ArticleBMC health services research2021
Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data.
Article in BMC health services research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe guiding principle of disability insurance in Switzerland is 'rehabilitation before pension'. Access to rehabilitation measures to restore, maintain or improve the earning capacity of individuals with disabilities is essential. Gainful employment enables them to be an active part of society, improves their quality of life, and may mitigate the adverse health effects of disability pension receipt. The aim of this study was therefore to identify factors for disability insurance benefit application in Switzerland.
methodsA novel dataset was created linking the 2010 Social Protection and Labour Market cross-section with administrative register data on disability insurance benefit application (2009-2018). Multiple logistic regression was employed to examine the associations between long-term health-related activity limitation, region of residence, demographic and socioeconomic characteristics and disability insurance benefit application in adults aged 18-55 (N = 18,448). Sensitivity analysis based on age was performed in individuals aged 18 to retirement age and aged 25 to 55.
resultsThe regression results showed higher odds of disability insurance benefit application for individuals suffering from long-term health-related activity limitations (OR 2.88; 95% CI 1.29-6.44; p-value 0.010); born outside of Switzerland (OR 1.75; 95% CI 1.32-2.32; p-value 0.000); living without a working partner (OR 1.54; 95% CI 1.17-2.02; p-value 0.002); living without a child aged 0-14 years (OR 1.70; 95% CI 1.29-2.26; p-value 0.000); aged 18-39 (OR 1.41; 95% CI 1.09-1.83; p-value 0.009); with a learnt occupation in 'Manufacturing' (OR 2.75; 95% CI 1.68-4.50; p-value 0.000), 'Construction and mining' (OR 2.03; 95% CI 1.13-3.66; p-value 0.018), 'Trade and transport' (OR 2.12; 95% CI 1.30-3.45; p-value 0.003), 'Business and administration' (OR 1.68; 95% CI 1.03-2.72; p-value 0.036), and 'Health, teaching, culture and science' (OR 1.55; 95% CI 1.05-2.29; p-value 0.026); and renters (OR 1.44; 95% CI 1.00-1.94; p-value 0.016). The results were robust to alternative samples defined by age - albeit with some differences in regional and learnt occupational patterns.
conclusionsThe results suggested that disability insurance benefit application is more than a health-related phenomenon in Switzerland. However, the results provided a less consistent picture on the role of marginalization in application than in other European countries.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.