Evidence map›Paper›PMID 31820220›Full record

Observational studyJournal of occupational rehabilitation2020

The Association Between Fault Attribution and Work Participation After Road Traffic Injury: A Registry-Based Observational Study.

Georgina Lau, Belinda J Gabbe, Alex Collie, Jennie Ponsford, Shanthi Ameratunga, Peter A Cameron, James E Harrison, Melita J Giummarra

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Journal of occupational rehabilitation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  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

8 authors at 6 institutions in 3 countries.

Georgina LauDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
Belinda J GabbeDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
Alex CollieDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
Jennie PonsfordSchool of Psychological Sciences, Monash University, Clayton, VIC, Australia.
Shanthi AmeratungaSchool of Population Health, University of Auckland, Auckland, New Zealand.
Peter A CameronDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia.
James E HarrisonResearch Centre for Injury Studies, Flinders University, Adelaide, SA, Australia.
Melita J GiummarraDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC, 3004, Australia. melita.giummarra@monash.edu.ORCID 0000-0001-7839-6058
Monash University · AUCaulfield Hospital · AUEpworth Hospital · AUFlinders University · AUSwansea University · GBUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose To characterise associations between fault attribution and work participation and capacity after road traffic injury. Methods People aged 15-65 years, working pre-injury, without serious brain injury, who survived to 12 months after road traffic injury were included from two Victorian trauma registries (n = 2942). Fault profiles from linked compensation claims were defined as no other at fault, another at fault, denied another at fault, claimed another at fault, and unknown. Claimant reports in the denied and claimed another at fault groups contradicted police reports. Patients reported work capacity (Glasgow outcome scale-extended) and return to work (RTW) at 6, 12 and 24 months post-injury (early and sustained RTW, delayed RTW (≥ 12 months), failed RTW attempts, no RTW attempts). Analyses adjusted for demographic, clinical and injury covariates. Results The risk of not returning to work was higher if another was at fault [adjusted relative risk ratio (aRRR) = 1.67, 95% confidence interval (CI) 1.29, 2.17] or was claimed to be at fault (aRRR = 1.58, 95% CI 1.04, 2.41), and lower for those who denied that another was at fault (aRRR = 0.51, 95% CI 0.29, 0.91), compared to cases with no other at fault. Similarly, people had higher odds of work capacity limitations if another was at fault (12m: AOR = 1.49, 95% CI 1.24, 1.80; 24m: 1.63, 95% CI 1.35, 1.97) or was claimed to be at fault (12m: AOR = 1.54, 95% CI 1.16, 2.05; 24m: AOR = 1.80, 95% CI 1.34, 2.41), and lower odds if they denied another was at fault (6m: AOR = 0.67, 95% CI 0.48, 0.95), compared to cases with no other at fault. Conclusion Targeted interventions are needed to support work participation in people at risk of poor RTW post-injury. While interventions targeting fault and justice-related attributions are currently lacking, these may be beneficial for people who believe that another caused their injury.

Indexed as

Compensation and RedressAccidents, TrafficAdolescentAdultAgedFemaleHumansInjury Severity ScoreMaleMiddle AgedRegistriesReturn to WorkTime FactorsVictoriaWounds and InjuriesYoung AdultAccidentsInjuryRecoveryReturn to workTrafficTrauma

Identifiers

PMID31820220
OpenAlexW2993270601

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.