| Literature DB >> 30882702 |
Po-Chun Chuang1, Yi-Syun Huang1, Charng-Yen Chiang1, E-Wai Zhang1, Fu-Jen Cheng1,2.
Abstract
Dizziness/vertigo is a common complaint in the emergency department (ED). We aimed to evaluate the effect of peer pressure on decision making in emergency physicians (EPs) to use computed tomography (CT) for patients with dizziness/vertigo.We conducted a before-and-after retrospective case review of patients who visited the ED with dizziness/vertigo. EPs were categorized into 3 groups according to seniority (in years of experience: >12, 7-12, and <7). The rate of CT use for EPs, patient number, and CT use were e-mailed monthly to update the EP team on the benchmark rate and shape of the behavior.Among the 1657 (preintervention) and 1508 (postintervention) patients with dizziness/vertigo, 320 (19.3%) and 230 (15.3%), respectively, underwent brain CT. A decrease in the rate of CT use was observed in the postintervention group (odds ratio [OR] = 0.743, 95% confidence interval [CI] = 0.615-0.897), especially in junior EPs (years of experience, <7; OR = 0.667, 95% CI: 0.474-0.933) and younger patients (age, <60) (OR = 0.625, 95% CI: 0.453-0.857).The intervention strategy created peer pressure through e-mail reminders and decreased the rate of CT use for patients with isolated dizziness/vertigo, especially in junior EPs and younger patients.Entities:
Mesh:
Year: 2019 PMID: 30882702 PMCID: PMC6426615 DOI: 10.1097/MD.0000000000014887
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Demographic characteristics of emergency department patients in the preintervention and postintervention groups.
Demographic characteristics of the emergency department patients in the brain computed tomography (+) or computed tomography (–) groups.
Figure 1Computed tomography use rate in preintervention and postintervention.
Computed tomography (CT) performed at the emergency department.
Figure 2Comparison of the adjusted odds ratio of head computed tomography (CT) use and admission. The confounders that the model was adjusted for age, male sex, hypertension, diabetes, previous transient ischemic attack/stroke, hypercholesterolemia, atrial fibrillation, and mean blood pressure during triage.