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|Title:||Patterns and Predictors of Return to Work After Major Trauma: A Prospective, Population-based Registry Study.|
|Authors:||Collie, Alex;Simpson, Pamela M;Cameron, Peter A;Ameratunga, Shanthi;Ponsford, Jennie;Lyons, Ronan A;Braaf, Sandra;Nunn, Andrew;Harrison, James E;Gabbe, Belinda J|
|Affiliation:||Insurance Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia|
School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia..
Emergency and Trauma Centre, The Alfred, Melbourne, Victoria, Australia
Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand
Monash-Epworth Rehabilitation Research Centre, Melbourne, Victoria, Australia
School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia
Farr Institute, Swansea University Medical School, Swansea University, Swansea, United Kingdom
Victorian Spinal Cord Service, Austin Health, Heidelberg, Victoria, Australia
Research Centre for Injury Studies, Flinders University, Adelaide, South Australia, Australia
|Citation:||Annals of surgery 2018; online first: 16 January|
|Abstract:||To characterize patterns of engagement in work during the 4-year period after major traumatic injury, and to identify factors associated with those patterns. Employment is an important marker of functional recovery from injury. There are few population-based studies of long-term employment outcomes, and limited data on the patterns of return to work (RTW) after injury. A population-based, prospective cohort study using the Victorian State Trauma Registry. A total of 1086 working age individuals, in paid employment or full-time education before injury, were followed-up through telephone interview at 6, 12, 24, 36, and 48 months post-injury. Responses to RTW questions were used to define 4 discrete patterns: early and sustained; delayed; failed; no RTW. Predictors of RTW patterns were assessed using multivariate multinomial logistic regression. Slightly more than half of respondents (51.6%) recorded early sustained RTW. A further 15.5% had delayed and 13.3% failed RTW. One in 5 (19.7%) did not RTW. Compared with early sustained RTW, predictors of delayed and no RTW included being in a manual occupation and injury in a motor vehicle accident. Older age and receiving compensation predicted both failed and no RTW patterns. Preinjury disability was an additional predictor of failed RTW. Presence of comorbidity was an additional predictor of no RTW. A range of personal, occupational, injury, health, and compensation system factors influence RTW patterns after serious injury. Early identification of people at risk for delayed, failed, or no RTW is needed so that targeted interventions can be delivered.|
|Appears in Collections:||Journal articles|
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