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Physician-level variation exceeds time-of-day variation in diagnostic resource utilization in low-acuity emergency
Mehmet Şirin Büyükkaya1, Mesut Kina1, Mahmut Şahin1
1Department of Emergency Medicine, Van Training and Research Hospital, University of Health Sciences, Süphan Hava Yolu Kavşağı 1. Kilometre, Edremit, Van 65300, Turkey.
Background:
Emergency physicians working prolonged shifts may show temporal variation in clinical practice. We examined whether diagnostic resource utilization differed across scheduled shift periods in a structured low-acuity emergency department setting.
Methods:
This retrospective observational study included 11 032 visits for upper respiratory tract infection, myalgia, abdominal pain, or headache across 12 nonconsecutive 24-hour shifts (5 December 2025-19 January 2026) in a high-volume tertiary emergency department in Turkey. Visits were classified as early (0-5 h; 08:30-13:30), mid (5-10 h; 13:30-18:30), or late (10-16 h; 18:30-00:30) based on elapsed time since the scheduled shift start at 08:30. Multivariable logistic regression with physician-level clustered standard errors (19 clusters) adjusted for age, sex, and diagnostic category.
Results:
Laboratory testing rates were 9.5% across all periods (P = .997); imaging rates were 13.5%, 12.8%, and 12.6% (P = .485). The composite utilization score did not differ significantly (P = .682). Late-period consultation was lower than in the early period (odds ratio = 0.541, 95% confidence interval: 0.306-0.957), although this finding was limited by the low event count (n = 82). Inter-physician variation substantially exceeded shift-period variation, with laboratory rates ranging from 3.5% to 21.5% and imaging rates from 6.3% to 28.7%.
Conclusion:
In this low-acuity emergency department setting, scheduled shift period was not measurably associated with increased laboratory or imaging utilization. Physician-level variation appeared more prominent than shift-period variation, supporting prospective studies incorporating fatigue, workload, and decision-quality measures.
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