Publications by authors named "Recep Gezer"

Background: Administrative data are a powerful tool for population-level trauma research but lack the trauma-specific diagnostic and injury severity codes needed for risk-adjusted comparative analyses. The objective of this study was to validate an algorithm to derive Abbreviated Injury Scale (AIS-2005 update 2008) severity scores from Canadian International Classification of Diseases (ICD-10-CA) diagnostic codes in administrative data.

Methods: This was a retrospective cohort study using data from the 2009 to 2017 Ontario Trauma Registry for the internal validation of the algorithm.

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Purpose: Most North American trauma systems have designated trauma centres (TCs) including level I (ultraspecialized high-volume metropolitan centres), level II (specialized medium-volume urban centres), and/or level III (semirural or rural centres). Trauma system configuration varies across provinces and it is unclear how these differences influence patient distributions and outcomes. We aimed to compare patient case mix, case volumes, and risk-adjusted outcomes of adults with major trauma admitted to designated level I, II, and III TCs across Canadian trauma systems.

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Purpose: Trauma team leaders (TTLs) have traditionally been general surgeons; however, some trauma centres use a mixed model of care where both surgeons and non-surgeons (primarily emergency physicians) perform this role. The objective of this multicentre study was to provide a well-powered study to determine if TTL specialty is associated with mortality among major trauma patients.

Methods: Data were collected from provincial trauma registries at six level 1 trauma centres across Canada over a 10-year period.

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Background: Benchmarking is crucial for quality improvement of trauma systems. The Pediatric Resuscitation and Trauma Outcome (PRESTO) model allows risk-adjusted comparisons of in-hospital mortality for pediatric trauma populations in under-resourced environments. Our aim was to validate PRESTO in a high-resource setting using provincial Trauma Registry (TR) data and compare it to the standard benchmarking model, the Injury Severity Score (ISS).

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