Evidence map›Paper›PMID 38151282›Full record

ArticleBMJ open2023

Unemployed and disabled for work: identifying 3-year labour market pathways from the beginning of a sickness absence using sequence and cluster analyses in a register-based longitudinal study in Finland.

Riku Perhoniemi, Jenni Blomgren, Mikko Laaksonen

Abstract read
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Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Riku PerhoniemiSocial Insurance Institution of Finland, Helsinki, Finland riku.perhoniemi@kela.fi.ORCID 0000-0002-3199-3952
Jenni BlomgrenSocial Insurance Institution of Finland, Helsinki, Finland.ORCID 0000-0001-5466-0205
Mikko LaaksonenFinnish Centre for Pensions, Helsinki, Finland.ORCID 0000-0002-6979-9872

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study followed the labour market pathways of unemployed persons who started a sickness absence (SA) spell. We aimed to unravel subgroups based on altering labour market states and to identify covariates of these subgroups.

designRegister-based longitudinal study, with nine labour market states and 36-month units. SETTING AND

participantsAll Finnish persons aged 18-59 years with an SA in 2016 who were unemployed at the start of the SA spell (N=12 639). OUTCOME MEASURES: Sequence analysis was used to study transitions between nine labour market states based on monthly register data on permanent and temporary (full and partial) disability pensions (DP), rehabilitation, all-cause SA, unemployment and employment. Individuals were grouped into clusters based on cluster analysis and intersequence distances. Multinomial regression analysis was used to examine covariates of cluster memberships.

resultsSix clusters with the following pathway identities were found: (1) recurring unemployment (44%); (2) employment after a short SA (18%); (3) rehabilitation, recurring SA and unemployment (12%); (4) unknown sources of income (11%); (5) permanent DP after a prolonged SA (9%) and (6) temporary DP after a prolonged SA (7%).Compared with the reference cluster 2, all other clusters were associated with less employment days and having a chronic illness before the SA spell, SA based on a mental disorder and a rejected DP application during the follow-up. In addition, the clusters had some unique covariates.

conclusionsUnemployed persons starting an SA are a heterogeneous group, with different labour market pathways. For many, the combination of unemployment and work disability means low chances for employment or regained work ability during the following years. Unemployed persons with poorer health, long history outside employment, older age, low educational level, a rejected DP application and a mental disorder could benefit from targeted support.

Indexed as

Persons with DisabilitiesUnemploymentCluster AnalysisFinlandHumansLongitudinal StudiesPensionsSick LeaveSwedenEPIDEMIOLOGYHealth EquityPUBLIC HEALTH

Identifiers

PMID38151282
PMCPMC10753752

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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.