Evidence map›Paper›PMID 28167421›Full record

ArticleAccident; analysis and prevention2017

Self-reported vs state-recorded motor vehicle collisions among older community dwelling individuals.

B A Singletary, A N Do, J P Donnelly, C Huisingh, M T Mefford, R Modi, F L Mondesir, Y Ye, C Owsley, G McGwin

Open access · greenAbstract readComparative Study
In one paragraph

Article in Accident; analysis and prevention, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 5% 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, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

B A SingletaryDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
A N DoDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
J P DonnellyDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
C HuisinghDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA; Department of Ophthalmology, School of Medicine/Eye Foundation Hospital, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
M T MeffordDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
R ModiDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
F L MondesirDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
Y YeDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
C OwsleyDepartment of Ophthalmology, School of Medicine/Eye Foundation Hospital, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA.
G McGwinDepartment of Epidemiology, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA; Department of Ophthalmology, School of Medicine/Eye Foundation Hospital, University of Alabama at Birmingham, Birmingham, AL 35294-0009, USA. Electronic address: gmcgwin@uabmc.edu.
University of Alabama at Birmingham · USUniversity of Alabama at Birmingham Hospital · US

Funding

Pilot CoreP30AG022838 · NIA · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BALL, KARLENE K · 2003 to 2020
$5.7M
Older Drivers: An Evidence-Basis for Licensure StandardsR01EY018966 · NEI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI OWSLEY, CYNTHIA · 2008 to 2018
$5.7M
NEI NIH HHS R01 EY018966NIA NIH HHS P30 AG022838
6 · The paper itself

Abstract

introductionMotor vehicle collisions (MVCs) continue to place an increased burden on both individuals and health care systems. Self-reported and state-recorded police reports are the most common methods for MVC evaluation in epidemiologic studies, with varying degrees of agreement of information when compared in previous studies. The objective of the current study is to address the differences in MVC reporting and provide a more robust measure of the agreement between self-reported and state-recorded MVCs in a community dwelling population of older adults.

methodsA three-year prospective study was conducted in a population-based sample of 2000 licensed drivers aged 70 and older. At annual visits, participants were asked to self-report information on any MVC that occurred over the prior year where police were called to the scene. Information on police-reported MVCs was also ascertained from Alabama official state-recorded databases. The kappa coefficient was calculated to determine overall agreement between any self-reported and state-recorded crashes, as well as the raw number of crashes reported. In addition, agreement was stratified by demographics, health status, medication use, functional status (i.e. vision, cognition), and driving habits.

results1747 participants who completed three years of follow up were involved in 225 state-recorded MVCs and 208 self-reported MVCs yielding overall substantial agreement between any self-report and state-recorded MVC (kappa=0.64). Cumulative number of self-reported and state-recorded MVCs was also compared, with agreement slightly reduced (kappa=0.55). The clinical characteristic resulting in the greatest variation in agreement with drivers was impaired contrast sensitivity showing better agreement between self-reported and state-recorded MVCs (kappa=0.9) than those with non-impaired contrast sensitivity (kappa=0.6).

conclusionStudy results showed substantial agreement between self-reported and state-recorded MVCs for any MVC involvement among the study population. When examining the reporting of the total number of MVCs over the three year period, agreement was reduced to a moderate level. There was consistency in agreement across MVC risk factors except among individuals with contrast sensitivity. These findings have implications for the design and analytic planning of epidemiologic and clinical research focused on MVCs.

Indexed as

Law EnforcementSelf ReportAccidents, TrafficAgedAged, 80 and overAge FactorsAlabamaAutomobile DrivingContrast SensitivityFemaleHumansIndependent LivingMaleProspective StudiesReproducibility of ResultsRisk FactorsAgreementMotor vehicle collisionsSelf-reportState-recorded

Identifiers

PMID28167421
PMCPMC5347974
OpenAlexW2584827837

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.