Total LOS (total + los)

Distribution by Scientific Domains


Selected Abstracts


Establishment of a stroke unit in a district hospital: review of experience

INTERNAL MEDICINE JOURNAL, Issue 2 2007
A. Chiu
Abstract Background: The experience and outcomes of co-locating acute stroke and stroke rehabilitation care in a district hospital were reviewed. Method: Information for patients admitted to Blacktown and Mt Druitt Hospitals before and after setting up an acute stroke unit (SU) (12 months data for each period), including mortality and length of stay (LOS) at the hospital were obtained from various sources, including the diagnosis-related group and subacute and non-acute casemix databases. Results: There was a significant reduction of mortality (18 vs 10%; P = 0.01) and reduced total LOS (46 vs 39 days; P = 0.01) with similar functional outcomes in the post-SU period. Fifty per cent of patients were unable to access the acute SU. Patients admitted into the SU had lower mortality (5 vs 14%; P = 0.01) and were also discharged from hospital earlier (35 vs 54 days; P = 0.01) than patients admitted into general wards during the post-SU period. Thirty-four per cent of patients received rehabilitation within the rehabilitation facility in the post-SU period compared with 19% in the pre-SU period. Conclusion: The Blacktown experience showed the feasibility of establishing a co-located SU within rehabilitation facility with good outcomes as illustrated by the significant reduction in the stroke mortality, a reduction in the total LOS and an increase in the number of patients receiving rehabilitation post-stroke. [source]


Prediction of length of stay for stroke patients

ACTA NEUROLOGICA SCANDINAVICA, Issue 1 2007
P. Appelros
Objectives ,, To examine the factors that influence acute and total length of stay (LOS) for stroke patients. Materials and methods ,, The basis of this investigation was a population-based cohort of first-ever stroke patients (n = 388). Subjects were survivors of the initial hospitalization (n = 295). Age, sex, social factors, risk factors, dementia, stroke type, and stroke severity, measured with the NIH stroke scale (NIHSS), were registered. Results ,, Mean acute LOS was 12 days and mean total LOS was 29 days. Independent predictors of acute LOS were stroke severity, lacunar stroke, prestroke dementia, and smoking. Independent predictors of total LOS were stroke severity and prestroke activities of daily living (ADL) dependency. The NIHSS items that best correlated with LOS were paresis, unilateral neglect and level of consciousness. Conclusions ,, Stroke severity is a strong and reliable predictor of LOS. The results of this study can be used as a baseline for evaluating cost-effectiveness of stroke care changes, e.g. organizational changes or evaluation of new drugs. [source]


The Effect of Emergency Department Expansion on Emergency Department Overcrowding

ACADEMIC EMERGENCY MEDICINE, Issue 4 2007
Jin H. Han MD
Abstract Objectives: To examine the effects of emergency department (ED) expansion on ambulance diversion at an urban, academic Level 1 trauma center. Methods: This was a pre-post study performed using administrative data from the ED and hospital electronic information systems. On April 19, 2005, the adult ED expanded from 28 to 53 licensed beds. Data from a five-month pre-expansion period (November 1, 2004, to March 1, 2005) and a five-month postexpansion period (June 1, 2005, to October 31, 2005) were included for this analysis. ED and waiting room statistics as well as diversion status were obtained. Total ED length of stay (LOS) was defined as the time from patient registration to the time leaving the ED. Admission hold LOS was defined as the time from the inpatient bed request to the time leaving the ED for admitted patients. Mean differences (95% confidence interval [CI]) in total time spent on ambulance diversion per month, diversion episodes per month, and duration per diversion episode were calculated. An accelerated failure time model was performed to test if ED expansion was associated with a reduction in ambulance diversion while adjusting for potential confounders. Results: From pre-expansion to postexpansion, daily patient volume increased but ED occupancy decreased. There was no significant change in the time spent on ambulance diversion per month (mean difference, 10.9 hours; 95% CI =,74.0 to 95.8), ambulance diversion episodes per month (two episodes per month; 95% CI =,4.2 to 8.2), and duration of ambulance diversion per episode (0.3 hours; 95% CI =,4.0 to 3.5). Mean (±SD) total LOS increased from 4.6 (±1.9) to 5.6 (±2.3) hours, and mean (±SD) admission hold LOS also increased from 3.0 (±0.2) to 4.1 (±0.2) hours. The proportion of patients who left without being seen was 3.5% and 2.7% (p = 0.06) in the pre-expansion and postexpansion periods, respectively. In the accelerated failure time model, ED expansion did not affect the time to the next ambulance diversion episode. Conclusions: An increase in ED bed capacity did not affect ambulance diversion. Instead, total and admission hold LOS increased. As a result, ED expansion appears to be an insufficient solution to improve diversion without addressing other bottlenecks in the hospital. [source]