Stopping Antidepressants and Anxiolytics as Major Concerns Reported in Online Health Communities: A Text Mining Approach

Web Search Query Volume Correlates With Prescription Volumes of Antidepressants and Antipsychotics in the Netherlands and United Kingdom: An Explorative Study

BACKGROUND

The significant increase in Internet availability has resulted in a rise in search queries on health-related topics. Previous research has demonstrated the potential for analyzing web search query volume for nonpsychotropic prescription drugs, while studies on psychotropic drugs remain scarce. The aims of this study were to expand upon this scarce knowledge by investigating the relationship between web search query volumes and prescription volumes of antidepressants and antipsychotics in the United Kingdom and the Netherlands and to gain insight in topics of concern, such as withdrawal symptoms and discontinuation.

METHODS

Data were obtained for the United Kingdom and the Netherlands from January 2010 until January 2021. Prescription volume data for 5 antidepressants (paroxetine, fluoxetine, sertraline, citalopram, venlafaxine) and 5 antipsychotics (quetiapine, olanzapine, clozapine, aripiprazole, and risperidone) were obtained. Web search query volumes and data on related search queries of these substances were acquired from Google Trends. Descriptive statistics and Pearson correlation analyses were performed.

RESULTS

A strong, positive, and statistically significant correlation between web search query volume and prescription volume was observed for most included substances in both the Netherlands and the United Kingdom. The search queries related to the included antidepressants and antipsychotics indicate important topics of concern for specific substances, such as withdrawal symptoms and discontinuation.

CONCLUSIONS

Web search data from Google Trends could potentially be used as a proxy for prescribing trends of antidepressants and antipsychotics and to gain insight in topics of concern of users of these substances. These findings highlight the importance of providing reliable patient information, particularly regarding adverse effects, withdrawal, and discontinuation.

What I have learnt from helping thousands of people taper off antidepressants and other psychotropic medications

Although psychiatric drug withdrawal syndromes have been recognized since the 1950s - recent studies confirm antidepressant withdrawal syndrome incidence upwards of 40% - medical information about how to safely go off the drugs has been lacking. To fill this gap, over the last 25 years, patients have developed a robust Internet-based subculture of peer support for tapering off psychiatric drugs and recovering from withdrawal syndrome. This account from the founder of such an online community covers lessons learned from thousands of patients regarding common experiences with medical providers, identification of adverse drug reactions, risk factors for withdrawal, tapering techniques, withdrawal symptoms, protracted withdrawal syndrome, and strategies to cope with symptoms, in the context of the existing scientific literature.

The role of Facebook groups in the management and raising of awareness of antidepressant withdrawal: is social media filling the void left by health services?

BACKGROUND

Antidepressant withdrawal is experienced by about half of people who try to reduce or come off their medication. It can be a debilitating, long lasting process. Many clinicians misdiagnose or minimise symptoms, inadvertently prolonging suffering. Most are unable to help patients safely taper off. There has been little research into the peer support communities that are playing an increasingly important role in helping people withdraw from psychiatric medications.

METHODS

To illustrate the growth and activities of Facebook withdrawal groups, we examined 13 such groups. All were raising awareness of, and supporting individuals tapering off, antidepressants and were followed for 13 months. A further three groups were added for the last 5 months of the study.

RESULTS

In June 2020, the groups had a total membership of 67,125, of which, 60,261 were in private groups. The increase in membership for the 13 groups over the study period was 28.4%. One group was examined in greater detail. Group membership was 82.5% female, as were 80% of the Administrators and Moderators, all of whom are lay volunteers. Membership was international but dominated (51.2%) by the United States (US). The most common reason for seeking out this group was failed clinician-led tapers.

DISCUSSION

The results are discussed in the context of research on the prevalence, duration and severity of antidepressant withdrawal. We question why so many patients seek help in peer-led Facebook groups, rather than relying on the clinicians that prescribed the medications. The withdrawal experiences of tens of thousands of people remain hidden in these groups where they receive support to taper when healthcare services should be responsible. Further research should focus on the methods of support and tapering protocols used in these groups to enable improved, more informed support by clinicians. Support from Governments and healthcare agencies is also needed, internationally, to address this issue.

Infodemiology and Infoveillance: Scoping Review

BACKGROUND

Web-based sources are increasingly employed in the analysis, detection, and forecasting of diseases and epidemics, and in predicting human behavior toward several health topics. This use of the internet has come to be known as infodemiology, a concept introduced by Gunther Eysenbach. Infodemiology and infoveillance studies use web-based data and have become an integral part of health informatics research over the past decade.

OBJECTIVE

The aim of this paper is to provide a scoping review of the state-of-the-art in infodemiology along with the background and history of the concept, to identify sources and health categories and topics, to elaborate on the validity of the employed methods, and to discuss the gaps identified in current research.

