Implementation of an algorithm for chest imaging in blunt trauma decreases use of CT-scan: Resource management in a middle-income country.

Purpose: Due to the low sensitivity of chest radiography, chest CT-scan is usually recommended for the evaluation of high-risk blunt trauma patients. Considering the radiation exposure and costs accompanying routine CT-scan, the aim of this study was to design and implement an evidence-based institutional algorithm for selective chest imaging in high energy blunt trauma patients and evaluate its effect on patient outcome and resource utilization.

Methods: For this field trial, an institutional evidence-based algorithm for chest trauma imaging was designed according to existing data and expert panel. After final consent and ethic committee approval, the algorithm was integrated in the diagnostic flow sheet in the emergency department and patient data were collected from the pre- and post-implementation period.

Results: One-hundred and sixty-five patients before algorithm implementation and 158 patients after that were included. Chest CT-scan was requested for 93% of patients in the pre-implementation group and for 73% in the post-implementation group (P<0.001). Length of stay in hospital was slightly shorter in the post-implementation group (p = 0.036), however, duration of stay in emergency room and ICU, pulmonary complications and mortality showed no significant difference.

Conclusion: Implementation of an algorithm for limiting chest CT-scan to a subgroup of patients with a higher risk of chest injuries can reduce radiation exposure and more useful distribution of resources without harming the patients. Each institution should use institutional guidelines and algorithms with respect to patient load, available resources and desired sensitivity for injury detection.