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  • Nolan, Brodie  (1)
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    In: Trauma, SAGE Publications, Vol. 25, No. 1 ( 2023-01), p. 17-22
    Abstract: Approximately 30% of patients meeting severe injury criteria are never transferred to lead trauma centers (LTCs). The reasons for this gap are not fully understood but involve both system-level factors and individual decision-making. We used a method called discrete choice modeling (DCM) to evaluate which clinical and demographic patient factors might make emergency physicians more likely to initiate transfers to LTCs. Methods An email survey was distributed to physicians working in emergency departments (EDs) in Ontario. The relative importance of clinical and demographic patient attributes as drivers for transfer was evaluated using DCM. Simulated patient cases were created using a random generator to combine attributes. Each respondent was presented with 36 different patients in sets of three and asked if they would transfer each patient to an LTC. The relative importance of each driver was then compared across physician characteristics. Results One hundred and fifty three emergency physicians completed the survey. The drivers for transfer, expressed as utility scores, were derangements in hemodynamics (22), CNS/head injuries (19), pelvic fractures (11), chest injuries (10), comorbidities (9), abdominal injuries (8), extremity injuries (7), mechanism of injury (7), age (5), and gender (2). Drivers for patient transfer did not differ based on physician experience or type of training. Conclusion In this DCM study, the clinical and demographic factors most likely to make emergency physicians consider patient transfers to LTCs were patient hemodynamic derangements and CNS/head injuries. Overall, these drivers did not differ by physician experience or training. An understanding of such patient-level drivers for transfers to LTCs may improve the implementation of evidence-based interfacility transfer criteria.
    Type of Medium: Online Resource
    ISSN: 1460-4086 , 1477-0350
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2010984-2
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