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Updated: Jun 19, 2026

A Novel Approach for the Administration of Medications and Fluids in Emergency Scenarios and Settings
Published on: November 9, 2016
Medication use across transition points from the emergency department: identifying factors associated with medication
Elizabeth Manias1, Marie Frances Gerdtz, Tracey J Weiland
1Melbourne School of Health Sciences, Faculty of Medicine Dentistry and Health Sciences, The University of Melbourne, Carlton, Victoria, Australia.
Background:
As patients move across transition points of care, medication discrepancies are likely to occur. In the emergency department (ED), patients are vulnerable to medication discrepancies because they are in an environment in which rapid decisions need to be made under high levels of stress.
Objective:
To identify the patient-, environment-, and medication-related factors involving unexplained medication discrepancies across transition points after ED presentation.
Methods:
Using a retrospective chart review design, a stratified, random sampling of data was undertaken over a 12-month period. Information was obtained from an electronic administrative database and medical records as patients moved from the ED to another transition point of care. Medication discrepancies were classified into 2 outcome groups: (1) no discrepancies and situations in which discrepancies were adequately explained and (2) discrepancies that had no adequate explanation.
Results:
For the 12-month period, 210 randomly selected patients were included; 73 (34.8%) had at least one unexplained medication discrepancy. Binary logistic regression modeling showed 4 factors that were statistically significant in determining the incidence of at least one unexplained medication discrepancy. Benefit card holders (individuals who receive benefits from government insurance programs comparable to the US-based Medicare and Medicaid initiatives, which include the elderly, the disabled, low income earners, and unemployed persons) had 3.73 greater odds of experiencing an unexplained medication discrepancy (95% CI 1.72 to 8.07; p = 0.001). Patients prescribed 5 or more drugs at discharge from the ED had 12.22 greater odds of having at least one unexplained medication discrepancy (95% CI 5.52 to 27.08; p < 0.001). Patients who were first seen by a physician within 1 hour of a change in working shift had 3.70 greater odds of having an unexplained medication discrepancy (95% CI 1.67 to 8.18; p = 0.001). For each additional minute of wait time for a physician, the odds of having an unexplained medication discrepancy increased by a factor of 1.01 (95% CI 1.00 to 1.01; p = 0.042).
Conclusions:
Patient-, environment-, and drug-related factors contribute to the risk of medication discrepancies across transition points from the ED.
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