This paper is in the following e-collection/theme issue:

General Articles on Innovation and Technology in Public Health (74) Computer-Aided Diagnosis (135) mHealth for Diagnosis (63) Diagnostic Tools in Mental Health (248)

Published on in Vol 7, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/22637, first published .
Young Adults’ Perspectives on the Use of Symptom Checkers for Self-Triage and Self-Diagnosis: Qualitative Study

Young Adults’ Perspectives on the Use of Symptom Checkers for Self-Triage and Self-Diagnosis: Qualitative Study

Young Adults’ Perspectives on the Use of Symptom Checkers for Self-Triage and Self-Diagnosis: Qualitative Study

Authors of this article:

Stephanie Aboueid1 Author Orcid Image ;   Samantha Meyer1 Author Orcid Image ;   James R Wallace1 Author Orcid Image ;   Shreya Mahajan1 Author Orcid Image ;   Ashok Chaurasia1 Author Orcid Image
Article Authors Cited by (23) Tweetations (2) Metrics

Journals

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  2. Pairon A, Philips H, Verhoeven V. A scoping review on the use and usefulness of online symptom checkers and triage systems: How to proceed?. Frontiers in Medicine 2023;9 View
  3. Gyorda J, Lekkas D, Price G, Jacobson N. Evaluating the Impact of Mask Mandates and Political Party Affiliation on Mental Health Internet Search Behavior in the United States During the COVID-19 Pandemic: Generalized Additive Mixed Model Framework. Journal of Medical Internet Research 2023;25:e40308 View
  4. Müller R, Klemmt M, Ehni H, Henking T, Kuhnmünch A, Preiser C, Koch R, Ranisch R. Ethical, legal, and social aspects of symptom checker applications: a scoping review. Medicine, Health Care and Philosophy 2022;25(4):737 View
  5. Aboueid S, Meyer S, Wallace J, Chaurasia A, Dragan D. Latent classes associated with the intention to use a symptom checker for self-triage. PLOS ONE 2021;16(11):e0259547 View
  6. Schmieding M, Kopka M, Schmidt K, Schulz-Niethammer S, Balzer F, Feufel M. Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation. Journal of Medical Internet Research 2022;24(5):e31810 View
  7. Abensur Vuillaume L, Turpinier J, Cipolat L, Arnaud-Dépil-Duval , Dumontier T, Peschanski N, Kieffer Y, Barbat B, Riquier T, Dinot V, Galland J, Piryani R. Exploratory study: Evaluation of a symptom checker effectiveness for providing a diagnosis and evaluating the situation emergency compared to emergency physicians using simulated and standardized patients. PLOS ONE 2023;18(2):e0277568 View
  8. Kang D, Kim S, Kim H, Lee M, Kong S, Chang Y, Sim S, Kim Y, Cho J. Surveillance of Symptom Burden Using the Patient-Reported Outcome Version of the Common Terminology Criteria for Adverse Events in Patients With Various Types of Cancers During Chemoradiation Therapy: Real-World Study. JMIR Public Health and Surveillance 2023;9:e44105 View
  9. Kopka M, Scatturin L, Napierala H, Fürstenau D, Feufel M, Balzer F, Schmieding M. Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study. Journal of Medical Internet Research 2023;25:e46231 View
  10. Riboli-Sasco E, El-Osta A, Alaa A, Webber I, Karki M, El Asmar M, Purohit K, Painter A, Hayhoe B. Triage and Diagnostic Accuracy of Online Symptom Checkers: Systematic Review. Journal of Medical Internet Research 2023;25:e43803 View
  11. Hourizadeh J, Zeltser R, Makaryus A, Druz R. Real-World Evaluation of a Chest Pain Digital Triage Platform at the Point of Care. Southern Medical Journal 2023;116(11):857 View
  12. Wetzel A, Klemmt M, Müller R, Rieger M, Joos S, Koch R. Only the anxious ones? Identifying characteristics of symptom checker app users: a cross-sectional survey. BMC Medical Informatics and Decision Making 2024;24(1) View
  13. Müller R, Klemmt M, Koch R, Ehni H, Henking T, Langmann E, Wiesing U, Ranisch R. “That’s just Future Medicine” - a qualitative study on users’ experiences of symptom checker apps. BMC Medical Ethics 2024;25(1) View
  14. Hammoud M, Douglas S, Darmach M, Alawneh S, Sanyal S, Kanbour Y. Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study. JMIR AI 2024;3:e46875 View
  15. Lekkas D, Yom-Tov E, Heinz M, Gyorda J, Nguyen T, Barr P, Jacobson N. The trajectories of online mental health information seeking: Modeling search behavior before and after completion of self-report screens. Computers in Human Behavior 2024;157:108267 View
  16. Augusto Duenhas Accorsi T, Tocci Moreira F, Aires Eduardo A, Albaladejo Morbeck R, Francine Köhler K, De Amicis Lima K, Henrique Sartorato Pedrotti C. Outcome After Self-Triage App Referral in Urgent Direct-to-Consumer Telemedicine Encounter. Telemedicine and e-Health 2024;30(8):2142 View
  17. Liu V, Kaila M, Koskela T. Triage Accuracy and the Safety of User-Initiated Symptom Assessment With an Electronic Symptom Checker in a Real-Life Setting: Instrument Validation Study. JMIR Human Factors 2024;11:e55099 View
  18. Kopka M, Feufel M. Software symptomcheckR: an R package for analyzing and visualizing symptom checker triage performance. BMC Digital Health 2024;2(1) View
  19. Aissaoui Ferhi L, Ben Amar M, Choubani F, Bouallegue R. Empowering Medical Diagnosis: A Machine Learning Approach for Symptom-Based Health Checker. Mobile Networks and Applications 2024 View
  20. North F, Buss R, Nelson E, Thompson M, Pecina J, Crum B. Patient Opportunities to Self-Schedule in a Large Multisite, Multispecialty Medical Practice: Program Description and Uptake of 7 Unique Processes for Patients to Successfully Self-Schedule (and Reschedule) Their Medical Appointments. Health Services Research and Managerial Epidemiology 2024;11 View
  21. Wetzel A, Preiser C, Müller R, Joos S, Koch R, Henking T, Haumann H. Unveiling Usage Patterns and Explaining Usage of Symptom Checker Apps: Explorative Longitudinal Mixed Methods Study. Journal of Medical Internet Research 2024;26:e55161 View