Evidence map›Paper›PMID 22929794›Full record

ArticleJournal of occupational and environmental medicine2012

Incidence and cost of depression after occupational injury.

Abay Asfaw, Kerry Souza

Abstract read
In one paragraph

Article in Journal of occupational and environmental medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 8% 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

  1. Workplace Injury Compensation and Mental Health and Self-Harm Outcomes: A Systematic Review.New solutions : a journal of environmental and occupational health policy : NS · 2024
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  16. Suicide and drug-related mortality following occupational injury.American journal of industrial medicine · 2019
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  19. Gender Differences in the Longitudinal Association between Work-Related Injury and Depression.International journal of environmental research and public health · 2016
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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

2 authors at 1 institution in 1 country.

Abay AsfawOffice of the Director, Centers for Disease Control and Prevention-National Institute for Occupational Safety and Health, Washington, DC 20201, USA. hqp0@cdc.gov
Kerry Souza
Centers for Disease Control and Prevention · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

objectivesWe examined if injured workers were more likely than noninjured workers to be treated for depression after an occupational injury and estimated the cost paid by group medical insurance.

methodNearly 367,900 injured and noninjured workers were drawn from the 2005 Thomson Reuters MarketScan data. Descriptive, logistic, and two-part model regression analyses were used.

resultsThe odds of injured workers being treated for depression within the study period were 45% higher than those of noninjured workers (95% confidence interval, 1.17-1.78). The unconditional average cost of outpatient depression treatment was 63% higher for injured workers than for noninjured workers.

conclusionsInjured workers were more likely than noninjured workers to suffer from depression during the study period. Consequently, additional costs are incurred for treating injured workers' depression; these costs were not covered by the workers' compensation system.

Indexed as

Accidents, OccupationalAdultAmbulatory CareConfidence IntervalsDatabases, FactualDepressionFemaleHealth Benefit Plans, EmployeeHumansLogistic ModelsMaleMiddle AgedOdds RatioUnited States

Identifiers

PMID22929794
PMCPMC4570484
OpenAlexW2060136874

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.