Reliability and validity of the Spanish version of the IDEAL Schedule for assessing care needs in dementia: Cross-sectional, multicenter study.

OBJECTIVE: The IDEAL Schedule was developed for staging "care needs" in patients with dementia. We here aim to validate the Spanish version, further test its psychometric properties and explore a latent construct for "care needs". METHODS: A multicenter study was done in 8 dementia care facilities across Spain. Patients referred with a reliable ICD-10 diagnosis of dementia (n = 151) were assessed with the IDEAL Schedule by pairs of raters. Inter-rater reliability (intra-class correlation [ICC] coefficients), internal consistency (Cronbach's alpha), and factor analysis were calculated. Convergent validity for individual items was tested against validated Spanish versions of international instruments. RESULTS: Pilot testing with numerical scales supported the feasibility, face, and content validity of the schedule. The psychometric coefficients were good/clinically acceptable: inter-rater reliability (mean ICC = 0.861; 85% of the ICCs > 0.8), internal consistency (global alpha coefficient = 0.74 in 5 nuclear items), and concurrent validity (global score against the Clinical Dementia Rating schedule, r = 0.63; coefficients for individual items ranging from 0.40 to 0.84, all statistically significant, p < 0.05). Internal consistency was low for the "nonprofessional care" and "social support" dimensions. Factor analysis supported a unidimensional solution, suggesting a latent "care needs" construct. CONCLUSION: The Spanish version of the IDEAL Schedule confirms the main psychometric properties of the original version and documents for the first time the convergent validity of individual items. Factor analysis identified a latent construct consistent with the concept "care needs" although 2 dimensions need further psychometric research.

Photoplethysmographic Waveform Analysis for Autonomic Reactivity Assessment in Depression.

OBJECTIVE: In the present study, a photoplethysmographic (PPG) waveform analysis for assessing differences in autonomic reactivity to mental stress between patients with Major Depressive Disorder (MDD) and healthy control (HC) subjects is presented. METHODS: PPG recordings of 40 MDD and 40 HC subjects were acquired at basal conditions, during the execution of cognitive tasks, and at the post-task relaxation period. PPG pulses are decomposed into three waves (a main wave and two reflected waves) using a pulse decomposition analysis. Pulse waveform characteristics such as the time delay between the position of the main wave and reflected waves, the percentage of amplitude loss in the reflected waves, and the heart rate (HR) are calculated among others. The intra-subject difference of a feature value between two conditions is used as an index of autonomic reactivity. RESULTS: Statistically significant individual differences from stress to recovery were found for HR and the percentage of amplitude loss in the second reflected wave ( A13) in both HC and MDD group. However, autonomic reactivity indices related to  A13 reached higher values in HC than in MDD subjects (Cohen's [Formula: see text]), implying that the stress response in depressed patients is reduced. A statistically significant ( ) negative correlation ( r=-0.5) between depression severity scores and A13 was found. CONCLUSION: A decreased autonomic reactivity is associated with higher degree of depression. SIGNIFICANCE: Stress response quantification by dynamic changes in PPG waveform morphology can be an aid for the diagnosis and monitoring of depression.