Evidence map›Paper›PMID 23595309›Full record

SynthesisJournal of occupational rehabilitation2014

How well do we report on compensation systems in studies of return to work: a systematic review.

Fiona J Clay, Janneke Berecki-Gisolf, Alex Collie

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of occupational rehabilitation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
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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

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

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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.

Fiona J ClayInstitute for Safety Compensation and Recovery Research, Monash University, Level 11, 499 St Kilda Road, Melbourne, VIC, 3004, Australia.
Janneke Berecki-Gisolf
Alex Collie

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeOccupational injury and work-related disability is a significant public health problem. For published research to provide a collective knowledge base for return to work (RTW) policy and practice, features of the compensation system relevant to the research must be described clearly. The level of the reporting on compensation system features is yet to be established. The aim of the present study was to synthesize the evidence for the reporting on compensation systems in prognostic studies of RTW following work-related injuries.

methodsA systematic review of the literature was conducted. Ovid Medline and EMBASE were searched for studies published 1996-2011. Included studies were prognostic studies of RTW or work disability following work-related acute traumatic injuries.

resultsThe initial search yielded 952 articles; 37 articles fulfilled the inclusion criteria. The majority of studies were based on clinical practice; eight studies were based on administrative data. Only two studies reported seven or more compensation features and two studies reported four to six. The majority of studies (19/37) did not report on any aspect of the compensation system that study participants were interacting with. The most common information reported was the extent of coverage at the population level (7/37) and the availability of wage replacement entitlements (7/37). The name of the compensation system was provided in 5 studies.

conclusionsOverall reporting on compensation systems in prognostic studies of RTW needs to be improved if research evidence is to inform policy and practice. Compensation system features that could be reported are provided.

Indexed as

DocumentationAge FactorsHumansInsurance Claim ReviewOccupational InjuriesPersons with DisabilitiesReturn to WorkSick LeaveWorkWorkers' Compensation

Identifiers

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.