Time Series Analysis of Variables Associated With Daily Mean Emergency Department Length of Stay

Volume: 49, Issue: 3, Pages: 265 - 271
Published: Mar 1, 2007
Abstract
We measure the effect of various input, throughput, and output factors on daily emergency department (ED) mean length of stay per patient (daily mean length of stay).The study was a retrospective review of 93,274 ED visits between April 15, 2002, and December 31, 2003. The association between the daily mean length of stay and the independent variables was assessed with autoregressive moving average time series analysis (ARIMA). The following...
Paper Details
Title
Time Series Analysis of Variables Associated With Daily Mean Emergency Department Length of Stay
Published Date
Mar 1, 2007
Volume
49
Issue
3
Pages
265 - 271
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.