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The British Journal of Psychiatry (2003) 183: 121-131
© 2003 The Royal College of Psychiatrists

Depression status, medical comorbidity and resource costs

Evidence from an international study of major depression in primary care (LIDO){dagger},{ddagger}

DANIEL CHISHOLM, PhD

Health Services Research Department, King's College of Medicine and Institute of Psychiatry, London, UK

PAULA DIEHR, PhD

University of Washington, Seattle, Washington, USA

MARTIN KNAPP, PhD

Health Services Research Department, King's College of Medicine and Institute of Psychiatry, London, UK

DONALD PATRICK, PhD

University of Washington, Seattle, Washington, USA

MICHAEL TREGLIA, PhD

Pfizer, Groton, Connecticut (formerly Eli Lilly and Company, Indianapolis, Indiana),USA

GREGORY SIMON, MD

Center for Health Studies, Group Health Cooperative of Puget Sound, Seattle, Washington, USA

the LIDO Group

Correspondence: Dr Dan Chisholm, Global Programme on Evidence for Health Policy, World Health Organization, Avenue Appia, 1211 Geneva 27, Switzerland. E-mail: chisholmd{at}who.int

Declaration of interest This research was funded by research contracts from Eli Lilly and Company to Health Research Associates, Inc.

{dagger} See editorial, pp. 92–94, this issue.

{ddagger} This report does not necessarily represent the decisions or stated policy of the World Health Organization.

Background Despite the burden of depression, there remain few data on its economic consequences in an international context.

Aims To explore the relationship between depression status (with and without medical comorbidity), work loss and health care costs, using cross-sectional data from a multi-national study of depression in primary care.

Method Primary care attendees were screened for depression. Those meeting eligibility criteria were categorised according to DSM–IV criteria for major depressive disorder and comorbid status. Unit costs were attached to self-reported days absent from work and uptake of health care services.

Results Medical comorbidity was associated with a 17–46% increase in health care costs in five of the six sites, but a clear positive association between costs and clinical depression status was identified in only one site.

Conclusions The economic consequences of depression are influenced to a greater (and considerable) extent by the presence of medical comorbidity than by symptom severity alone.


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