A Twitter Education: Why Psychiatrists Should Tweet

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.

Capitalizing on social media: An evaluation of the public's preferences for plastic surgery social media content

BACKGROUND

The effectiveness of utilizing social media platforms to promote clinical practices and attract patients has been well established. This study aimed to assess what plastic surgery social media content and educational material the public is most responsive to.

METHODS

An anonymous 25-question survey was distributed using REDCap and Amazon's Mechanical Turk to ascertain demographic information, patterns of social media use, levels of interest in plastic surgery, and preferences for plastic surgery content.

RESULTS

Of 401 participants, the typical respondent was between 25 and 34 years old and on social media daily. Almost half of the respondents (46.1%) have intentionally viewed plastic surgery content on social media, of which most used Instagram (71.1%) and Facebook (55.4%). Participants grouped as either younger or older than 35 years old were equally likely to have viewed plastic surgery content (p = 0.33). Content categories with the highest interest were before and after results (mean Likert weight 4.00 ± 1.10), patient testimonials (3.73 ± 1.15), and recovery process (3.67 ± 1.14). Content on celebrities (2.89 ± 1.17), comedic videos (2.79 ± 1.19), and surgeons' private lives (2.51 ± 1.08) received negative interest. Photo posts (51.4%) were preferred more than video posts (27.2%). Before and after results on social media were the most influential factor in the selection of a plastic surgeon (45.9%).

CONCLUSIONS

The importance of social media for plastic surgeons to be able to interact with patients is at unprecedented heights. Understanding patterns of the public's social media content preferences will help plastic surgeons optimize their social media reach and influence their target audience.

Antidepressants: A content analysis of healthcare providers' tweets

Background

Antidepressants are the primary treatment for depression, and social support from social media may offer another support route. Whilst Twitter has become an interactive platform for healthcare providers and their patients, previous studies found low engagement of healthcare providers when discussing antidepressants on Twitter. This study aims to analyse the Twitter posts of healthcare providers related to antidepressants and to explore the healthcare providers' engagement and their areas of interest.

Method

Tweets within a 10-day period were collected through multiple searches with a list of keywords within Twitter. The results were filtered against several inclusion criteria, including a manual screening to identify healthcare providers. A content analysis was conducted on eligible tweets where correlative themes and subthemes were identified.

Key findings

Healthcare providers contributed 5.9% of the antidepressant-related tweets (n = 770/13,005). The major clinical topics referred to in the tweets were side effects, antidepressants for the treatment of COVID-19, and antidepressant studies of psychedelics. Nurses posted more tweets sharing personal experiences with commonly negative attitudes, in contrast to physicians. Links to external webpages were commonly used among healthcare providers, especially users representing healthcare organisations.

Conclusions

A relatively low proportion of healthcare providers' engagement on Twitter regarding antidepressants (5.9%) was identified, with a minimal increase throughout the COVID-19 pandemic when compared to previous studies. The major clinical topics referred to in the tweets were side effects, antidepressants for the treatment of COVID-19 and antidepressant studies of psychedelics, which have been made publicly available. In general, the findings confirmed that social media platforms are a mechanism by which healthcare providers, organisations and students support patients, share information about adverse drug effects, communicate personal experiences, and share research. It is plausible that this could impact the belief and behaviours of people with lived experience of depression who may see these tweets.

The relationship between the sources of confidence in overcoming COVID-19 and the improvement of medical students' professional identity: mediation by medical students' attention to COVID-19

BACKGROUND

The prevalence of COVID-19 highlights the shortage of human medical resources, and improving medical students' professional identity is crucial to improving this situation. The sources of confidence in overcoming COVID-19 and medical students' attention to COVID-19 were significant factors affecting their professional identity. However, no study has investigated the mediating role of medical students' attention to COVID-19 in their relationship. This study investigates the relationship between these three factors in three medical university students in Hunan Province.

METHODS

A cross-sectional survey study that used convenience sampling method was conducted on 2775 medical students from three universities in the Hunan Province of China from March 15 to April 19, 2020. An intermediary model was established to evaluate the role of medical students' attention to COVID-19 in the sources of confidence in overcoming COVID-19 and the improvement of medical students' professional identity.

