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Return to work predictors after traumatic brain injury in a welfare state

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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Vis graf over relationer

Objective: To identify predictors of return to work (RTW) and stable labour market attachment (LMA) after severe traumatic brain injury (TBI) in Denmark. Materials & methods: Patients aged 18-64 years, admitted to highly specialized neurorehabilitation after severe TBI 2004-2012 were included and followed up for ≤6 years. Weekly LMA data were retrieved from a national register of public assistance benefits. Weeks without or with supplemental public assistance benefits were defined as LMA weeks. Time of RTW was defined as first week with LMA. Stable LMA was defined as weeks with LMA ≥75% first year after RTW. Multivariable regressions were used to identify predictors of RTW and stable LMA among preinjury characteristics, injury severity, functional ability and rehabilitation trajectories. Results: For the analyses of RTW and stable LMA, 651 and 336 patients were included, respectively. RTW was significantly associated with age (adjusted subhazard ratio 0.98, 95% CI 0.97-0.99), education (1.83, 95% CI 1.16-2.89), supplemental benefits (3.97, 95% CI 2.04-7.71), no benefits (4.86, 95% CI 2.90-8.17), length of stay in acute care (0.77, 95% CI 0.60-0.99) and time period of injury (1.56, 95% CI 1.15-2.10). The only significant predictor of stable LMA was age (adjusted odds ratio 0.97, 95% CI 0.95-0.99). Conclusion: RTW after severe TBI was associated with several socio-economic factors, whereas maintaining LMA depended on age only. We suggest that RTW rates could be improved by extensive rehabilitation targeting people that are older and low-educated, as these were less likely to RTW.

OriginalsprogEngelsk
TidsskriftActa Neurologica Scandinavica
Vol/bind137
Udgave nummer1
Sider (fra-til)44-50
Antal sider7
ISSN0001-6314
DOI
StatusUdgivet - jan. 2018

Bibliografisk note

Publisher Copyright:
© 2017 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd

Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.

ID: 63756379