Evidence map›Paper›PMID 27530688›Full record

ArticleOccupational and environmental medicine2017

Health risk factors as predictors of workers' compensation claim occurrence and cost.

Natalie V Schwatka, Adam Atherly, Miranda J Dally, Hai Fang, Claire vS Brockbank, Liliana Tenney, Ron Z Goetzel, Kimberly Jinnett, Roxana Witter, Stephen Reynolds and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Occupational and environmental medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Evaluation of a Total Worker HealthOccupational health science · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

12 authors.

Natalie V SchwatkaDepartment of Environmental and Occupational Health, Center for Health, Work, and Environment and Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA.
Adam AtherlyDepartment of Health Systems, Management & Policy, Colorado School of Public Health, University of Colorado, Aurora, Colorado, USA.
Miranda J DallyDepartment of Environmental and Occupational Health, Center for Health, Work, and Environment and Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA.
Hai FangChina Center for Health Development Studies, Peking University, Beijing, China.
Claire vS BrockbankSegue Consulting, Denver, Colorado, USA.
Liliana TenneyDepartment of Environmental and Occupational Health, Center for Health, Work, and Environment and Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA.
Ron Z GoetzelJohns Hopkins University Bloomberg School of Public Health, Institute for Health and Productivity Studies, and Truven Health Analytics, Bethesda, Maryland, USA.
Kimberly JinnettIntegrated Benefits Institute, San Francisco, California, USA.
Roxana WitterDepartment of Environmental and Occupational Health, Center for Health, Work, and Environment and Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA.
Stephen ReynoldsDepartment of Environmental and Radiological Health Sciences, School of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, Colorado, USA.
James McMillenPinnacol Assurance, Denver, Colorado, USA.
Lee S NewmanDepartment of Environmental and Occupational Health, Center for Health, Work, and Environment and Colorado School of Public Health, University of Colorado Denver, Aurora, Colorado, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe objective of this study was to examine the predictive relationships between employee health risk factors (HRFs) and workers' compensation (WC) claim occurrence and costs.

methodsLogistic regression and generalised linear models were used to estimate the predictive association between HRFs and claim occurrence and cost among a cohort of 16 926 employees from 314 large, medium and small businesses across multiple industries. First, unadjusted (HRFs only) models were estimated, and second, adjusted (HRFs plus demographic and work organisation variables) were estimated.

resultsUnadjusted models demonstrated that several HRFs were predictive of WC claim occurrence and cost. After adjusting for demographic and work organisation differences between employees, many of the relationships previously established did not achieve statistical significance. Stress was the only HRF to display a consistent relationship with claim occurrence, though the type of stress mattered. Stress at work was marginally predictive of a higher odds of incurring a WC claim (p<0.10). Stress at home and stress over finances were predictive of higher and lower costs of claims, respectively (p<0.05).

conclusionsThe unadjusted model results indicate that HRFs are predictive of future WC claims. However, the disparate findings between unadjusted and adjusted models indicate that future research is needed to examine the multilevel relationship between employee demographics, organisational factors, HRFs and WC claims.

Indexed as

AdolescentAdultAgedFemaleHumansIndustryInsurance Claim ReportingLogistic ModelsMaleMiddle AgedOccupational HealthOccupational InjuriesRisk FactorsSmokingUnited StatesWorkers' CompensationHealth risk assessmentOccupational injurySmall businessTotal Worker HealthWorksite wellness

Identifiers

PMID27530688
PMCPMC5241501

What OpenQuestion holds

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LicenceCC BY-NC
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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.