Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois

Colleen Fant; Joy Koopmans; Norma Jean E. Simon; Doug Lorenz; Karen Rychlik; Karen Sheehan

doi:10.1080/17457300.2020.1835988

Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois

Colleen Fant^*, Joy Koopmans, Norma Jean E. Simon, Doug Lorenz, Karen Rychlik, Karen Sheehan

^*Corresponding author for this work

Pediatrics

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

We obtained and linked data from the Illinois Department of Transportation and the Illinois Hospital Discharge Data System 2008 − 2015. We evaluated differences in demographic characteristics, injury severity and type among cases and examined associations among injury type, severity, and crash location. There were 11,303 injured pedestrians under 19 years of age and 46% matched to hospital data. Demographic characteristics were similar to unlinked cases. Among linked cases, fractures, traumatic brain injury, open wound or amputation, and internal organ injuries occurred more often in rural areas (p < 0.001), as were more severe injuries (p < 0.001). Mild injury and soft tissue injuries occurred more often in urban areas (p < 0.001). These data can inform targeted interventions for injury reduction. Preliminary investigations found that more severe injuries and specific injury types are more likely to occur in rural versus urban settings. Our combined database approach may be extended to other databases.

Original language	English (US)
Pages (from-to)	22-28
Number of pages	7
Journal	International Journal of Injury Control and Safety Promotion
Volume	28
Issue number	1
DOIs	https://doi.org/10.1080/17457300.2020.1835988
State	Published - 2020

Funding

This research has been supported in part by the Stanley Manne Children’s Research Institute and Ann & Robert H. Lurie Children’s Hospital of Chicago. The study team acknowledges the Division of Emergency Medicine at Ann and Robert Lurie Children’s Hospital of Chicago for providing developmental support of this study, and the Illinois Department of Public Health for providing data.

Keywords

Pediatric pedestrian
crash
injury
location
rural
urban

ASJC Scopus subject areas

Safety Research
Public Health, Environmental and Occupational Health

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/17457300.2020.1835988

Cite this

Fant, C., Koopmans, J., Simon, N. J. E., Lorenz, D., Rychlik, K., & Sheehan, K. (2020). Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois. International Journal of Injury Control and Safety Promotion, 28(1), 22-28. https://doi.org/10.1080/17457300.2020.1835988

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title = "Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois",

abstract = "We obtained and linked data from the Illinois Department of Transportation and the Illinois Hospital Discharge Data System 2008 − 2015. We evaluated differences in demographic characteristics, injury severity and type among cases and examined associations among injury type, severity, and crash location. There were 11,303 injured pedestrians under 19 years of age and 46% matched to hospital data. Demographic characteristics were similar to unlinked cases. Among linked cases, fractures, traumatic brain injury, open wound or amputation, and internal organ injuries occurred more often in rural areas (p < 0.001), as were more severe injuries (p < 0.001). Mild injury and soft tissue injuries occurred more often in urban areas (p < 0.001). These data can inform targeted interventions for injury reduction. Preliminary investigations found that more severe injuries and specific injury types are more likely to occur in rural versus urban settings. Our combined database approach may be extended to other databases.",

keywords = "Pediatric pedestrian, crash, injury, location, rural, urban",

author = "Colleen Fant and Joy Koopmans and Simon, {Norma Jean E.} and Doug Lorenz and Karen Rychlik and Karen Sheehan",

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Fant, C, Koopmans, J, Simon, NJE, Lorenz, D, Rychlik, K & Sheehan, K 2020, 'Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois', International Journal of Injury Control and Safety Promotion, vol. 28, no. 1, pp. 22-28. https://doi.org/10.1080/17457300.2020.1835988

Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois. / Fant, Colleen; Koopmans, Joy; Simon, Norma Jean E. et al.
In: International Journal of Injury Control and Safety Promotion, Vol. 28, No. 1, 2020, p. 22-28.

Research output: Contribution to journal › Article › peer-review

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T2 - using a database derived from state-wide crash data and hospital discharge data in Illinois

AU - Fant, Colleen

AU - Koopmans, Joy

AU - Simon, Norma Jean E.

AU - Lorenz, Doug

AU - Rychlik, Karen

AU - Sheehan, Karen

N1 - Funding Information: This research has been supported in part by the Stanley Manne Children’s Research Institute and Ann & Robert H. Lurie Children’s Hospital of Chicago. The study team acknowledges the Division of Emergency Medicine at Ann and Robert Lurie Children’s Hospital of Chicago for providing developmental support of this study, and the Illinois Department of Public Health for providing data. Publisher Copyright: © 2020 Informa UK Limited, trading as Taylor & Francis Group.

PY - 2020

Y1 - 2020

N2 - We obtained and linked data from the Illinois Department of Transportation and the Illinois Hospital Discharge Data System 2008 − 2015. We evaluated differences in demographic characteristics, injury severity and type among cases and examined associations among injury type, severity, and crash location. There were 11,303 injured pedestrians under 19 years of age and 46% matched to hospital data. Demographic characteristics were similar to unlinked cases. Among linked cases, fractures, traumatic brain injury, open wound or amputation, and internal organ injuries occurred more often in rural areas (p < 0.001), as were more severe injuries (p < 0.001). Mild injury and soft tissue injuries occurred more often in urban areas (p < 0.001). These data can inform targeted interventions for injury reduction. Preliminary investigations found that more severe injuries and specific injury types are more likely to occur in rural versus urban settings. Our combined database approach may be extended to other databases.

AB - We obtained and linked data from the Illinois Department of Transportation and the Illinois Hospital Discharge Data System 2008 − 2015. We evaluated differences in demographic characteristics, injury severity and type among cases and examined associations among injury type, severity, and crash location. There were 11,303 injured pedestrians under 19 years of age and 46% matched to hospital data. Demographic characteristics were similar to unlinked cases. Among linked cases, fractures, traumatic brain injury, open wound or amputation, and internal organ injuries occurred more often in rural areas (p < 0.001), as were more severe injuries (p < 0.001). Mild injury and soft tissue injuries occurred more often in urban areas (p < 0.001). These data can inform targeted interventions for injury reduction. Preliminary investigations found that more severe injuries and specific injury types are more likely to occur in rural versus urban settings. Our combined database approach may be extended to other databases.

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Urban versus rural setting as a predictor of injury type and severity among pediatric pedestrians: using a database derived from state-wide crash data and hospital discharge data in Illinois

Abstract

Funding

Keywords

ASJC Scopus subject areas

UN SDGs

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