ArticleJournal of medical Internet research2020
Characteristics and Symptoms of App Users Seeking COVID-19-Related Digital Health Information and Remote Services: Retrospective Cohort Study.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 5 of them syntheses that pooled it.
What it found
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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
26 citing papers in PubMed, 5 syntheses or guidelines pooled it.
- Impact of Digital Health on Patient-Provider Relationships in Respiratory Secondary Care Based on Qualitative and Quantitative Evidence: Systematic Review.Journal of medical Internet research · 2025Pooled it
- Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review.Journal of medical Internet research · 2023Pooled it
- Taste loss as a distinct symptom of COVID-19: a systematic review and meta-analysis.Chemical senses · 2023Pooled it
- Pooled Prevalence Estimate of Ocular Manifestations in COVID-19 Patients: A Systematic Review and Meta-Analysis.Iranian journal of medical sciences · 2022Pooled it
- Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges.Frontiers in public healthPooled it
- Interactive Versus Static Decision Support Tools for COVID-19: Randomized Controlled Trial.JMIR public health and surveillance · 2022Trial
- A randomized controlled trial of mobile intervention using health support bubbles to prevent social frailty.NPJ digital medicine · 2025Article
- The Potential of Evidence-Based Clinical Intake Tools to Discover or Ground Prevalence of Symptoms Using Real-Life Digital Health Encounters: Retrospective Cohort Study.Journal of medical Internet research · 2024Article
- Redesigning Primary Care: The Emergence of Artificial-Intelligence-Driven Symptom Diagnostic Tools.Journal of personalized medicine · 2023Article
- Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice.BMC primary care · 2023Article
- Predictors of COVID-19 From a Statewide Digital Symptom and Risk Assessment Tool: Cross-Sectional Study.Journal of medical Internet research · 2023Article
- A Digital-First Health Care Approach to Managing Pandemics: Scoping Review of Pandemic Self-triage Tools.Journal of medical Internet research · 2023Article
- Changes in Mobile Health Apps Usage Before and After the COVID-19 Outbreak in China: Semilongitudinal Survey.JMIR public health and surveillance · 2023Article
- Formative Evaluation of a Student Symptom Decision Tree for COVID-19.Health behavior and policy review · 2023Article
- Self-care for coronavirus disease through electronic health technologies: A scoping review.Health science reports · 2023Article
- Understanding Digital Mental Health Needs and Usage With an Artificial Intelligence-Led Mental Health App (Wysa) During the COVID-19 Pandemic: Retrospective Analysis.JMIR formative research · 2023Article
- Evaluation of Dietary Management Using Artificial Intelligence and Human Interventions: Nonrandomized Controlled Trial.JMIR formative research · 2022Article
- Health Care Professionals' Experiences of Web-Based Symptom Checkers for Triage: Cross-sectional Survey Study.Journal of medical Internet research · 2022Article
- Symptoms associated with a COVID-19 infection among a non-hospitalized cohort in Vienna.Wiener klinische Wochenschrift · 2022Article
- Understanding People With Chronic Pain Who Use a Cognitive Behavioral Therapy-Based Artificial Intelligence Mental Health App (Wysa): Mixed Methods Retrospective Observational Study.JMIR human factors · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPatient-facing digital health tools have been promoted to help patients manage concerns related to COVID-19 and to enable remote care and self-care during the COVID-19 pandemic. It has also been suggested that these tools can help further our understanding of the clinical characteristics of this new disease. However, there is limited information on the characteristics and use patterns of these tools in practice.
objectiveThe aims of this study are to describe the characteristics of people who use digital health tools to address COVID-19-related concerns; explore their self-reported symptoms and characterize the association of these symptoms with COVID-19; and characterize the recommendations provided by digital health tools.
methodsThis study used data from three digital health tools on the K Health app: a protocol-based COVID-19 self-assessment, an artificial intelligence (AI)-driven symptom checker, and communication with remote physicians. Deidentified data were extracted on the demographic and clinical characteristics of adults seeking COVID-19-related health information between April 8 and June 20, 2020. Analyses included exploring features associated with COVID-19 positivity and features associated with the choice to communicate with a remote physician.
resultsDuring the period assessed, 71,619 individuals completed the COVID-19 self-assessment, 41,425 also used the AI-driven symptom checker, and 2523 consulted with remote physicians. Individuals who used the COVID-19 self-assessment were predominantly female (51,845/71,619, 72.4%), with a mean age of 34.5 years (SD 13.9). Testing for COVID-19 was reported by 2901 users, of whom 433 (14.9%) reported testing positive. Users who tested positive for COVID-19 were more likely to have reported loss of smell or taste (relative rate [RR] 6.66, 95% CI 5.53-7.94) and other established COVID-19 symptoms as well as ocular symptoms. Users communicating with a remote physician were more likely to have been recommended by the self-assessment to undergo immediate medical evaluation due to the presence of severe symptoms (RR 1.19, 95% CI 1.02-1.32). Most consultations with remote physicians (1940/2523, 76.9%) were resolved without need for referral to an in-person visit or to the emergency department.
conclusionsOur results suggest that digital health tools can help support remote care and self-management of COVID-19 and that self-reported symptoms from digital interactions can extend our understanding of the symptoms associated with COVID-19.
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