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

Formative Evaluation of Digital Health Interventions (3229) mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1732) Mobile Health (mhealth) (3464) Mobile Health in Psychiatry (527) Usability of Apps and User Perceptions of mHealth (1188) Cognitive and Neurorehabilitation (349) Usability Evaluation Case Studies (259)

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 (8) 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
  3. Denissen S, Van Laethem D, Baijot J, Costers L, Descamps A, Van Remoortel A, Van Merhaegen-Wieleman A, D’hooghe M, D'Haeseleer M, Smeets D, Sima D, Van Schependom J, Nagels G. A New Smartphone-Based Cognitive Screening Battery for Multiple Sclerosis (icognition): Validation Study. Journal of Medical Internet Research 2025;27:e53503 View
  4. Goga J, Ginell K, Ng Y, Ehde D, Alschuler K, Sliwinski M, Fritz N, Kratz A. Feasibility, reliability, and validity of ambulatory smartphone-administered cognitive tests in multiple sclerosis. Multiple Sclerosis Journal 2025;31(3):363 View
  5. Balz L, Uttner I, Taranu D, Erhart D, Fangerau T, Jung S, Schreiber H, Senel M, Vardakas I, Lulé D, Tumani H. Sensitivity and Specificity of a Revised Version of the TRACK-MS Screening Battery for Early Detection of Cognitive Impairment in Patients with Multiple Sclerosis. Biomedicines 2025;13(8):1902 View
  6. Hämäläinen P, Lämsä E, Viitala M, Kuusisto H, Niiranen M, Avikainen S, Puustinen J, Ryytty M, Ruutiainen J, Soilu-Hänninen M. Finnish Registry-Based Protocol for Screening and Management of Fatigue and Cognitive Problems in Multiple Sclerosis: Observational Study. JMIR Human Factors 2025;12:e67990 View
  7. Balconi J, Langdon D, Dhakal B, Benedict R. An Update on New Approaches to Cognitive Assessment in Multiple Sclerosis. NeuroSci 2025;6(3):87 View
  8. Ponzano M, Fedriga M, Signori A, Bergamaschi R, Schiavetti I, Landi D, Lavorgna L, Di Sapio A, Fantozzi R, Marinelli F, Sormani M. Social determinants of health in multiple sclerosis in Italy: A scoping review. Multiple Sclerosis Journal 2025 View