Evidence map›Paper›PMID 27936362›Full record

ArticleJournal of studies on alcohol and drugs2017

Prevalence of Self-Reported Prescription Drug Use in a National Sample of U.S. Drivers.

Tara Kelley-Baker, Geetha Waehrer, Robin A Pollini

Open access · bronzeAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

7 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
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  6. Pre-Incarceration Rates of Nonmedical Use of Prescription Drugs among Black Men from Urban Counties.Journal of urban health : bulletin of the New York Academy of Medicine · 2018
    Article
  7. 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

3 authors at 2 institutions in 1 country.

Tara Kelley-BakerNORC at the University of Chicago, Bethesda, Maryland.
Geetha WaehrerPacific Institute for Research and Evaluation, Calverton, Maryland.
Robin A PolliniPacific Institute for Research and Evaluation, Calverton, Maryland.
Pacific Institute For Research and Evaluation · USNational Opinion Research Center · US

Funding

Characterizing Prescription Drug Use in a Representative Sample of U.S. DriversR21DA034950 · NIDA · PACIFIC INSTITUTE FOR RES AND EVALUATION · PI KELLEY-BAKER, TARA D, POLLINI, ROBIN A · 2013 to 2014
$422k
NIDA NIH HHS R21 DA034950
6 · The paper itself

Abstract

objectiveDrug-involved driving has become an increasing concern. Although the focus has been on illegal drugs, there is evidence that prescribed medications can impair driving ability. The purpose of this study was to determine the self-reported prevalence of prescription drug use, including medical and nonmedical use, among a nationally representative sample of drivers and to report related driver characteristics.

methodAs part of the 2013-2014 National Roadside Survey, drivers from 60 sites were randomly recruited and asked to complete a survey on prescription drug use.

resultsAlmost 20% of drivers reported using a prescription drug within the past 2 days, with the most common drug class being sedatives (8.0%), followed by antidepressants (7.7%), narcotics (7.5%), and stimulants (3.9%). Drivers who reported prescription drug use were significantly more likely to be female, older, non-Hispanic White, and report disability. Three of four drivers who reported medication use (78.2%) said the drug was prescribed for their use; the odds of using without a prescription were significantly higher for males, Black/African American, and Hispanic drivers, and lower for older drivers. Among those with a prescription, taking more than prescribed was most common for narcotics (6.8%), followed by sedatives (4.8%), stimulants (3.8%), and antidepressants (1.5%).

conclusionsThese findings help to identify drivers using potentially impairing prescription drugs, both medically and nonmedically, and may inform the targeting of interventions to reduce impaired driving related to medications.

Indexed as

AdultAntidepressive AgentsAutomobile DrivingCentral Nervous System StimulantsFemaleHumansHypnotics and SedativesMaleMiddle AgedNarcoticsPrescription Drug MisusePrevalenceSelf ReportSurveys and QuestionnairesUnited StatesYoung AdultAntidepressive AgentsCentral Nervous System StimulantsHypnotics and SedativesNarcotics

Identifiers

PMID27936362
PMCPMC5148747
OpenAlexW2567029504

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.