Accuracy and influencing factors of the Field Triage Decision Scheme for adult trauma patients at a level-1 trauma center in Korea

Byung Hee Kang, Kyoungwon Jung, Sora Kim, So Hyun Youn, Seo Young Song, Yo Huh, Hyuk Jae Chang

Research output: Contribution to journalArticlepeer-review


Background: We evaluated the accuracy of the prehospital Field Triage Decision Scheme, which has recently been applied in the Korean trauma system, and the factors associated with severe injury and prognosis at a regional trauma center in Korea. Methods: From 2016 to 2018, prehospital data of injured patients were obtained from the emergency medical services of the national fire agency and matched with trauma outcomes at our institution. Severe injury (Injury Severity Score > 15), overtriage/undertriage rate, positive predictive value, negative predictive value, and accuracy were reviewed according to the triage protocol steps. A multivariate logistic regression analysis was performed to identify influencing factors in the field triage. Results: Of the 2438 patients reviewed, 853 (35.0%) were severely injured. The protocol accuracy was as follows: step 1, 72.3%; step 2, 65.0%; step 3, 66.2%; step 1 or 2, 70.2%; and step 1, 2, or 3, 66.4%. Odds ratios (OR) (95% confidence interval [CIfor systolic blood pressure < 90 mmHg (3.535 [1.920–6.509]; p < 0.001), altered mental status (17.924 [8.980–35.777]; p < 0.001), and pedestrian injuries (2.473 [1.339–4.570], p = 0.04) were significantly associated with 24-h mortality. Penetrating torso injuries (7.108 [4.108–12.300]; p < 0.001); two or more proximal long bone fractures (4.134 [2.316–7.377]); p < 0.001); crushed, degloved, and mangled extremities (8.477 [4.068–17.663]; p < 0.001); amputation proximal to the wrist or ankle (42.964 [5.764–320.278]; p < 0.001); and fall from height (2.141 [1.497–3.062]; p < 0.001) were associated with 24-h surgical intervention. Conclusion: The Korean field triage protocol is not yet accurate, with only some factors reflecting injury severity, making reevaluation necessary.

Original languageEnglish
Article number101
JournalBMC Emergency Medicine
Issue number1
Publication statusPublished - 2022 Dec

Bibliographical note

Funding Information:
This work was supported by a grant, funded by the 2019 IT Promotion fund (Development of AI-based Precision Medicine Emergency System) of the Korean government (Ministry of Science and ICT). English language editing was done by Editage ( ).

Publisher Copyright:
© 2022, The Author(s).

All Science Journal Classification (ASJC) codes

  • Emergency Medicine


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