| Literature DB >> 25319539 |
Lisbeth Kvam1, Kjersti Vik, Arne Henning Eide.
Abstract
INTRODUCTION: The complexity of the process and outcome of vocational rehabilitation yearns for a multifaceted approach. This article investigates whether importance of participation in major life areas for men and women predicts the outcome of vocational rehabilitation.Entities:
Mesh:
Year: 2015 PMID: 25319539 PMCID: PMC4436658 DOI: 10.1007/s10926-014-9545-2
Source DB: PubMed Journal: J Occup Rehabil ISSN: 1053-0487
Characteristics of study participants (N = 270 at baseline)
|
| % | |
|---|---|---|
| Women | ||
| T1 | 191 | 70.7 |
| T2 | 103 | 73.6 |
| T3 | 138 | 73.8 |
| Men | ||
| T1 | 79 | 29.3 |
| T2 | 37 | 26.4 |
| T3 | 49 | 26.2 |
| Employed at T1 | 166 | 61.5 |
| Men employed <100 % | 17 | 33.3 |
| Women employed <100 % | 69 | 60.0 |
| Sick leave 100 % at T1 | 219 | 81.2 |
| Men | 64 | 83.3 |
| Women | 155 | 80.3 |
| Sick leave <100 % at T1 | 27 | 10.0 |
| Men | 7 | 16.7 |
| Women | 20 | 19.7 |
| Full RTW at T3 | 9 | 3.3 |
| Men | 9 | 9.9 |
| Women | 0 | 0.0 |
| Partly RTW at T3 | 62 | 33.0 |
| Men | 16 | 20.3 |
| Women | 46 | 24.1 |
| Full work assessment allowance at T3 | 73 | 27.0 |
| Men | 19 | 10.2 |
| Women | 54 | 28.9 |
| Full disability pension at T3 | 29 | 10.7 |
| Men | 7 | 3.7 |
| Women | 22 | 11.8 |
Correlations between the items in the outcome variable and the independent variables at T1 and T2 using Pearson’s correlation
| Work 100 % | Work <100 % | WAA 100 % | Disability pension 100 % | |
|---|---|---|---|---|
| Age | −.009 | .040 | −.212*** | .258*** |
| Number of children | .019 | .099 | −.150** | .033 |
| T1 overall health | −.055 | −.153* | .168** | .161** |
| T2 overall health | −.117 | −.170* | .180** | .152* |
| IPW T1 | .138** | .290*** | −.096 | −.376*** |
| IPW T2 | .189** | .239*** | −.090 | −.319*** |
| IPF T1 | .019 | −.045 | .055 | .079 |
| IPF T2 | .084 | −.105 | −.085 | .173** |
| IPL T1 | −.191*** | .168** | −.084 | .101* |
| IPL T2 | −.050 | −.064 | −.032 | .132* |
*** p < .001, ** p < .050, * p < .10
Bivariate multinominal logistic regression of baseline importance of participation variables predicting full RTW (N = 9) versus full benefit (N = 99) and partly RTW (N = 62) versus full benefit 6–12 months subsequent to vocational rehabilitation
| OR | (95 % CI) | |
|---|---|---|
| Full RTW versus full benefit | ||
| IPW | 2.48 | (1.34–4.60)* |
| IPF | 1.42 | (0.60–3.37) |
| IPL | 0.43 | (0.25–0.74)* |
| Gender | 0.09 | (0.02–0.48)* |
| Number of children | 1.29 | (0.70–2.35) |
| Age | 0.99 | (0.93–1.06) |
| Overall health | 0.42 | (0.17–1.08) |
| Partly RTW versus full benefit | ||
| IPW | 1.44 | (1.20–1.73)* |
| IPF | 0.79 | (0.57–1.11) |
| IPL | 1.04 | (0.82–1.31) |
| Gender | 0.95 | (0.45–1.97) |
| Number of children | 0.20 | (0.91–1.55) |
| Age | 1.00 | (0.97–1.03) |
| Overall health | 0.54 | (0.36–0.83)* |
Unadjusted odds ratios (OR) and 95 % confidence intervals are shown
The variable gender; women were reference category
The variable age was continuous ranging from 21 to 64
* p < .05
Multivariat multinominal logistic regression (full factorial) of baseline variables predicting full RTW (N = 9) versus full benefit (N = 99) and partly RTW (N = 62) versus full benefit 6–12 months subsequent to vocational rehabilitation
| OR | 95 % CI | |
|---|---|---|
| Full RTW versus full benefit | ||
| IPW | 3.69 | (1.10–12.56)* |
| IPF | 3.95 | (0.44–35.57) |
| IPL | 0.16 | (0.03–0.98)* |
| Gender | 0.01 | (5.699E −005–0.51)* |
| Number of children | 3.63 | (0.93–14.23) |
| Age | 0.87 | (0.68–1.12) |
| Overall health | 0.21 | (0.04–1.28) |
| Partly RTW versus full benefit | ||
| IPW | 1.42 | (1.16–1.73)* |
| IPF | 0.67 | (0.45–1.00)* |
| IPL | 1.04 | (0.81–1.34) |
| Gender | 0.88 | (0.35–2.23) |
| Number of children | 1.44 | (1.04–2.00)* |
| Age | 1.00 | (0.96–1.05) |
| Overall health | 0.61 | (0.36–1.04) |
R2 = .38 (Cox & Snell), .42 (Nagelkerke). Model χ2 (58.746), p < .001
The variable gender; women were reference category
The variable age was continuous ranging from 21 to 64
Adjusted odds ratios (OR) and 95 % confidence intervals are shown
* p < .05