Predictors of non-return to work 2 years post-injury in road traffic crash survivors: results from the UQ SuPPORT study

Heron-Delaney, Michelle, Warren, Jacelle and Kenardy, Justin A. (2017) Predictors of non-return to work 2 years post-injury in road traffic crash survivors: results from the UQ SuPPORT study. Injury, . doi:10.1016/j.injury.2017.03.012


Author Heron-Delaney, Michelle
Warren, Jacelle
Kenardy, Justin A.
Title Predictors of non-return to work 2 years post-injury in road traffic crash survivors: results from the UQ SuPPORT study
Journal name Injury   Check publisher's open access policy
ISSN 1879-0267
0020-1383
Publication date 2017-04-16
Sub-type Article (original research)
DOI 10.1016/j.injury.2017.03.012
Open Access Status Not yet assessed
Total pages 9
Place of publication London, United Kingdom
Publisher Elsevier
Collection year 2018
Formatted abstract
Purpose: Individuals who have sustained an injury from a road traffic crash (RTC) are at increased risk for long lasting health problems and non-return to work (NRTW). Determining the predictors of NRTW is necessary to develop screening tools to identify at-risk individuals and to provide early targeted intervention for successful return to work (RTW). The aim of this study was to identify factors that can predict which individuals will not RTW following minor or moderate injuries sustained from a RTC.

Method: Participants were 194 claimants (63.4% female) within a common-law "fault-based" system from the UQ SuPPORT cohort who were working prior to their RTC. Participants were assessed at 6 months on a variety of physical and mental health measures and RTW status was determined at 2 years post-RTC. RTW rate was 78.4%.

Results:
Univariate predictors of NRTW included being the driver or passenger, having a prior psychiatric diagnosis, high disability level, low mental or physical quality of life, predicted non-recovery, high pain, low function, high expectations of pain persistency, low expectations about RTW, having a psychiatric diagnosis, elevated depression or anxiety. The final multivariable logistic regression model included only two variables: disability level and expectations about RTW. Seventy-five percent of individuals who will not RTW by 2 years can be identified accurately at an early stage, using only these two predictors.

Conclusion: The results are promising, because they suggest that having information about two factors, which are easily obtainable, can predict with accuracy those who will require additional support to facilitate RTW.
Keyword Health
Mental health
Motor vehicles
Return to work
Traffic accidents
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: HERDC Pre-Audit
School of Psychology Publications
 
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Created: Fri, 07 Apr 2017, 13:44:36 EST by Anthony Yeates on behalf of Learning and Research Services (UQ Library)