Cargando…

Predicting Change in Depressive Symptoms in the Nursing Home

Depressive symptoms are common among nursing home (NH) residents. Important predictors of depression to tease apart include demographic characteristics, physical status, functional ability, and chronic pain. A challenge to addressing depression is that a majority of NH residents have some level of d...

Descripción completa

Detalles Bibliográficos
Autores principales: Reinhardt, Joann, Burack, Orah, Cimarolli, Verena, Weiner, Audrey
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740744/
http://dx.doi.org/10.1093/geroni/igaa057.1239
_version_ 1783623602704220160
author Reinhardt, Joann
Burack, Orah
Cimarolli, Verena
Weiner, Audrey
author_facet Reinhardt, Joann
Burack, Orah
Cimarolli, Verena
Weiner, Audrey
author_sort Reinhardt, Joann
collection PubMed
description Depressive symptoms are common among nursing home (NH) residents. Important predictors of depression to tease apart include demographic characteristics, physical status, functional ability, and chronic pain. A challenge to addressing depression is that a majority of NH residents have some level of dementia. Nonpharmacological management of depression in the NH is a recommended first line of treatment including: personalized activities, music therapy, repositioning, and attention to personal care needs (toileting, resting, and hydration). A holistic approach to the well-being of NH residents is the adoption of person directed (PDC) care models. In this study, predictors of decreased depression over time was examined in residents (N=144) living in two communities featuring PDC models, and those living in traditional care communities within the same NH. Care in the two PDC communities focused on provision of comfort care for persons with advancing dementia at-risk of not having their care needs met largely due to their inability to clearly communicate these needs. Care practices focused on knowing each elder deeply, and anticipating their needs. Care practices also included an emphasis on staff empowerment and meaningful life activities for residents. Traditional communities are those where PDC practices had not yet been incorporated. Data on demographic characteristics, cognitive status, physical and functional status, behavioral symptoms, and pain were extracted from the MDS. Results showed that being in the PDC group, less time in the nursing home, having less pain, and fewer behavioral symptoms were significant predictors of decreased depressive symptoms over a six-month period.
format Online
Article
Text
id pubmed-7740744
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-77407442020-12-21 Predicting Change in Depressive Symptoms in the Nursing Home Reinhardt, Joann Burack, Orah Cimarolli, Verena Weiner, Audrey Innov Aging Abstracts Depressive symptoms are common among nursing home (NH) residents. Important predictors of depression to tease apart include demographic characteristics, physical status, functional ability, and chronic pain. A challenge to addressing depression is that a majority of NH residents have some level of dementia. Nonpharmacological management of depression in the NH is a recommended first line of treatment including: personalized activities, music therapy, repositioning, and attention to personal care needs (toileting, resting, and hydration). A holistic approach to the well-being of NH residents is the adoption of person directed (PDC) care models. In this study, predictors of decreased depression over time was examined in residents (N=144) living in two communities featuring PDC models, and those living in traditional care communities within the same NH. Care in the two PDC communities focused on provision of comfort care for persons with advancing dementia at-risk of not having their care needs met largely due to their inability to clearly communicate these needs. Care practices focused on knowing each elder deeply, and anticipating their needs. Care practices also included an emphasis on staff empowerment and meaningful life activities for residents. Traditional communities are those where PDC practices had not yet been incorporated. Data on demographic characteristics, cognitive status, physical and functional status, behavioral symptoms, and pain were extracted from the MDS. Results showed that being in the PDC group, less time in the nursing home, having less pain, and fewer behavioral symptoms were significant predictors of decreased depressive symptoms over a six-month period. Oxford University Press 2020-12-16 /pmc/articles/PMC7740744/ http://dx.doi.org/10.1093/geroni/igaa057.1239 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Reinhardt, Joann
Burack, Orah
Cimarolli, Verena
Weiner, Audrey
Predicting Change in Depressive Symptoms in the Nursing Home
title Predicting Change in Depressive Symptoms in the Nursing Home
title_full Predicting Change in Depressive Symptoms in the Nursing Home
title_fullStr Predicting Change in Depressive Symptoms in the Nursing Home
title_full_unstemmed Predicting Change in Depressive Symptoms in the Nursing Home
title_short Predicting Change in Depressive Symptoms in the Nursing Home
title_sort predicting change in depressive symptoms in the nursing home
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740744/
http://dx.doi.org/10.1093/geroni/igaa057.1239
work_keys_str_mv AT reinhardtjoann predictingchangeindepressivesymptomsinthenursinghome
AT burackorah predictingchangeindepressivesymptomsinthenursinghome
AT cimarolliverena predictingchangeindepressivesymptomsinthenursinghome
AT weineraudrey predictingchangeindepressivesymptomsinthenursinghome