Predicting trauma admissions: the effect of weather, weekday, and other variables.

Kevin A. Friede, Marc C. Osborne, Darin J. Erickson, Jon S. Roesler, Arsalan Azam, J. Kevin Croston, Michael D. McGonigal, Arthur L. Ney

Research output: Contribution to journalArticlepeer-review

46 Scopus citations

Abstract

One of the challenges all hospitals, especially designated trauma centers, face is how to make sure they have adequate staffing on various days of the week and at various times of the year. A number of studies have explored whether factors such as weather, temporal variation, holidays, and events that draw mass gatherings may be useful for predicting patient volume. This article looks at the effects of weather, mass gatherings, and calendar variables on daily trauma admissions at the three Level I trauma hospitals in the Minneapolis-St. Paul metropolitan area. Using ARIMA statistical modeling, we found that weekends, summer, lack of rain, and snowfall were all predictive of daily trauma admissions; holidays and mass gatherings such as sporting events were not. The forecasting model was successful in reflecting the pattern of trauma admissions; however, it's usefulness was limited in that the predicted range of daily trauma admissions was much narrower than the observed number of admissions. Nonetheless, the observed pattern of increased admission in the summer months and year-round on Saturdays should be helpful in resource planning.

Original languageEnglish (US)
Pages (from-to)47-49
Number of pages3
JournalMinnesota medicine
Volume92
Issue number11
StatePublished - Nov 2009

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