Excluded from social security: rejections of disability pension applications in Norway 1998-2004.
OBJECTIVE
Admission to disability pension (DP) in Norway, like most other countries, requires a medical condition as the main cause of income reduction. Still, a widespread assumption is that much of the recruitment to the programme is rather due to non-medical, mainly labour market factors. In this article, we study the grey zones between acceptance and rejection of DP applications, in light of the concept of marginalisation.


METHODS
From the total Norwegian population, aged 18-66 in 1998, we included all first-time applications for DP between 1998 and 2004. Logistic regressions of both application and application outcome were then performed, controlling for a range of socioeconomic variables and medical diagnosis.


RESULTS
Medical diagnosis had the strongest impact on application outcome, together with the applicant's age. High rejection risk was found among applicants with complex musculoskeletal diagnoses, and also for complex psychiatric diagnoses as compared to well-defined ones. Persons having previously received social assistance more often applied for a DP and more often were rejected. The same is true, though on a lesser scale, for people with a weak affiliation to the labour market.


CONCLUSIONS
The DP programme in Norway is to a large degree medically oriented, not only judicially but also in practice. Nevertheless, non-medical factors have a bearing on both application rates and application outcome. The control system seems to work in a way that excludes the most marginalised applicants, thus possibly contributing to further marginalisation of already disadvantaged groups.
Institute of Health and Society, University of Oslo, Blindern, Oslo, Norway. a.m.galaasen@medisin.uio.no
Anders Mølster
AM
Galaasen
Dag
D
Bruusgaard
Bjørgulf
B
Claussen
D000293:Adolescent; D000328:Adult; D000368:Aged; D003933:Diagnosis; D004185:Disability Evaluation; D006233:Persons with Disabilities / Q000706:statistics & numerical data*; D004608:Eligibility Determination; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D009664:Norway; D016272:Occupational Health; D010415:Pensions / Q000706:statistics & numerical data*; D012943:Social Security / Q000331:legislation & jurisprudence*; D012959:Socioeconomic Factors; D055815:Young Adult