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Reducing the global burden of depression: population-level analysis of intervention cost-effectiveness in 14 world regions


Chisholm, D and Sanderson, Kristy and Ayuso-Mateos, JL and Saxena, S, Reducing the global burden of depression: population-level analysis of intervention cost-effectiveness in 14 world regions, British Journal of Psychiatry, 184 pp. 393-403. ISSN 0007-1250 (2004) [Refereed Article]

DOI: doi:10.1192/bjp.184.5.393


Background: International evidence on the cost and effects of interventions for reducing the global burden of depression remain scarce. Aims: To estimate the population-level cost-effectiveness of evidence-based depression interventions and their contribution towards reducing current burden. Method: Primary-care-based depression interventions were modelled at the level of whole populations in 14 epidemiological subregions of the world. Total population-level costs (in international dollars or 1$) and effectiveness (disability adjusted life years (DALYs) averted) were combined to form average and incremental cost-effectiveness ratios. Results: Evaluated interventions have the potential to reduce the current burden of depression by 10-30%. Pharmacotherapy with older antidepressant drugs, with or without proactive collaborative care, are currently more cost-effective strategies than those using newer antidepressants, particularly in lower-income subregions. Conclusions: Even in resource-poor regions, each DALY averted by efficient depression treatments in primary care costs less than 1 year of average per capita income, making such interventions a cost-effective use of health resources. However, current levels of burden can only be reduced significantly if there is a substantial increase in treatment coverage.

Item Details

Item Type:Refereed Article
Research Division:Commerce, Management, Tourism and Services
Research Group:Human resources and industrial relations
Research Field:Occupational and workplace health and safety
Objective Division:Health
Objective Group:Public health (excl. specific population health)
Objective Field:Mental health
UTAS Author:Sanderson, Kristy (Associate Professor Kristy Sanderson)
ID Code:48550
Year Published:2004
Web of Science® Times Cited:207
Deposited By:Menzies Institute for Medical Research
Deposited On:2007-10-16
Last Modified:2011-09-27

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