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

Formative Evaluation of Digital Health Interventions (2491) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1428) Mobile Health (mhealth) (2982) Mobile Health in Psychiatry (438) Usability of Apps and User Perceptions of mHealth (993) Cognitive and Neurorehabilitation (267) Usability Evaluation Case Studies (196)

Published on in Vol 8 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56074, first published .
Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

Mobile Health App (DIGICOG-MS) for Self-Assessment of Cognitive Impairment in People With Multiple Sclerosis: Instrument Validation and Usability Study

Authors of this article:

Jessica Podda1 Author Orcid Image ;   Andrea Tacchino1 Author Orcid Image ;   Michela Ponzio1 Author Orcid Image ;   Federica Di Antonio1 Author Orcid Image ;   Alessia Susini1 Author Orcid Image ;   Ludovico Pedullà1 Author Orcid Image ;   Mario Alberto Battaglia2 Author Orcid Image ;   Giampaolo Brichetto1 Author Orcid Image
Article Authors Cited by (2) Tweetations (1) Metrics

Journals

  1. Podda J, Grange E, Susini A, Tacchino A, Di Antonio F, Pedullà L, Brichetto G, Ponzio M. Italian Version of the mHealth App Usability Questionnaire (Ita-MAUQ): Translation and Validation Study in People With Multiple Sclerosis. JMIR Human Factors 2024;11:e58079 View
  2. Wu W, Zuo E, Zhang W, Meng X. Multi-physiological signal fusion for objective emotion recognition in educational human–computer interaction. Frontiers in Public Health 2024;12 View