Detecting depression in medically ill patients: comparative accuracy of four screening questionnaires and physicians' diagnoses in Spanish population
Ikusi/ Ireki
Data
2010-10Egilea
Orive Calzada, Miren
Padierna, Angel
Quintana, Jose María
Carlota, Las Hayas
Kalliopi, Vrotsou
Aguirre, Urko
Journal of Psychosomatic Research 69(4) : 399-406 (2010)
Laburpena
Objective: To compare the diagnostic accuracy of four depression screening tools commonly used in patients with medical disorders, relative to a reference diagnostic standard – a structured psychiatric interview.
Methods: The Depression in the Medically Ill-18 (DMI-18) questionnaire was administered to 167 patients with medical disorders, of those 53 completed the Beck Depression Inventory for Primary Care (BDI-PC), 67 the Hospital Anxiety and Depression Scale (HADS) and 46 the Patient Health questionnaire-9 (PHQ-9). The entire sample was also interviewed with a structured psychiatric interview conducted by a mental health professional. Sensitivity, specificity, likelihood ratios (LR) and area under the curve (AUC) were calculated and compared for the different measures.
Results: At their respective recommended cut-off points, sensitivities (95% CI) were 86% (70-95), 82% (63-94), 93% (86-97) and 68% (47-85) for the HADS-D, BDI-PC, DMI-18, and PHQ-9 respectively, while specificities ranged from 72% (47-90) for BDI-PC to 89% (72-98) for PHQ-9. The sensitivities of DMI-18 were significantly higher compared to those of HADS-D (p= 0.045) and PHQ-9 (p= 0.01). The PHQ-9 questionnaire obtained the most favourable positive LR (6.35; 95% CI: 2.48-18.36). In contrast, the DMI-18 showed the best negative LR (0.09; 95% CI: 0.04-0.18). AUCs (95% CI) ranged from 0.92 (0.83-1.02) to 0.84 (0.74-0.94). Staistically significant differences were found between the AUCs of the DMI-10 and the BDI-PC.
Conclusion: Our results suggest that all evaluated scales have acceptable abilities and can be used as screening instruments for depression in patients with medical disorders. The DMI stands out for its sensitivity.