Evidence map›Paper›PMID 18049879›Full record

ArticleJournal of occupational rehabilitation2008

Clinical utility of predictors of return-to-work outcome following work-related musculoskeletal injury.

Heidi Muenchberger, Elizabeth Kendall, Peter Grimbeek, Travis Gee

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Article in Journal of occupational rehabilitation, 2008. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Factors Associated With Success in an Occupational Rehabilitation Program for Work-Related Musculoskeletal Disorders.The American journal of occupational therapy : official publication of the American Occupational Therapy Association
    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

4 authors.

Heidi MuenchbergerResearch Centre for Clinical and Community Practice Innovation, Griffith University, Centre for National Research on Disability and Rehabilitation Medicine, Brisbane, QLD 4131, Australia. h.muenchberger@griffith.edu.au
Elizabeth Kendall
Peter Grimbeek
Travis Gee

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClinical expertise is one source of evidence that is generally under-utilised in the development of an evidence-base in rehabilitation. The current study aimed to incorporate this valuable clinical expertise in determining the utility of multiple predictors of return-to-work outcome following injury.

methodsFollowing systematic review of the rehabilitation literature and review, a total of 85 predictors were evaluated for clinical relevance by an expert panel of rehabilitation practitioners (n = 12). Each predictor was rated according the importance of the predictor in rehabilitation, its potential for modification and its classification into one of seven broad areas. In addition, practitioners were asked to provide a rationale as to why the predictor was important to rehabilitation. Analyses were conducted using inter-rater agreement statistics and text analysis.

resultsPredictors that were most commonly reviewed in the literature were not considered to be of greatest clinical utility, according to the current sample. From the total predictor set, only nine predictors were identified as clinically useful (i.e., both highly important and highly modifiable). Text analysis of the qualitative data revealed that these nine predictors highlighted the significance of time, context and engagement in rehabilitation practice.

conclusionIn the current study, predictors that were considered most clinically relevant were those that generally described workplace related processes. The findings confirmed the underlying supportive and collaborative processes that integrate predictors and account for their influence on outcome. Future rehabilitation efforts and indeed, individual outcomes, could benefit by incorporating these key predictors in targeted programs.

Indexed as

Accidents, OccupationalDisability EvaluationAdultFemaleHumansMaleMiddle AgedMusculoskeletal SystemOccupational DiseasesWounds and Injuries

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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.