RESULTS

The sources of confidence in overcoming COVID-19, medical students' attention to national crisis events, and the improvement of medical students' professional identity was positively associated with each other (β = 0.328 ~ 0.464, P < 0.001). The mediating effect accounted for 23.3% of the total effect and 30.4% of the direct effect. Medical students' attention to COVID-19 partially mediates the relationship between the sources of confidence to overcome COVID-19 and the improvement of medical students' professional identity.

CONCLUSIONS

This study found that the sources of confidence in overcoming COVID-19 and medical students' attention to national crisis events have a significant predictive effect on the improvement of medical students' professional identity. Medical students' attention to COVID-19 mediated the relationship between the sources of confidence to overcome COVID-19 and the improvement of medical students' professional identity. The findings have emphasized the theoretical and practical significance of professional identity education for medical students.

Areas of Interest and Social Consideration of Antidepressants on English Tweets: A Natural Language Processing Classification Study

Background: Antidepressants are the foundation of the treatment of major depressive disorders. Despite the scientific evidence, there is still a sustained debate and concern about the efficacy of antidepressants, with widely differing opinions among the population about their positive and negative effects, which may condition people’s attitudes towards such treatments. Our aim is to investigate Twitter posts about antidepressants in order to have a better understanding of the social consideration of antidepressants. Methods: We gathered public tweets mentioning antidepressants written in English, published throughout a 22-month period, between 1 January 2019 and 31 October 2020. We analysed the content of each tweet, determining in the first place whether they included medical aspects or not. Those with medical content were classified into four categories: general aspects, such as quality of life or mood, sleep-related conditions, appetite/weight issues and aspects around somatic alterations. In non-medical tweets, we distinguished three categories: commercial nature (including all economic activity, drug promotion, education or outreach), help request/offer, and drug trivialization. In addition, users were arranged into three categories according to their nature: patients and relatives, caregivers, and interactions between Twitter users. Finally, we identified the most mentioned antidepressants, including the number of retweets and likes, which allowed us to measure the impact among Twitter users. Results: The activity in Twitter concerning antidepressants is mainly focused on the effects these drugs may have on certain health-related areas, specifically sleep (20.87%) and appetite/weight (8.95%). Patients and relatives are the type of user that most frequently posts tweets with medical content (65.2%, specifically 80% when referencing sleep and 78.6% in the case of appetite/weight), whereas they are responsible for only 2.9% of tweets with non-medical content. Among tweets classified as non-medical in this study, the most common subject was drug trivialization (66.86%). Caregivers barely have any presence in conversations in Twitter about antidepressants (3.5%). However, their tweets rose more interest among other users, with a ratio 11.93 times higher than those posted by patients and their friends and family. Mirtazapine is the most mentioned antidepressant in Twitter (45.43%), with a significant difference with the rest, agomelatine (11.11%). Conclusions: This study shows that Twitter users that take antidepressants, or their friends and family, use social media to share medical information about antidepressants. However, other users that do not talk about antidepressants from a personal or close experience, frequently do so in a stigmatizing manner, by trivializing them. Our study also brings to light the scarce presence of caregivers in Twitter.

Characterizing and Identifying the Prevalence of Web-Based Misinformation Relating to Medication for Opioid Use Disorder: Machine Learning Approach

Background

Expanding access to and use of medication for opioid use disorder (MOUD) is a key component of overdose prevention. An important barrier to the uptake of MOUD is exposure to inaccurate and potentially harmful health misinformation on social media or web-based forums where individuals commonly seek information. There is a significant need to devise computational techniques to describe the prevalence of web-based health misinformation related to MOUD to facilitate mitigation efforts.

Objective

By adopting a multidisciplinary, mixed methods strategy, this paper aims to present machine learning and natural language analysis approaches to identify the characteristics and prevalence of web-based misinformation related to MOUD to inform future prevention, treatment, and response efforts.

