Aims: To estimate costs of multiple sclerosis (MS) in a German cohort according to severity of the disease and clinical symptoms. Methods: 144 patients were recruited from an MS outpatient clinic. Costs were calculated according to current German health-economic guidelines from the perspective of the social health insurance system. Patients were either interviewed or completed a questionnaire. Cost assessment covered a 3-month period. Health outcomes were: Expanded Disability Status Scale, MS Functional Composite, Functional Assessment of MS, fatigue, depression (Beck Depression Inventory II) and patients’ socioeconomic status. Multivariate linear regression identified independent cost predictors. Results: Total quarterly costs per patient were EUR 10,329 (95% CI 9,357–11,390). Direct costs were EUR 5,344 for the social health insurance system and EUR 140 for the patient. Drugs represented the major share of direct costs (and 35% of total costs); indirect costs accounted for 47% of total costs. Univariate and multivariate analyses identified age, disability, fatigue and depression as independent predictors for total, indirect or drug costs. Conclusion: MS represents a high economic burden, with direct costs exceeding indirect costs. To reduce costs, research should focus on prevention that slows down progression of MS. Rehabilitation and symptomatic treatment may have merits in decreasing indirect costs.

BackgroundTo prospectively determine health status and health utility and its predictors in patients with multiple sclerosis (MS).MethodsA total of 144 MS patients (mean age: 41.0 ±11.3y) with different subtypes (patterns of progression) and severities of MS were recruited in an outpatient university clinic in Germany. Patients completed a questionnaire at baseline (n = 144), 6 months (n = 65) and 12 months (n = 55). Health utilities were assessed using the EuroQol instrument (EQ-5D, EQ VAS). Health status was assessed by several scales (Expanded Disability Severity Scale (EDSS), Modified Fatigue Impact Scale (M-FIS), Functional Assessment of MS (FAMS), Beck Depression Inventory (BDI-II) and Multiple Sclerosis Functional Composite (MSFC)). Additionally, demographic and socioeconomic parameters were assessed. Multivariate linear and logistic regressions were applied to reveal independent predictors of health status.ResultsHealth status is substantially diminished in MS patients and the EQ VAS was considerably lower than that of the general German population. No significant change in health-status parameters was observed over a 12-months period. Multivariate analyses revealed M-FIS, BDI-II, MSFC, and EDSS to be significant predictors of reduced health status. Socioeconomic and socio-demographic parameters such as working status, family status, number of household inhabitants, age, and gender did not prove significant in multivariate analyses.ConclusionMS considerably impairs patients’ health status. Guidelines aiming to improve self-reported health status should include treatment options for depression and fatigue. Physicians should be aware of depression and fatigue as co-morbidities. Future studies should consider the minimal clinical difference when health status is a primary outcome.

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