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Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland
BACKGROUND: Return-to-work (RTW) process often includes many phases. Still, multi-state analyses that follow relevant labour market states after a long-term sickness absence (LTSA), and include a comprehensive set of covariates, are scarce. The goal of this study was to follow employment, unemployme...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245454/ https://www.ncbi.nlm.nih.gov/pubmed/37287018 http://dx.doi.org/10.1186/s12889-023-15895-2 |
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author | Perhoniemi, Riku Blomgren, Jenni Laaksonen, Mikko |
author_facet | Perhoniemi, Riku Blomgren, Jenni Laaksonen, Mikko |
author_sort | Perhoniemi, Riku |
collection | PubMed |
description | BACKGROUND: Return-to-work (RTW) process often includes many phases. Still, multi-state analyses that follow relevant labour market states after a long-term sickness absence (LTSA), and include a comprehensive set of covariates, are scarce. The goal of this study was to follow employment, unemployment, sickness absence, rehabilitation, and disability pension spells using sequence analysis among all-cause LTSA absentees. METHODS: Register data covered full-time and partial sickness allowance, rehabilitation, employment, unemployment benefits, and permanent and temporary disability pension (DP), retrieved for a 30% representative random sample of Finnish 18–59 years old persons with a LTSA in 2016 (N = 25,194). LTSA was defined as a ≥ 30-day-long full-time sickness absence spell. Eight mutually exclusive states were constructed for each person and for 36 months after the LTSA. Sequence analysis and clustering were used to identify groups with different labour market pathways. In addition, demographic, socioeconomic, and disability-related covariates of these clusters were examined using multinomial regressions. RESULTS: We identified five clusters with emphases on the different states: (1) rapid RTW cluster (62% of the sample); (2) rapid unemployment cluster (9%); (3) DP after a prolonged sickness absence cluster (11%); (4) immediate or late rehabilitation cluster (6%); (5) other states cluster (6%). Persons with a rapid RTW (cluster 1) had a more advantaged background than other clusters, such as a higher frequency of employment and less chronic diseases before LTSA. Cluster 2 associated especially with pre-LTSA unemployment and lower pre-LTSA earnings. Cluster 3 was associated especially with having a chronic illness before LTSA. Those in cluster 4 were on average younger and had a higher educational level than others. Especially clusters 3 and 4 were associated with a LTSA based on mental disorders. CONCLUSIONS: Among long-term sickness absentees, clear groups can be identified with both differing labour market pathways after LTSA and differing backgrounds. Lower socioeconomic background, pre-LTSA chronic diseases and LTSA caused by mental disorders increase the likelihood for pathways dominated by long-term unemployment, disability pensioning and rehabilitation rather than rapid RTW. LTSA based on a mental disorder can especially increase the likelihood for entering rehabilitation or disability pension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15895-2. |
format | Online Article Text |
id | pubmed-10245454 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-102454542023-06-08 Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland Perhoniemi, Riku Blomgren, Jenni Laaksonen, Mikko BMC Public Health Research BACKGROUND: Return-to-work (RTW) process often includes many phases. Still, multi-state analyses that follow relevant labour market states after a long-term sickness absence (LTSA), and include a comprehensive set of covariates, are scarce. The goal of this study was to follow employment, unemployment, sickness absence, rehabilitation, and disability pension spells using sequence analysis among all-cause LTSA absentees. METHODS: Register data covered full-time and partial sickness allowance, rehabilitation, employment, unemployment benefits, and permanent and temporary disability pension (DP), retrieved for a 30% representative random sample of Finnish 18–59 years old persons with a LTSA in 2016 (N = 25,194). LTSA was defined as a ≥ 30-day-long full-time sickness absence spell. Eight mutually exclusive states were constructed for each person and for 36 months after the LTSA. Sequence analysis and clustering were used to identify groups with different labour market pathways. In addition, demographic, socioeconomic, and disability-related covariates of these clusters were examined using multinomial regressions. RESULTS: We identified five clusters with emphases on the different states: (1) rapid RTW cluster (62% of the sample); (2) rapid unemployment cluster (9%); (3) DP after a prolonged sickness absence cluster (11%); (4) immediate or late rehabilitation cluster (6%); (5) other states cluster (6%). Persons with a rapid RTW (cluster 1) had a more advantaged background than other clusters, such as a higher frequency of employment and less chronic diseases before LTSA. Cluster 2 associated especially with pre-LTSA unemployment and lower pre-LTSA earnings. Cluster 3 was associated especially with having a chronic illness before LTSA. Those in cluster 4 were on average younger and had a higher educational level than others. Especially clusters 3 and 4 were associated with a LTSA based on mental disorders. CONCLUSIONS: Among long-term sickness absentees, clear groups can be identified with both differing labour market pathways after LTSA and differing backgrounds. Lower socioeconomic background, pre-LTSA chronic diseases and LTSA caused by mental disorders increase the likelihood for pathways dominated by long-term unemployment, disability pensioning and rehabilitation rather than rapid RTW. LTSA based on a mental disorder can especially increase the likelihood for entering rehabilitation or disability pension. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12889-023-15895-2. BioMed Central 2023-06-07 /pmc/articles/PMC10245454/ /pubmed/37287018 http://dx.doi.org/10.1186/s12889-023-15895-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Perhoniemi, Riku Blomgren, Jenni Laaksonen, Mikko Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland |
title | Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland |
title_full | Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland |
title_fullStr | Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland |
title_full_unstemmed | Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland |
title_short | Identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in Finland |
title_sort | identifying labour market pathways after a 30-day-long sickness absence –a three-year sequence analysis study in finland |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10245454/ https://www.ncbi.nlm.nih.gov/pubmed/37287018 http://dx.doi.org/10.1186/s12889-023-15895-2 |
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