Type of Project: Funded project
Description / Topics
The mixed-method-project examines return to work (RTW) processes during the corona pandemic. Particularly, we study RTW processes and quotes of people, who completed a medical or vocational rehabilitation during the pandemic. We investigate, which impact the pandemic had and which factors contributed to that impact. Therefore, national and international literature is reviewed, administrative datasets from the German Pension Insurance are analysed, and qualitative interviews and focus groups with affected persons as well as with rehabilitation professionals and operational actors (like occupational health professionals) are conducted. The findings will be triangulated, discussed with experts, and taken as a basis for recommendations to further develop (crisis-proofen) rehabilitative and occupational RTW strategies, offers and measures.
Start:
1 Oct 2023
End:
31 Mar 2026
Grant Number:
0421/40-64-50-91
ICF Reference of the Project:
- The bio-psycho-social approach of the ICF provides a conceptual frame of reference.
Project Management:
- Schwarz, Betje, Dr. |
- Hetzel, Christian, Dr.
Employees:
- Elling, Mathis, Dr. |
- Sänger, Nadine
Institutions:
Institut für Qualitätssicherung in Prävention und Rehabilitation (iqpr) GmbH
Eupener Straße 70
50933 Köln
022127759912
schwarz@iqpr.de
Projektpartner: Deutsche Rentenversicherung Rheinland
Sänger N, Elling JM, Hetzel C, et al. Return to work for people with chronic health conditions after medical or vocational rehabilitation during the COVID-19 pandemic: a scoping review. BMC Public Health 2025; 25: 3292. doi:10.1186/s12889-025-24769-8.
Elling JM, Sänger N, Schwarz B, et al. Return to Work After Medical Rehabilitation for Musculoskeletal Disorders in Times of the COVID-19 Pandemic: A Retrospective Cohort Study. Arch Phys Med Rehabil 2025. doi:10.1016/j.apmr.2025.04.001.
Elling M, Hetzel C, Streibelt M, et al. Machine Learning to Predict Return to Work After Medical Rehabilitation for Musculoskeletal Disorders: A Retrospective Cohort Study. J Occup Rehabil 2026. doi:10.1007/s10926-025-10359-3.
Elling M, Sänger N, Schwarz B, et al. Rückkehr in Arbeit nach einer beruflichen Rehabilitation in Zeiten der COVID-19-Pandemie: Eine retrospektive Kohortenstudie. Rehabilitation (Stuttg) 2025. doi:10.1055/a-2755-0938.
Elling JM, Sänger N, Schwarz B, et al. Return to Work After Medical Rehabilitation for Musculoskeletal Disorders in Times of the COVID-19 Pandemic: A Retrospective Cohort Study. Arch Phys Med Rehabil 2025. doi:10.1016/j.apmr.2025.04.001.
Elling M, Hetzel C, Streibelt M, et al. Machine Learning to Predict Return to Work After Medical Rehabilitation for Musculoskeletal Disorders: A Retrospective Cohort Study. J Occup Rehabil 2026. doi:10.1007/s10926-025-10359-3.
Elling M, Sänger N, Schwarz B, et al. Rückkehr in Arbeit nach einer beruflichen Rehabilitation in Zeiten der COVID-19-Pandemie: Eine retrospektive Kohortenstudie. Rehabilitation (Stuttg) 2025. doi:10.1055/a-2755-0938.
Reference Number:
R/FO126133
Last Update: 8 May 2024