Impact of antidepressants on the risk of suicide in patients with depression in real-life conditions: a decision analysis model.

BACKGROUND: The impact of antidepressant drug treatment (ADT) on the risk of suicide is uncertain. The aim of this study was to determine in a real-life setting whether ADT is associated with an increased or a reduced risk of suicide compared to absence of ADT (no-ADT) in patients with depression. METHOD: A decision analysis method was used to estimate the number of suicides prevented or induced by ADT in children and adolescents (10-19 years old), adults (20-64 years old) and the elderly (65 years) diagnosed with major depression. The impact of gender and parasuicide history on the findings was explored within each age group. Sensitivity analyses were used to assess the robustness of the models. RESULTS: Prescribing ADT to all patients diagnosed with depression would prevent more than one out of three suicide deaths compared to the no-ADT strategy, irrespective of age, gender or parasuicide history. Sensitivity analyses showed that persistence in taking ADT would be the main characteristic influencing the effectiveness of ADT on suicide risk. CONCLUSIONS: Public health decisions that contribute directly or indirectly to reducing the number of patients with depression who are effectively administered ADT may paradoxically induce a rise in the number of suicides.

Evaluation of the Confusion Assessment Method (CAM) as a screening tool for delirium in the emergency room.

The objective of this study was to compare the results of the Confusion Assessment Method (CAM) obtained by a trained non-physician interviewer to those obtained by a geriatrician, among a sample of elderly patients seen in an emergency room. A group of 110 elderly patients (> or =66 years) were evaluated in the emergency room by a lay interviewer. The geriatrician conducted an interview in the presence of the lay interviewer. Subsequently, the geriatrician and the lay interviewer completed a CAM checklist independently. Kappa statistics, sensitivity, specificity, positivity predictive value (PPV), and negative predictive value (NPV) for the geriatrician's and lay interviewer's results with the CAM diagnostic algorithm were compared. The kappa coefficient was 0.91, the sensitivity 0.86, the specificity 1.00, the PPV 1.00, and the NPV 0.97. In conclusion, the CAM used by a trained lay interviewer in the emergency room is sensitive, specific, reliable and easy to use for the identification of patients with delirium. The under-recognition and under-treatment of delirium is a major health issue and has important clinical and financial implications. The implementation of systematic screening in populations at risk could increase the rate of early detection and lead to the appropriate management of delirious patients.

Monitoring of drug utilization in public health surveillance activities: a conceptual framework.

The surveillance of individual and aggregate patterns of prescribed medication can potentially provide some very useful information to those involved in public health. At present however, this activity has attracted relatively little attention in Canada. This article will introduce a conceptual framework with which to examine the possibilities of prescription drug monitoring as a tool for public health surveillance. The sources of data available to undertake this activity as well as their limitations, will be presented along with some recent concrete applications.