Evidence map›Paper›PMID 36149605›Full record

ArticleThe European journal of health economics : HEPAC : health economics in prevention and care2023

Using the EQ-5D-5L to investigate quality-of-life impacts of disease-modifying therapy policies for people with multiple sclerosis (MS) in New Zealand.

Suzi Claflin, Julie A Campbell, Richard Norman, Deborah F Mason, Tomas Kalincik, Steve Simpson-Yap, Helmut Butzkueven, William M Carroll, Andrew J Palmer, C Leigh Blizzard and 3 more

Abstract read
In one paragraph

Article in The European journal of health economics : HEPAC : health economics in prevention and care, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–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

5 citing papers in PubMed.

  1. Laxative use and chronic diarrhoea in older adults living in residential care.Nutrition & dietetics : the journal of the Dietitians Association of Australia · 2026
    Observational
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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

13 authors.

Suzi Claflin *Menzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia. Suzi.Claflin@utas.edu.au.
Julie A Campbell *Menzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia. Julie.Campbell@utas.edu.au.ORCID http://orcid.org/0000-0002-1820-6758
Richard NormanCurtin University, Perth, Australia.
Deborah F MasonNew Zealand Brain Research Institute, Christchurch, New Zealand.
Tomas KalincikCORe The University of Melbourne, Melbourne, Australia.
Steve Simpson-YapMenzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia.
Helmut ButzkuevenDepartment of Neuroscience, Monash University, Melbourne, Australia.
William M CarrollPerron Institute, Nedlands, Australia.
Andrew J PalmerMenzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia.
C Leigh BlizzardMenzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia.
Ingrid van der MeiMenzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia.
Glen J HensonMenzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia.
Bruce V TaylorMenzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia. Bruce.Taylor@utas.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth state utilities (HSU) are a health-related quality-of-life (HRQoL) input for cost-utility analyses used for resource allocation decisions, including medication reimbursement. New Zealand (NZ) guidelines recommend the EQ-5D instruments; however, the EQ-5D-5L may not sufficiently capture psychosocial health. We evaluated HRQoL among people with multiple sclerosis (MS) in NZ using the EQ-5D-5L and assessed the instrument's discriminatory sensitivity for a NZ MS cohort.

methodsParticipants were recruited from the NZ MS Prevalence Study. Participants self-completed a 45-min online survey that included the EQ-5D-5L/EQ-VAS. Disability severity was classified using the Expanded Disability Status Scale (EDSS) to categorise participant disability as mild (EDSS: 0-3.5), moderate (EDSS: 4.0-6.0) and severe (EDSS: 6.5-9.5). Anxiety/depression were also measured using the Hospital Anxiety and Depression Score (HADS). In the absence of an EQ-5D-5L NZ tariff, HSUs were derived using an Australian tariff. We evaluated associations between HSUs and participant characteristics with linear regression models.

results254 participants entered the study. Mean age was 55.2 years, 79.5% were female. Mean (SD) EQ-5D-5L HSU was 0.58 (0.33). Mean (SD) HSUs for disability categories were: mild 0.80 ± 0.17, moderate 0.57 ± 0.21 and severe 0.14 ± 0.32. Twelve percent reported HSU = 1.0 (i.e., no problems in any domain). Participants who had never used a disease-modifying therapy reported a lower mean HSU. Multivariable modelling found that the HADS anxiety score was not associated with EQ-5D-5L.

conclusionsHRQoL for people with MS in NZ was lower than comparable countries, including Australia. We suggest a comparison with other generic tools that may have improved sensitivity to mental health.

Indexed as

Multiple SclerosisAustraliaFemaleHealth StatusHumansMaleMiddle AgedNew ZealandPolicyQuality of LifeSurveys and QuestionnairesCost-effectiveness analysisCost-utility analysisHealth technology assessmentMulti-attribute utility instrumentQuality of life

Identifiers

PMID36149605
PMCPMC10290609

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Registered trials

None linked

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.