ArticleJournal of medical Internet research2021
Share to Seek: The Effects of Disease Complexity on Health Information-Seeking Behavior.
Article in Journal of medical Internet research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Mapping the quality of information on osteoporosis: a cross-sectional analysis of online health information.BMC musculoskeletal disorders · 2026Article
- Overdose-Related Trends in Online Search Behavior in Japan: Analysis Using Infodemiological Methods.Journal of medical Internet research · 2025Article
- A Scoping Review of Arabic Natural Language Processing for Mental Health.Healthcare (Basel, Switzerland) · 2025Review
- Quality Measurement of Consumer Health Questions: Content and Language Perspectives.Journal of medical Internet research · 2024Article
- The Use of Combined Hip Arthroscopy and Periacetabular Osteotomy for Hip Dysplasia Is Increasing and Has Low Complication Rates.Arthroscopy, sports medicine, and rehabilitation · 2024Article
- Illicit Trade of Prescription Medications Through X (Formerly Twitter) in Japan: Cross-Sectional Study.JMIR formative research · 2024Article
- Knowledge, attitudes, and practices among patients with anemia towards disease management.Frontiers in public health · 2024Article
- Internet-Based Inquiries From Users With the Intention to Overdose With Over-the-Counter Drugs: Qualitative Analysis of Yahoo! Chiebukuro.JMIR formative research · 2023Article
- CHQ- SocioEmo: Identifying Social and Emotional Support Needs in Consumer-Health Questions.Scientific data · 2023Article
- Patients' unmet information needs and gaps of obstetric ultrasound exam: A qualitative content analysis of social media platforms.Informatics in medicine unlocked · 2022Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundWeb-based question and answer (Q&A) sites have emerged as an alternative source for serving individuals' health information needs. Although a number of studies have analyzed user-generated content in web-based Q&A sites, there is insufficient understanding of the effect of disease complexity on information-seeking needs and the types of information shared, and little research has been devoted to the questions concerning multimorbidity.
objectiveThis study aims to investigate seeking of health information in Q&A sites at different levels of disease complexity. Specifically, this study investigates the effects of disease complexity on information-seeking needs, types of information shared, and stages of disease development.
methodsFirst, we selected a random sample of 400 questions separately from each of the Q&A sites: Yahoo Answers and WebMD Answers. The data cleaning resulted in a final set of 624 questions from the two sites. We used a mixed methods approach, including qualitative content analysis and quantitative statistical analysis.
resultsThe one-way results of ANOVA showed significant effects of disease complexity (single vs multimorbid disease questions) on two information-seeking needs: diagnosis (F
conclusionsOur findings present implications for the design of web-based Q&A sites to better support health information seeking. Future studies should be conducted to validate the generality of these findings and apply them to improve the effectiveness of health information in Q&A sites.
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Registered trials
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.