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Understanding the key correlates of post-crash clinical indicators and outcomes in road traffic crashes
Saad Ahmad1, Numan Ahmad2, Zhi Dong3
1Transportation Engineering, National Institute of Transportation (NIT), National University of Sciences and Technology (NUST), Risalpur, Pakistan.
Abstract:
This study investigates the association of pre-crash factors (i.e., driver/rider behaviors and roadway conditions), and emergency response attributes (pre-hospital time (PHT) and mode of evacuation) with clinical outcomes directly and through the three post-crash clinical indicators, harnessing an extensive hospital-based dataset (N = 273,362) collected in Karachi (Pakistan). The three jointly estimated ordered probit models for post-crash clinical indicators including Glasgow Coma Scale (GCS), Systolic Blood Pressure (SBP), and Respiratory Rate (RR) outperformed their independent counterparts, while a multinomial logit model estimated the association of the three post-crash clinical indicators (along with other explanatory variables) with the final clinical outcomes (e.g., mortality, admitted, discharge etc.) in RTCs. The findings reveal that underage driving/riding significantly increases the chance of severe GCS (3-8), RR (<10 bpm), and SBP (<76 mmHg) by 1.959%, 0.957%, and 0.842%, respectively. Delay in pre-hospital time significantly worsens the three post-crash clinical indicators. On the other hand, the chance of severe GCS, SBP, and RR reduced significantly by 6.657%, 5.728%, and 5.528%, respectively, if a private vehicle was used for evacuation. Based on the clinical outcome model, severe GCS, SBP, and RR (compared to their normal values) increase the chance of mortality by 0.444%, 3.149%, and 6.785%, respectively, underscoring RR as the most critical indicator. The findings of path analysis further highlighted indirect effects surpassing direct ones; for example, pre-crash medical conditions of crash victims (mostly drivers/riders) directly increase the chance of mortality by 0.538%; however, in total (after considering indirect effects) by 1.670% via severe post-crash clinical indicators, where the latter is ∼3 times the direct effects. These outcomes underline the significance of effective and well-timed emergency response. Practical implications are discussed in the paper.
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