Background: A regional trauma system must establish and monitor acceptable overtriage and undertriage rates. Although diagnoses from discharge data sets can be used with mortality prediction models to define high-risk injury, retrospective analyses introduce methodological errors when evaluating real-time triage processes. The purpose of this study was to determine if major trauma patients identified using field criteria correlated with those retrospectively labeled high risk and to assess system performance by measuring triage accuracy and trauma center utilization.
Methods: A statewide database was queried for all injury-related International Classification of Diseases, 9th Revision, code discharges from designated trauma centers and nontrauma centers for 2012. Children and burn patients were excluded. Patients assigned a trauma alert fee were considered field-triage(+). The International Classification Injury Severity Score methodology was used to estimate injury-related survival probabilities, with an International Classification Injury Severity Score less than 0.85 considered high risk. Triage rates were expressed relative to the total population; the proportion of low- and high-risk patients discharged from trauma centers defined trauma center utilization.
Results: There were 116,990 patients who met study criteria, including 11,368 (10%) high-risk, 70,741 field-triage(-) patients treated in nontrauma centers and 28,548 field-triage(-) and 17,791 field-triage(+) patients treated in trauma centers. Field triage was 86% accurate, with 10% overtriage and 4% undertriage. System triage was 66% accurate, with 32% overtriage and 2% undertriage. Overtriage patients more often, and undertriage patients less often, had severe injury characteristics than appropriately triaged patients.
Conclusion: Trauma system performance assessed using retrospective administrative data provides a convenient measure of performance but must be used with caution. Residual mistriage can partly be attributed to error introduced by retrospective high-risk definitions, whereas differences between field and system triage accuracy can be attributed to the trauma center's role as a large community hospital. Given the limitations of the data and methods, these results may represent optimal patient distribution within this mature system.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1097/TA.0000000000000660 | DOI Listing |
J Am Acad Orthop Surg
January 2025
From the Israel Defense Forces, Medical Corps, Kiryat Ono (Shapira, and Epstein), the Faculty of Medicine, The Hebrew University, Jerusalem (Shapira), the Sheba Medical Center, Tel Hashomer, Ramat Gan (Shapira), the Israel National Center for Trauma and Emergency Medicine Research, Gertner Institute of Epidemiology and Health Policy Research, Sheba Medical Center, Ramat Gan (Goldman, Givon, and Katorza), the Arrow Program for Medical Research Education, Chaim Sheba Medical Center, Tel-Hashomer, Ramat Gan (Katorza), the Faculty of Medical and Health Sciences, Tel Aviv University, Tel Aviv (Katorza, Dudkiewicz, and Prat), the Rehabilitation Division, Sheba Medical Center, Tel Hashomer, Ramat Gan (Dudkiewicz), the Critical Care Division, Rambam Health Care Campus, Haifa (Epstein), the Ruth and Bruce Rappaport Faculty of Medicine, Technion, Haifa (Epstein), and the Department of Orthopaedic Surgery, Sheba Medical Center, Tel Hashomer, Ramat Gan, Israel (Prat).
Background: In modern conflicts, extremities are mainly affected, with limb amputations required for approximately 5% of severely injured combatants and 7% of those with serious limb injuries. Amputations are some of the most challenging injuries endured by survivors, significantly affecting the patients and the healthcare system. This study aims to describe the rates, characteristics, and risk factors of limb amputations in patients with serious extremity trauma during the 2023 conflict in Israel.
View Article and Find Full Text PDFActa Orthop
January 2025
Department of Orthopedic Surgery and Traumatology, Kolding Hospital; Department of Clinical Research, University of Southern Denmark; Institute of Regional Health Research, University of Southern Denmark; Department of Orthopedic Surgery and Traumatology, Odense University Hospital, Denmark.
Background And Purpose: Disease- or procedure-specific registers offer valuable information but are costly and often inaccurate regarding outcome measures. Alternatively, automatically collected data from administrative systems could be a solution, given their high completeness. Our primary aim was to validate a method for identifying secondary surgical procedures (reoperations) in the Danish National Patient Register (DNPR) within the first year following primary fracture surgery.
View Article and Find Full Text PDFSurg Infect (Larchmt)
January 2025
Center for Trauma and Acute Care Surgery Research, Clinical Services Group, HCA Healthcare, Nashville, Tennessee, USA.
Previous work identified a sub-group of trauma patients at risk for bacteremia who presented with signs of infection, including fever. A majority were older adult falls who had early onset bacteremia. Fever in the trauma bay is associated with a greater risk of adverse outcomes and identifies patients who might benefit from early initiation of interventions for sepsis.
View Article and Find Full Text PDFJAMA Intern Med
January 2025
Harvard Medical School, Boston, Massachusetts.
Eur J Trauma Emerg Surg
January 2025
Intensive Care Department, Sainte Anne Military Teaching Hospital, Toulon, France.
Background: Haemorrhagic shock is the leading cause of preventable death among trauma patients. Early detection of severe haemorrhage is essential for initiating timely resuscitation and mobilizing resources for massive transfusion (MT) protocols and damage control procedures. This study aimed to assess the predictive value of prehospital haemoglobin (Hb) levels for the need for transfusion at admission, the presence of haemorrhagic shock (HS), and the necessity for MT or haemostatic surgery.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!