Methods

The team harnessed public social media posts and comments in the English language from Twitter (6,365,245 posts), YouTube (99,386 posts), Reddit (13,483,419 posts), and Drugs-Forum (5549 posts). Leveraging public health expert annotations on a sample of 2400 of these social media posts that were found to be semantically most similar to a variety of prevailing opioid use disorder–related myths based on representational learning, the team developed a supervised machine learning classifier. This classifier identified whether a post’s language promoted one of the leading myths challenging addiction treatment: that the use of agonist therapy for MOUD is simply replacing one drug with another. Platform-level prevalence was calculated thereafter by machine labeling all unannotated posts with the classifier and noting the proportion of myth-indicative posts over all posts.

Results

Our results demonstrate promise in identifying social media postings that center on treatment myths about opioid use disorder with an accuracy of 91% and an area under the curve of 0.9, including how these discussions vary across platforms in terms of prevalence and linguistic characteristics, with the lowest prevalence on web-based health communities such as Reddit and Drugs-Forum and the highest on Twitter. Specifically, the prevalence of the stated MOUD myth ranged from 0.4% on web-based health communities to 0.9% on Twitter.

Conclusions

This work provides one of the first large-scale assessments of a key MOUD-related myth across multiple social media platforms and highlights the feasibility and importance of ongoing assessment of health misinformation related to addiction treatment.

Twitter Users' Views on Mental Health Crisis Resolution Team Care Compared With Stakeholder Interviews and Focus Groups: Qualitative Analysis

BACKGROUND

Analyzing Twitter posts enables rapid access to how issues and experiences are socially shared and constructed among communities of health service users and providers, in ways that traditional qualitative methods may not.

OBJECTIVE

To enrich the understanding of mental health crisis care in the United Kingdom, this study explores views on crisis resolution teams (CRTs) expressed on Twitter. We aim to identify the similarities and differences among views expressed on Twitter compared with interviews and focus groups.

METHODS

We used Twitter's advanced search function to retrieve public tweets on CRTs. A thematic analysis was conducted on 500 randomly selected tweets. The principles of refutational synthesis were applied to compare themes with those identified in a multicenter qualitative interview study.

RESULTS

The most popular hashtag identified was #CrisisTeamFail, where posts were principally related to poor quality of care and access, particularly for people given a personality disorder diagnosis. Posts about CRTs giving unhelpful self-management advice were common, as were tweets about resource strains on mental health services. This was not identified in the research interviews. Although each source yielded unique themes, there were some overlaps with themes identified via interviews and focus groups, including the importance of rapid access to care. Views expressed on Twitter were generally more critical than those obtained via face-to-face methods.

CONCLUSIONS

Traditional qualitative studies may underrepresent the views of more critical stakeholders by collecting data from participants accessed via mental health services. Research on social media content can complement traditional or face-to-face methods and ensure that a broad spectrum of viewpoints can inform service development and policy.

Use of Twitter in Neurology: Boon or Bane?

Twitter is a free, open access social media platform that is widely used in medicine by physicians, scientists, and patients. It provides an opportunity for advocacy, education, and collaboration. However, it is likely not utilized to its full advantage by many disciplines in medicine, and pitfalls exist in its use. In particular, there has not been a review of Twitter use and its applications in the field of neurology. This review seeks to provide an understanding of the current use of Twitter in the field of neurology to assist neurologists in engaging with this potentially powerful application to support their work.

Twitter for microblogging in oral health care, research, and academics: Road map and future directions

Current times have seen growing use of social medial tools, including microblogging sites like Twitter as an efficient method to disseminate information related to health amongst patients, students as well as health care workers. This article explores the role of this short, effective messaging platform in oral health care, teaching, research and learning. The concepts of “tweeting the meeting” and aggregation of conversations via “hashtags” is advocated for academic conferences, which will extend the conference reach to give the users better access to the instructors and enhance the related outcomes. Tweeting and retweeting the required research content may increase the academic footprint of the conducted research and researchers. In addition, it has served an immense role in the current COVID-19 pandemic by the regular circulation of information to the public and helped governments in policymaking and showcasing the areas of public concern. However, it still has a huge potential yet to be explored, with collective efforts towards strengthening the aspects of authenticity and standardization of the shared content.

Defining the Digital Self: A Qualitative Study to Explore the Digital Component of Professional Identity in the Health Professions

Background

Recent medical education literature pertaining to professional identity development fails to reflect the impact social media has on professional identity theory. Social media is transforming the field of medicine, as the web-based medium is now an avenue for professional development and socialization for medical students and residents. Research regarding identity development in social media has been primarily confined to electronic professionalism through best practice guidelines. However, this neglects other potential aspects pertinent to digital identity that have not yet been explored.

