Published on in Vol 8, No 10 (2020): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18160, first published .
Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study

Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study

Symbol Digit Modalities Test Variant in a Smartphone App for Persons With Multiple Sclerosis: Validation Study

Journals

  1. Scholz M, Haase R, Schriefer D, Voigt I, Ziemssen T. Electronic Health Interventions in the Case of Multiple Sclerosis: From Theory to Practice. Brain Sciences 2021;11(2):180 View
  2. Lam K, van Oirschot P, den Teuling B, Hulst H, de Jong B, Uitdehaag B, de Groot V, Killestein J. Reliability, construct and concurrent validity of a smartphone-based cognition test in multiple sclerosis. Multiple Sclerosis Journal 2022;28(2):300 View
  3. Montalban X, Graves J, Midaglia L, Mulero P, Julian L, Baker M, Schadrack J, Gossens C, Ganzetti M, Scotland A, Lipsmeier F, van Beek J, Bernasconi C, Belachew S, Lindemann M, Hauser S. A smartphone sensor-based digital outcome assessment of multiple sclerosis. Multiple Sclerosis Journal 2022;28(4):654 View
  4. Wendrich K, Krabbenborg L. Digital Self-monitoring of Multiple Sclerosis: Interview Study With Dutch Health Care Providers on the Expected New Configuration of Roles and Responsibilities. JMIR mHealth and uHealth 2022;10(4):e30224 View
  5. Maltby V, Lea R, Reeves P, Saugbjerg B, Lechner-Scott J. Reduced cognitive function contributes to economic burden of multiple sclerosis. Multiple Sclerosis and Related Disorders 2022;60:103707 View
  6. Michaud J, Penny C, Cull O, Hervet E, Chamard-Witkowski L. Remote Testing Apps for Multiple Sclerosis Patients: Scoping Review of Published Articles and Systematic Search and Review of Public Smartphone Apps. JMIR Neurotechnology 2023;2:e37944 View
  7. Cloosterman S, Wijnands I, Huygens S, Wester V, Lam K, Strijbis E, den Teuling B, Versteegh M. The Potential Impact of Digital Biomarkers in Multiple Sclerosis in The Netherlands: An Early Health Technology Assessment of MS Sherpa. Brain Sciences 2021;11(10):1305 View
  8. Barrios L, Amon R, Oldrati P, Hilty M, Holz C, Lutterotti A. Cognitive fatigability assessment test (cFAST): Development of a new instrument to assess cognitive fatigability and pilot study on its association to perceived fatigue in multiple sclerosis. DIGITAL HEALTH 2022;8:205520762211177 View
  9. Mäcken J, Wiegand M, Müller M, Krawinkel A, Linnebank M. A Mobile App for Measuring Real Time Fatigue in Patients with Multiple Sclerosis: Introducing the Fimo Health App. Brain Sciences 2021;11(9):1235 View
  10. van Oirschot P, Heerings M, Wendrich K, den Teuling B, Dorssers F, van Ee R, Martens M, Jongen P. A Two-Minute Walking Test With a Smartphone App for Persons With Multiple Sclerosis: Validation Study. JMIR Formative Research 2021;5(11):e29128 View
  11. Lam K, Bucur I, Van Oirschot P, De Graaf F, Weda H, Strijbis E, Uitdehaag B, Heskes T, Killestein J, De Groot V. Towards individualized monitoring of cognition in multiple sclerosis in the digital era: A one-year cohort study. Multiple Sclerosis and Related Disorders 2022;60:103692 View
  12. Knox L, McDermott C, Hobson E. Telehealth in long-term neurological conditions: the potential, the challenges and the key recommendations. Journal of Medical Engineering & Technology 2022;46(6):506 View
  13. Foong Y, Bridge F, Merlo D, Gresle M, Zhu C, Buzzard K, Butzkueven H, van der Walt A. Smartphone monitoring of cognition in people with multiple sclerosis: A systematic review. Multiple Sclerosis and Related Disorders 2023;73:104674 View
  14. Piacentini C, Argento O, Nocentini U. Cognitive impairment in multiple sclerosis: “classic” knowledge and recent acquisitions. Arquivos de Neuro-Psiquiatria 2023;81(06):585 View
  15. Perumal T, Wolf D, Berchtold D, Pointeau G, Zhang Y, Cheng W, Lipsmeier F, Sprengel J, Czech C, Chiriboga C, Lindemann M. Digital measures of respiratory and upper limb function in spinal muscular atrophy: design, feasibility, reliability, and preliminary validity of a smartphone sensor-based assessment suite. Neuromuscular Disorders 2023;33(11):845 View
  16. Arenas-Vargas L, López-Reyes L, Cárdenas-Robledo S. Pruebas funcionales en esclerosis múltiple y su comparabilidad con los valores de administración autónoma: estudio piloto. Biomédica 2023;43(3):406 View
  17. Perzl J, Riedl E, Thomas J. Measuring Situational Cognitive Performance in the Wild: A Psychometric Evaluation of Three Brief Smartphone-Based Test Procedures. Assessment 2023 View
  18. Wenk J, Voigt I, Inojosa H, Schlieter H, Ziemssen T. Building digital patient pathways for the management and treatment of multiple sclerosis. Frontiers in Immunology 2024;15 View
  19. Navarro-López V, Cano-de-la-Cuerda R, Fernández-González P, Marcos-Antón S, Blázquez-Fernández A, Fernández-Cañas M, Fernández-Vázquez D. Reliability and Construct Validity of a Mobile Application for the Finger Tapping Test Evaluation in People with Multiple Sclerosis. Brain Sciences 2024;14(4):407 View
  20. Podda J, Tacchino A, Ponzio M, Di Antonio F, Susini A, Pedullà L, Battaglia M, Brichetto G. A Mobile Health App (DIGICOG-MS®) for Self-Assessment of Cognitive Impairment in People with Multiple Sclerosis: Instrument Validation and Usability Study (Preprint). JMIR Formative Research 2024 View
  21. Sanal-Hayes N, Mclaughlin M, Hayes L, Berry E, Sculthorpe N. Examining well-being and cognitive function in people with long Covid and ME/CFS, and age-matched healthy controls: A Case-Case-Control Study. The American Journal of Medicine 2024 View