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

Design and Usability of Consumer Health Tech and Home Monitoring Devices (189) Quality/Credibility of eHealth Information and Trust Issues (489) Mobile Health (mhealth) (2772) Usability of Apps and User Perceptions of mHealth (901) Consumer & Patient Education and Shared-Decision Making (638) Symptom Checkers (26) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1313) Clinical Information and Decision Making (1330) Artificial Intelligence (1205) Design and Evaluation of Patient Education Materials (63)
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 (10) 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