Admission variables predicting short lengths of stay of acutely unwell older patients: relevance to emergency and medical short-stay units
| Autor: | David Basic, Angela Khoo |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Male
Emergency Medical Services Pediatrics medicine.medical_specialty Critical Care Logistic regression Activities of Daily Living Emergency medical services Humans Medicine Prospective Studies Prospective cohort study Aged Aged 80 and over Geriatrics business.industry Health Policy Emergency department Length of Stay Hospitalization Short stay Gastrointestinal disorder Delirium Female New South Wales medicine.symptom business Forecasting |
| Zdroj: | Australian Health Review. 33:502 |
| ISSN: | 0156-5788 |
| DOI: | 10.1071/ah090502 |
| Popis: | Objective: To help develop criteria to identify older patients suitable for admission to medical short-stay units, by determining predictors of length of stay (LOS) of 3 days or less. Methods: The data were prospectively collected from consecutive older patients admitted from the emergency department of a university hospital to an acute geriatric medicine service. Data included active medical diagnoses, the Modified Barthel Index (MBI), the Timed Up and Go (TUG) test, and demographic information. Logistic regression was used to model the probability of LOS of 3 days or less (short LOS). Results: Among 2036 patients discharged alive from hospital (mean age, 82 years; median LOS, 7 days), 398 had a short LOS (median, 2 days), while 1638 had a long LOS (median, 9 days). In logistic regression analysis, the main independent predictors of short LOS were an MBI score >15/20 (OR, 2.98; 95% CI, 1.97-4.49), ability to perform the TUG test (OR, 2.08; 95% CI, 1.34-3.24) and absence of delirium (OR, 2.66; 95% CI, 1.56-4.54). Patients without infection, anaemia, gastrointestinal disorder and stroke were also more likely to have a short LOS in multivariate analysis (all P |
| Databáze: | OpenAIRE |
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