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Multiple Sclerosis Performance Test: Technical Development and Usability

delete2019-05-03
delete45
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OA
AI
J
Jane Rhodes
D
David Schindler
S
Stephen M. Rao
F
Fernando Venegas
E
Efrosini T. Bruzik
W
Wendy Gabel
J
James R. Williams
G
Glenn Phillips
C
Colleen C. Mullen
J
Jaime L. Freiburger
L
Lyla Mourany
C
Christine Reece
D
Deborah Miller
F
François Béthoux
R
Robert A Bermel
L
Lauren Krupp
E
Ellen M. Mowry
J
Jay L. Alberts
R
Richard A. Rudick *
DOI:10.1007/s12325-019-00958-xdelete
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摘要

摘要

En 中文
IntroductionIn the clinic, the assessment of patients with multiple sclerosis (MS) is typically qualitative and non-standardized.ObjectivesTo describe the MS Performance Test (MSPT), an iPad Air((R)) 2 (Apple, Cupertino, CA, USA)-based neurological assessment platform allowing patients to input relevant information without the aid of a medical technician, creating a longitudinal, clinically meaningful, digital medical record. To report results from human factor (HF) and usability studies, and the initial large-scale implementation in a practice setting.MethodsThe HF study examined use-error patterns in small groups of MS patients and healthy controls (n=14), the usability study assessed the effectiveness of patient interaction with the tool by patients with a range of MS disability (n=60) in a clinical setting, and the implementation study deployed the MSPT across a diverse population of patients (n=1000) in a large MS center for routine clinical care.ResultsMSPT assessments were completed by all users in the HF study; minor changes to design were recommended. In the usability study, 73% of patients with MS completed the MSPT, with an average administration time of 32min; 85% described their experience with the tool as satisfactory. In the initial implementation for routine care, 84% of patients with MS completed the MSPT, with an average administration time of 28min.ConclusionPatients with MS with varying disability levels completed the MSPT with minimal or no supervision, resulting in comprehensive, efficient, standardized, quantitative, clinically meaningful data collection as part of routine medical care, thus allowing for large-scale, real-world evidence generation.FundingBiogen.Trial RegistrationNCT02664324.
Keyword:
Digital assessment
Functional performance outcome measures
Multiple sclerosis
Multiple sclerosis functional composite
Neurology
Neuro-QoL
PerfOs
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Advances in Therapy 封面图
Advances in Therapy
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nyu langone medical center
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Biogen
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New York University
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Johns Hopkins University
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cleveland clinic foundation
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