Differentiation of 2 Obsessive-Compulsive Disorder Subgroups with Regard to Demographic and Phenomenological Characteristics Combining Multiple Correspondence and Latent Class Analysis.

Introduction: Classic factor analysis of obsessive-compulsive disorder (OCD) dimensions and attempts to identify valid subgroups have not yet produced definitive conclusions.

Objective And Methods: This study aims to examine possible homogeneous subgrouping of demographic and phenomenological characteristics in 134 treatment-seeking OCD patients. A combination of multiple correspondence analysis (MCA) and latent class analysis (LCA) was used.

Manualized single-session behavior treatment with self-help manual for panic disorder with or without agoraphobia.

We examined the clinical feasibility and utility of a single behavior treatment session, with 11 patients with Panic Disorder with or without Agoraphobia (PD+/-AG). Patients used an individualized, exposure based, homework manual, derived from their behavioral analysis. Treatment was implemented in an outpatient behavior treatment unit.

The repeatable battery for the assessment of the neuropsychological status (RBANS): a diagnostic validity study in Greek elderly.

Objective: There is a broad need for a rapid and efficient neurocognitive battery to detect cognitive decline and differentiate MCI (mild cognitive impairment) and mild dementia from cognitively intact elders. The purpose of this study is to create a version of the repeatable battery for the assessment of neuropsychological status (RBANS) for the Greek population.

Method: One hundred and sixty-three (163) adults, including healthy controls (HC), MCI and patients with mild dementia, irrespective etiology, were recruited from the day centers of Greek Alzheimer Association after having followed the diagnostic procedure set by the DSM V.

A personalized framework for medication treatment management in chronic care.

The ongoing efforts toward continuity of care and the recent advances in information and communication technologies have led to a number of successful personal health systems for the management of chronic care. These systems are mostly focused on monitoring efficiently the patient's medical status at home. This paper aims at extending home care services delivery by introducing a novel framework for monitoring the patient's condition and safety with respect to the medication treatment administered.