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Assessing the impact of streaming in a regional emergency department
Author(s) -
Kinsman Leigh,
Champion Robert,
Lee Geraldine,
Martin Mary,
Masman Kevin,
May Elizabeth,
Mills Terry,
Taylor Michael D,
Thomas Paulett,
Williams Ruth J,
Zalstein Salomon
Publication year - 2008
Publication title -
emergency medicine australasia
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.602
H-Index - 52
eISSN - 1742-6723
pISSN - 1742-6731
DOI - 10.1111/j.1742-6723.2008.01077.x
Subject(s) - medicine , emergency department , emergency medicine , metropolitan area , triage , nursing , pathology
Objective: To evaluate the impact of a streaming model, previously validated in metropolitan EDs, on selected performance indicators in a regional ED. Method: Multiple linear regression models were applied to monthly time series data from 43 months prior to the intervention and 15 months following the intervention to measure the impact of the streaming model on the following performance indicators: (i) percentage of emergency patients admitted to an inpatient bed within 8 h; (ii) percentage of non‐admitted emergency patients with a length of stay of less than 4 h; and (iii) percentage of emergency patients who left without being seen by a doctor or nurse practitioner. Setting: Bendigo Health ED in regional Victoria. Results: Prior to the introduction of streaming, there was a downward trend in both the percentage of emergency patients admitted to an inpatient bed within 8 h, and the percentage of non‐admitted emergency patients with a length of stay of less than 4 h. After the introduction of streaming, these trends were reversed ( P = 0.008 and P = 0.004, respectively). There was no statistically significant change in the trend associated with the percentage of emergency patients who left without being seen ( P = 0.904). Conclusions: The implementation of the streaming model had an impact on the two performance indicators associated with length of stay in this regional ED, but did not have a significant impact (positive or negative) on the percentage of patients who did not wait to be seen. These results might interest other EDs in regional hospitals.