title: [Are Administrative Data Prognostically Relevant for Intended Disability Pension Claims and Indicators of Subjective Need for Rehabilitation?].
abstract: OBJECTIVE
  The aim of the study was to examine the associations of the Risk Index Disability Pension (RI-DP), which was calculated from administrative data, with intended disability pension claims and other health- and work-related characteristics.
  
  
  METHODS
  Insured persons of the Federal German Pension Insurance were surveyed by questionnaire in 2013. Questionnaire data were additionally linked to administrative data. The gross sample was restricted to persons, who received sick leave benefits in the previous year while not claiming or utilizing any rehabilitation services for the previous 4 years.
  
  
  RESULTS
  1,261 men and 1,495 women were included in the analyses. The odds of an intended disability pension claim were 4.8-times higher in men and 3.4-times higher in women if RI-DP scores were high. Furthermore, high RI-DP scores were also associated with frequent disability days, poor self-rated work ability and frequent visits to physicians.
  
  
  CONCLUSIONS
  The associations of the RI-DP with the examined characteristics imply that administrative data could support early identification of rehabilitation needs.
authors.affiliation: Institut für Sozialmedizin und Epidemiologie, Universität zu Lübeck.
authors.forename: K
authors.initials: K
authors.lastname: Spanier
authors.affiliation: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin.
authors.forename: I
authors.initials: I
authors.lastname: Mohnberg
authors.affiliation: Institut für Medizinische Soziologie und Rehabilitationswissenschaft, Charité - Universitätsmedizin Berlin.
authors.forename: F M
authors.initials: FM
authors.lastname: Radoschewski
authors.affiliation: Deutsche Rentenversicherung Bund, Berlin.
authors.forename: M
authors.initials: M
authors.lastname: Streibelt
authors.affiliation: Institut für Sozialmedizin und Epidemiologie, Universität zu Lübeck.
authors.forename: M
authors.initials: M
authors.lastname: Bethge
mesh_terms: D004185:Disability Evaluation; D006233:Persons with Disabilities / Q000145:classification / Q000706:statistics & numerical data*; D004608:Eligibility Determination / Q000379:methods* / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007345:Insurance Claim Review / Q000706:statistics & numerical data*; D008297:Male; D008875:Middle Aged; D020380:Needs Assessment / Q000706:statistics & numerical data*; D011379:Prognosis; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D017678:Sex Distribution