Objectives: To assess gaps in emergency department (ED) syphilis screening in patients receiving testing for other sexually transmitted infections (STI) within a large healthcare system in Upstate South Carolina (SC).
Methods: A retrospective cohort study of patients (aged 13+) tested for STIs (gonorrhea, chlamydia, or trichomonas) across eight EDs from 1/1/2020-12/31/2024 was examined. A missed opportunity (MO) for syphilis screening was defined as absent syphilis screening during any ED encounter where STI testing obtained. Adjusted logistic regression identified characteristics associated with a MO for syphilis screening.
Results: Between 2020 and 2024 syphilis screening increased by 127.1%, occurring in 9.9% of all encounters. Patients were less likely to have a MO if they were aged 13-19 years compared to 30-34 years (aOR = 0.89, 95%CI = 0.77-1.02), attended an ED with an opt-out screening program (aOR = 0.84, 95%CI = 0.78-0.91) or had a history of any STI (aOR = 0.80, 95%CI = 0.71-0.91). Individuals were more likely to have an MO if they were female (aOR = 1.82, 95%CI = 1.65-2.00) uninsured (aOR = 1.17, 95%CI = 1.07-1.28), had one STI screen (aOR = 3.47, 95%CI = 2.95-4.09) or two STI screens (aOR = 1.19, 95%CI = 1.09-1.31) compared to three STI screens, and had no previous history of HIV (aOR = 1.77, 95%CI = 1.26-2.47) or syphilis (aOR = 2.82, 95%CI = 2.13-3.74).
Conclusions: Notable gaps exist in ED syphilis screening within patients receiving testing for other STIs. Adopting ED syphilis screening initiatives is urgently necessary to expand screening in high-risk geographic areas as recommended by the CDC.
Background: The pre-hospital phase is a critical factor affecting the prognosis of patients with traumatic intracranial hemorrhage (TICH). Early recognition, rapid transport, and optimized pre-hospital management can significantly influence patient outcomes.
Objective: To compare the impact of "traditional pre-optimized workflow" versus "post-optimization workflow" pre-hospital transport models on scene-to-CT time, scene-to-surgery time, and complication rates in TICH patients.
Methods: This retrospective cohort study analyzed patients treated by the pre-hospital emergency system between January 2023 and June 2025. Patients were divided into a control group (traditional workflow, January 2023 - February 2024) and an optimization group (post-implementation of standardized triage, direct imaging access, and wireless remote command, March 2024-June 2025). Primary outcomes were scene-to-CT time and scene-to-surgery time. Secondary outcomes included early complications (hypotension, hypoxemia, rebleeding, and transport-related hypothermia). Advanced hypothesis testing analyses included multivariable logistic regression and Cox Proportional Hazards models.
Results: The study included 223 TICH patients. The optimization group showed significantly reduced scene-to-CT time [from 52 (IQR 44-63) to 37 (IQR 31-45) minutes, p < 0.001] and scene-to-surgery time [from 89 (IQR 76-108) to 67 (IQR 56-82) minutes, p < 0.001]. Cox regression analysis indicated that the optimization group had a significantly higher likelihood of receiving definitive treatment (adjusted HR 2.14, 95% CI 1.58-2.90). Treatment-related complications decreased significantly, with hypothermia rates reducing from 21 (18.6%) to 8 (7.3%) and hypoxemia from 17 (15.0%) to 6 (5.5%). Multivariable logistic regression confirmed that workflow optimization was independently associated with reduced odds of complications (adjusted OR 0.44, 95% CI 0.24-0.79).
Conclusion: Pre-hospital workflow optimization, specifically incorporating rapid dispatch protocols, direct transport to neurosurgical-capable facilities, wireless telemedicine consultation, and standardized point-of-care resuscitation, significantly reduced the time from scene to surgery and improved rescue efficiency while decreasing complication rates in TICH patients. These improvements suggest that systematic integration of evidence-based pre-hospital interventions represents a feasible and essential strategy for regional trauma networks.

