THE COST OF MULTIPLE SCLEROSIS IN 16 EUROPEAN COUNTRIES- FUNCTIONAL STATUS, SYMPTOMS AND MENTAL FACTORS DRIVE COSTS

Author(s)

Berg J1, Gannedahl M1, Capsa D1, Eriksson J2, Thompson A3, Kobelt G4
1Mapi, Stockholm, Sweden, 2Mapi Group, Stockholm, Sweden, 3University College London, London, UK, 4European Health Economics, Mulhouse, France

OBJECTIVES: The management of multiple sclerosis (MS) has changed dramatically over the last decade. The objective was to collect current information on the burden of MS, by different severity levels, across Europe. We also investigate drivers of costs. METHODS: Patients provided data on their disease, resource use, fatigue, cognition, work productivity and health related quality of life. Resources were valued from the societal perspective using publicly available unit costs. Production losses were valued using the human capital approach with gender specific employment cost. Informal care was valued as the opportunity cost of time using disposable income. A generalized linear model with a log link and Gamma distribution was used to assess factors affecting total annual costs (p<0.05). RESULTS: Total annual costs per patient (purchasing power adjusted) ranged from €4600-34800 at EDSS 0-3, €5800-78300 at EDSS 4-6.5 to €8300-131500 at EDSS 7-9. The mean cost of a relapse ranged from €300 to €9800. Factors affecting total costs (other than disease-modifying treatments) were country, disease severity, relapses during the last 3 months, fatigue, cognition, and age at completion. The largest effect was seen for disease severity. From EDSS 0-3, total costs rose by 168% for EDSS 4-6.5 and 311% for EDSS 7-9. Relapse increased costs by 25%. For every point worsening on the visual analogue scale for fatigue and cognitive problems, costs increased by 3% and 5%, respectively. CONCLUSIONS:

Conference/Value in Health Info

2016-10, ISPOR Europe 2016, Vienna, Austria

Value in Health, Vol. 19, No. 7 (November 2016)

Code

ND3

Topic

Economic Evaluation

Topic Subcategory

Cost/Cost of Illness/Resource Use Studies

Disease

Neurological Disorders

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