ArticleJournal of medical Internet research2022
Using Large-scale Social Media Analytics to Understand Patient Perspectives About Urinary Tract Infections: Thematic Analysis.
Article in Journal of medical Internet research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A Systematic Review of Health-Related Quality-of-Life Measurement in Patients With Complicated Urinary Tract Infections.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025Pooled it
- Perceived Barriers to Care for Urinary Tract Infections in Emerging Adulthood.Journal of general internal medicine · 2026Trial
- From Awareness to Action: Women's Self-Care Strategies and Clinical Behaviors in Recurrent Urinary Tract Infections.Medicina (Kaunas, Lithuania) · 2026Article
- An assessment of the quality and readability level of online content on urinary tract infection treatment in Spanish and English.Translational andrology and urology · 2025Article
- Endometriosis Communities on Reddit: Quantitative Analysis.Journal of medical Internet research · 2025Article
- Living With and Managing Uncomplicated Urinary Tract Infection: Mixed Methods Analysis of Patient Insights From Social Media.Journal of medical Internet research · 2025Article
- Understanding the Burden and Management of Urinary Tract Infections in Women.Diseases (Basel, Switzerland) · 2025Review
- Perceptions in 3.6 Million Web-Based Posts of Online Communities on the Use of Cancer Immunotherapy: Data Mining Using BERTopic.Journal of medical Internet research · 2025Article
- Impact of Urinary Tract and Vaginal Infections on the Physical and Emotional Well-being of Women.Infectious disorders drug targets · 2025Review
- Combining Topic Modeling, Sentiment Analysis, and Corpus Linguistics to Analyze Unstructured Web-Based Patient Experience Data: Case Study of Modafinil Experiences.Journal of medical Internet research · 2024Article
- TikTok misinformation and user engagement in female pelvic floor conditions.Neurourology and urodynamics · 2024Article
- Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X From 2019 to 2021: Thematic Analysis.JMIR pediatrics and parenting · 2024Article
- Reporting of Ethical Considerations in Qualitative Research Utilizing Social Media Data on Public Health Care: Scoping Review.Journal of medical Internet research · 2024Article
- Methods for Analyzing the Contents of Social Media for Health Care: Scoping Review.Journal of medical Internet research · 2023Article
- Patients' and Healthcare Professionals' Experiences and Views of Recurrent Urinary Tract Infections in Women: Qualitative Evidence Synthesis and Meta-Ethnography.Antibiotics (Basel, Switzerland) · 2023Review
- Atlas of patient-reported outcome measures, nomograms and scoring systems used in simple and complicated urinary tract infections: a systematic review.Therapeutic advances in infectious diseaseReview
- Medical service quality evaluation based on LDA and sentiment analysis: Examples of seven chronic diseases.Digital healthArticle
- Psychosocial impact of recurrent urogenital infections: a review.Women's health (London, England)Review
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrent qualitative literature about the experiences of women dealing with urinary tract infections (UTIs) is limited to patients recruited from tertiary centers and medical clinics. However, traditional focus groups and interviews may limit what patients share. Using digital ethnography, we analyzed free-range conversations of an online community.
objectiveThis study aimed to investigate and characterize the patient perspectives of women dealing with UTIs using digital ethnography.
methodsA data-mining service was used to identify online posts. A thematic analysis was conducted on a subset of the identified posts. Additionally, a latent Dirichlet allocation (LDA) probabilistic topic modeling method was applied to review the entire data set using a semiautomatic approach. Each identified topic was generated as a discrete distribution over the words in the collection, which can be thought of as a word cloud. We also performed a thematic analysis of the word cloud topic model results.
resultsA total of 83,589 posts by 53,460 users from 859 websites were identified. Our hand-coding inductive analysis yielded the following 7 themes: quality-of-life impact, knowledge acquisition, support of the online community, health care utilization, risk factors and prevention, antibiotic treatment, and alternative therapies. Using the LDA topic model method, 105 themes were identified and consolidated into 9 categories. Of the LDA-derived themes, 25.7% (27/105) were related to online community support, and 22% (23/105) focused on UTI risk factors and prevention strategies.
conclusionsOur large-scale social media analysis supports the importance and reproducibility of using online data to comprehend women's UTI experience. This inductive thematic analysis highlights patient behavior, self-empowerment, and online media utilization by women to address their health concerns in a safe, anonymous way.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.