Cut-off points for Polish-language versions of depression screening tools among patients with Type 2 diabetes.

Abstract Aims Screening tools can help improve the detection of depression in patients with diabetes, yet the psychometric properties of most translations of scales, which are originally published in English, have not been assessed. Thus we studied the screening performance of widely used depression measures. Method We applied the cut-off points of the English-language versions of the Beck Depression Inventory (BDI); Hospital Anxiety and Depression Scale (HADS); Depression in Diabetes Self-Rating Scale (DDS-RS); Brief Self-Rating Scale of Depression and Anxiety (BS-RSDA); and Problematic Areas in Diabetes Survey (PAID), all of which were used to assess diabetes-specific distress in a sample of 101 patients with Type 2 diabetes. The Mini International Neuropsychiatric Interview and the Hamilton Depression Rating Scale (HDRS) were used to diagnose depression. Results When the English cut-off points were used, the tools had varied values of both sensitivity and specificity. When the best cut-off points were used, all measures had either very good or good sensitivity. Taking into account their length, the HADS and the BS-RSDA seem to be the best among the screening tools. Conclusions Effective initial diagnosis of depression in patients with diabetes during a routine medical visit requires the use of screening tools that have adequate cut-off points. The analyses presented in this article show that screening tools should be validated and the cut-off points that are used should be population-specific.