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

Research Instruments, Questionnaires, and Tools (545) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (792) Patient-Reported Outcome Measures (PROMs) (275) Dementia and Cognitive Decline (429) Diagnostic Tools in Mental Health (224) Cognitive and Neurorehabilitation (237)

Published on in Vol 22, No 9 (2020): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18234, first published .
A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test

A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test

A Rapid Electronic Cognitive Assessment Measure for Multiple Sclerosis: Validation of Cognitive Reaction, an Electronic Version of the Symbol Digit Modalities Test

Authors of this article:

Rod M Middleton1 Author Orcid Image ;   Owen R Pearson2 Author Orcid Image ;   Gillian Ingram2 Author Orcid Image ;   Elaine M Craig1 Author Orcid Image ;   William J Rodgers1 Author Orcid Image ;   Hannah Downing-Wood3 Author Orcid Image ;   Joseph Hill3 Author Orcid Image ;   Katherine Tuite-Dalton1 Author Orcid Image ;   Christopher Roberts1 Author Orcid Image ;   Lynne Watson2 Author Orcid Image ;   David V Ford1 Author Orcid Image ;   Richard Nicholas3 Author Orcid Image ;   UK MS Register Research Group4
Article Authors Cited by (8) Tweetations (6) Metrics

Journals

  1. Fuchs T, Gillies J, Jaworski M, Wilding G, Youngs M, Weinstock-Guttman B, Benedict R. Repeated forms, testing intervals, and SDMT performance in a large multiple sclerosis dataset. Multiple Sclerosis and Related Disorders 2022;68:104375 View
  2. Hsu W, Rowles W, Anguera J, Anderson A, Younger J, Friedman S, Gazzaley A, Bove R. Assessing Cognitive Function in Multiple Sclerosis With Digital Tools: Observational Study. Journal of Medical Internet Research 2021;23(12):e25748 View
  3. Dillenseger A, Weidemann M, Trentzsch K, Inojosa H, Haase R, Schriefer D, Voigt I, Scholz M, Akgün K, Ziemssen T. Digital Biomarkers in Multiple Sclerosis. Brain Sciences 2021;11(11):1519 View
  4. Gupta A. Digital Phenotyping in Clinical Neurology. Seminars in Neurology 2022;42(01):048 View
  5. Topcu G, Smith L, Mhizha-Murira J, Goulden N, Hoare Z, Drummond A, Fitzsimmons D, Evangelou N, Schmierer K, Tallantyre E, Leighton P, Allen-Philbey K, Stennett A, Bradley P, Bale C, Turton J, das Nair R. Neuropsychological evaluation and rehabilitation in multiple sclerosis (NEuRoMS): protocol for a mixed-methods, multicentre feasibility randomised controlled trial. Pilot and Feasibility Studies 2022;8(1) View
  6. Lerede A, Rodgers J, Middleton R, Hampshire A, Nicholas R, Coles A, Chataway J, Duddy M, Emsley H, Ford H, Fisniku L, Galea I, Harrower T, Hobart J, Huseyin H, Kipps C, Marta M, McDonnell G, McLean B, Pearson O, Rog D, Schmierer K, Sharrack B, Straukiene A, Ford D. Patient-reported outcomes in multiple sclerosis: a prospective registry cohort study. Brain Communications 2023;5(4) View
  7. Ferreira V, Metting E, Schauble J, Seddighi H, Beumeler L, Gallo V. eHealth tools to assess the neurological function for research, in absence of the neurologist – a systematic review, part I (software). Journal of Neurology 2024;271(1):211 View
  8. Stahmann A, Craig E, Ellenberger D, Fneish F, Frahm N, Marrie R, Middleton R, Nicholas R, Rodgers J, Warnke C, Salter A. Disease-modifying therapy initiation patterns in multiple sclerosis in three large MS populations. Therapeutic Advances in Neurological Disorders 2024;17 View