Patterns and prediction of return to work after major trauma: a prospective, population-based registry study

Alex Collie, Pamela M. Simpson, Peter A. Cameron, Shanthi Ameratunga, Jennie Ponsford, Ronan Lyons, Sandra Braaf, Andrew Nunn, James Harrison, Belinda J. Gabbe

Research output: Contribution to journalArticleResearchpeer-review

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.

Original languageEnglish
Pages (from-to)972-978
Number of pages7
JournalAnnals of Surgery
Volume269
Issue number5
DOIs
Publication statusPublished - 1 May 2019

Keywords

  • employment
  • injury
  • return to work
  • trauma

Cite this

@article{c81b8ca1e48a4372a39a99298e0f63c1,
title = "Patterns and prediction of return to work after major trauma: a prospective, population-based registry study",
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.",
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author = "Alex Collie and Simpson, {Pamela M.} and Cameron, {Peter A.} and Shanthi Ameratunga and Jennie Ponsford and Ronan Lyons and Sandra Braaf and Andrew Nunn and James Harrison and Gabbe, {Belinda J.}",
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Patterns and prediction of return to work after major trauma : a prospective, population-based registry study. / Collie, Alex; Simpson, Pamela M.; Cameron, Peter A.; Ameratunga, Shanthi; Ponsford, Jennie; Lyons, Ronan; Braaf, Sandra; Nunn, Andrew; Harrison, James; Gabbe, Belinda J.

In: Annals of Surgery, Vol. 269, No. 5, 01.05.2019, p. 972-978.

Research output: Contribution to journalArticleResearchpeer-review

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T1 - Patterns and prediction of return to work after major trauma

T2 - a prospective, population-based registry study

AU - Collie, Alex

AU - Simpson, Pamela M.

AU - Cameron, Peter A.

AU - Ameratunga, Shanthi

AU - Ponsford, Jennie

AU - Lyons, Ronan

AU - Braaf, Sandra

AU - Nunn, Andrew

AU - Harrison, James

AU - Gabbe, Belinda J.

PY - 2019/5/1

Y1 - 2019/5/1

N2 - 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.

AB - 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.

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