Literature DB >> 28080262

Processing speed test: Validation of a self-administered, iPad®-based tool for screening cognitive dysfunction in a clinic setting.

Stephen M Rao1, Genna Losinski1, Lyla Mourany1, David Schindler2, Bernadett Mamone3, Christine Reece1, Danielle Kemeny1, Sridar Narayanan4, Deborah M Miller5, Francois Bethoux5, Robert A Bermel5, Richard Rudick6, Jay Alberts2.   

Abstract

BACKGROUND: Cognitive dysfunction is common in multiple sclerosis (MS) patients and has important consequences for daily activities, yet, unlike motor function, is not routinely assessed in the clinic setting. We developed the Processing Speed Test (PST), a self-administered iPad®-based tool to measure MS-related deficits in processing speed.
OBJECTIVE: To determine whether the PST is valid for screening cognitive dysfunction by comparing it to the paper-and-pencil Symbol Digit Modalities Test (SDMT).
METHODS: We assessed PST test-retest reliability, sensitivity of PST and SDMT in discriminating MS patients from healthy controls (HC), convergent validity between PST and SDMT, correlations between T2 lesion load and PST and SDMT, and PST performance with and without technician present during administration.
RESULTS: PST had excellent test-retest reliability, was highly correlated with SDMT, was slightly more sensitive than SDMT in discriminating MS from HC groups, and correlated better with cerebral T2 lesion load than did SDMT. Finally, PST performance was no different with or without a technician in the testing environment.
CONCLUSION: PST has advantages over SDMT because of its efficient administration, scoring, and potential for medical record or research database integration. PST is a practical tool for routine screening of processing speed deficits in the MS clinic.

Entities:  

Keywords:  Multiple sclerosis; attention; cognition; magnetic resonance imaging; neuropsychology; test–retest reliability; validity of results

Mesh:

Year:  2017        PMID: 28080262     DOI: 10.1177/1352458516688955

Source DB:  PubMed          Journal:  Mult Scler        ISSN: 1352-4585            Impact factor:   6.312


  28 in total

1.  Digital Phenotyping in Clinical Neurology.

Authors:  Anoopum S Gupta
Journal:  Semin Neurol       Date:  2022-01-11       Impact factor: 3.212

2.  Technology-enabled assessments to enhance multiple sclerosis clinical care and research.

Authors:  Gabrielle Macaron; Brandon P Moss; Hong Li; Laura E Baldassari; Stephen M Rao; David Schindler; Jay L Alberts; Malory Weber; Malissa Ayers; François Bethoux; Adrienne Boissy; Desiree Chizmadia; Devon S Conway; Charlene Fink; Robert J Fox; Shauna Gales; Bethany Green; Claire Hara-Cleaver; Neal Jordan; Kedar R Mahajan; Marisa P McGinley; Deborah M Miller; Marie Namey; Alexander Rae-Grant; Mary Rensel; Hilary Young; Mary A Willis; Daniel Ontaneda; Jeffrey A Cohen; Robert A Bermel
Journal:  Neurol Clin Pract       Date:  2020-06

3.  Clinical characteristics of a large multi-center cohort of people with multiple sclerosis over age 60.

Authors:  Le H Hua; Carrie M Hersh; Fan Tian; Ellen M Mowry; Kathryn C Fitzgerald
Journal:  Mult Scler Relat Disord       Date:  2020-11-23       Impact factor: 4.339

4.  A self-administered, artificial intelligence (AI) platform for cognitive assessment in multiple sclerosis (MS).

Authors:  Seyed-Mahdi Khaligh-Razavi; Maryam Sadeghi; Mahdiyeh Khanbagi; Chris Kalafatis; Seyed Massood Nabavi
Journal:  BMC Neurol       Date:  2020-05-18       Impact factor: 2.474

Review 5.  Digital technologies as biomarkers, clinical outcomes assessment, and recruitment tools in Alzheimer's disease clinical trials.

Authors:  Michael Gold; Joan Amatniek; Maria C Carrillo; Jesse M Cedarbaum; James A Hendrix; Bradley B Miller; Julie M Robillard; J Jeremy Rice; Holly Soares; Maria B Tome; Ioannis Tarnanas; Gabriel Vargas; Lisa J Bain; Sara J Czaja
Journal:  Alzheimers Dement (N Y)       Date:  2018-05-24

6.  iCAMS: Assessing the Reliability of a Brief International Cognitive Assessment for Multiple Sclerosis (BICAMS) Tablet Application.

Authors:  Meghan Beier; Kevin Alschuler; Dagmar Amtmann; Abbey Hughes; Renee Madathil; Dawn Ehde
Journal:  Int J MS Care       Date:  2020 Mar-Apr

7.  Effectiveness of a Long-Term, Home-Based Aerobic Exercise Intervention on Slowing the Progression of Parkinson Disease: Design of the Cyclical Lower Extremity Exercise for Parkinson Disease II (CYCLE-II) Study.

Authors:  Jay L Alberts; Anson B Rosenfeldt; Cielita Lopez-Lennon; Erin Suttman; A Elizabeth Jansen; Peter B Imrey; Leland E Dibble
Journal:  Phys Ther       Date:  2021-11-01

Review 8.  Cognition in multiple sclerosis: State of the field and priorities for the future.

Authors:  James F Sumowski; Ralph Benedict; Christian Enzinger; Massimo Filippi; Jeroen J Geurts; Paivi Hamalainen; Hanneke Hulst; Matilde Inglese; Victoria M Leavitt; Maria A Rocca; Eija M Rosti-Otajarvi; Stephen Rao
Journal:  Neurology       Date:  2018-01-17       Impact factor: 9.910

9.  Harnessing Real-World Data to Inform Decision-Making: Multiple Sclerosis Partners Advancing Technology and Health Solutions (MS PATHS).

Authors:  Ellen M Mowry; Robert A Bermel; James R Williams; Tammie L S Benzinger; Carl de Moor; Elizabeth Fisher; Carrie M Hersh; Megan H Hyland; Izlem Izbudak; Stephen E Jones; Bernd C Kieseier; Hagen H Kitzler; Lauren Krupp; Yvonne W Lui; Xavier Montalban; Robert T Naismith; Jacqueline A Nicholas; Fabio Pellegrini; Alex Rovira; Maximilian Schulze; Björn Tackenberg; Mar Tintore; Madalina E Tivarus; Tjalf Ziemssen; Richard A Rudick
Journal:  Front Neurol       Date:  2020-08-07       Impact factor: 4.003

Review 10.  The Rationale for Monitoring Cognitive Function in Multiple Sclerosis: Practical Issues for Clinicians.

Authors:  Christos Bakirtzis; Panagiotis Ioannidis; Lambros Messinis; Grigorios Nasios; Elina Konstantinopoulou; Panagiotis Papathanasopoulos; Nikolaos Grigoriadis
Journal:  Open Neurol J       Date:  2018-05-31
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