The Costs of Dementia in Europe: An Updated Review and Meta-analysis

Linus Jönsson (), Ashley Tate, Oskar Frisell and Anders Wimo
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Linus Jönsson: Karolinska Institutet
Ashley Tate: Karolinska Institutet
Oskar Frisell: Institute of Health Economics (IHE)
Anders Wimo: Karolinska Institutet

PharmacoEconomics, 2023, vol. 41, issue 1, No 6, 59-75

Abstract: Abstract Background and Objective The prevalence of dementia is increasing, while new opportunities for diagnosing, treating and possibly preventing Alzheimer’s disease and other dementia disorders are placing focus on the need for accurate estimates of costs in dementia. Considerable methodological heterogeneity creates challenges for synthesising the existing literature. This study aimed to estimate the costs for persons with dementia in Europe, disaggregated into cost components and informative patient subgroups. Methods We conducted an updated literature review searching PubMed, Embase and Web of Science for studies published from 2008 to July 2021 reporting empirically based cost estimates for persons with dementia in European countries. We excluded highly selective or otherwise biased reports, and used a random-effects meta-analysis to produce estimates of mean costs of care across five European regions. Results Based on 113 studies from 17 European countries, the estimated mean costs for all patients by region were highest in the British Isles (73,712 EUR), followed by the Nordics (43,767 EUR), Southern (35,866 EUR), Western (38,249 EUR), and Eastern Europe and Baltics (7938 EUR). Costs increased with disease severity, and the distribution of costs over informal and formal care followed a North-South gradient with Southern Europe being most reliant on informal care. Conclusions To our knowledge, this study represents the most extensive meta-analysis of the cost for persons with dementia in Europe to date. Though there is considerable heterogeneity across studies, much of this is explained by identifiable factors. Further standardisation of methodology for capturing resource utilisation data may further improve comparability of future studies. The cost estimates presented here may be of value for cost-of-illness studies and economic evaluations of novel diagnostic technologies and therapies for Alzheimer’s disease.

Date: 2023
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DOI: 10.1007/s40273-022-01212-z

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