Literature DB >> 19940541

Evaluating major depressive episodes through the algorithmically structured systematic exploration of subject's state of mind.

S Stoleru1, C Kosmadakis, O Coudert, D Degras, J F Allilaire.   

Abstract

BACKGROUND/AIMS: Whereas instruments are available to diagnose depression and to rate its severity, there is a lack of instruments to assess the phenomenology of depression, i.e. a set of mental phenomena that constitute subjective experience. The Algorithmically Structured Systematic Exploration of Subject's State of Mind (Assess_Mind) is based on open questions asked via a structured algorithm. Here, we evaluated its reliability and its validity to assess the phenomenology of major depressive episodes.
METHODS: Scales were constructed to evaluate various aspects of major depressive episodes, and an Assess_Mind score was derived from these scales. Thirty-five patients presenting a major depressive episode were assessed with the Hamilton Depression Rating Scale, Clinical Global Impressions (CGI) scale, Beck Depression Inventory and Symptom Checklist-90R. Two series of assessments were conducted, separated by 3 weeks.
RESULTS: Interrater reliability was good to excellent and test-retest reliability was acceptable. Whereas construct validity was poor at the first time point (first day of the patient's inclusion), it was adequate for the second day and 3 weeks later. The change in the Assess_Mind score predicted the change in the CGI rating as well as the other instruments did. These results should be confirmed in larger samples.
CONCLUSION: The Assess_Mind provided a useful assessment of the phenomenology of depression and of the course of major depressive episodes. Copyright 2009 S. Karger AG, Basel.

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Year:  2009        PMID: 19940541     DOI: 10.1159/000260043

Source DB:  PubMed          Journal:  Psychopathology        ISSN: 0254-4962            Impact factor:   1.944


  1 in total

1.  Bipolar disorder and adherence: implications of manic subjective experience on treatment disruption.

Authors:  Samuel Bulteau; Marie Grall-Bronnec; Pierre-Yves Bars; Edouard-Jules Laforgue; François Etcheverrigaray; Jean-Christophe Loirat; Caroline Victorri-Vigneau; Jean-Marie Vanelle; Anne Sauvaget
Journal:  Patient Prefer Adherence       Date:  2018-07-27       Impact factor: 2.711

  1 in total

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