ArticleBMC musculoskeletal disorders2016
Are online symptoms checkers useful for patients with inflammatory arthritis?
Article in BMC musculoskeletal disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses 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.
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
47 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Expert recommendations on the psychological needs of patients with rheumatoid arthritis.Rheumatology international · 2018Pooled it
- Web Use for Symptom Appraisal of Physical Health Conditions: A Systematic Review.Journal of medical Internet research · 2017Pooled it
- Diagnostic Accuracy of a Mobile AI-Based Symptom Checker and a Web-Based Self-Referral Tool in Rheumatology: Multicenter Randomized Controlled Trial.Journal of medical Internet research · 2024Trial
- Patient's Perception of Digital Symptom Assessment Technologies in Rheumatology: Results From a Multicentre Study.Frontiers in public health · 2022Trial
- Accuracy and usability of a diagnostic decision support system in the diagnosis of three representative rheumatic diseases: a randomized controlled trial among medical students.Arthritis research & therapy · 2021Trial
- Accuracy, patient-perceived usability, and acceptance of two symptom checkers (Ada and Rheport) in rheumatology: interim results from a randomized controlled crossover trial.Arthritis research & therapy · 2021Trial
- AI-Based Diagnostic Platform Capabilities With Lyme Disease as a Use Case: Integrative Exploration.Online journal of public health informatics · 2026Article
- Machine learning improves online self-referral for inflammatory rheumatic diseases: a registry-based validation study.Rheumatology international · 2026Article
- Factors Influencing the Use of Online Symptom Checkers in the United Kingdom: Cross-Sectional Study.JMIR formative research · 2025Article
- Rheumatology in the digital health era: status quo and quo vadis?Nature reviews. Rheumatology · 2024Review
- A scoping review of triage approaches for the referral of patients with suspected inflammatory arthritis, from primary to rheumatology care.Rheumatology international · 2024Article
- Controlling Inputter Variability in Vignette Studies Assessing Web-Based Symptom Checkers: Evaluation of Current Practice and Recommendations for Isolated Accuracy Metrics.JMIR formative research · 2024Article
- Toward Telemonitoring in Immune-Mediated Inflammatory Diseases: Protocol for a Mixed Attention Model Study.JMIR research protocols · 2024Article
- Stepwise asynchronous telehealth assessment of patients with suspected axial spondyloarthritis: results from a pilot study.Rheumatology international · 2024Article
- User-Initiated Symptom Assessment With an Electronic Symptom Checker: Protocol for a Mixed Methods Validation Study.JMIR research protocols · 2023Article
- Population-based user-perceived experience ofRMD open · 2023Article
- [Acceptance of video consultation among patients with inflammatory rheumatic diseases depends on gender and location-Results of an online survey among patients and physicians].Zeitschrift fur Rheumatologie · 2023Article
- Comparison of physician and artificial intelligence-based symptom checker diagnostic accuracy.Rheumatology international · 2022Article
- Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOnline symptom checkers are increasingly used by patients however there is little published evidence of their effectiveness in real patients. The aim of this study was to evaluate how patients with inflammatory arthritis and inflammatory arthralgia use the internet to look for health information and to assess the advice given and diagnoses suggested by the NHS and WebMD symptom checkers in relation to the patients' actual diagnoses.
methodsThirty-four patients with inflammatory arthritis (rheumatoid arthritis (n = 13), psoriatic arthritis (n = 4), unclassified arthritis (n = 4)) and inflammatory arthralgia (n = 13) newly presenting to a secondary care based clinic were identified using a consecutive sampling approach. Consenting patients were asked questions about their internet use in relation to their presenting symptoms. They then completed the NHS and the WebMD symptom checkers and their answers and the outcomes were recorded.
resultsSixteen patients had previously consulted the internet regarding their symptoms. Neither age nor gender significantly influenced internet usage. Actions advised via the NHS symptom checker were: call an ambulance (n = 11), attend A&E (n = 4), contact your GP straight away (n = 2), see your GP today (n = 6), or see your GP within 36 h (n = 11). The 5 most common differential diagnoses given by Web MD were gout (n = 28), rheumatoid arthritis (n = 24), psoriatic arthritis (n = 22), osteoarthritis (n = 18) and finger dislocation (n = 10). The most common first differential diagnosis was osteoarthritis (n = 12). Only 4 out of 21 patients with inflammatory arthritis were given a first diagnosis of rheumatoid arthritis or psoriatic arthritis.
conclusionsOur data highlight that help seeking advice given online is often inappropriate and that the diagnoses suggested are frequently inaccurate. Recommendations to seek emergency advice may cause inappropriate healthcare utilization.
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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.