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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (325) Quality/Credibility of eHealth Information and Trust Issues (654) Mobile Health (mhealth) (3463) Usability of Apps and User Perceptions of mHealth (1188) Consumer & Patient Education and Shared-Decision Making (862) Symptom Checkers (42) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Clinical Information and Decision Making (1914) Artificial Intelligence (2127) Design and Evaluation of Patient Education Materials (117)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35219, first published .
Determinants of Laypersons’ Trust in Medical Decision Aids: Randomized Controlled Trial

Determinants of Laypersons’ Trust in Medical Decision Aids: Randomized Controlled Trial

Determinants of Laypersons’ Trust in Medical Decision Aids: Randomized Controlled Trial

Authors of this article:

Marvin Kopka1, 2 Author Orcid Image ;   Malte L Schmieding1 Author Orcid Image ;   Tobias Rieger3 Author Orcid Image ;   Eileen Roesler3 Author Orcid Image ;   Felix Balzer1 Author Orcid Image ;   Markus A Feufel4 Author Orcid Image
Article Authors Cited by (23) Tweetations (3) Metrics

Journals

  1. Kopka M, Feufel M, Balzer F, Schmieding M. The Triage Capability of Laypersons: Retrospective Exploratory Analysis. JMIR Formative Research 2022;6(10):e38977 View
  2. 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
  3. Gellert G, Rasławska-Socha J, Marcjasz N, Price T, Kuszczyński K, Młodawska A, Jędruch A, Orzechowski P. How Virtual Triage Can Improve Patient Experience and Satisfaction: A Narrative Review and Look Forward. Telemedicine Reports 2023;4(1):292 View
  4. 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
  5. Liu V, Koskela T, Kaila M. User-Initiated Symptom Assessment With an Electronic Symptom Checker: Protocol for a Mixed Methods Validation Study. JMIR Research Protocols 2023;12:e41423 View
  6. Kopka M, Feufel M, Berner E, Schmieding M. How suitable are clinical vignettes for the evaluation of symptom checker apps? A test theoretical perspective. DIGITAL HEALTH 2023;9 View
  7. Peven K, Wickham A, Wilks O, Kaplan Y, Marhol A, Ahmed S, Bamford R, Cunningham A, Prentice C, Meczner A, Fenech M, Gilbert S, Klepchukova A, Ponzo S, Zhaunova L. Assessment of a Digital Symptom Checker Tool's Accuracy in Suggesting Reproductive Health Conditions: Clinical Vignettes Study. JMIR mHealth and uHealth 2023;11:e46718 View
  8. 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
  9. Wetzel A, Koch R, Koch N, Klemmt M, Müller R, Preiser C, Rieger M, Rösel I, Ranisch R, Ehni H, Joos S. ‘Better see a doctor?’ Status quo of symptom checker apps in Germany: A cross-sectional survey with a mixed-methods design (CHECK.APP). DIGITAL HEALTH 2024;10 View
  10. Küper A, Krämer N. Psychological Traits and Appropriate Reliance: Factors Shaping Trust in AI. International Journal of Human–Computer Interaction 2024:1 View
  11. Kopka M, Feufel M. Software symptomcheckR: an R package for analyzing and visualizing symptom checker triage performance. BMC Digital Health 2024;2(1) View
  12. Khorev V, Kiselev A, Badarin A, Antipov V, Drapkina O, Kurkin S, Hramov A. Review on the use of AI-based methods and tools for treating mental conditions and mental rehabilitation. The European Physical Journal Special Topics 2025;234(15):4139 View
  13. 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
  14. Kopka M, Napierala H, Privoznik M, Sapunova D, Zhang S, Feufel M. The RepVig framework for designing use-case specific representative vignettes and evaluating triage accuracy of laypeople and symptom assessment applications. Scientific Reports 2024;14(1) View
  15. Kopka M, Wang S, Kunz S, Schmid C, Feufel M. Technology-supported self-triage decision making. npj Health Systems 2025;2(1) View
  16. Koch R, Steffen M, Wetzel A, Preiser C, Klemmt M, Ehni H, Mueller R, Joos S. Exploring Laypersons’ Experiences With a Mobile Symptom Checker App as an Interface Between eHealth Literacy, Health Literacy, and Health-Related Behavior: Qualitative Interview Study. JMIR Formative Research 2025;9:e60647 View
  17. Küper A, Lodde G, Livingstone E, Schadendorf D, Krämer N. Psychological Factors Influencing Appropriate Reliance on AI-enabled Clinical Decision Support Systems: Experimental Web-Based Study Among Dermatologists. Journal of Medical Internet Research 2025;27:e58660 View
  18. Afifi S, Bakti I, Yaman A, Sumaedi S. A behavioral intention model of Gen Z female’ health information behavior on social media. Aslib Journal of Information Management 2025 View
  19. Shamszare H, Chaudhry Z, Berenji M, Choudhury A. Conceptualizing Clinicians’ Trust in Artificial Intelligence as a Function of Their Expertise, Workload, Patient Outcome, Diagnosis Difficulty, and AI Accuracy: A Systems Thinking Approach. IEEE Access 2025;13:119601 View
  20. Guo S, Song Y, Chen G, Han H, Wu H, Ma J. Promoting trust and intention to adopt health information generated by ChatGPT among healthcare customers: An empirical study. DIGITAL HEALTH 2025;11 View
  21. Ilicki J, Edman S, Stalfors J, Molin C. Evaluating digital triage symptom checker with historical triage-related adverse events. Scandinavian Journal of Primary Health Care 2025:1 View
  22. Liu Y, Wang Z, Peng B. Understanding the Impact of AI Doctors’ Information Quality on Patients’ Intentions to Adopt AI for Independent Diagnosis: Scenario-Based Experimental Study. Journal of Medical Internet Research 2025;27:e62885 View
  23. Wiener R, Abuhalimeh B, Ayatollahi H. Evaluating adult digital health literacy, 2020–2025: A systematic review. PLOS Digital Health 2025;4(11):e0001075 View