Background: With the development of regionalised trauma networks, interhospital transfer of trauma patients is an inevitable component of the trauma system. However, unnecessary transfer is a common phenomenon, and it is not without risk and cost. A better understanding of secondary overtriage would enable emergency physicians to make better decisions about trauma transfers and allow guidelines to be developed to support this decision making. This study aimed to describe the pattern of secondary overtriage in Hong Kong and identify its associated factors.
Methods: This was a retrospective review of 10-years of prospectively collected multi-center data from two trauma registries in the New Territories of Hong Kong (2013-2022). The primary outcome is secondary overtriage, which was defined as early discharge alive within 48 h, Injury Severity Score (ISS) <15, and no surgical operation done. Patient characteristics, physiology, anatomy and investigation variables were compared against secondary overtriage using univariate and multivariable analyses.
Results: During the study period, 3852 patients underwent interhospital transfer from a non-trauma center to a trauma center, and 809 (21 %) of the transfers were considered secondary overtriage. The secondary overtriage rate was higher in pediatric age groups at 34.8 % (97/279). Logistic regression analysis showed secondary overtriage to be associated with blunt trauma and an Abbreviated Injury Scale (AIS) score of <3 for head or neck, thorax, abdomen and extremities.
Conclusion: Interhospital transfer is an essential component of the trauma system. However, over one-fifth of the transfers were considered unnecessary in Hong Kong, and this could be considered to be an inefficient use of resources as well as cause inconvenience to patients and their families. We have identified related factors including blunt trauma, AIS <3 scores for head or neck, thorax, abdomen and extremities, and opportunities to establish and improve on transfer protocols. Further research should be aimed to safely reduce interhospital transfers in the future to improve the efficiency of the Hong Kong trauma system.
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http://dx.doi.org/10.1016/j.ajem.2024.09.039 | DOI Listing |
BMC Emerg Med
December 2024
Department of Bioinformatics and Medical Engineering, Asia University, No. 500, Liufeng Rd., Wufeng Dist, Taichung City, 413305, Taiwan.
Background: Accurate triage is required for efficient allocation of resources and to decrease patients' length of stay. Triage decisions are often subjective and vary by provider, leading to patients being over-triaged or under-triaged. This study developed machine learning models that incorporated natural language processing (NLP) to predict patient disposition.
View Article and Find Full Text PDFJ Pediatr Surg
October 2024
Department of Surgery, University of Utah School of Medicine, Salt Lake City, UT, USA.
J Med Internet Res
September 2024
Department of Health Management, Naval Medical University, Shanghai, China.
Background: Prehospital trauma triage is essential to get the right patient to the right hospital. However, the national field triage guidelines proposed by the American College of Surgeons have proven to be relatively insensitive when identifying severe traumas.
Objective: This study aimed to build a prehospital triage model to predict severe trauma and enhance the performance of the national field triage guidelines.
Am J Emerg Med
December 2024
Trauma & Emergency Centre, Prince of Wales Hospital, Hong Kong; Accident and Emergency Medicine Academic Unit, Chinese University of Hong Kong, Hong Kong. Electronic address:
JAMA Netw Open
September 2024
Division of Trauma, Acute Care Surgery, and Surgical Critical Care, Department of Surgery, University of California, Davis, Medical Center, Sacramento.
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