Objective

This study aims to define the properties and development of the digital self and its interactions with the current professional identity development theory.

Methods

A qualitative study was conducted using thematic analysis. A total of 17 participants who are social media education and knowledge translation experts were interviewed. The initial participants were from emergency medicine, and a snowball sampling method was used following their respective web-based semistructured interviews to enable global recruitment of other participants from interprofessional disciplines. The research team consisted of a diverse group of researchers including one current social media knowledge translation physician clinician educator, one postdoctoral researcher who is regularly engaged in social media knowledge translation, and 3 nonphysician research assistants who are not social media users. Half of the team conducted the initial coding and analysis, whereas the other 2 investigators audited the procedures followed.

Results

A total of 4 themes were identified that pertain to digital identity. In the first theme, origins of initial digital identity formation were found to be derived from perceived needs in professional roles (eg, as a medical student or resident). The second theme consisted of the cultivation of digital identity, in which digital identity was developed parallel to professional identity. The third theme that emerged was the management between the professional and personal components of digital identity. Participants initially preferred keeping these components completely separate; however, attempts to do so were inadequate while the integration of both components provided benefits. The fourth theme was the management of real-life identity and digital identity. Participants preferred real-life identity to be wholly represented on the web. Instances of misalignment resulted in identity conflict, compromising one of the identities.

Conclusions

Social media introduces new features to professional identity in the digital world. The formation of digital identity, its development, and reconciliation with other identities were features captured in our analysis. The virtual component of professional identity must not be neglected but instead further explored, as educational institutions continue to give more importance to navigating professional identity development.

A Collaborative Framework Based for Semantic Patients-Behavior Analysis and Highlight Topics Discovery of Alcoholic Beverages in Online Healthcare Forums

Medical data in online groups and social media contain valuable information, which is provided by both healthcare professionals and patients. In fact, patients can talk freely and share their personal experiences. These resources are a valuable opportunity for health professionals who can access patients' opinions, as well as discussions between patients. Recently, the data processing of the health community and, how to extract knowledge is a significant technical challenge. There are many online group and forums that users can discuss on healthcare issues. Therefore, we can examine these text documents for discovering knowledge and evaluating patients' behavior based on their opinions and discussions. For example, there are many questions and answering groups on Twitter or Facebook. Given the importance of the research, in this paper, we present a semantic framework based on topic model (LDA) and Random forest(RF) to predict and retrieval latent topics of healthcare text-documents from an online forum. We extract our healthcare records (patient-questions) from patient.info website as a real dataset. Experiments on our dataset show that social media forums could help for detecting significant patient safety problems on healthcare issues.

Social Media Skills for Professional Development in Psychiatry and Medicine

Social media use is increasing in the United States. Because psychiatrists and physicians are becoming more active online, Twitter is emerging as a leading platform for professional development. Social media can enhance networking, serve as a tool for mentoring trainees and colleagues, introduce journal articles to new readers, and allow psychiatrists and physicians to advocate for health care issues. Psychiatrists and physicians should observe ethical standards for digital citizenship on Twitter and other social media platforms.

Increasing Interest of Mass Communication Media and the General Public in the Distribution of Tweets About Mental Disorders: Observational Study

Background

The contents of traditional communication media and new internet social media reflect the interests of society. However, certain barriers and a lack of attention towards mental disorders have been previously observed.

Objective

The objective of this study is to measure the relevance of influential American mainstream media outlets for the distribution of psychiatric information and the interest generated in these topics among their Twitter followers.

Methods

We investigated tweets generated about mental health conditions and diseases among 15 mainstream general communication media outlets in the United States of America between January 2007 and December 2016. Our study strategy focused on identifying several psychiatric terms of primary interest. The number of retweets generated from the selected tweets was also investigated. As a control, we examined tweets generated about the main causes of death in the United States of America, the main chronic neurological degenerative diseases, and HIV.

