| Literature DB >> 27618120 |
Monika Schwarze1, Christoph Egen2, Christoph Gutenbrunner3, Stephanie Schriek4.
Abstract
Health promotion is becoming increasingly important in work life. Healthcare workers seem to be at special risk, experiencing musculoskeletal disorders (MSD); their situation is strongly influenced by demographic changes. The aim of this study is to evaluate the feasibility and outcome of a worksite intervention. In a one-group pretest-posttest design, 118 employees of a hospital were recruited from 2010 to 2011. The raised parameters were satisfaction with the program, work ability (Work Ability Index), and sickness absence (provided by human resource management). Patient-reported questionnaire data was raised at baseline (t1) and after three months (t2). Sickness leave was evaluated in the period six months prior to and six months after the intervention. Means, frequencies, standardized effect sizes (SES), analysis of variance, and regression analysis were carried out. Participants were found to be highly satisfied. Work ability increased with moderate effects (SES = 0.34; p < 0.001) and prognosis of gainful employment (SES = -0.19; p ≤ 0.047) with small effects. Days of MSD-related sickness absence were reduced by 38.5% after six months. The worksite intervention program is transferable to a hospital setting and integration in occupational health management is recommended. The use of a control group is necessary to demonstrate the effectiveness.Entities:
Keywords: musculoskeletal disorders; occupational health; sickness absence; work ability; worksite rehabilitation and prevention
Year: 2016 PMID: 27618120 PMCID: PMC5041065 DOI: 10.3390/healthcare4030064
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Figure 1Study group: participation and dropout.
Sample characteristics at t1, n = 116.
| Variables | |
|---|---|
| Female | 70 (60.3) |
| Men | 46 (39.7) |
| Average (years, SD) | 47 8.3 |
| Groups (years) | |
| <46 | 46 (39.7) |
| 46–50 | 25 (29.0) |
| >50 | 41 (35.3) |
| Range (years max–min) | 63–20 |
| Blue-collar workers (logistics, transport, kitchen, laundry) | 69 (59.5) |
| White-collar workers (funding, finance, patient-accounting office) | 47 (40.5) |
| Shift work | 26 (22.8) |
| Display screen work | 51 (44.7) |
| Physically demanding work (high load) | 34 (29.8) |
| Time pressure (high load) | 37 (32.5) |
| Excellent (44–49) | 8 (8.5) |
| Good (37–43) | 30 (31.9) |
| Moderate (28–36) | 45 (47.9) |
| Poor (7–27) | 11 (11.7) |
| No risk | 49 (50.5) |
| Low risk | 26 (26,8) |
| Strong risk | 19 (19.6) |
| Very strong risk | 3 (3.1) |
| 13.0 |
Figure 2Prevalence of the WAI categories before and after worksite program (n = 94).
Figure 3WAI (n = 94), SPE-scale (n = 97) and working conditions (n = 97); Standardized effect sizes (SES).