Effectiveness of the Community Treatment Order in streamlining psychiatric services.

BACKGROUND: The implementation of the Community Treatment Order (CTO) has created controversy surrounding its beneficence. AIMS: The study aims at examining the effectiveness of the CTO in reducing the rate and duration of revolving door admissions for patients who were made subject to this Order. METHOD: All patients who were made subject to CTO between November 2008 and August 2009 in South Essex were involved in the study where patients acted as their own control through comparing their pre-CTO, during CTO and post-CTO's admission rate and duration. RESULTS: There was a significant reduction in the rate and duration of admissions in the period during and post-CTO state. CONCLUSIONS: The CTO proved to be effective in reducing revolving door admissions and it has a beneficial carryover effect in the post-CTO state.

The Beck Depression Inventory requires modification in scoring before use in a haemodialysis population in the UK.

BACKGROUND: There are high rates of mental illness, especially depression in people with end-stage renal disease (ESRD) on haemodialysis (HD). Depression can be difficult to diagnose, as depression and the medical problem share many symptoms. It is essential that the diagnosis of a depressive illness be accurately made in order that subsequent psychiatric management can occur. This is the first study done in the UK which aims to validate a simple method for detecting depression, the Beck Depression Inventory (BDI), in people on HD against a structured psychiatric interview with a trained psychiatrist using the ICD-10 classification of depression. The BDI is validated in a normal population, but in patients with physical ill health there has been a difficulty in defining appropriate cut-off scores. METHODS: Patients dialysing for over 3 months from a single HD unit were eligible for participation. Patients were excluded if a known psychiatric illness existed or if they were receiving medication for a psychiatric illness. Patients who had a recent major illness requiring hospitalisation were excluded. 57 consenting participants completed the self-reported BDI. Within the next week a psychiatrist carried out a clinical interview to diagnose depression, based on the ICD-10 classification of a depressive disorder. Patients were classified as not being depressed or having mild, moderate or severe depression according to their BDI score or the ICD-10 classification. RESULTS: The BDI gave more scores for depression and more severe scores than ICD-10. 30 cases had scores which agreed, 27 cases resulted in a higher BDI score than the ICD-10 classification, in no case was the ICD-10 classification more severe (Wilcoxon signed rank test p < 0.001). All 7 diagnosed as being depressed by clinical interview were also depressed by BDI, although in 2 cases the BDI worsened the depression score. CONCLUSIONS: Using the general population cut-off score, the BDI significantly overdiagnosed depression in this HD population. This study defines a BDI cut-off score which more reliably detects major depression in a HD population. Unrecognised depression remains high in those with no known psychiatric illness within the HD populations.