Factors associated with length of stay following an emergency medical admission

European Journal of Internal Medicine
Seán CournaneB Silke

Abstract

Hospitals are under pressure to use resources in the most efficient manner. We have examined the factors predicting Length of Stay (LOS) in one institution, using a database of all episodes of emergency medical admissions prospectively collected over 12 years. To examine the ability to predict hospital LOS following an emergency medical hospital admission. All emergency admissions (66,933 episodes; 36,271 patients) to St. James's Hospital, Dublin, Ireland over a 12-year period (2002-2013) were evaluated in relation to LOS. Predictor variables (identified univariately) were entered into a multiple logistic regression model to predict a longer or shorter LOS (bivariate at the median). The data was also modelled as count data (absolute LOS), using zero truncated Poisson regression methodology. Appropriate post-estimation techniques for model fit were then applied to assess the resulting model. The major predictors of LOS included Acute Illness Severity (biochemical laboratory score at admission), Charlson co-morbidity, Manchester Triage Category at admission, Diagnosis Related Group, sepsis status (based on blood culture result), and Chronic Disease Score Indicator. The full model to predict a LOS above or below the median had an ...Continue Reading

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Citations

Oct 20, 2015·European Journal of Internal Medicine·Seán CournaneBernard Silke
Sep 16, 2015·European Journal of Internal Medicine·Seán CournaneBernard Silke
Apr 4, 2017·The Journal of Rural Health : Official Journal of the American Rural Health Association and the National Rural Health Care Association·Leela V ThomasJan E Christopher
Jul 27, 2021·Medical Care·Vincent LequertierAntoine Duclos

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