Dependency and health utilities in stroke: data to inform cost-effectiveness analyses

Ali, Myzoon and MacIsaac, Rachael and Quinn, Terence J. and Bath, Philip M. and Veenstra, David L. and Xu, Yaping and Brady, Marian C. and Patel, Anita and Lees, Kennedy R. (2017) Dependency and health utilities in stroke: data to inform cost-effectiveness analyses. European Stroke Journal, 2 (1). pp. 70-76. ISSN 2396-9873

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Abstract

Introduction: Health utilities (HU) assign preference weights to specific health states and are required for costeffectiveness analyses. Existing HU for stroke inadequately reflect the spectrum of post-stroke disability. Using international stroke trial data, we calculated HU stratified by disability to improve precision in future cost-effectiveness analyses.

Materials and methods: We used European Quality of Life Score (EQ-5D-3L) data from the Virtual International Stroke Trials Archive (VISTA) to calculate HU, stratified by modified Rankin Scale scores (mRS) at 3 months. We applied published value sets to generate HU, and validated these using ordinary least squares regression, adjusting for age and baseline National Institutes of Health Stroke Scale (NIHSS) scores.

Results: We included 3858 patients with acute ischemic stroke in our analysis (mean age: 67.5+-12.5, baseline NIHSS: 12+-5). We derived HU using value sets from 13 countries and observed significant international variation in HU distributions (Wilcoxon signed-rank test p<0.0001, compared with UK values). For mRS=0, mean HU ranged from 0.88 to 0.95; for mRS=5, mean HU ranged from -0.48 to 0.22. OLS regression generated comparable HU (for mRS=0, HU ranged from 0.9 to 0.95; for mRS=5, HU ranged from -0.33 to 0.15). Patients’ mRS scores at 3 months accounted for 65–71% of variation in the generated HU.

Conclusion: We have generated HU stratified by dependency level, using a common trial endpoint, and describing expected variability when applying diverse value sets to an international population. These will improve future cost-effectiveness analyses. However, care should be taken to select appropriate value sets.

Item Type: Article
Keywords: Stroke, trial, health utility, EQ-5D, cost effectiveness, modified Rankin Scale, quality of life
Schools/Departments: University of Nottingham, UK > Faculty of Medicine and Health Sciences > School of Medicine > Division of Clinical Neuroscience
Identification Number: 10.1177/2396987316683780
Depositing User: Eprints, Support
Date Deposited: 16 Aug 2017 10:59
Last Modified: 13 Oct 2017 08:52
URI: http://eprints.nottingham.ac.uk/id/eprint/44946

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