Understanding public perceptions and discussions on diseases involving chronic pain through social media: cross-sectional infodemiology study.

BACKGROUND: Chronic pain is a highly prevalent medical condition that negatively impacts quality of life and is associated with considerable functional disability. Certain diseases, such as fibromyalgia, headache, paraplegia, neuropathy, and multiple sclerosis, manifest with chronic pain. OBJECTIVE: The aim of this study is to examine the number and type of tweets (original or retweet) related to chronic pain, as well as to analyze the emotions and compare the societal impact of the diseases under study. METHODS: We investigated tweets posted between January 1, 2018, and December 31, 2022, by Twitter users in English and Spanish, as well as the generated retweets. Additionally, emotions were extracted from these tweets and their diffusion was analyzed. Furthermore, the topics most frequently discussed by users were collected. RESULTS: A total of 72,874 tweets were analyzed, including 44,467 in English and 28,407 in Spanish. Paraplegia represented 23.3% with 16,461 of the classified tweets, followed by headache and fibromyalgia with 15,337 (21.7%) and 15,179 (21.5%) tweets, respectively. Multiple sclerosis generated 14,781 tweets (21%), and the fewest tweets were related to neuropathy with 8,830 tweets (12.5%). The results showed that the primary emotions extracted were "fear" and "sadness." Additionally, the reach and impact of these tweets were investigated through the generated retweets, with those related to headaches showing the highest interest and interaction among users. CONCLUSION: Our results underscore the potential of leveraging social media for a better understanding of patients suffering from chronic pain and its impact on society. Among the most frequently encountered topics are those related to treatment, symptoms, or causes of the disease. Therefore, it is relevant to inform the patient to prevent misconceptions regarding their illness.

Current Opinions about the Use of Duloxetine: Results from a Survey Aimed at Psychiatrists.

Major depressive disorder (MDD) is a complex psychiatric disorder that, presented alone or with other comorbidities, requires different adjustments of antidepressant treatments. Some investigations have demonstrated that psychoactive drugs, such as serotonin and norepinephrine reuptake inhibitors (SNRIs), can exert more effective and faster antidepressant effects than other common medications used, such as serotonin selective reuptake inhibitors (SSRIs), although these differences are still controversial. During the last five years, the SNRI duloxetine has shown favorable results in clinical practice for the treatment of MDD, anxiety, and fibromyalgia. Through an online self-completed survey, in the present article, we collected information from 163 psychiatrists regarding the use of duloxetine and its comparison with other psychiatric drugs, concerning psychiatrists' knowledge and experience, as well as patients' preferences, symptoms, and well-being. We discussed and contrasted physicians' reports and the scientific literature, finding satisfactory concordances, and finally concluded that there is agreement regarding the use of duloxetine, not only due to its tolerability and effectiveness but also due to the wide variety of situations in which it can be used (e.g., somatic symptoms in fibromyalgia, diabetes) as it relieves neuropathic pain as well.

Assessment of beliefs and attitudes about electroconvulsive therapy posted on Twitter: An observational study.

BACKGROUND: Electroconvulsive therapy (ECT) is an effective and safe medical procedure that mainly indicated for depression, but is also indicated for patients with other conditions. However, ECT is among the most stigmatized and controversial treatments in medicine. Our objective was to examine social media contents on Twitter related to ECT to identify and evaluate public views on the matter. METHODS: We collected Twitter posts in English and Spanish mentioning ECT between January 1, 2019 and October 31, 2020. Identified tweets were subject to a mixed method quantitative-qualitative content and sentiment analysis combining manual and semi-supervised natural language processing machine-learning analyses. Such analyses identified the distribution of tweets, their public interest (retweets and likes per tweet), and sentiment for the observed different categories of Twitter users and contents. RESULTS: "Healthcare providers" users produced more tweets (25%) than "people with lived experience" and their "relatives" (including family members and close friends or acquaintances) (10% combined), and were the main publishers of "medical" content (mostly related to ECT's main indications). However, more than half of the total tweets had "joke or trivializing" contents, and such had a higher like and retweet ratio. Among those tweets manifesting personal opinions on ECT, around 75% of them had a negative sentiment. CONCLUSIONS: Mixed method analysis of social media contents on Twitter offers a novel perspective to examine public opinion on ECT, and our results show attitudes more negative than those reflected in studies using surveys and other traditional methods.

[Medical applications of social networks. Specific aspects of the COVID-19 pandemic]. / Aplicaciones médicas de las redes sociales. Aspectos específicos de la pandemia de la COVID-19.

For years, social networks have been incorporated into the day-to-day of the majority of the population. In this context, a new area of knowledge in medicine has been developed: infodemiology. It is defined as the evaluation, with the objective of improving public health, of health-related information that users upload to the network. In addition, social networks offer many possibilities for conducting public health campaigns, accessing patients, or carrying out treatment interventions.