Evidence map›Paper›PMID 29430592›Full record

ArticleJournal of occupational rehabilitation2018

Patterns and Predictors of Failed and Sustained Return-to-Work in Transport Injury Insurance Claimants.

Shannon E Gray, Behrooz Hassani-Mahmooei, Ian D Cameron, Elizabeth Kendall, Justin Kenardy, Alex Collie

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Article in Journal of occupational rehabilitation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Observational
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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

6 authors.

Shannon E GrayInsurance Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia. shannon.gray@monash.edu.
Behrooz Hassani-MahmooeiInsurance Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia.
Ian D CameronJohn Walsh Centre for Rehabilitation Research, Kolling Institute, University of Sydney, St Leonards, Australia.
Elizabeth KendallThe Hopkins Centre, Menzies Health Institute Queensland, Griffith University, Meadowbrook, Australia.
Justin KenardySchool of Psychology, University of Queensland, St Lucia, Australia.
Alex CollieInsurance Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To determine the incidence of employed people who try and fail to return-to-work (RTW) following a transport crash. To identify predictors of RTW failure.

methodsA historical cohort study was conducted in the state of Victoria, Australia. People insured through the state-based compulsory third party transport accident compensation scheme were included. Inclusion criteria included date of crash between 2003 and 2012 (inclusive), age 15-70 years at the time of crash, sustained a non-catastrophic injury and received at least 1 day of income replacement. A matrix was created from an administrative payments dataset that mapped their RTW pattern for each day up to 3 years' post-crash. A gap of 7 days of no payment followed by resumption of a payment was considered a RTW failure and was flagged. These event flags were then entered into a regression analysis to determine the odds of having a failed RTW attempt.

results17% of individuals had a RTW fail, with males having 20% lower odds of experiencing RTW failure. Those who were younger, had minor injuries (sprains, strains, contusions, abrasions, non-limb fractures), or were from more advantaged socio-economic group, were less likely to experience a RTW failure. Most likely to experience a RTW failure were individuals with whiplash, dislocations or particularly those admitted to hospital.

conclusionsUnderstanding the causes and predictors of failed RTW can help insurers, employers and health systems identify at-risk individuals. This can enable earlier and more targeted support and more effective employment outcomes.

Indexed as

Accidents, TrafficAdolescentAdultAgedAge FactorsFemaleHumansInsuranceMaleMiddle AgedRegression AnalysisReturn to WorkRisk FactorsSex FactorsTransportationVictoriaInjuriesRehabilitationReturn to work

Identifiers

What OpenQuestion holds

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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.