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Long-term sick leave and the impact of a graded return-to-work program: evidence from Germany

Overview of attention for article published in HEPAC Health Economics in Prevention and Care, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 news outlet
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1 X user
facebook
1 Facebook page

Citations

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26 Dimensions

Readers on

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73 Mendeley
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Title
Long-term sick leave and the impact of a graded return-to-work program: evidence from Germany
Published in
HEPAC Health Economics in Prevention and Care, July 2015
DOI 10.1007/s10198-015-0707-8
Pubmed ID
Authors

Udo Schneider, Roland Linder, Frank Verheyen

Abstract

The implementation of a graded return-to-work (RTW) program to reintegrate the long-term sick started in Germany in 1971 and has been manifested in the Social Code Book V since 1989. Based on a return plan by the physician and the insured, participants increase their working hours slowly over a specified period of time. As participants are still classified as incapable of working they still receive sick leave benefits. Using claims data from the Techniker Krankenkasse, the largest German sickness fund, the study aims at identifying participants and analyzing the full return-to-work and the impact of the RTW program. Thereby, we account for socio-economic factors, insurance-based characteristics, and medical and health-related information. We consider a possible selection bias by using individual weights to analyze determinants of length of the sickness absence by applying models for survival analysis (Cox proportional hazard model). As a main result - depending on the central assumption of unconfoundedness - sickness absence is positively related to participation in the RTW program for those with sickness absence longer than 120 days. For mental disorders, our results indicate an even stronger effect. The study results emphasize the need further promotion of this instrument among those insured, physicians and employers, as occupational health management is one key for a successful return-to-work.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Malaysia 1 1%
Bangladesh 1 1%
Brazil 1 1%
Unknown 70 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 14 19%
Student > Master 8 11%
Student > Ph. D. Student 8 11%
Other 6 8%
Student > Postgraduate 5 7%
Other 15 21%
Unknown 17 23%
Readers by discipline Count As %
Medicine and Dentistry 17 23%
Social Sciences 9 12%
Nursing and Health Professions 8 11%
Psychology 7 10%
Economics, Econometrics and Finance 2 3%
Other 8 11%
Unknown 22 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2016.
All research outputs
#3,621,328
of 25,371,288 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#225
of 1,303 outputs
Outputs of similar age
#42,344
of 258,627 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#4
of 22 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 258,627 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.