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The impact of multiple sclerosis severity on health state utility values: Evidence from Australia


Ahmad, H and Taylor, BV and van der Mei, I and Colman, S and O'Leary, BA and Breslin, M and Palmer, AJ, The impact of multiple sclerosis severity on health state utility values: Evidence from Australia, Multiple Sclerosis Journal, 23, (8) pp. 1157-1166. ISSN 1352-4585 (2017) [Refereed Article]

Copyright Statement

Copyright 2016 The Author(s)

DOI: doi:10.1177/1352458516672014


Background: The measurement of health state utility values (HSUVs) for a representative sample of Australian people with multiple sclerosis (MS) has not previously been performed.

Objectives: Our main aim was to quantify the HSUVs for different levels of disease severities in Australian people with MS.

Method: HSUVs were calculated by employing a ‘judgement-based’ method that essentially creates EQ-5D-3L profiles based on WHOQOL-100 responses and then applying utility weights to each level in each dimension. A stepwise linear regression was used to evaluate the relationship between HSUVs and disease severity, classified as mild (Expanded Disability Status Scale (EDSS) levels: 0–3.5), moderate (EDSS levels: 4–6) and severe (EDSS levels: 6.5–9.5).

Results: Mean HSUV for all people with MS was 0.53 (95% confidence interval (CI): 0.52–0.54). Utility decreased with increasing disease severity: 0.61 (95% CI: 0.60–0.62), 0.51 (95% CI: 0.50–0.52) and 0.40 (95% CI: 0.38–0.43) for mild, moderate and severe disease, respectively. Adjusted differences in mean HSUV between the three severity groups were statistically significant.

Conclusion: For the first time in Australia, we have quantified the impact of increasing severity of MS on health utility of people with MS. The HSUVs we have generated will be useful in further health economic analyses of interventions that slow progression of MS.

Item Details

Item Type:Refereed Article
Keywords:Multiple sclerosis, quality of life, EQ-5D, utilities, Australia
Research Division:Biomedical and Clinical Sciences
Research Group:Neurosciences
Research Field:Central nervous system
Objective Division:Health
Objective Group:Specific population health (excl. Indigenous health)
Objective Field:Specific population health (excl. Indigenous health) not elsewhere classified
UTAS Author:Ahmad, H (Dr Hasnat Ahmad)
UTAS Author:Taylor, BV (Professor Bruce Taylor)
UTAS Author:van der Mei, I (Professor Ingrid van der Mei)
UTAS Author:Breslin, M (Dr Monique Breslin)
UTAS Author:Palmer, AJ (Professor Andrew Palmer)
ID Code:111758
Year Published:2017 (online first 2016)
Web of Science® Times Cited:20
Deposited By:Menzies Institute for Medical Research
Deposited On:2016-10-05
Last Modified:2022-06-16

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