Assessment of the psychometric properties of the 17- and 6-item Hamilton Depression Rating Scales in major depressive disorder, bipolar depression and bipolar depression with mixed features.

Assessing therapeutic response in depression requires scales that adequately measure the core symptoms of depressive symptomatology. The main goal of this study was to assess the psychometric properties of the 17-item Hamilton Depression Rating Scale (HAM-D17) and the 6-item Hamilton Depression Rating Scale (HAM-D6) in patients with Major Depressive Disorder (MDD), bipolar depression and bipolar depression with mixed features. We conducted a reanalysis of a pragmatic clinical trial in an outpatient clinic for mood disorders that included eight weeks of follow-up. A Mokken analysis was performed to evaluate the unidimensionality of the HAM-D17 and HAM-D6, and the Spearman correlation was used to assess concurrent validity between the HAM-D17, the HAM-D6 and quality of life scale (SF-36 and WHOQOL-BREF) scores. A total of 237 patients with a mean age of 40.2 years (±11.7) were included. According to the DSM-IV criteria, 58 (24.5%) were diagnosed with MDD and 73 (30.8%) were diagnosed with bipolar depression. Bipolar depression with mixed features was diagnosed in 106 (44.7%) patients according to the DSM-IV and supplemented by the Cincinnati criteria. Only the HAM-D6 scale proved to be unidimensional, showing strong homogeneity for evaluating MDD, moderate homogeneity for bipolar depression and weak homogeneity for bipolar depression with mixed features. Both the HAM-D17 and the HAM-D6 had inverse, significant correlations at baseline with SF-36 and WHOQOL-BREF scores. This is the first study to include bipolar depression patients with mixed features in an assessment of HAM-D6 unidimensionality.

Mental health economics: insights from Brazil.

BACKGROUND: As the responsibility and demand on health care grows and resources do not increase at the same pace, the healthcare system has been forced to reconsider the benefits and costs of their actions, to ensure a rational and effective decision-making process regarding the adoption of interventions and allocation of resources. Cost-effectiveness (CE) studies represent one of the basic tools to achieve this goal. AIMS: To present the current state of Health Technology Assessment (HTA) and health economics in mental health in Brazil and its importance to the decision-making process. METHODOLOGY: Descriptive paper on HTA and health economics in Brazil. Databases from government and universities as well as some scientific databases to assess the information are presented. RESULTS AND CONCLUSION: Economic analysis to evaluate interventions in mental health care is a relatively recent addition to the field of health economics; in Brazil, it is also considered a topic within Epidemiology research area. There have been an increased number of studies developed in high-income countries. However, there are fewer CE studies in low- and middle-income ones. Psychiatric disorders represent a significant burden in developing countries, where resources devoted to health care are even scarcer.