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QJM ; 111(11): 785-789, 2018 Nov 01.
Article in English | MEDLINE | ID: mdl-30099504

ABSTRACT

BACKGROUND: Although increasing frailty is predictive of increased mortality and length of stay for hospitalized older adults, this approach ignores health assets that individuals can utilize to recover following hospital admission. AIM: To examine whether health assets mitigate the effect of frailty on outcomes for older adults admitted to hospital. DESIGN: Patients of 1418 aged ≥ 70 years admitted to 11 hospitals in Australia were evaluated at admission using the interRAI assessment system for Acute Care, which surveys a large number of domains, including cognition, communication, mood and behaviour, activities of daily living, continence, nutrition, skin condition, falls and medical diagnosis. METHODS: The data set was interrogated for potential health assets and a multiple logistic regression adjusted for frailty index, age and gender as covariates was performed for the outcomes mortality, length of stay, re-admission and new need for residential care. RESULTS: Inpatient mortality was 3% and 4.5% of patients died within 28 days of discharge. Median length of stay was 7 days (IQR 4-11). In multivariate analysis that includes frailty, being able to walk further [OR 0.08 (0.01-0.63)], ability to leave the house [OR 0.35 (0.17-0.74)] and living alone [OR 0.28 (0.10-0.79)] were protective against mortality. The presence of a support person was associated with a decreased length of stay [OR 0.14 (0.08-0.25)]. CONCLUSION: The inclusion of health assets in predictive models can improve prognostication and highlights potential interventions to improve outcomes for hospitalized older adults.


Subject(s)
Accidental Falls/statistics & numerical data , Activities of Daily Living , Frail Elderly , Health Status , Hospitalization/statistics & numerical data , Aged , Aged, 80 and over , Australia/epidemiology , Female , Geriatric Assessment , Hospital Mortality , Humans , Logistic Models , Male , Multivariate Analysis , Nutritional Status , Prospective Studies , Risk Assessment , Risk Factors , Surveys and Questionnaires , Time Factors
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