Results

In total, 13,119 tweets about mental health disorders sent by the American mainstream media outlets were analyzed. The results showed a heterogeneous distribution but preferential accumulation for a select number of conditions. Suicide and gender dysphoria accounted for half of the number of tweets sent. Variability in the number of tweets related to each control disease was also found (5998). The number of tweets sent regarding each different psychiatric or organic disease analyzed was significantly correlated with the number of retweets generated by followers (1,030,974 and 424,813 responses to mental health disorders and organic diseases, respectively). However, the probability of a tweet being retweeted differed significantly among the conditions and diseases analyzed. Furthermore, the retweeted to tweet ratio was significantly higher for psychiatric diseases than for the control diseases (odds ratio 1.11, CI 1.07-1.14; P<.001).

Conclusions

American mainstream media outlets and the general public demonstrate a preferential interest for psychiatric diseases on Twitter. The heterogeneous weights given by the media outlets analyzed to the different mental health disorders and conditions are reflected in the responses of Twitter followers.

Social media and professional identity: Pitfalls and potential

INTRODUCTION

Social media developments have completely changed how information is accessed and communicated. While great potential exists with these platforms, recent reports of online unprofessional behavior by doctors has threatened the medical professional identity; a matter of critical importance for clinicians and medical educators. This paper outlines a role for social media in facilitating support for clinicians and medical teachers; it will raise awareness of pitfalls and explain ethical and legal guidelines.

METHODS

An analysis of inappropriate behaviors and conflicting attitudes regarding what is acceptable in online posts, including the inter-generational contrast in online presence and perceptions of where the boundaries lie.

RESULTS AND DISCUSSION

Guidance documents are analyzed and potentially confusing and conflicting statements are identified and clarified. The authors believe that clinicians and medical students must follow ethical imperatives in both personal and professional spheres.

CONCLUSIONS

It is essential that medical educational and professional bodies encourage clinicians to support one another and share information online while providing clear legal and ethical advice on maintaining standards and avoiding common pitfalls. Education on the responsible use of social media and associated risk awareness should be a priority for medical school curricula.

HARNESSING SOCIAL MEDIA FOR HEALTH INFORMATION MANAGEMENT

The remarkable upsurge of social media has dramatic impacts on health care research and practice in the past decade. Social media are reshaping health information management in a variety of ways, ranging from providing cost-effective ways to improve clinician-patient communication and exchange health-related information and experience, to enabling the discovery of new medical knowledge and information. Despite some demonstrated initial success, social media use and analytics for improving health as a research field is still at its infancy. Information systems researchers can potentially play a key role in advancing the field. This study proposes a conceptual framework for social media-based health information management by drawing on multi-disciplinary research. With the guidance of the framework, this research presents related research challenges, identifies important yet under-explored research issues, and discusses promising directions for future research.

Citation patterns and trends of systematic reviews about mindfulness

OBJECTIVES

We performed a citation analysis of the literature about mindfulness aimed at describing the most significant topics and the impact of more relevant papers.

METHODS

We classified 128 systematic reviews about mindfulness-based intervention retrieved in Scopus according to their object, the population included and the type of mindfulness proposed. The citation counting was reported. The cumulative citation numbers per chronological years and article life were analyzed thorough a linear regression model.

RESULTS

1) We observed a general increase in the number of reviews published from 2003 to 2016; 2) two reviews collected the 33% of the overall citations; 3) citation counting for clinical and mixed population collected the 90% of total citations; 4) clinical reviews had higher cumulative citation per publication/year growth.

CONCLUSIONS

As mindfulness research advances, higher attention should be given to the mechanisms by which mindfulness interventions work so as to provide fruitful insights for future research.

Can New Digital Technologies Support Parasitology Teaching and Learning?

Traditionally, parasitology courses have mostly been taught face-to-face on campus, but now digital technologies offer opportunities for teaching and learning. Here, we give a perspective on how new technologies might be used through student-centred teaching approaches. First, a snapshot of recent trends in the higher education is provided; then, a brief account is given of how digital technologies [e.g., massive open online courses (MOOCs), flipped classroom (FC), games, quizzes, dedicated Facebook, and digital badges] might promote parasitology teaching and learning in digital learning environments. In our opinion, some of these digital technologies might be useful for competency-based, self-regulated, learner-centred teaching and learning in an online or blended teaching environment.