Pre-post changes in psychosocial functioning among relatives of patients with depressive disorders after Brief Multifamily Psychoeducation: A pilot study

<p>Abstract</p> <p>Background</p> <p>Depressive disorder is often chronic and recurrent, and results in a heavy psychosocial burden on the families of patients with this disorder. This study aims to examine the effectiveness of brief multifamily psychoeducation designed to alleviate their psychosocial burden.</p> <p>Methods</p> <p>Thirty-two relatives of patients with major depressive disorder participated in an open study testing the effectiveness of brief multifamily psychoeducation. The intervention consisted of four sessions over the course of 6 weeks. Outcome measures focused on emotional distress, care burden and Expressed Emotion (EE).</p> <p>Results</p> <p>The emotional distress, care burden and EE of the family all showed statistically significant improvements from baseline to after the family intervention. The proportion of relatives scoring 9 or more on K6, which indicates possible depressive or anxiety disorder, decreased from sixteen relatives (50.0%) at baseline, to only 3 relatives (9.3%) after the intervention.</p> <p>Conclusions</p> <p>This study suggests that brief multifamily psychoeducation is a useful intervention to reduce the psychosocial burden of the relatives of patients with depressive disorder. Further evaluation of family psychoeducation for relatives of patients with depressive disorder is warranted.</p

Statistical techniques for the analysis of change in longitudinal studies of the menopause.

This paper is a review of statistical techniques for studying longitudinal data. In particular, we outline Multivariate Analysis of Variance, Simultaneous modelels, Summary statistics and Structural Equation Modeling.Nous envisageons et comparons différentes techniques d'analyse de données longitudinales, et en particulier, l'analyse de variance multidimensionnelle, les équations simultanées, et la modelisation structurelle

Fitting arma time series by structural equation models

lagged variables, Box-Jenkins model, covariance structures, PROC CALIS, intervention analysis, autocorrelation,