Evidence map›Paper›PMID 32197540›Full record

ArticleInternational journal of environmental research and public health2020

Characterising the Burden of Work-Related Injuries in South Australia: A 15-Year Data Analysis.

Jianjun Xiang, Murthy Mittinty, Michael Xiaoliang Tong, Dino Pisaniello, Peng Bi

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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, 1 synthesis or guideline pooled it.

  1. Pooled it
  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

5 authors.

Jianjun XiangSchool of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia.
Murthy MittintySchool of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia.
Michael Xiaoliang TongSchool of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia.
Dino PisanielloSchool of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia.
Peng BiSchool of Public Health, The University of Adelaide, Adelaide, SA 5005, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To characterise the burden of work-related injuries in South Australia, workers' compensation claim data were obtained from SafeWork South Australia between 2000 and 2014. Descriptive analyses were performed to investigate the burden of work-related injuries by age, gender, occupation, industry, and nature and mechanism of injury. Dunn's test was used to compare the injury costs and working days lost by industry and occupation. Ordinary linear regression was used to investigate the age-injury cost association. A total of 464,139 workers' compensation claims were reported during the 15-year period in South Australia, with an overall rate of 4.6 claims per 100 employees, resulting in a total of 20,861,001 working days lost and AU$14.9 billion dollars of compensation payment. Between 2000 to 2014, the annual claim rates, compensation payments, working days lost, and number of work-related death reduced by 59.3, 73.8, 87.1, and 78.6 percent, respectively, while the median compensation payment increased by 67.3% from AU$968 to AU$1620. A 1-year increase in age was associated with a 2.1% (Rate Ratio, RR = 1.021, 95% CI: 1.020-1.022) increase in compensation costs and a 1.3% (RR = 1.013, 95% CI: 1.012-1.020) increase in working days lost. Work-related injury rates are declining in most sectors, however some workers, especially young male technicians and labourers in the community services industry, remain at higher risk. Challenges for workers' health and safety include the aging labour force, vehicle incidents, and severe injuries among new and foreign-born workers.

Indexed as

Cost of IllnessOccupational InjuriesData AnalysisHumansMaleOccupationsSouth AustraliaWorkers' Compensationinjury claimoccupational injurySouth Australiaworkers’ compensation

Identifiers

PMID32197540
PMCPMC7142853

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Registered trials

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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.