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. 2022 Nov 1;93(5):650-655.
doi: 10.1097/TA.0000000000003666. Epub 2022 May 12.

Integrating traffic safety data with area deprivation index: A method to better understand the causes of pediatric pedestrian versus automobile collisions

Víctor de Cos  1 , Alexandra S Rooney, Alicia G Sykes, Claudio B Ghetti, Owen S Henry, Andrea Krzyzaniak, Hari Thangarajah, Stephen W Bickler, Vishal Bansal, Matthew Martin, David Lazar, Romeo C Ignacio Jr
Affiliations

Integrating traffic safety data with area deprivation index: A method to better understand the causes of pediatric pedestrian versus automobile collisions

Víctor de Cos et al. J Trauma Acute Care Surg. .

Abstract

Background: The purpose of this study was to identify clinical and traffic factors that influence pediatric pedestrian versus automobile collisions (P-ACs) with an emphasis on health care disparities.

Methods: A retrospective review was performed of pediatric (18 years or younger) P-ACs treated at a Level I pediatric trauma center from 2008 to 2018. Demographic, clinical, and traffic scene data were analyzed. Area deprivation index (ADI) was used to measure neighborhood socioeconomic disadvantage (NSD) based on home addresses. Traffic scene data from the California Statewide Integrated Traffic Records System were matched to clinical records. Traffic safety was assessed by the streetlight coverage, the proximity of the collision to home addresses, and sidewalk coverage. Descriptive statistics and univariate analysis for key variables and outcomes were calculated using Kruskal-Wallis, Wilcoxon, χ 2 , or Fisher's exact tests. Statistical significance was attributed to p values of <0.05.

Results: Among 770 patients, the majority were male (65%) and Hispanic (54%), with a median age of 8 years (interquartile range, 4-12 years). Hispanic patients were more likely to live in more disadvantaged neighborhoods than non-Hispanic patients (67% vs. 45%, p < 0.01). There were no differences in clinical characteristics or outcomes across ADI quintiles. Using the Statewide Integrated Traffic Records System (n = 272), patients with more NSD were more likely injured during dark streetlight conditions (15% vs. 4% least disadvantaged; p = 0.04) and within 0.5 miles from home ( p < 0.01). Pedestrian violations were common (65%). During after-school hours, 25% were pedestrian violations, compared with 12% driver violations ( p = 0.02).

Conclusion: A larger proportion of Hispanic children injured in P-ACs lived in neighborhoods with more socioeconomic disadvantage. Hispanic ethnicity and NSD are each independently associated with P-ACs. Poor streetlight conditions and close proximity to home were associated with the most socioeconomically disadvantaged neighborhoods. This research may support targeted prevention programs to improve pedestrian safety in children.

Level of evidence: Prognostic/Epidemiological; Level IV.

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