Evidence map›Paper›PMID 27460477›Full record

ArticleJournal of occupational rehabilitation2017

The Relationship Between Work-Disability Duration and Claimant's Expected Time to Return to Work as Recorded by Workers' Compensation Claims Managers.

Amanda E Young, Elyssa Besen, Joanna Willetts

Abstract read
In one paragraph

Article in Journal of occupational rehabilitation, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

3 authors.

Amanda E YoungCenter for Disability Research, Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA. amandae.young@libertymutual.com.
Elyssa BesenCenter for Disability Research, Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA.
Joanna WillettsCenter for Disability Research, Liberty Mutual Research Institute for Safety, 71 Frankland Road, Hopkinton, MA, 01748, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose This research sought to determine whether there is a relationship between claimants' expected time to return to work (RTW) as recorded by claims managers and compensated days of work disability. Methods We utilized workers' compensation data from a large, United States-based insurance company. RTW expectations were collected within 30 days of the claim being reported and these were compared with the termination of total temporary indemnity payments. Bivariate and hierarchical regression analyses were conducted. Results A significant relationship between expected time to RTW and compensated disability duration was observed. The unadjusted correlation between work-disability duration and expected time to RTW was .25 (p < .001). Our multivariate model explained 29.8 % of the variance, with expected time to RTW explaining an additional 9.5 % of the variance in work-disability duration beyond what was explained by the covariates. Conclusion The current study's findings support the hypothesis that claimant RTW estimates as recorded by claims managers are significantly related to compensated-disability duration, and the relationship is maintained after controlling for variance that can be explained by other variables available within workers' compensation databases.

Indexed as

Disability EvaluationAdultFemaleHumansInsurance CarriersMaleMiddle AgedOccupational InjuriesReturn to WorkRisk FactorsTime FactorsUnited StatesWorkers' CompensationDisability managementPrognostic factorsRecovery expectationsReturn-to-workWork-disability preventionWorkers’ compensation

Identifiers

PMID27460477
PMCPMC5405108

What OpenQuestion holds

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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.