Clinical utility of predictors of return-to-work outcome following work-related musculoskeletal injury.
Introduction Clinical 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 fol...
| Published in: | Journal of Occupational Rehabilitation Vol. 18; no. 2; pp. 190 - 207 |
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| Main Authors: | , , , |
| Format: | research systematic review tables/charts Journal Article |
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Springer Nature
Jun2008
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=105766381&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 105766381 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10530487 JOR jtl: Journal of Occupational Rehabilitation issn: 10530487 maglogo: N pubinfo: dt: Jun2008 vid: 18 iid: 2 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 105766381 105766381 2009923275 10.1007/s10926-007-9113-0 NLM18049879 105766381 ppf: 190 ppct: 17 formats: fmt: @attributes: type: P tig: atl: Clinical utility of predictors of return-to-work outcome following work-related musculoskeletal injury. aug: au: Muenchberger H Kendall E Grimbeek P Gee T affil: Research 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. sug: subj: Job Re-Entry Musculoskeletal Diseases Prognosis Occupational-Related Injuries CINAHL Database Clinical Competence Data Analysis Software Delphi Technique Descriptive Statistics Interrater Reliability kappa Statistic Medical Practice, Evidence-Based Medline PubMed Human ab: Introduction Clinical 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. Methods Following 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. Results Predictors 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. Conclusion In 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. pubtype: Academic Journal doctype: research systematic review tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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