Functional Decline Predicts Emergency Department Use in Veterans With Dementia
Autor: | Jonmenjoy Biswas, Robert O. Morgan, Nancy Wilson, Mark E. Kunik, Annette Walder, A. Lynn Snow, Stephanie Ng, David M. Bass, Katherine S. Judge |
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Rok vydání: | 2014 |
Předmět: |
Male
Gerontology medicine.medical_specialty Multivariate analysis Activities of daily living Internal medicine medicine Humans Dementia Veterans Affairs Categorical variable Aged Veterans Aged 80 and over Univariate analysis business.industry General Neuroscience Regression analysis Emergency department Middle Aged medicine.disease Psychiatry and Mental health Clinical Psychology Caregivers Female Geriatrics and Gerontology Emergency Service Hospital business |
Zdroj: | American Journal of Alzheimer's Disease & Other Dementiasr. 29:362-371 |
ISSN: | 1938-2731 1533-3175 |
DOI: | 10.1177/1533317513518655 |
Popis: | Background: We examined emergency room (ER) utilization by persons with dementia (PWDs) using caregiver and patient characteristics as predictors. Methods: A secondary analysis of 296 veteran–caregiver dyads. Caregivers recorded PWD baseline characteristics and noted ER visits over the next year. Two sets of regression models analyzed categorical ER use and repeat ER use. Results: In the univariate analysis, categorical use of the ER was predicted by patients’ functional status ( P ≤ .008) and Veterans Affairs priority grouping ( P ≤ .02). Repeat ER admissions were predicted by functional status ( P ≤ .04), number of chronic conditions ( P ≤ .01), and caregiver-reported relationship strain ( P ≤ .04). In multivariate analysis, categorical ER use was predicted by functional status ( P ≤ .02), priority grouping ( P ≤ .03), and number of chronic conditions ( P ≤ .06). Conclusions: Functional status most strongly predicted ER use, highlighting the promise of home-based interventions to improve activities of daily living. Number of chronic conditions and caregiver-reported relationship strain are potential targets of intervention during discharge process. |
Databáze: | OpenAIRE |
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