ArticleAccident; analysis and prevention2015
Evaluating adverse rural crash outcomes using the NHTSA State Data System.
Article in Accident; analysis and prevention, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
5 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Mechanism of injury and special considerations as predictive of serious injury: A systematic review.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2022Pooled it
- Risk factors for traffic violations and serious crash casualties in rural areas: a comparison of urban-rural differences in China.Frontiers in public health · 2026Article
- Urban-rural differences in the age of US physicians.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025Article
- Using Rural⁻Urban Continuum Codes (RUCCS) to Examine Alcohol-Related Motor Vehicle Crash Injury and Enforcement in New York State.International journal of environmental research and public health · 2019Article
- Association Between Emergency Medical Service Response Time and Motor Vehicle Crash Mortality in the United States.JAMA surgery · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
introductionThe population-based rate of motor vehicle crash mortality is consistently higher in rural locations, but it is unclear how much of this disparity might be due to geographic barriers or deficiencies in emergency medical services (EMS). We sought to analyze separately factors associated with the occurrence of a severe injury and those associated with death after injury had occurred.
methodsData from all police-reported crashes in 11 states from 2005-2007 were obtained through the National Highway Traffic Safety Administration (NHTSA) State Data System (SDS). Logistic regression was used to estimate factors associated with (1) death; (2) severe (incapacitating or fatal) injury; and (3) death given severe injury. Models included covariates related to the person, vehicle, and event; county location was specified using Rural-Urban Continuum Codes (RUCC).
resultsOlder age, not wearing a belt, ejection, alcohol involvement, high speed, and early morning times were associated with increased risk of both severe injury and death. Controlling for these factors, and restricting analysis to persons who had suffered a severe injury, the adjusted odds ratio (aOR) associated with death was higher for counties classified rural (RUCC 6-7, aOR 1.23, 95% CI 1.16-1.31) or very rural (RUCC 8-9, aOR 1.31, 95% CI 1.18-1.46).
conclusionsPersons severely injured in crashes are more likely to die if they are in rural locations, possibly due to EMS constraints. As NHTSA-SDS data become more available and more uniform, they may be useful to explore specific factors contributing to this increased risk.
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Registered trials
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