| Literature DB >> 30846964 |
Frederik Lehman Dornonville de la Cour1,2, Morten Arendt Rasmussen3, Eva Meldal Foged1, Line Svenning Jensen1, Trine Schow1.
Abstract
Persisting post-concussive symptoms are challenging to treat and may delay return-to-work (RTW). The aims of this study were to describe a multidisciplinary and holistic vocational rehabilitation (VR) program for individuals with mild traumatic brain injury (mTBI) and to explore course and predictors of employment outcome during VR. The VR program was described using the Standard Operating Procedures (SOPs) framework. Further, a retrospective, cohort study on individuals with mTBI receiving VR was conducted based on clinical records (n = 32; 22% males; mean age 43.2 years; 1.2 years since injury on average). The primary outcome was difference in hours at work per week from pre- to post-VR, and the secondary outcome was change in a three-level RTW-status. Time since injury, age, sex, and loss of consciousness were investigated as predictors of the outcomes. The VR intervention is individually tailored and targets patients' individual needs. Thus, it may combine a variety of methods based on a biopsychosocial theoretical model. During VR, hours at work, 17.0 ± 2.2, p < 0.001, and RTW-status, OR = 14.0, p < 0.001, improved significantly with 97% having returned to work after VR. Shorter length of time since injury and male sex were identified as predictors of a greater gain of working hours. Time since injury was the strongest predictor; double the time was associated with a reduction in effect by 4.2 ± 1.4 h after adjusting for working hours at start of VR. In sum, these results suggest that individuals facing persistent problems following mTBI may still improve employment outcomes and RTW after receiving this multidisciplinary and holistic VR intervention, even years after injury. While results are preliminary and subject to bias due to the lack of a control group, this study warrants further research into employment outcomes and VR following mTBI, including who may benefit the most from treatment.Entities:
Keywords: concussion; employment; mild traumatic brain injury; multidisciplinary rehabilitation; post-concussive syndrome; return to work; standard operating procedure (SOP); vocational rehabilitation
Year: 2019 PMID: 30846964 PMCID: PMC6393356 DOI: 10.3389/fneur.2019.00103
Source DB: PubMed Journal: Front Neurol ISSN: 1664-2295 Impact factor: 4.003
Characteristics of the cohort.
| Age | 43.2 (11.1) | |
| Male | 7 (22%) | |
| Female | 25 (78%) | |
| 0 ≤ 10 | 3 | |
| 11–13 | 4 | |
| >13 | 25 | |
| Cohabiting | 19 (59%) | |
| Living alone | 9 (28%) | |
| Living with parents | 3 (9%) | |
| Missing data | 1 (3%) | |
| Fall | 11 (34%) | |
| Traffic accident | 11 (34%) | |
| Sports-related/blow to head | 10 (31%) | |
| No | 25 (78%) | |
| Yes | 7 (22%) | |
| Time since injury | 418.66 (531.8) | |
| 195 (237.3) | ||
| Time since injury after VR, days | 785.81 (511.2) | |
| 637.48 (206.5) | ||
| No | 29 (91%) | |
| Yes | 3 (9%) | |
| Duration of VR, days | 367.16 (158.7) | |
| 366 (218) | ||
M, mean; Mdn, median; VR, vocational rehabilitation.
At start of VR.
Employment outcomes at time of injury, at start of VR, and after VR.
| Hours at work per week | 33.7 (10.0) | 10.2 (10.4) | 27.1 (10.8) | |
| 37 (0.5) | 9 (16.5) | 30 (17.5) | ||
| Complete RTW | – | 2 (6%) | 14 (44%) | |
| Partial RTW | – | 18 (56%) | 17 (53%) | |
| No RTW | – | 12 (38%) | 1 (3%) | |
| Full-time (≥30 h) | 29 (91%) | 3 (9%) | 18 (56%) | |
| Part-time (1–29 h) | 1 (3%) | 17 (53%) | 13 (41%) | |
| No work (0 h) | 2 (6%) | 12 (38%) | 1 (3%) | |
| Competitive employment | 30 (94%) | 15 (47%) | 21 (66%) | |
| Supported employment | 0 (0%) | 1 (3%) | 8 (25%) | |
| Sick leave | 0 (0%) | 15 (47%) | 1 (3%) | |
| Other | 2 (6%) | 1 (3%) | 2 (6%) | |
Complete RTW represents working the same (or an increased) amount of hours compared to pre-injury, partial RTW represents working fewer hours compared to pre-injury, and no RTW represents not working any hours per week. VR, vocational rehabilitation; M, mean; Mdn, median; RTW, return-to-work.
Other includes unemployment and non-competitive work/non-payed work trials.
Figure 1Trajectories of hours at work per week. The graph illustrates each participants' amount of working hours per week on the y-axis at the time of injury (pre-injury; T1), at start of VR (pre-VR; T2), and after VR (post-VR; T3). Time points are distributed on the x-axis by the number of days (log2 transformed) from injury to pre-VR and from pre- to post-VR. Colors indicate RTW-status at post-VR. VR, vocational rehabilitation; RTW, return-to-work.
Figure 2Trajectories of return-to-work status. The graph illustrates participants' development in RTW-status from pre- to post-VR. Streams ending at a higher-level color (0 = red/no RTW; 1 = blue/partial RTW; 2 = green/complete RTW) represent improved RTW-status, streams ending at its own color represent stable RTW-status, and streams ending at a lower-level color would represent regressed RTW-status (no cases of this). Complete RTW represents working the same (or an increased) amount of hours compared to pre-injury, partial RTW represents working fewer hours compared to pre-injury, and no RTW represents not working any hours per week. RTW, return-to-work; VR, vocational rehabilitation.
Predictors of difference in hours at work per week from pre- to post-VR.
| Male | 7 | 14–37 | 25.7 (10.2) | 21 ( | 11.2 (5.1) | 0.035 | 0.140 |
| Female | 25 | 0–37 | 14.5 (12.2) | 13 ( | |||
| No | 25 | 0–37 | 16.5 (12.8) | 15 ( | −2.3 (5.4) | 0.682 | 0.006 |
| Yes | 7 | 0–37 | 18.7 (12.7) | 17.5 (15.3) | |||
| Age | 0.01 (0.21) | 0.960 | <0.001 | ||||
| Time since injury | −5.82 (1.40) | <0.001 | 0.364 | ||||
Model parameters were estimated by simple linear regression. Response of the linear models was specified as the difference in hours at work from pre- to post-VR. M, mean; Mdn, median; VR, vocational rehabilitation.
For ordinal regression, this value represents the generalized R.
At start of VR.
Log2 transformed. i.e., the effect estimate reflects the change in hours by doubling of the predictor.