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Internet-based technology in multiple sclerosis: Exploring perceived use and skills and actual performance
Yael Goverover1, Brocha Z Stern2, Amy Hurst2
1Department of Occupational Therapy, Steinhardt School of Culture, Education, and Human Development, New York University.
Neuropsychology
|January 4, 2021
Summary
People with multiple sclerosis (MS) show lower internet-based technology (IBT) performance than healthy individuals. Improving IBT skills and perceptions is key to enhancing participation for those with MS.
Area of Science:
- Rehabilitation research
- Human-computer interaction
- Neuroscience
Background:
- Internet-based technology (IBT) is integral to daily life.
- Individuals with multiple sclerosis (MS) may encounter challenges using IBT.
- Understanding these barriers is crucial for promoting digital inclusion.
Purpose of the Study:
- Compare IBT perceived use, skills, and actual performance between persons with MS and healthy controls (HCs).
- Investigate IBT perceptions as a predictor of IBT performance in persons with MS, beyond other factors.
Main Methods:
- 96 individuals with MS and 65 HCs (aged 18-65) completed self-report and performance-based IBT measures.
- Cognition, motor function, and affect were assessed at a single time point.
- Multivariate models were used to identify unique predictors of IBT performance.
Main Results:
- The MS group reported lower IBT use/skills and showed poorer performance (accuracy, speed) than HCs.
- IBT perceptions correlated with performance in the MS group.
- Processing speed, disease duration, and IBT perceptions were unique predictors of IBT performance in MS.
Conclusions:
- Persons with MS exhibit diminished IBT performance, potentially limiting participation.
- Processing speed and user perceptions of IBT are critical considerations for technology design and training.
- Interventions should aim to enhance IBT capabilities for individuals with MS to support daily living.
