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Updated: Apr 18, 2026

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The Multiple Sclerosis Performance Test MSPT: An iPad-Based Disability Assessment Tool
Published on: June 30, 2014
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Remote cognitive assessments for patients with multiple sclerosis: a feasibility study.
Jill R Settle1, Stephanie A Robinson2, Robert Kane3
1Veterans Affairs Medical Center, Washington, DC/ Veterans Affairs Multiple Sclerosis Center of Excellence-East, USA jill.settle@va.gov.
Summary
Remote cognitive assessments using Automated Neuropsychological Assessment Metrics (ANAM-MS) are feasible for multiple sclerosis (MS) patients. While ANAM-MS scores were consistent, the Symbol Digit Modalities Test (SDMT) showed differences, suggesting a need for telehealth-specific norms.
Area of Science:
- Neuroscience
- Clinical Psychology
- Rehabilitation Medicine
Background:
- Cognitive function assessment in multiple sclerosis (MS) is hindered by patient travel challenges.
- Developing accessible remote assessment methods is crucial for MS patient care.
Purpose of the Study:
- To evaluate the feasibility of remote cognitive assessment for MS patients.
- To compare in-office versus remote administration of the Automated Neuropsychological Assessment Metrics (ANAM-MS) and the Symbol Digit Modalities Test (SDMT).
Main Methods:
- Patients with MS (n=24) were randomized to in-office or remote testing conditions first, completing both.
- A subset (n=20) underwent a final remote-in-home session.
- All remote sessions were proctored via secure telehealth by a psychologist.
Main Results:
- ANAM-MS summary scores showed no significant differences across live and remote settings (p=0.124).
- Symbol Digit Modalities Test (SDMT) scores differed significantly between live and remote conditions (p=0.018).
- Telehealth testing resulted in high satisfaction and significant cost savings (>$144 per session).
Conclusions:
- Remote cognitive evaluation using ANAM-MS is a valid approach for MS patients.
- The SDMT may require adapted norms or implementation for accurate remote assessment in MS.
- Telehealth offers a practical, cost-effective solution for cognitive monitoring in MS.

