#Menopause: the menopause ontology project

Abstract

Objective: To create a hashtag ontology specific to menopause. Methods: This study analyzed tweets including the hashtag #menopause between November 2019 and November 2021. Tweets performed by international or national societies as well as expert social media influencers were included in the analysis. To analyze hashtag utilization amongst all Twitter users, hashtags from the "Top" tweets Twitter search function from October 2021 were also analyzed. Co-occurring hashtags were recorded as well as the type of user who performed the tweet during the "Top" tweets analysis. Social media influencers and experts reviewed and edited the hashtag list. The hashtags were then grouped by subject.Results: We analyzed 382 tweets with #menopause. Of the users included in the "Top" tweets, 40% were patient advocates or advocacy groups; 38% were medical professionals, academics, societies, or journals; and 22% were general users. In total, 123 unique hashtags were identified. After social media influencer and expert review, 32 hashtags were included in the final ontology. The ontology was then grouped into the following categories based on subject matter: general, premature menopause, hormones, sexual function, and genital disorders.Conclusions: Social media is an important tool for medical professionals and patients. Our study is the first to develop a hashtag ontology specific to menopause. Adoption of a hashtag ontology with standardized terminology by medical professionals may facilitate easier communication with peers and patients.

Tags for Tears: The Obstetric Anal Sphincter Injury Hashtag Ontology Project

“…[2][3][4] In addition, our group has published work within the gynecologic realm to create hashtag ontologies for topics in urogynecology, minimally invasive gynecologic surgery, and menopause. [5][6][7] The primary aim of this study was to create a hashtag ontology specific to OASIS by analyzing posts on Twitter. Secondary aims were to thematically analyze top tweets related to OASIS and to describe the types of users posting about OASIS.…”

“…Previous studies have created and explored the use of hashtag ontologies in radiology, urology, and neurology and postulated that the application of these tools may improve access to more reliable medical information for patients and health care providers (HCPs) on social media 2–4 . In addition, our group has published work within the gynecologic realm to create hashtag ontologies for topics in urogynecology, minimally invasive gynecologic surgery, and menopause 5–7 …”

#Menopause: Examining the frequency of communications about menopause on twitter between 2014 and 2022

“…Twitter is a popular social media platform, with an estimated 556 million active users [2]; it provides a microblogging and social network service where users can communicate via "tweet" messages with a 280-character limit. A recent study [3] examined #menopause tweets between November 2019-2021 in order to understand the hashtag categories (or "ontology") being used with tweets. The study highlighted the relevance of Twitter for patients, patient advocacy groups, medical practitioners and academic communication about menopause.…”

Response to Letter to Editor

“…We specifically chose to evaluate the appropriateness of responses generated by artificial intelligence, focusing on a topic as crucial as premature ovarian failure, given the substantial interest patients have in seeking information on the Internet and social media platforms. 1 Daungsupawong and Wiwanitkit aptly noted that the number of questions evaluated in our study could have been expanded. However, we consciously opted for standardization by selecting questions from the frequently asked questions published by the European Society of Human Reproduction and Embryology (ESHRE).…”

“…The rapid development and increasing utilization of artificial intelligence in medicine and gynecology indeed call for rigorous assessments, both in terms of reliability and ethics. We specifically chose to evaluate the appropriateness of responses generated by artificial intelligence, focusing on a topic as crucial as premature ovarian failure, given the substantial interest patients have in seeking information on the Internet and social media platforms 1 …”