Alex Collie1,2, Pamela M Simpson2, Peter A Cameron2,3, Shanthi Ameratunga4, Jennie Ponsford5,6, Ronan A Lyons2,7, Sandra Braaf2, Andrew Nunn8, James E Harrison9, Belinda J Gabbe2,7. 1. Insurance Work and Health Group, Faculty of Medicine Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia. 2. School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia. 3. Emergency and Trauma Centre, The Alfred, Melbourne, Victoria, Australia. 4. Section of Epidemiology and Biostatistics, School of Population Health, University of Auckland, Auckland, New Zealand. 5. Monash-Epworth Rehabilitation Research Centre, Melbourne, Victoria, Australia. 6. School of Psychological Sciences, Monash University, Melbourne, Victoria, Australia. 7. Farr Institute, Swansea University Medical School, Swansea University, Swansea, United Kingdom. 8. Victorian Spinal Cord Service, Austin Health, Heidelberg, Victoria, Australia. 9. Research Centre for Injury Studies, Flinders University, Adelaide, South Australia, Australia.
Abstract
OBJECTIVE: To characterize patterns of engagement in work during the 4-year period after major traumatic injury, and to identify factors associated with those patterns. BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
OBJECTIVE: To characterize patterns of engagement in work during the 4-year period after major traumatic injury, and to identify factors associated with those patterns. BACKGROUND: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.
Authors: Jo Steinson Stenehjem; Olav Røise; Trond Nordseth; Thomas Clausen; Bård Natvig; Svetlana O Skurtveit; Torsten Eken; Thomas Kristiansen; Jon Michael Gran; Leiv Arne Rosseland Journal: BMJ Open Date: 2021-05-18 Impact factor: 2.692
Authors: Christopher Papic; Annette Kifley; Ashley Craig; Genevieve Grant; Alex Collie; Ilaria Pozzato; Belinda Gabbe; Sarah Derrett; Trudy Rebbeck; Jagnoor Jagnoor; Ian D Cameron Journal: BMC Public Health Date: 2022-08-05 Impact factor: 4.135
Authors: Leonie de Munter; A J L M Geraerds; Mariska A C de Jongh; Marjolein van der Vlegel; Ewout W Steyerberg; Juanita A Haagsma; Suzanne Polinder Journal: PLoS One Date: 2020-03-25 Impact factor: 3.240