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The cost of mental disorders in Denmark: a register-based study
Maria Klitgaard Christensen1,2, John J McGrath3,4,5, Natalie C Momen3
1National Centre for Register-based Research, Aarhus University, Aarhus, Denmark. makc@ph.au.dk.
Mental disorders in Denmark incur significant economic burdens, with an annual income loss of 5 billion Euros and 1 billion Euros in excess healthcare costs. These costs highlight the societal impact of mental health conditions.
Area of Science:
- Public Health
- Health Economics
- Psychiatry
Background:
- Mental disorders represent a significant global health challenge.
- Quantifying the economic impact of mental disorders is crucial for resource allocation and policy development.
Purpose of the Study:
- To conduct a comprehensive analysis of healthcare costs, public transfer payments, and income loss linked to 18 types of mental disorders in Denmark.
- To determine the economic burden per case and per capita for each mental disorder.
Main Methods:
- Utilized nationwide Danish health registry data to identify individuals with diagnoses of 18 mental disorders.
- Employed a case-control design, matching each case with 10 age- and sex-matched controls.
- Analyzed outcomes including nationwide totals, cost per case, and cost per capita, stratified by sex, age, and time since diagnosis.
Main Results:
- Individuals with any mental disorder experienced an estimated annual income loss of 5 billion Euros and excess healthcare costs of 1 billion Euros.
- Each specific mental disorder was associated with increased income loss, healthcare costs, and public transfer payments compared to controls.
- Economic impacts varied by disorder, sex, age, and time elapsed since diagnosis.
Conclusions:
- Mental disorders impose a substantial economic burden on Danish society through income loss and increased healthcare expenditure.
- The findings underscore the need for targeted interventions and policies to mitigate the economic and social consequences of mental health conditions.
- An interactive data visualization tool is available for further exploration of the summary data.
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