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The prevalence of depression and the accuracy of depression screening tools in migraine patients.

Authors :
Amoozegar F
Patten SB
Becker WJ
Bulloch AGM
Fiest KM
Davenport WJ
Carroll CR
Jette N
Source :
General hospital psychiatry [Gen Hosp Psychiatry] 2017 Sep; Vol. 48, pp. 25-31. Date of Electronic Publication: 2017 Jun 15.
Publication Year :
2017

Abstract

Objectives: Migraine and depression are common comorbid conditions. The purpose of this study was to assess how well the Patient Health Questionnaire (PHQ-9) and the Hospital Anxiety and Depression Scale (HADS) perform as depression screening tools in patients with migraine.<br />Methods: Three hundred consecutive migraine patients were recruited from a large headache center. The PHQ-9 and HADS were self-administered and validated against the Structured Clinical Interview for Diagnostic and Statistical Manual of Mental Disorders-IV, a gold standard for the diagnosis of depression. Sensitivity, specificity, positive predictive value, negative predictive value and receiver-operator characteristic curves were calculated for the PHQ-9 and HADS.<br />Results: At the traditional cut-point of 10, the PHQ-9 demonstrated 82.0% sensitivity and 79.9% specificity. At a cut-point of 8, the HADS demonstrated 86.5% sensitivity and specificity. The PHQ-9 algorithm performed poorly (53.8% sensitivity, 94.9% specificity). The point prevalence of depression in this study was 25.0% (95% CI 19.0-31.0), and 17.0% of patients had untreated depression.<br />Conclusions: In this study, the PHQ-9 and HADS performed well in migraine patients attending a headache clinic, but optimal cut-points to screen for depression vary depending on the goals of the assessment. Also, migraine patients attending a headache clinic have a high prevalence of depression and many are inadequately treated. Future studies are needed to confirm these findings and to evaluate the impact of depression screening.<br /> (Copyright © 2017 Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
1873-7714
Volume :
48
Database :
MEDLINE
Journal :
General hospital psychiatry
Publication Type :
Academic Journal
Accession number :
28917391
Full Text :
https://doi.org/10.1016/j.genhosppsych.2017.06.006