Literature DB >> 24056833

[Factor analysis and psychometric properties of the Italian version of the Neuropsychiatric Inventory-Nursing Home in an institutionalized elderly population with psychiatric comorbidity].

Federico Baranzini, Alessandro Grecchi, Emanuela Berto, Chiara Costantini, Francesca Ceccon, Sara Cazzamalli, Camilla Callegari.   

Abstract

AIM: Aim of the study was to validate the Italian version of the Neuropsychiatric Inventory-Nursing Home (NPI-NH). The evaluation of neuropsychiatric symptoms in elderly patients with cognitive impairment and/or a chronic psychiatric disorder, is an essential need in nursing home.
METHODS: The Italian version of the NPI-NH was administered in 53 patients in a nursing home in Northern-Italy.
RESULTS: The internal consistency of the NPI-NH reported a value (α=0.62) according to the literature. The inter-rater reliability was ρ=0.991 and ρ=0.999 for the caregiver distress. There was an almost complete overlap between the assessments of individual items ranging from (ρ) 1 and 0.952. The test-retest reliability was ρ=0.961 and ρ=0.943 for the distress of the caregiver. Factor analysis revealed 4 factors that can explain 62.167% of the total variance: factor 1 hyperactivity, factor 2 mood, factor 3 psychosis and factor 4 withdrawal.
CONCLUSIONS: The NPI-NH can be used as an instrument for follow-up of patients and as a tool to support the activities of psychiatric referring and research in nursing home because of his demonstrated psychometric validity and its ease of use.

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Year:  2013        PMID: 24056833     DOI: 10.1708/1319.14631

Source DB:  PubMed          Journal:  Riv Psichiatr        ISSN: 0035-6484            Impact factor:   1.911


  6 in total

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Journal:  Dement Geriatr Cogn Disord       Date:  2021-12-08       Impact factor: 2.959

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5.  Doll therapy intervention for women with dementia living in nursing homes: a randomized single-blind controlled trial protocol.

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6.  Assessing Mental Pain as a Predictive Factor of Suicide Risk in a Clinical Sample of Patients with Psychiatric Disorders.

Authors:  Marta Ielmini; Giulia Lucca; Eric Trabucchi; Gian Luca Aspesi; Alessandro Bellini; Ivano Caselli; Camilla Callegari
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  6 in total

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