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

Viewpoints and Perspectives (484) Quality/Credibility of eHealth Information and Trust Issues (489) Quality Evaluation and Descriptive Analysis/Reviews of Multiple Existing Mobile Apps (362) Mobile Health (mhealth) (2765)

Published on in Vol 24, No 7 (2022): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/39590, first published .
Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Assessing a New Prescreening Score for the Simplified Evaluation of the Clinical Quality and Relevance of eHealth Apps: Instrument Validation Study

Authors of this article:

Nicolas Wagneur1 Author Orcid Image ;   Patrick Callier2, 3 Author Orcid Image ;   Jean-David Zeitoun3, 4 Author Orcid Image ;   Denise Silber3, 5 Author Orcid Image ;   Remi Sabatier3, 6 Author Orcid Image ;   Fabrice Denis1, 3 Author Orcid Image
Article Authors Cited by (4) Tweetations (18) Metrics

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  2. Dony P, Florquin R, Forget P. Big data in anaesthesia: a narrative, nonsystematic review. European Journal of Anaesthesiology Intensive Care 2023;2(5):e0032 View
  3. Monnier J, L’Orphelin J, Bataille M. Intelligence artificielle en dermatologie : implications pratiques. Annales de Dermatologie et de Vénéréologie - FMC 2024;4(3):203 View
  4. Gomis-Pastor M, Berdún J, Borrás-Santos A, De Dios López A, Fernández-Montells Rama B, García-Esquirol Ó, Gratacòs M, Ontiveros Rodríguez G, Pelegrín Cruz R, Real J, Bachs i Ferrer J, Comella A. Clinical Validation of Digital Healthcare Solutions: State of the Art, Challenges and Opportunities. Healthcare 2024;12(11):1057 View