WED 163 Monitoring for outcome assessment and trial recruitment of pwms
BackgroundThe time constraint of NHS care is difficult to reconcile with the comprehensive neurological assessment required to complete a mandatory EDSS for NHS England funded disease modifying treatment of people with multiple sclerosis (pwMS). We report our experience with parametric data collecti...
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Published in | Journal of neurology, neurosurgery and psychiatry Vol. 89; no. 10; p. A20 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
London
BMJ Publishing Group LTD
01.10.2018
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Subjects | |
Online Access | Get full text |
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Summary: | BackgroundThe time constraint of NHS care is difficult to reconcile with the comprehensive neurological assessment required to complete a mandatory EDSS for NHS England funded disease modifying treatment of people with multiple sclerosis (pwMS). We report our experience with parametric data collection in order to (i) inform DMT decisions and (ii) improve characterisation for recruitment of pwMS in clinical trials.MethodsWe implemented a battery consisting of the symbol digit modality test, 9-hole-peg-test, 25ft walking test and ABILHAND. pwMS were encouraged to sign up to the MS Register to record patient reported outcomes and ‘webEDSS’. Data from the MS Register and BartsMS Database were electronically linked.Results334 pwMS at different disease stages (EDSS 0–8.5) have been assessed at least annually. Of these, 64% had a relapsing and 36% a progressive disease course. Clinically meaningful data was obtained and displayed in an engaging portal for interpretation by the clinical team and pwMS.ConclusionIt’s feasible to implement multidimensional monitoring of pwMS to benefit (i) management of pwMS and (ii) trial recruitment, particularly for pwMS with EDSS >6.5. Longitudinal follow-up and data analysis is underway. Standardisation of a simple, regularly collected, dataset may improve performance assessment between centres. |
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ISSN: | 0022-3050 1468-330X |
DOI: | 10.1136/jnnp-2018-ABN.72 |