Evidence map›Paper›PMID 30506421›Full record

ArticleInjury epidemiology2018

Challenges in studying statewide pedestrian injuries and drug involvement.

Elizabeth D Nesoff, Charles C Branas, Silvia S Martins

Open access · goldAbstract read
In one paragraph

Article in Injury epidemiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Elizabeth D NesoffDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 W168th St, 5th floor, New York, NY, 10032, USA. en2408@columbia.edu.ORCID http://orcid.org/0000-0001-8562-8646
Charles C BranasDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 W168th St, 5th floor, New York, NY, 10032, USA.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 W168th St, 5th floor, New York, NY, 10032, USA.
Columbia University · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
State medical marijuana laws and NSDUH marijuana use and consequences since 2004R01DA037866 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MARTINS, SILVIA SABOIA · 2014 to 2018
$2.3M
NIDA NIH HHS R01 DA037866NIDA NIH HHS R01DA037866NIDA NIH HHS T32 DA031099NIDA NIH HHS T32DA031099
6 · The paper itself

Abstract

backgroundIncreasing U.S. rates of pedestrian injuries could be attributable in part to changing policies and attitudes towards drugs and associated increases in use, yet drug use has not been investigated widely as a risk factor for pedestrian injury. This study details challenges to investigating drug-involved pedestrian crashes using existing surveillance systems.

methodsUsing California police reports from 2004 to 2016, we performed simple linear regression with the proportion of data that was missing by year for drug and alcohol use as the outcome of interest. We also explored differences in the relative proportion of missing data across sex, race, and age groups through simple logistic regression. Finally, we compared missing data for alcohol and drug use indicators for pedestrians and drivers.

resultsFrom 2004 to 2016, 182,278 pedestrians were involved in crashes across California. Only 1.22% (n = 2219) of records indicated drug use, and 98% had missing data for drug use; the proportion of missing data did not change over time (b = - 0.040, p = 0.145, 95% CI = (- 0.095, 0.016)). The proportion of missing values for alcohol use increased each year (b = 0.49, 95% CI = (0.26, 0.72), p = 0.001). Driver drug and alcohol use indictors showed similar data missingness, and missing data did not show significant variation over time. Hispanics were more likely to have missing data for drug use compared to Whites (OR = 0.61, p < 0.001, 95% CI = (0.56, 0.67)), and Blacks were more likely to have missing data for alcohol use compared to Whites (OR = 0.87, p < 0.0001, 95% CI = (0.84, 0.91)).

conclusionsDrug use may be a key contributing factor to pedestrian injury, but drug use remains consistently and largely unmeasured in existing surveillance systems. Without better collection of drug and alcohol data, monitoring trends in drug-involved pedestrian injury will not be feasible.

Indexed as

AlcoholDrug useMarijuanaPedestrian injurySurveillance

Identifiers

PMID30506421
PMCPMC6275152
OpenAlexW2901895321

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.