ArticleJournal of medical Internet research2020
A Patient Self-Checkup App for COVID-19: Development and Usage Pattern Analysis.
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 7 papers, 2 of them syntheses that pooled it.
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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
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Digital technologies and clinical decision support tools available for diabetes triage in the inpatient setting: A systematic literature review.Diabetic medicine : a journal of the British Diabetic Association · 2026Pooled it
- Telehealth-Based Services During the COVID-19 Pandemic: A Systematic Review of Features and Challenges.Frontiers in public healthPooled it
- A Digital-First Health Care Approach to Managing Pandemics: Scoping Review of Pandemic Self-triage Tools.Journal of medical Internet research · 2023Article
- Article
- Self-care for coronavirus disease through electronic health technologies: A scoping review.Health science reports · 2023Article
- The medical and societal impact of big data analytics and artificial intelligence applications in combating pandemics: A review focused on Covid-19.Social science & medicine (1982) · 2022Review
- Validation of Machine Learning Models to Predict Adverse Outcomes in Patients with COVID-19: A Prospective Pilot Study.Yonsei medical journal · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundClear guidelines for a patient with suspected COVID-19 infection are unavailable. Many countries rely on assessments through a national hotline or telecommunications, but this only adds to the burden of an already overwhelmed health care system. In this study, we developed an algorithm and a web application to help patients get screened.
objectiveThis study aims to aid the general public by developing a web-based application that helps patients decide when to seek medical care during a novel disease outbreak.
methodsThe algorithm was developed via consultations with 6 physicians who directly screened, diagnosed, and/or treated patients with COVID-19. The algorithm mainly focused on when to test a patient in order to allocate limited resources more efficiently. The application was designed to be mobile-friendly and deployed on the web. We collected the application usage pattern data from March 1 to March 27, 2020. We evaluated the association between the usage pattern and the numbers of COVID-19 confirmed, screened, and mortality cases by access location and digital literacy by age group.
resultsThe algorithm used epidemiological factors, presence of fever, and other symptoms. In total, 83,460 users accessed the application 105,508 times. Despite the lack of advertisement, almost half of the users accessed the application from outside of Korea. Even though the digital literacy of the 60+ years age group is half of that of individuals in their 50s, the number of users in both groups was similar for our application.
conclusionsWe developed an expert-opinion-based algorithm and web-based application for screening patients. This innovation can be helpful in circumstances where information on a novel disease is insufficient and may facilitate efficient medical resource allocation.
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