Evidence map›Paper›PMID 31742763›Full record

ArticleAmerican journal of industrial medicine2020

Workers' compensation claims for traumatic brain injuries among private employers-Ohio, 2001-2011.

Srinivas Konda, Ibraheem S Al-Tarawneh, Audrey A Reichard, Hope M Tiesman, Steven J Wurzelbacher, Lynne E Pinkerton, Alysha R Meyers, Scott A Hendricks, Chih-Yu Tseng, Michael P Lampl and 1 more

Open access · greenAbstract read
In one paragraph

Article in American journal of industrial medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

11 authors at 2 institutions in 1 country.

Srinivas KondaDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia.ORCID 0000-0002-8934-4111
Ibraheem S Al-TarawnehDivision of Safety and Hygiene, Ohio Bureau of Workers' Compensation, Pickerington, Ohio.
Audrey A ReichardDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia.ORCID 0000-0002-5260-1241
Hope M TiesmanDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia.
Steven J WurzelbacherDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio.
Lynne E PinkertonDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio.ORCID 0000-0002-8669-487X
Alysha R MeyersDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio.
Scott A HendricksDivision of Safety Research, National Institute for Occupational Safety and Health, Morgantown, West Virginia.
Chih-Yu TsengDivision of Field Studies and Engineering, National Institute for Occupational Safety and Health, Cincinnati, Ohio.
Michael P LamplDivision of Safety and Hygiene, Ohio Bureau of Workers' Compensation, Pickerington, Ohio.
David C RobinsDivision of Safety and Hygiene, Ohio Bureau of Workers' Compensation, Pickerington, Ohio.
National Institute for Occupational Safety and Health · USOhio Department of Health · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

backgroundThe purpose of this analysis was to identify and prioritize high-risk industry groups for traumatic brain injury (TBI) prevention efforts.

methodsWorkers with TBI from 2001 to 2011 were identified from the Ohio Bureau of Workers' Compensation data. To prioritize industry groups by claim type (lost-time (≥8 days away from work) and total claims) and injury event categories, we used a prevention index (PI) that averaged TBI counts and rate ranks (PI = (count rank + rate rank)/2). TBI rates per 10 000 estimated full-time equivalent (FTE = 2000 h/y) workers were calculated.

resultsFrom 2001 to 2011, 12 891 TBIs were identified among private employers, resulting in a rate of 5.1 TBIs per 10 000 FTEs. Of these, 40% (n = 5171) were lost-time TBIs, at a rate of 2.0 per 10 000 FTEs. Spectator Sports had the highest lost-time TBI rate (13.5 per 10 000 FTEs), whereas General Freight Trucking had the greatest number of lost-time TBIs (n = 293). Based on PIs, General Freight Trucking ranked first for lost-time TBIs for all injury events combined. Several industry groups within Construction, General and Specialized Freight Trucking, Services to Building and Dwellings, Employment Services, and Restaurants and Other Eating Places ranked high across multiple injury event categories for lost-time TBIs.

conclusionsThe high-ranking industry groups identified from our study can be used to effectively direct occupational TBI prevention efforts.

Indexed as

Abbreviated Injury ScaleAdolescentAdultAgedBrain Injuries, TraumaticFemaleHumansMaleMiddle AgedOccupational InjuriesOhioPrivate SectorWorkers' Compensationbrain injuryconstructionlost-timemedical-onlyprevention indextruckingworkers’ compensation

Identifiers

PMID31742763
PMCPMC10088096
OpenAlexW2990264540

What OpenQuestion holds

Textmetadata
LicenceTDM
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.