Evidence map›Paper›PMID 33714054›Full record

ArticleAccident; analysis and prevention2021

Drug presence in driving deaths in Maryland: Comparing trends and prevalence in medical examiner and FARS data.

Johnathon P Ehsani, Jeffrey P Michael, Michelle Duren, Wendy C Shields, Richard P Compton, David Fowler, Gordon Smith

Open access · greenAbstract read
In one paragraph

Article in Accident; analysis and prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
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

7 authors at 4 institutions in 1 country.

Johnathon P EhsaniDepartment of Health Policy and ManagEment, Johns Hopkins Bloomberg School of Public Health, United States. Electronic address: johnathon.ehsani@jhu.edu.
Jeffrey P MichaelDepartment of Health Policy and ManagEment, Johns Hopkins Bloomberg School of Public Health, United States.
Michelle DurenDepartment of Health Policy and ManagEment, Johns Hopkins Bloomberg School of Public Health, United States.
Wendy C ShieldsDepartment of Health Policy and ManagEment, Johns Hopkins Bloomberg School of Public Health, United States.
Richard P ComptonTraffic Safety Research, United States.
David FowlerFormer Chief Medical Examiner at Office Of the Chief Medical Examiner Maryland, United States.
Gordon SmithDepartment of Epidemiology, West Virginia University School of Public Health, United States.
Johns Hopkins University · USNational Highway Traffic Safety Administration · USOffice of Chief Medical Examiner · USWest Virginia University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
Drugs and Driving: Developing a Sentinel Drug_FARS for ResearchR21DA040187 · NIDA · WEST VIRGINIA UNIVERSITY · PI SMITH, GORDON STEPHEN · 2016 to 2017
$360k
NIDA NIH HHS R21 DA040187NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

Accurate and reliable information on drug use by road users is essential to inform safety policy development but the reliability of national data has been questioned. There are two primary repositories of drug test information from fatal motor vehicle crashes in Maryland: (1) the Fatality Analysis Reporting System (FARS), which is a national crash database managed by the US Department of Transportation, and (2) the Maryland Medical Examiner (ME). In this study, we compared drug test information for people killed in crashes in Maryland between the FARS system and ME from 2006 - 2018. As ME records are the primary source for the FARS data from Maryland, these two data sets should be closely correlated. We used probabilistic linkage to match FARS and ME cases and compared matched cases by individual drug group. Matching was achieved on 83 % of cases (N = 4803 matched pairs). ME data consistently indicated higher overall incidence and trends in the presence of depressants, narcotics, and stimulants in crash deaths. Sensitivity analysis using both strict and relaxed matching criteria did not change this result. Road safety policy and prevention efforts for crashes involving drugs and alcohol require an accurate understanding of both long-term trends and year-to-year changes in drug prevalence. These findings demonstrate the potential value of using ME data as source of drug test information for crash deaths in the United States.

Indexed as

Coroners and Medical ExaminersPharmaceutical PreparationsAccidents, TrafficHumansMarylandPrevalenceReproducibility of ResultsUnited StatesPharmaceutical PreparationsCrash deathsDrug positiveFARSMedical examinerToxicology

Identifiers

PMID33714054
PMCPMC8375081
OpenAlexW3134634205

What OpenQuestion holds

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Registered trials

None linked

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.