Title |
Return to Work Coordination Programmes for Work Disability: A Meta-Analysis of Randomised Controlled Trials
|
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Published in |
PLOS ONE, November 2012
|
DOI | 10.1371/journal.pone.0049760 |
Pubmed ID | |
Authors |
Stefan Schandelmaier, Shanil Ebrahim, Susan C. A. Burkhardt, Wout E. L. de Boer, Thomas Zumbrunn, Gordon H. Guyatt, Jason W. Busse, Regina Kunz |
Abstract |
The dramatic rise in chronically ill patients on permanent disability benefits threatens the sustainability of social security in high-income countries. Social insurance organizations have started to invest in promising, but costly return to work (RTW) coordination programmes. The benefit, however, remains uncertain. We conducted a systematic review to determine the long-term effectiveness of RTW coordination compared to usual practice in patients at risk for long-term disability. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 3% |
Denmark | 1 | <1% |
Argentina | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 130 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 25 | 18% |
Researcher | 23 | 17% |
Student > Ph. D. Student | 13 | 9% |
Student > Doctoral Student | 10 | 7% |
Professor > Associate Professor | 9 | 7% |
Other | 34 | 25% |
Unknown | 23 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 26 | 19% |
Psychology | 18 | 13% |
Social Sciences | 16 | 12% |
Nursing and Health Professions | 13 | 9% |
Computer Science | 8 | 6% |
Other | 29 | 21% |
Unknown | 27 | 20% |