首页 | 本学科首页   官方微博 | 高级检索  
检索        


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
Authors:Claflin  Suzi  Campbell  Julie A  Norman  Richard  Mason  Deborah F  Kalincik  Tomas  Simpson-Yap  Steve  Butzkueven  Helmut  Carroll  William M  Palmer  Andrew J  Blizzard  C Leigh  van der Mei  Ingrid  Henson  Glen J  Taylor  Bruce V
Institution:1.Menzies Institute for Medical Research, University of Tasmania, Medical Science Precinct, 17 Liverpool Street, Hobart, TAS, 7000, Australia
;2.Curtin University, Perth, Australia
;3.New Zealand Brain Research Institute, Christchurch, New Zealand
;4.CORe The University of Melbourne, Melbourne, Australia
;5.Department of Neurology, The Royal Melbourne Hospital, Melbourne, Australia
;6.Neuroepidemiology Unit, Melbourne School of Population and Global Health, The University of Melbourne, Melbourne, Australia
;7.Department of Neuroscience, Monash University, Melbourne, Australia
;8.Perron Institute, Nedlands, Australia
;9.Centre for Health Policy, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
;
Abstract:Background

Health 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.

Methods

Participants 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.

Results

254 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.

Conclusions

HRQoL 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.

Keywords:
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号