Evidence map›Paper›PMID 26438399›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2016

Multiple sclerosis: relapses, resource use, and costs.

A J Hawton, C Green

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Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

A J HawtonHealth Economics Group, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, Devon, EX1 2LU, UK. a.hawton@exeter.ac.uk.
C GreenHealth Economics Group, University of Exeter Medical School, University of Exeter, South Cloisters, St Luke's Campus, Magdalen Road, Exeter, Devon, EX1 2LU, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRelapses can have a major impact on the lives of people with multiple sclerosis (MS), and yet relapse-related healthcare costs have received little attention. This has limited cost-effectiveness analyses of treatments for MS and hampered decision-making regarding the funding of MS healthcare services.

objectiveTo describe health/social care resource use and costs according to the frequency, severity, and endurance of MS relapses.

methodsData from the prospective, longitudinal UK South West Impact of Multiple Sclerosis cohort were used. A total of 11,800 questionnaires from 1441 people with MS were available, including data on relapses, contacts with health/social care professionals, and other MS-related resource use.

resultsThe mean (SD) 6-monthly MS-related health/social care cost for individuals who reported a relapse was £519 (£949), compared to £229 (£366) for those who had not did report a relapse. Care costs varied widely dependent on the characteristics of the relapse. The mean (SD) cost when a relapse was not treated with steroids was £381 (£780), whilst the equivalent cost was £3579 (£1727) when a relapse resulted in hospitalization.

conclusionsThe impact of relapses on health and social care resources and costs differs according to their frequency, length, and severity. The data provided here can be used in cost-effectiveness analyses and to inform decision-making regarding healthcare provision for people with this condition.

Indexed as

Cost of IllnessAdolescentAdultAgedAged, 80 and overFemaleHealth ExpendituresHealth ServicesHumansMaleMiddle AgedModels, EconometricMultiple SclerosisMultiple Sclerosis, Relapsing-RemittingProspective StudiesSeverity of Illness IndexCost-effectivenessCostsDecision-makingMultiple sclerosisRelapseResource use

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.