The Multiple Sclerosis Performance Test (MSPT): an iPad-based disability assessment tool.

Area of Science:

• Neurology
• Neuroscience
• Biomedical Engineering

Background:

• Assessing neurological and neuropsychological impairment in multiple sclerosis (MS) presents significant challenges.
• Existing methods for quantifying MS-related disability require enhancement for precision and validity.

Purpose of the Study:

• To introduce and validate the Multiple Sclerosis Performance Test (MSPT), a novel computer-based platform for quantifying MS-related disability.
• To evaluate the MSPT's reliability, sensitivity, and clinical utility compared to traditional methods.

Main Methods:

• The MSPT was developed leveraging advances in computer technology, information technology, biomechanics, and clinical measurement science.
• The test was administered to 51 MS patients and 49 healthy controls (HC).
• MSPT performance was compared against technician-administered tests and patient-reported outcomes.

Main Results:

• MSPT scores demonstrated high reproducibility and strong correlations with technician-administered test scores.
• The MSPT effectively discriminated between MS patients and healthy controls, and between severe and mild MS cases.
• Reliability, sensitivity, and clinical meaningfulness of MSPT scores were favorable compared to traditional testing.

Conclusions:

• The MSPT offers a precise, valid, and reproducible method for measuring MS severity and disability.
• Its computer-based nature facilitates data integration, broad dissemination, and potential adaptation for remote or home-based assessments.
• The MSPT represents a transformative approach for MS clinical care and research, potentially accelerating progress in the field.