Delays in multiple sclerosis diagnosis in the United Kingdom (DIMES) – A multicentre observational study

<h3>Background</h3> Early recognition and treatment of multiple sclerosis (MS) is predicated on efficient diagnostic pathways. Factors underlying diagnostic delays remain understudied. <h3>Methods</h3> DIMES is an original, observational study in the UK. A collaborative network was used to capture data directly from clinical records. Individuals diagnosed with MS between July and December 2022 were eligible. We captured symptoms, investigations, and sociodemographic characteristics of patients, and evaluated factors associated with diagnostic delay through regression models. <h3>Results</h3> 505 patients across 24 UK centres were included. Age (mean 41.6 years, +/- 13.1), sex (69% female), ethnicity (59% white), and MS type (81% relapsing-remitting) distributions matched contemporary registries. The most common presenting symptoms were sensory 59%, motor 45%, and visual 29%. Mean time from referral to neurology, to diagnosis, was 9.08 months. Mean time from symptoms prompting referral to neurology, to diagnosis, was 10.2 months. The most common source of referral was primary care (40%). Older age, non-MS-specialist diagnosing clinic, and history of MS mimic/misdiagnosis, were associated with diagnostic delay (all p&lt;0.01). <h3>Discussion</h3> Demographic and clinical factors associated with MS diagnostic delay appear to be relatively limited; however increased access to specialist clinics has the potential to streamline services.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1136/jnnp-2024-abn.220
Citations
1
Primary Topic
Systemic Sclerosis and Related Diseases
Type
article
Field-Weighted Citation Impact
0.42
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article

Delays in multiple sclerosis diagnosis in the United Kingdom (DIMES) – A multicentre observational study

Mathews Joela, Hobart Jeremy, Rog David, Henshall David et al.
1 citations
Systemic Sclerosis and Related Diseases
0.42
article

Delays in multiple sclerosis diagnosis in the United Kingdom (DIMES) – A multicentre observational study

Mathews Joela, Hobart Jeremy, Rog David, Henshall David, Dobson Ruth, Kuri Ashvin, Chaudhry Daoud, Ooi Setthasorn, Zhang Qiqi, Thomson Alison
article en
1 citations

Abstract

<h3>Background</h3> Early recognition and treatment of multiple sclerosis (MS) is predicated on efficient diagnostic pathways. Factors underlying diagnostic delays remain understudied. <h3>Methods</h3> DIMES is an original, observational study in the UK. A collaborative network was used to capture data directly from clinical records. Individuals diagnosed with MS between July and December 2022 were eligible. We captured symptoms, investigations, and sociodemographic characteristics of patients, and evaluated factors associated with diagnostic delay through regression models. <h3>Results</h3> 505 patients across 24 UK centres were included. Age (mean 41.6 years, +/- 13.1), sex (69% female), ethnicity (59% white), and MS type (81% relapsing-remitting) distributions matched contemporary registries. The most common presenting symptoms were sensory 59%, motor 45%, and visual 29%. Mean time from referral to neurology, to diagnosis, was 9.08 months. Mean time from symptoms prompting referral to neurology, to diagnosis, was 10.2 months. The most common source of referral was primary care (40%). Older age, non-MS-specialist diagnosing clinic, and history of MS mimic/misdiagnosis, were associated with diagnostic delay (all p&lt;0.01). <h3>Discussion</h3> Demographic and clinical factors associated with MS diagnostic delay appear to be relatively limited; however increased access to specialist clinics has the potential to streamline services.

Queen Mary University of London (GB), Royal Stoke University Hospital (GB), Royal London Hospital (GB), University of Manchester (GB), University of Wales Institute Cardiff (SG), University of Plymouth (GB), University of Edinburgh (GB)
Good health and well-being
Openalex Percentile: Top 33%
Systemic Sclerosis and Related Diseases
0.42
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