Cargando…
Predictors of Inpatient Utilization among Veterans with Dementia
Dementia is prevalent and costly, yet the predictors of inpatient hospitalization are not well understood. Logistic and negative binomial regressions were used to identify predictors of inpatient hospital utilization and the frequency of inpatient hospital utilization, respectively, among veterans....
Autores principales: | , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058849/ https://www.ncbi.nlm.nih.gov/pubmed/24982674 http://dx.doi.org/10.1155/2014/861613 |
_version_ | 1782321177415385088 |
---|---|
author | Godwin, Kyler M. Morgan, Robert O. Walder, Annette Bass, David M. Judge, Katherine S. Wilson, Nancy Snow, A. Lynn Kunik, Mark E. |
author_facet | Godwin, Kyler M. Morgan, Robert O. Walder, Annette Bass, David M. Judge, Katherine S. Wilson, Nancy Snow, A. Lynn Kunik, Mark E. |
author_sort | Godwin, Kyler M. |
collection | PubMed |
description | Dementia is prevalent and costly, yet the predictors of inpatient hospitalization are not well understood. Logistic and negative binomial regressions were used to identify predictors of inpatient hospital utilization and the frequency of inpatient hospital utilization, respectively, among veterans. Variables significant at the P < 0.15 level were subsequently analyzed in a multivariate regression. This study of veterans with a diagnosis of dementia (n = 296) and their caregivers found marital status to predict hospitalization in the multivariate logistic model (B = 0.493, P = 0.029) and personal-care dependency to predict hospitalization and readmission in the multivariate logistic model and the multivariate negative binomial model (B = 1.048, P = 0.007, B = 0.040, and P = 0.035, resp.). Persons with dementia with personal-care dependency and spousal caregivers have more inpatient admissions; appropriate care environments should receive special care to reduce hospitalization. This study was part of a larger clinical trial; this trial is registered with ClinicalTrials.gov NCT00291161. |
format | Online Article Text |
id | pubmed-4058849 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-40588492014-06-30 Predictors of Inpatient Utilization among Veterans with Dementia Godwin, Kyler M. Morgan, Robert O. Walder, Annette Bass, David M. Judge, Katherine S. Wilson, Nancy Snow, A. Lynn Kunik, Mark E. Curr Gerontol Geriatr Res Research Article Dementia is prevalent and costly, yet the predictors of inpatient hospitalization are not well understood. Logistic and negative binomial regressions were used to identify predictors of inpatient hospital utilization and the frequency of inpatient hospital utilization, respectively, among veterans. Variables significant at the P < 0.15 level were subsequently analyzed in a multivariate regression. This study of veterans with a diagnosis of dementia (n = 296) and their caregivers found marital status to predict hospitalization in the multivariate logistic model (B = 0.493, P = 0.029) and personal-care dependency to predict hospitalization and readmission in the multivariate logistic model and the multivariate negative binomial model (B = 1.048, P = 0.007, B = 0.040, and P = 0.035, resp.). Persons with dementia with personal-care dependency and spousal caregivers have more inpatient admissions; appropriate care environments should receive special care to reduce hospitalization. This study was part of a larger clinical trial; this trial is registered with ClinicalTrials.gov NCT00291161. Hindawi Publishing Corporation 2014 2014-05-29 /pmc/articles/PMC4058849/ /pubmed/24982674 http://dx.doi.org/10.1155/2014/861613 Text en Copyright © 2014 Kyler M. Godwin et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Godwin, Kyler M. Morgan, Robert O. Walder, Annette Bass, David M. Judge, Katherine S. Wilson, Nancy Snow, A. Lynn Kunik, Mark E. Predictors of Inpatient Utilization among Veterans with Dementia |
title | Predictors of Inpatient Utilization among Veterans with Dementia |
title_full | Predictors of Inpatient Utilization among Veterans with Dementia |
title_fullStr | Predictors of Inpatient Utilization among Veterans with Dementia |
title_full_unstemmed | Predictors of Inpatient Utilization among Veterans with Dementia |
title_short | Predictors of Inpatient Utilization among Veterans with Dementia |
title_sort | predictors of inpatient utilization among veterans with dementia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4058849/ https://www.ncbi.nlm.nih.gov/pubmed/24982674 http://dx.doi.org/10.1155/2014/861613 |
work_keys_str_mv | AT godwinkylerm predictorsofinpatientutilizationamongveteranswithdementia AT morganroberto predictorsofinpatientutilizationamongveteranswithdementia AT walderannette predictorsofinpatientutilizationamongveteranswithdementia AT bassdavidm predictorsofinpatientutilizationamongveteranswithdementia AT judgekatherines predictorsofinpatientutilizationamongveteranswithdementia AT wilsonnancy predictorsofinpatientutilizationamongveteranswithdementia AT snowalynn predictorsofinpatientutilizationamongveteranswithdementia AT kunikmarke predictorsofinpatientutilizationamongveteranswithdementia |