| Literature DB >> 28401441 |
Lene Aasdahl1,2, Kristine Pape3, Ottar Vasseljen3, Roar Johnsen3, Sigmund Gismervik3,4, Vidar Halsteinli3,5, Nils Fleten6, Claus Vinther Nielsen7, Marius Steiro Fimland3,4,8.
Abstract
Purpose To assess effects of an inpatient multicomponent occupational rehabilitation program compared to less comprehensive outpatient rehabilitation on sickness absence in persons with musculoskeletal- or mental health disorders. Methods Randomized clinical trial with parallel groups. Participants were individuals 18-60 years old on sick-leave for 2-12 months with a sick-leave diagnosis within the musculoskeletal, psychological or general and unspecified chapters of ICPC-2, identified in a national register. The inpatient program (4 + 4 days) consisted of Acceptance and Commitment Therapy (ACT), physical training and work-related problem-solving including creating a return to work plan and a workplace visit if considered relevant. The outpatient program consisted primarily of ACT (6 sessions during 6 weeks). Both programs were group based. Primary outcome was cumulated number of sickness absence days at 6 and 12 months follow-up. Secondary outcome was time until sustainable return to work. Results 168 individuals were randomized to the inpatient program (n = 92) or the outpatient program (n = 76). We found no statistically significant difference between the programs in median number of sickness absence days at 6 and 12 months follow-up. In the outpatient program 57% of the participants achieved sustainable return to work (median time 7 months), in the inpatient program 49% (log rank, p = 0.167). The hazard ratio for sustainable return to work was 0.74 (95% CI 0.48-1.32, p = 0.165), in favor of the outpatient program. Conclusions This study provided no support that the more comprehensive 4 + 4 days inpatient multicomponent occupational rehabilitation program reduced sickness absence compared to the outpatient rehabilitation program.Entities:
Keywords: Cognitive therapy; Mental health; Musculoskeletal diseases; Return to work; Sick leave
Mesh:
Year: 2018 PMID: 28401441 PMCID: PMC5820389 DOI: 10.1007/s10926-017-9708-z
Source DB: PubMed Journal: J Occup Rehabil ISSN: 1053-0487
Fig. 1Participant flow through the study
Baseline characteristics of participants
| Inpatient program (n = 92) | Outpatient program (n = 76) | |
|---|---|---|
| Age mean (SD) | 45.0 (8.7) | 45.1 (9.6) |
| Women n (%) | 71 (77%) | 62 (82%) |
| Higher education n (%)a | 45 (49%) | 31 (41%) |
| Work status n (%) | ||
| No work | 15 (16%) | 7 (9%) |
| Full time | 57 (62%) | 52 (68%) |
| Part time | 15 (16%) | 16 (21%) |
| Graded disability pensionb | 5 (5%) | 1 (1%) |
| Sick-leave status n (%)c | ||
| Full sick-leave | 41 (45%) | 35 (46%) |
| Partial sick-leave | 45 (49%) | 36 (47%) |
| Work assessment allowance | 6 (7%) | 5 (7%) |
| HADS mean (SD) | ||
| Anxiety (0–21) | 7.8 (4.4) | 7.4 (4.3) |
| Depression (0–21) | 6.7 (4.3) | 6.0 (4.1) |
| Pain level mean (SD) | ||
| Average pain (0–10) | 4.7 (2.3) | 4.6 (2.0) |
| Main diagnoses for sick-leave (ICPC-2) n (%)c | ||
| A—general and unspecified | 9 (10%) | 7 (9%) |
| L—musculoskeletal | 48 (52%) | 40 (53%) |
| P—psychological | 35 (38%) | 29 (38%) |
| Length of sick leave at inclusionc,d | ||
| Median days (IQR) | 224 (189–262) | 229 (187–275) |
aHigher (tertiary) education: college or university
bIndividuals working part time that at inclusion also received a graded disability pension
cBased on data from the National Social Security System Registry
dNumber of days on sick leave during the last 12 months prior to inclusion. Measured as calendar days, not adjusted for partial sick- leave
Fig. 2Cumulative number of days (median) on medical benefits for the inpatient- and the outpatient program during 12 months of follow-up. Adjusted for employment fraction and transformed to whole workdays according to a 5-day work week
Fig. 3Survival curves from the Kaplan Meier analysis showing time to sustainable return to work (i.e. 1 month not receiving medical benefits) for the inpatient- and the outpatient program
Fig. 4Estimated probabilities of not receiving benefits at each month during 12 months of follow-up. Results from a repeated events analysis using logistic general estimating equations (GEE)