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Updated: May 28, 2026
06:55
Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
[Risk Index Disability Pension (RI-DP). A register-based case-control study with 8,500 men and 8,405 women]
M Bethge1, U Egner, M Streibelt
1Klinik für Rehabilitationsmedizin (OE 8300), Medizinische Hochschule Hannover, Koordinierungsstelle Angewandte Rehabilitationsforschung, Carl-Neuberg-Str. 1, 30625, Hannover, Deutschland. Bethge.Matthias@mh-hannover.de
Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz
|October 22, 2011
Summary
Days of sickness benefits strongly predict future disability pensions (DP) for German Pension Fund (GPF) members. This finding can inform proactive medical rehabilitation strategies.
Area of Science:
- Occupational health
- Social insurance medicine
- Biostatistics
Context:
- The German Pension Fund (GPF) holds extensive register data on insured individuals.
- Identifying predictors for disability pensions (DP) is crucial for resource allocation and preventative measures.
- Previous research has not fully leveraged GPF data for DP risk prediction.
Purpose:
- To identify prognostic variables for disability pensions (DP) within GPF register data.
- To develop a predictive risk index for DP using identified variables.
- To validate the prognostic relevance of the constructed risk index.
Summary:
- A case-control study analyzed 8,500 men and 8,405 women from the GPF Bund.
- Days of sickness benefits emerged as the strongest predictor of future DP.
- Men with short-term/long-term benefits had 6.1x/66.3x higher DP odds; women had 3.8x/38.4x higher odds.
- A risk index was created and validated using ROC and survival analyses.
Impact:
- The GPF possesses data capable of supporting an active strategy for medical rehabilitation.
- Early identification of high-risk individuals can facilitate timely intervention.
- This research can improve the efficiency and effectiveness of rehabilitation services.
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