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Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data

BACKGROUND: The 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 s...

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Autor principal: Altwicker-Hámori, Szilvia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449436/
https://www.ncbi.nlm.nih.gov/pubmed/34537032
http://dx.doi.org/10.1186/s12913-021-06992-2
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author Altwicker-Hámori, Szilvia
author_facet Altwicker-Hámori, Szilvia
author_sort Altwicker-Hámori, Szilvia
collection PubMed
description BACKGROUND: The 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. METHODS: A 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. RESULTS: The 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. CONCLUSIONS: The 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.
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spelling pubmed-84494362021-09-20 Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data Altwicker-Hámori, Szilvia BMC Health Serv Res Research Article BACKGROUND: The 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. METHODS: A 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. RESULTS: The 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. CONCLUSIONS: The 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. BioMed Central 2021-09-18 /pmc/articles/PMC8449436/ /pubmed/34537032 http://dx.doi.org/10.1186/s12913-021-06992-2 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Altwicker-Hámori, Szilvia
Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data
title Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data
title_full Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data
title_fullStr Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data
title_full_unstemmed Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data
title_short Disability insurance benefit application in Switzerland: an analysis of linked administrative and survey data
title_sort disability insurance benefit application in switzerland: an analysis of linked administrative and survey data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449436/
https://www.ncbi.nlm.nih.gov/pubmed/34537032
http://dx.doi.org/10.1186/s12913-021-06992-2
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