132 lines
4.2 KiB
YAML
132 lines
4.2 KiB
YAML
abstract: 'Purpose To determine the incidence of employed people who try and fail
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to return-to-work (RTW) following a transport crash. To identify
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predictors of RTW failure. Methods: A historical cohort study was
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conducted in the state of Victoria, Australia. People insured through
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the state-based compulsory third party transport accident compensation
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scheme were included. Inclusion criteria included date of crash between
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2003 and 2012 (inclusive), age 15-70years at the time of crash,
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sustained a non-catastrophic injury and received at least 1 day of
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income replacement. A matrix was created from an administrative payments
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dataset that mapped their RTW pattern for each day up to 3 years''
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post-crash. A gap of 7 days of no payment followed by resumption of a
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payment was considered a RTW failure and was flagged. These event flags
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were then entered into a regression analysis to determine the odds of
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having a failed RTW attempt. Results: 17\% of individuals had a RTW
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fail, with males having 20\% lower odds of experiencing RTW failure.
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Those who were younger, had minor injuries (sprains, strains,
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contusions, abrasions, non-limb fractures), or were from more advantaged
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socio-economic group, were less likely to experience a RTW failure. Most
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likely to experience a RTW failure were individuals with whiplash,
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dislocations or particularly those admitted to hospital. Conclusions:
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Understanding the causes and predictors of failed RTW can help insurers,
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employers and health systems identify at-risk individuals. This can
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enable earlier and more targeted support and more effective employment
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outcomes.'
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affiliation: 'Gray, SE (Corresponding Author), Monash Univ, Fac Med Nursing \& Hlth
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Sci, Insurance Work \& Hlth Grp, Melbourne, Vic, Australia.
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Gray, SE (Corresponding Author), Ctr Res Excellence Recovery Following Rd Traff
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In, Herston, Qld, Australia.
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Gray, SE (Corresponding Author), 553 St Kilda Rd, Melbourne, Vic 3004, Australia.
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Gray, Shannon E.; Hassani-Mahmooei, Behrooz; Collie, Alex, Monash Univ, Fac Med
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Nursing \& Hlth Sci, Insurance Work \& Hlth Grp, Melbourne, Vic, Australia.
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Cameron, Ian D., Univ Sydney, Kolling Inst, John Walsh Ctr Rehabil Res, St Leonards,
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NSW, Australia.
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Kendall, Elizabeth, Griffith Univ, Hopkins Ctr, Menzies Hlth Inst Queensland, Meadowbrook,
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Qld, Australia.
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Kenardy, Justin, Univ Queensland, Sch Psychol, St Lucia, Qld, Australia.
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Gray, Shannon E.; Cameron, Ian D.; Kendall, Elizabeth; Kenardy, Justin; Collie,
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Alex, Ctr Res Excellence Recovery Following Rd Traff In, Herston, Qld, Australia.
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Gray, Shannon E., 553 St Kilda Rd, Melbourne, Vic 3004, Australia.'
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author: Gray, Shannon E. and Hassani-Mahmooei, Behrooz and Cameron, Ian D. and Kendall,
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Elizabeth and Kenardy, Justin and Collie, Alex
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author-email: shannon.gray@monash.edu
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author_list:
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- family: Gray
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given: Shannon E.
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- family: Hassani-Mahmooei
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given: Behrooz
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- family: Cameron
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given: Ian D.
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- family: Kendall
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given: Elizabeth
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- family: Kenardy
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given: Justin
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- family: Collie
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given: Alex
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da: '2023-09-28'
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doi: 10.1007/s10926-018-9761-2
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eissn: 1573-3688
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files: []
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issn: 1053-0487
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journal: JOURNAL OF OCCUPATIONAL REHABILITATION
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keywords: Injuries; Return to work; Rehabilitation
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keywords-plus: BRAIN-INJURY; OUTCOMES; DISABILITY; COMPENSATION; SURVIVORS
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language: English
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month: DEC
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number: '4'
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number-of-cited-references: '29'
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orcid-numbers: 'Gray, Shannon/0000-0002-8029-6838
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Hassani-Mahmooei, Behrooz/0000-0002-3616-4715
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Kenardy, Justin A/0000-0001-9475-8450
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Collie, Alex/0000-0003-2617-9339
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Kendall, Elizabeth/0000-0003-2399-1460'
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pages: 740-748
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papis_id: 0fc7953d6e954427024e6b31a1c27328
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ref: Gray2018patternspredictors
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researcherid-numbers: 'Gray, Shannon/GWM-5653-2022
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Gray, Shannon/I-3500-2019
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kendall, elizabeth/F-5065-2013
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Hassani-Mahmooei, Behrooz/U-4317-2019
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Kenardy, Justin A/H-6603-2014
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'
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times-cited: '13'
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title: Patterns and Predictors of Failed and Sustained Return-to-Work in Transport
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Injury Insurance Claimants
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type: Article
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unique-id: WOS:000450856600016
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usage-count-last-180-days: '1'
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usage-count-since-2013: '3'
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volume: '28'
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web-of-science-categories: Rehabilitation; Social Issues
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year: '2018'
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