Literature DB >> 32448774

Influence of emergency department patient volumes on CT utilization rate of the physician in triage.

Matthew Ullrich1, Virginia LaBond2, Todd Britt1, Kaitlyn Bishop1, Kimberly Barber1.   

Abstract

BACKGROUND: Physician in triage (PIT) has been used as a potential solution to emergency department (ED) overcrowding and to decrease ED length of stay (LOS). This study examined the relationship between computerized tomography (CT) utilization of PIT and ED patient volumes. We hypothesized that despite the pressure on PIT to improve throughput on the busiest days, they will continue to utilize CT at the same rate.
METHODS: This retrospective chart review evaluated CT ordering patterns of PIT on patients with abdominal pain who presented to the ED over a 6-year period. CT utilization rate was calculated on days with the lowest 5% (LD5) and highest 5% (HD5) volumes based on average yearly volume. CT positive and negative rates were correlated with volume using Chi square analysis. Odds ratio and confidence intervals were calculated for the magnitude of effect difference.
RESULTS: We found no statistically significant difference in CT utilization rate on HD5 vs LD5 (p = 0.833). There was a statistically significant increase in the rate of negative CT scans on HD5 (p = 0.046) which represented a 17% relative difference. LOS was longer on HD5 (p = 0.013) and when a CT scan was ordered (p < 0.001).
CONCLUSION: No difference was found in the rate at which the PIT ordered CT scans on high volume vs low volume days. The rate of CT scans without clinically relevant findings did increase slightly on high volume days. LOS was longer on high volume days and when a CT was ordered.
Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 32448774     DOI: 10.1016/j.ajem.2020.04.085

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  2 in total

1.  Predicting Patient Length of Stay in Australian Emergency Departments Using Data Mining.

Authors:  Sai Gayatri Gurazada; Shijia Caddie Gao; Frada Burstein; Paul Buntine
Journal:  Sensors (Basel)       Date:  2022-06-30       Impact factor: 3.847

2.  Assessing Hospital Resource Utilization with Application to Imaging for Patients Diagnosed with Prostate Cancer.

Authors:  Yazmine Lunn; Rudra Patel; Timothy S Sokphat; Laura Bourn; Khalil Fields; Anna Fitzgerald; Vandana Sundaresan; Greeshma Thomas; Michael Korvink; Laura H Gunn
Journal:  Healthcare (Basel)       Date:  2022-01-28
  2 in total

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