Background Endometriosis is a debilitating and difficult-to-diagnose gynecological disease. Owing to limited information and awareness, women often rely on social media platforms as a support system to engage in discussions regarding their disease-related concerns. Objective This study aimed to apply computational techniques to social media posts to identify discussion topics about endometriosis and to identify themes that require more attention from health care professionals and researchers. We also aimed to explore whether, amid the challenging nature of the disease, there are themes within the endometriosis community that gather posts with positive sentiments. Methods We retrospectively extracted posts from the subreddits r/Endo and r/endometriosis from January 2011 to April 2022. We analyzed 45,693 Reddit posts using sentiment analysis and topic modeling–based methods in machine learning. Results Since 2011, the number of posts and comments has increased steadily. The posts were categorized into 11 categories, and the highest number of posts were related to either asking for information (Question); sharing the experiences (Rant/Vent); or diagnosing and treating endometriosis, especially surgery (Surgery related). Sentiment analysis revealed that 92.09% (42,077/45,693) of posts were associated with negative sentiments, only 2.3% (1053/45,693) expressed positive feelings, and there were no categories with more positive than negative posts. Topic modeling revealed 27 major topics, and the most popular topics were Surgery, Questions/Advice, Diagnosis, and Pain. The Survey/Research topic, which brought together most research-related posts, was the last in terms of posts. Conclusions Our study shows that posts on social media platforms can provide insights into the concerns of women with endometriosis symptoms. The analysis of the posts confirmed that women with endometriosis have to face negative emotions and pain daily. The large number of posts related to asking questions shows that women do not receive sufficient information from physicians and need community support to cope with the disease. Health care professionals should pay more attention to the symptoms and diagnosis of endometriosis, discuss these topics with patients to reduce their dissatisfaction with doctors, and contribute more to the overall well-being of women with endometriosis. Researchers should also become more involved in social media and share new science-based knowledge regarding endometriosis.

BACKGROUND Endometriosis is a debilitating and difficult-to-diagnose gynecological disease. Owing to limited information and awareness, women often rely on social media platforms as a support system to engage in discussions regarding their disease-related concerns. OBJECTIVE This study aimed to apply computational techniques to social media posts to identify discussion topics about endometriosis and to identify themes that require more attention from health care professionals and researchers. We also aimed to explore whether, amid the challenging nature of the disease, there are themes within the endometriosis community that gather posts with positive sentiments. METHODS We retrospectively extracted posts from the subreddits r/Endo and r/endometriosis from January 2011 to April 2022. We analyzed 45,693 Reddit posts using sentiment analysis and topic modeling–based methods in machine learning. RESULTS Since 2011, the number of posts and comments has increased steadily. The posts were categorized into 11 categories, and the highest number of posts were related to either asking for information (<i>Question</i>); sharing the experiences (<i>Rant/Vent</i>); or diagnosing and treating endometriosis, especially surgery (<i>Surgery related</i>). Sentiment analysis revealed that 92.09% (42,077/45,693) of posts were associated with negative sentiments, only 2.3% (1053/45,693) expressed positive feelings, and there were no categories with more positive than negative posts. Topic modeling revealed 27 major topics, and the most popular topics were <i>Surgery</i>, <i>Questions/Advice</i>, <i>Diagnosis</i>, and <i>Pain</i>. The <i>Survey/Research</i> topic, which brought together most research-related posts, was the last in terms of posts. CONCLUSIONS Our study shows that posts on social media platforms can provide insights into the concerns of women with endometriosis symptoms. The analysis of the posts confirmed that women with endometriosis have to face negative emotions and pain daily. The large number of posts related to asking questions shows that women do not receive sufficient information from physicians and need community support to cope with the disease. Health care professionals should pay more attention to the symptoms and diagnosis of endometriosis, discuss these topics with patients to reduce their dissatisfaction with doctors, and contribute more to the overall well-being of women with endometriosis. Researchers should also become more involved in social media and share new science-based knowledge regarding endometriosis.

Introduction and hypothesis Pelvic Floor Distress Inventory (PFDI-20) and the Pelvic Floor Impact Questionnaire (PFIQ-7) are reliable instruments for evaluating the quality of life in women with pelvic organ prolapse (POP). They have been translated and validated in many languages. The study was aimed at validating the Estonian translations of the PFDI-20 and PFIQ-7 tools. Methods The questionnaires were translated into Estonian using a multistep translation method. A total of 132 women were enrolled: patients with diagnosed POP (n=57) were allocated to test–retest reliability analyses, and those with no POP signs (n=88) completed the questionnaire only once. The total scores of questionnaires and their subscales of both patient and reference groups were compared. Item response rate, floor and ceiling effects, corrected item–total correlations, internal consistency, and convergent and discriminant validity were analyzed. The study was approved by the Ethics Committee of Human Research of the University Clinic of Tartu, Estonia, and informed consent was obtained from each participant. Results The translated questionnaires demonstrated good internal consistency (Cronbach's α values 0.77–0.93). The item response rate was 99%. Intra-class correlations (ICC) were strong for PFDI-20 and PFIQ-7 and their subscales ranged from 0.86 to 0.96. Construct validity of the tools demonstrated by manyfold higher scores among patients with POP compared with women without POP (p<0.0001). Conclusions The Estonian versions of the PFDI-20 and PFIQ-7 tools are reliable and valid instruments for assessing the quality of life in women with POP.