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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

Authors of this article:

Pim van Oirschot 1 Author Orcid Image ;   Marco Heerings 2, 3 Author Orcid Image ;   Karine Wendrich 4 Author Orcid Image ;   Bram den Teuling 1 Author Orcid Image ;   Marijn B Martens 5, 6 Author Orcid Image ;   Peter J Jongen 7, 8 Author Orcid Image
Article Authors Cited by (13) Tweetations (7) Metrics

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