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

Symptom Checkers (26) Demographics of Users, Social & Digital Divide (679) mHealth for Screening (193) Mobile Health (mhealth) (2765) Web-based and Mobile Health Interventions (3114)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/46231, first published .
Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study

Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study

Characteristics of Users and Nonusers of Symptom Checkers in Germany: Cross-Sectional Survey Study

Authors of this article:

Marvin Kopka1, 2 Author Orcid Image ;   Lennart Scatturin1 Author Orcid Image ;   Hendrik Napierala3 Author Orcid Image ;   Daniel Fürstenau1, 4 Author Orcid Image ;   Markus A Feufel2 Author Orcid Image ;   Felix Balzer1 Author Orcid Image ;   Malte L Schmieding1 Author Orcid Image
Article Authors Cited by (3) Tweetations (7) Metrics

Journals

  1. 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
  2. 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
  3. Turnbull J, Prichard J, MacLellan J, Pope C. eHealth Literacy and the Use of NHS 111 Online Urgent Care Service in England: Cross-Sectional Survey. Journal of Medical Internet Research 2024;26:e50376 View