximize the visibility of their research articles; and the British Medical Journal provided copious amounts of health information and discussed various health-related social problems to increase social awareness of the field of medicine.

CONCLUSIONS

Our study used various perspectives to investigate how medical journals use Twitter and explored the Twitter management strategies of 4 of the most prestigious journals. Our study provides a detailed understanding of medical journals' use of Twitter from various perspectives and can help publishers, journals, and researchers to better use Twitter for their respective purposes.

Social media in health communication: A literature review of information quality

BACKGROUND

Social media is used in health communication by individuals, health professionals, disease centres and other health regulatory bodies. However, varying degrees of information quality are churned out daily on social media. This review is concerned with the quality of Social Media Health Information (SMHI).

OBJECTIVE

The review sought to understand how SMHI quality issues have been framed and addressed in the literature. Health topics, users and social media platforms that have raised health information quality concerns are reviewed. The review also looked at the suitability of existing criteria and instruments used in evaluating SMHI and identified gaps for future research.

METHOD

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the forward chaining strategy were used in the document search. Data were sourced according to inclusion criteria from five academic databases, namely Scopus, Web of Science, Cochrane Library, PubMed and MEDLINE.

RESULTS

A total of 93 articles published between 2000 and 2019 were used in the review. The review revealed a worrying trend of health content and communication on social media, especially of cancer, dental care and diabetes information on YouTube. The review further discovered that the Journal of the American Medical Association, the DISCERN and the Health on the Net Foundation, which were designed before the advent of social media, continue to be used as quality evaluation instruments for SMHI, even though technical and user characteristics of social media differ from traditional portals such as websites.

CONCLUSION

The study synthesises varied opinions on SMHI quality in the literature and recommends that future research proposes quality evaluation criteria and instruments specifically for SMHI.

Social Media Evaluation of Seasonal and Geographic Trends of Corneal Ulcers in the United States

OBJECTIVES

The purpose of this study is to evaluate if social media and Google search data can identify seasonal and geographic trends in the incidence of corneal ulcers in the United States.

METHODS

This is a case series of all corneal ulcer-related data collected from two major social media platforms and Google trends from US users between 2017 and 2021. Instagram and Twitter were searched for posts and hashtags related to "corneal ulcer." Web and image search volume of "corneal ulcer" were collected from Google trends ( https://trends.google.com ). Data were compared between seasons, defined by 3-month intervals, and chi-square tests were used to determine the statistical significance.

RESULTS

One hundred and sixty-five individuals (79% female) and 164 individuals (79% female) posted personal new corneal ulcer diagnoses on Twitter and Instagram, respectively. Summer resulted in the highest number of both Twitter (34%, P =0.07) and Instagram (33%, P =0.68) posts. Summer was also the most popular season for Google web and image searches of "corneal ulcer" (search volume average of 58.4 and 41.2, P =0.74 and P =0.01, respectively, with 100 being peak popularity). Across all platforms, the South was the most represented (32% Twitter, 38% Instagram, 32% Google Web, and 33% Google Images).

CONCLUSIONS

Our results indicate that social media and Google trends may reflect seasonal and geographic patterns of corneal ulcer incidence in the United States. However, further study with increased power is needed.

Use of laryngeal mask for neonatal resuscitation in Brazil: A national survey

Background

The International Liaison Committee on Resuscitation suggests using the laryngeal mask airway (LMA) as an alternative to the face mask for performing positive pressure ventilation (PPV) in the delivery room in newborns ≥34 weeks. Because not much is known about the health professionals' familiarity in using LMA in Brazil, this study aimed to describe the health professionals' knowledge and practice of using LMA, who provide neonatal care in the country.

Methods

An online questionnaire containing 29 questions was sent to multi-healthcare professionals from different regions in the country through email and social media groups (WhatsApp®, Instagram®, Facebook®, ^and LinkedIn®). The participants anonymously answered the questions regarding their knowledge and expertise in using LMA to ventilate newborns in the delivery room.

Results

We obtained 749 responses from all the regions in Brazil, with 80% from health professionals working in public hospitals. Most respondents were neonatologists (73%) having > 15 years of clinical practice. Among the respondents, 92% recognized the usefulness of LMA for performing PPV in newborns, 59% did not have specific training in LMA insertion, and only 8% reported that they have already used LMA in the delivery room. In 90% of the hospitals, no written protocol was available to use LMA; and in 68% of the hospitals, LMA was not available for immediate use.

Conclusion

This nationwide survey showed that most professionals recognize the usefulness of LMA. However, the device is scarcely available and underused in the routine of ventilatory assistance for newborns in delivery rooms in Brazil.