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Detection of delirium by nurses among long-term care residents with dementia

BACKGROUND: Delirium is a prevalent problem in long-term care (LTC) facilities where advanced age and cognitive impairment represent two important risk factors for this condition. Delirium is associated with numerous negative outcomes including increased morbidity and mortality. Despite its clinical...

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Autores principales: Voyer, Philippe, Richard, Sylvie, Doucet, Lise, Danjou, Christine, Carmichael, Pierre-Hugues
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2277396/
https://www.ncbi.nlm.nih.gov/pubmed/18302791
http://dx.doi.org/10.1186/1472-6955-7-4
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author Voyer, Philippe
Richard, Sylvie
Doucet, Lise
Danjou, Christine
Carmichael, Pierre-Hugues
author_facet Voyer, Philippe
Richard, Sylvie
Doucet, Lise
Danjou, Christine
Carmichael, Pierre-Hugues
author_sort Voyer, Philippe
collection PubMed
description BACKGROUND: Delirium is a prevalent problem in long-term care (LTC) facilities where advanced age and cognitive impairment represent two important risk factors for this condition. Delirium is associated with numerous negative outcomes including increased morbidity and mortality. Despite its clinical importance, delirium often goes unrecognized by nurses. Although rates of nurse-detected delirium have been studied among hospitalized older patients, this issue has been largely neglected among demented older residents in LTC settings. The goals of this study were to determine detection rates of delirium and delirium symptoms by nurses among elderly residents with dementia and to identify factors associated with undetected cases of delirium. METHODS: In this prospective study (N = 156), nurse ratings of delirium were compared to researcher ratings of delirium. This procedure was repeated for 6 delirium symptoms. Sensitivity, specificity, positive and negative predictive values were computed. Logistic regressions were conducted to identify factors associated with delirium that is undetected by nurses. RESULTS: Despite a high prevalence of delirium in this cohort (71.5%), nurses were able to detect the delirium in only a minority of cases (13%). Of the 134 residents not identified by nurses as having delirium, only 29.9% of them were correctly classified. Detection rates for the 6 delirium symptoms varied between 39.1% and 58.1%, indicating an overall under-recognition of symptoms of delirium. Only the age of the residents (≥ 85 yrs) was associated with undetected delirium (OR: 4.1; 90% CI: [1.5–11.0]). CONCLUSION: Detection of delirium is a major issue for nurses that clearly needs to be addressed. Strategies to improve recognition of delirium could result in a reduction of adverse outcomes for this very vulnerable population.
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spelling pubmed-22773962008-04-01 Detection of delirium by nurses among long-term care residents with dementia Voyer, Philippe Richard, Sylvie Doucet, Lise Danjou, Christine Carmichael, Pierre-Hugues BMC Nurs Research Article BACKGROUND: Delirium is a prevalent problem in long-term care (LTC) facilities where advanced age and cognitive impairment represent two important risk factors for this condition. Delirium is associated with numerous negative outcomes including increased morbidity and mortality. Despite its clinical importance, delirium often goes unrecognized by nurses. Although rates of nurse-detected delirium have been studied among hospitalized older patients, this issue has been largely neglected among demented older residents in LTC settings. The goals of this study were to determine detection rates of delirium and delirium symptoms by nurses among elderly residents with dementia and to identify factors associated with undetected cases of delirium. METHODS: In this prospective study (N = 156), nurse ratings of delirium were compared to researcher ratings of delirium. This procedure was repeated for 6 delirium symptoms. Sensitivity, specificity, positive and negative predictive values were computed. Logistic regressions were conducted to identify factors associated with delirium that is undetected by nurses. RESULTS: Despite a high prevalence of delirium in this cohort (71.5%), nurses were able to detect the delirium in only a minority of cases (13%). Of the 134 residents not identified by nurses as having delirium, only 29.9% of them were correctly classified. Detection rates for the 6 delirium symptoms varied between 39.1% and 58.1%, indicating an overall under-recognition of symptoms of delirium. Only the age of the residents (≥ 85 yrs) was associated with undetected delirium (OR: 4.1; 90% CI: [1.5–11.0]). CONCLUSION: Detection of delirium is a major issue for nurses that clearly needs to be addressed. Strategies to improve recognition of delirium could result in a reduction of adverse outcomes for this very vulnerable population. BioMed Central 2008-02-26 /pmc/articles/PMC2277396/ /pubmed/18302791 http://dx.doi.org/10.1186/1472-6955-7-4 Text en Copyright © 2008 Voyer et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Voyer, Philippe
Richard, Sylvie
Doucet, Lise
Danjou, Christine
Carmichael, Pierre-Hugues
Detection of delirium by nurses among long-term care residents with dementia
title Detection of delirium by nurses among long-term care residents with dementia
title_full Detection of delirium by nurses among long-term care residents with dementia
title_fullStr Detection of delirium by nurses among long-term care residents with dementia
title_full_unstemmed Detection of delirium by nurses among long-term care residents with dementia
title_short Detection of delirium by nurses among long-term care residents with dementia
title_sort detection of delirium by nurses among long-term care residents with dementia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2277396/
https://www.ncbi.nlm.nih.gov/pubmed/18302791
http://dx.doi.org/10.1186/1472-6955-7-4
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