Publication:
Development and exploration of psychometric properties of the family adjustment questionnaire for admitting an older adult to a nursing home (CAFIAR)

Simple item page
dc.contributor.authorRiquelme Marín, Antonio
dc.contributor.authorMartín Carbonell, Marta
dc.contributor.authorOrtigosa Quiles, Juan Manuel
dc.contributor.authorMéndez Mateo, Inmaculada
dc.contributor.departmentPersonalidad, Evaluación y Tratamiento Psicológicos
dc.contributor.otherFacultades de la UMU::Facultad de Psicología y Logopedia
dc.date.accessioned2026-01-20T11:28:25Z
dc.date.available2026-01-20T11:28:25Z
dc.date.copyright© 2020 by the authors
dc.date.issued2020-10-19
dc.description.abstractBackground: Admitting an older adult to a nursing home involves significant adjustment efforts by the family. Our goal was to prepare an assessment instrument for this, given that there was none to date. Method: Participants—134 relatives from di erent nursing homes in the region of Murcia. Instruments—structured interview for socio-demographic information, satisfaction with the nursing home, well-being and health self- ssessment, Radlo ’s Depression Questionnaire (CES-D), and the first version of CAFIAR. Results: A 15-item instrument with three factors was obtained: Factor 1 (Unease due to admitting an older adult to a nursing home), Factor 2 (Relief), and Factor 3 (Nostalgia and concern for the older adult), in addition to a general adjustment index, with a Cronbach’s alpha of 0.74. The general adjustment index and the subscales that demonstrate poor adjustment were significantly correlated with depression and a worse health self-assessment, while the Relief subscale, which indicates better adjustment, was significantly correlated with well-being and a positive health self-assessment. Conclusions: The family adjustment in admitting an older adult to a nursing home questionnaire (CAFIAR) has adequate psychometric properties to assess family adaptation in admitting an older adult to an institution.
dc.formatapplication/pdf
dc.format.extent17
dc.identifier.citation International Journal of Environmental Research and Public Health, 2020, Vol. 17(20), 7597. https://doi.org/10.3390/ijerph17207597
dc.identifier.doihttps://doi.org/10.3390/ijerph17207597
dc.identifier.urihttp://hdl.handle.net/10201/189149
dc.languageeng
dc.publisherMDPI
dc.relationThis research is part of the “Family Adjustment to Admitting an Older Adult to a Nursing Home (CAFIAR): A Comparison between Spain (Murcia) and Colombia (Caribbean Coast)” project, funded by the Cooperative University of Colombia.
dc.relation.publisherversionhttps://www.mdpi.com/1660-4601/17/20/7597
dc.rightsAttribution 4.0 International*
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectFamily adjustment
dc.subjectNursing home
dc.subjectQuestionnaire development
dc.subjectPsychometric properties
dc.subject.odsObjetivo 1: Poner fin a la pobreza
dc.titleDevelopment and exploration of psychometric properties of the family adjustment questionnaire for admitting an older adult to a nursing home (CAFIAR)
dc.typeinfo:eu-repo/semantics/article
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublicationes
relation.isAuthorOfPublicationad98959a-6eb2-4735-a52f-31d6dc662b9e
relation.isAuthorOfPublication30da9db2-238f-439c-a86a-2181b1a909e1
relation.isAuthorOfPublication32fdde4e-d04f-4d35-b56f-df3b10e4c558
relation.isAuthorOfPublication30da9db2-238f-439c-a86a-2181b1a909e1
relation.isAuthorOfPublication32fdde4e-d04f-4d35-b56f-df3b10e4c558
relation.isAuthorOfPublication.latestForDiscoveryad98959a-6eb2-4735-a52f-31d6dc662b9e
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Riquelme-2020-Development and Exploration of Psychometric.pdf
Size:
2 MB
Format:
Adobe Portable Document Format
Description:
Download
License bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
license.txt
Size:
1.37 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
Artículos