METHODS

The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines were followed to extract the publications that fall under the umbrella of infodemiology and infoveillance from the JMIR, PubMed, and Scopus databases. A total of 338 documents were extracted for assessment.

RESULTS

Of the 338 studies, the vast majority (n=282, 83.4%) were published with JMIR Publications. The Journal of Medical Internet Research features almost half of the publications (n=168, 49.7%), and JMIR Public Health and Surveillance has more than one-fifth of the examined studies (n=74, 21.9%). The interest in the subject has been increasing every year, with 2018 featuring more than one-fourth of the total publications (n=89, 26.3%), and the publications in 2017 and 2018 combined accounted for more than half (n=171, 50.6%) of the total number of publications in the last decade. The most popular source was Twitter with 45.0% (n=152), followed by Google with 24.6% (n=83), websites and platforms with 13.9% (n=47), blogs and forums with 10.1% (n=34), Facebook with 8.9% (n=30), and other search engines with 5.6% (n=19). As for the subjects examined, conditions and diseases with 17.2% (n=58) and epidemics and outbreaks with 15.7% (n=53) were the most popular categories identified in this review, followed by health care (n=39, 11.5%), drugs (n=40, 10.4%), and smoking and alcohol (n=29, 8.6%).

CONCLUSIONS

The field of infodemiology is becoming increasingly popular, employing innovative methods and approaches for health assessment. The use of web-based sources, which provide us with information that would not be accessible otherwise and tackles the issues arising from the time-consuming traditional methods, shows that infodemiology plays an important role in health informatics research.

Qualitative Assessment of Adult Patients' Perception of Atopic Dermatitis Using Natural Language Processing Analysis in a Cross-Sectional Study

INTRODUCTION

Atopic dermatitis (AD) is an incurable, inflammatory skin disease characterized by skin barrier disruption and immune dysregulation. Although AD is considered a childhood disease, adult onset is possible, presenting with daily sleep disturbance and functional impairment associated with itch, neuropsychiatric issues (anxiety and depression), and reduced health-related quality of life. Although such aspects of adult AD disease burden have been measured through standardized assessments and based on population-level data, the understanding of the disease experienced at the patient level remains poor. This text-mining study assessed the impact of AD on the lives of adult patients as described from an experiential perspective.

METHODS

Natural language processing (NLP) was applied to qualitative patient response data from two large-scale international cross-sectional surveys conducted in the USA and countries outside of the USA (non-USA; Canada, France, Germany, Italy, Spain, and the UK). Descriptive analysis was conducted on patient responses to an open-ended question on how they felt about their AD and how the disease affected their life. Character length, word count, and stop word (common words) count were evaluated; centrality analysis identified concepts that were most strongly interlinked.

RESULTS

Patients with AD in all countries were most frequently impacted by itch, pain, and embarrassment across all levels of disease severity. Patients with moderate-to-severe AD were more likely than patients with mild AD to describe sleep disturbances, fatigue, and feelings of depression, anxiety, and a lack of hope that were directly associated with AD. Centrality analysis revealed sleep disturbance was strongly linked with itch. Collectively, these concepts revealed that patients with AD are impacted by both physical and emotional burdens that are intricately connected.

CONCLUSIONS

Qualitative data from NLP, being more patient-centric than data from clinical standardized measures, provide a more comprehensive view of the burden of AD to inform disease management.

The Differential Impact of Social Media Use on Middle and High School Students: A Retrospective Study

Background: Social media use is now a central aspect of adolescent life and development. Little is known about the clinical implications of social media use in children and adolescents presenting in acute crisis for psychiatric admission. This study sought to compare the potential effects of social media use among middle and high school students on outcomes of psychiatric morbidity. It was hypothesized that among social media users, high school students would have greater psychiatric morbidity compared with middle school students. Methods: The research team extracted clinical and demographic data from adolescents (aged 12-17 years) presenting for acute psychiatric admission who also had documented social media use (N = 56). Educational status, middle school (n = 21) versus high school (n = 35), was examined as an independent variable. Psychotropic medication use, self-injurious behavior, suicide risk, and suicidal ideation were examined as dependent variables in logistic regression models. Results: High school students using social media had significantly greater predicted odds of psychotropic medication use and self-injurious behavior compared with students in middle school who used social media. High school students using social media had greater, although not statistically significant, predicted odds of suicide risk and suicidal ideation compared with middle school students using social media. Conclusions: Social media use is likely an important factor to consider in psychiatric evaluations. The present findings suggest that social media use in high school students is associated with greater psychiatric morbidity compared with middle school students. Further research could illuminate the developmental lines of social media use and age-specific risks.