Evidence map›Paper›PMID 38528545›Full record

ArticleInternational journal for equity in health2024

The chronically ill in the labour market - are they hierarchically sorted by education?

M Kamrul Islam, Egil Kjerstad, Håvard Thorsen Rydland

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Article in International journal for equity in health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Bridging success in the labour market: does continuity of general practitioners' care matter for individuals with common mental disorders?The European journal of health economics : HEPAC : health economics in prevention and care · 2026
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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

M Kamrul IslamNORCE Health and Society, Nygårdsgaten 112, Bergen, 5008, Norway.
Egil KjerstadNORCE Health and Society, Nygårdsgaten 112, Bergen, 5008, Norway. egkj@norceresearch.no.
Håvard Thorsen RydlandNORCE Health and Society, Nygårdsgaten 112, Bergen, 5008, Norway.

Funding

The Research Council of Norway 288191
6 · The paper itself

Abstract

backgroundThe chronically ill as a group has on average lower probability of employment compared to the general population, a situation that has persisted over time in many countries. Previous studies have shown that the prevalence of chronic diseases is higher among those with lower levels of education. We aim to quantify the double burden of low education and chronic illness comparing the differential probabilities of employment between the chronically ill with lower, medium, and high levels of education and how their employment rates develop over time.

methodsUsing merged Norwegian administrative data over a 11-year period (2008-2018), our estimations are based on multivariable regression with labour market and time fixed effects. To reduce bias due to patients' heterogeneity, we included a series of covariates that may influence the association between labour market participation and level of education. To explicitly explore the 'shielding effect' of education over time, the models include the interaction effects between chronic illness and level of education and year.

resultsThe employment probabilities are highest for the high educated and lowest for chronically ill individuals with lower education, as expected. The differences between educational groups are changing over time, though, driven by a revealing development among the lower-educated chronically ill. That group has a significant reduction in employment probabilities both in absolute terms and relative to the other groups. The mean predicted employment probabilities for the high educated chronic patient is not changing over time indicating that the high educated as a group is able to maintain labour market participation over time. Additionally, we find remarkable differences in employment probabilities depending on diagnoses.

conclusionFor the chronically ill as a group, a high level of education seems to "shield" against labour market consequences. The magnitude of the shielding effect is increasing over time leaving chronically ill individuals with lower education behind. However, the shielding effect varies in size between types of chronic diseases. While musculoskeletal, cardiovascular and partly cancer patients are "sorted" hierarchically according to level of education, diabetes, respiratory and mental patients are not.

Indexed as

EmploymentOccupationsChronic DiseaseEducational StatusHumansChronic diseaseEducationEmployment probabilityLongitudinal dataNorwayShielding effectSocio-economic status

Identifiers

PMID38528545
PMCPMC11409748

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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.