Predictors of Treatment Utilization in Major Depression

Dana M. Alonzo School of Social Work, Columbia University, New York, New York, USACorrespondence[email protected]

Jill M. Harkavy-Friedman Division of Molecular Imaging and Neuropathology, New York State Psychiatric Institute, New York, New York, USA; Department of Psychiatry, College of Physicians and Surgeons, Columbia University, New York, New York, USA

Barbara Stanley Suicide Intervention Center, New York State Psychiatric Institute, New York, New York, USA

Ainsley Burke Division of Molecular Imaging & Neuropathology, Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA; Molecular Imaging and the Neuropathology Division, New York Psychiatric Institute, New York, New York, USA

J. John Mann Department of Psychiatry, Columbia University College of Physicians and Surgeons, New York, New York, USA; Molecular Imaging and the Neuropathology Division, New York Psychiatric Institute, New York, New York, USA

Maria A. Oquendo Department of Psychiatry, Columbia University, New York, New York, USA; Center for the Neurobiology of Mental Disorders, New York State Psychiatric Institute, New York, New York, USA

Abstract

Suicide attempters with major depression are at risk for repeat attempts and often do not utilize treatment. Identifying predictors of treatment non-utilization could inform interventions to motivate treatment use and reduce suicide risk in major depression. Two hundred and seventy three participants with a major depressive episode as part of a major depressive disorder or bipolar disorder, were assessed for socio-demographic and clinical characteristics at baseline and again 1 year later to identify predictors of treatment utilization. Treatment utilization rate was high 1 year after initial evaluation (72.5%). Severity of baseline depression, baseline treatment status, and education were associated with treatment utilization at 1 year. Interventions focused on increasing knowledge about depression and treatment efficacy may improve treatment adherence when treating depression.

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Acknowledgments

This article was supported by PHS grants, MH48514 and MH62185 (Conte Neuroscience Center), P20 AA015630, MH59710 and the Stanley Medical Research Institute.

Notes

Note. Wald = 48.59, (df = 1), p = <.001.

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Predictors of Treatment Utilization in Major Depression

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Predictors of Treatment Utilization in Major Depression

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