Krishnan Padmakumari Sivaraman Nair
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Co-designed upgrading of the Sheffield Adaptive Patterned Electrical Stimulation (SHAPES) device followed by a powered multi-arm randomised control trial of SHAPES for post-stroke arm spasticity therapy.
Open Date: 2020-01-01
Close Date: 2023-01-01
Grant: Close
Role of Remote Ischaemic Preconditioning on Activity, Fatigue and Gait in people with Multiple Sclerosis.
Open Date: 2019-10-01
Close Date:
Grant: Close
Feasibility study for a randomised control trial for the acceptability of Exoskeleton assisted walking compared to standard exercise training for persons with mobility issues due to multiple sclerosis (ExoMS Study)
Open Date: 2019-01-01
Close Date: 2023-01-01
Grant: Close
UPPER LIMB TELEREHABILITATION USING BRAIN -CONTROLLED FUNCTIONAL ELECTRICAL STIMULATION
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Articles (11)
Background: We developed a 29-item Questionnaire, Long-term Unmet Needs in MS (LUN-MS) to identify the unmet needs of people with multiple sclerosis (pwMS). Objective: To assess acceptability, test-retest reliability, internal consistency, and validity of the LUN-MS. Methods: Participants completed the LUN-MS and MSIS-29 twice, four weeks apart. Acceptability was assessed by looking at the response rate in each time point. Reliability was calculated by comparing the response during the two time points using Cohen’s weighted kappa. Using principal component analysis, the dimensionality of the questionnaire’s items was reduced, to five domains and the internal consistency of each domain was assessed using Cronbach’s alpha. Concurrent validity was tested by comparing the total LUN-MS score against MSIS-29 and EQ-5D-3L using Pearson’s product-moment correlation coefficient. Results: Among 88 participants, rate of completion at time points-1 and 2 was 96 and 80% respectively. Test-retest reliability for individual items was between fair to near-perfect (weighted Cohen’s kappa 0.39-0.81). The unmet needs could be divided into five internally consistent domains (Cronbach’s alpha 0.83-0.74): neuropsychological, ambulation, physical, interpersonal relationship and informational. Concurrent validity with MSIS-29 ( r = 0.705, P < .001) and EQ-5D-3L ( r = 0.617, P < .001) were good. Conclusion: LUN-MS is a reliable, valid, and acceptable tool to identify the unmet needs of pwMS.
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2023
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2022
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2022
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2022
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2022
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2022
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2022
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2022
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2021
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2021
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2020
Collaborators (5)
Esther Hobson
Senior clinical lecturer
University of Sheffield
Claudia Mazzà
University of Sheffield
Arshad Majid
Professor
University of Sheffield
Louise Moody
Coventry University
Ali Ali
Senior Clinical Lecturer Cerebrovascular Disease
University of Sheffield
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