Rydland Håvard Thorsen, Islam Kamrul, Kjerstad Egil
Health and Social Sciences, NORCE Norwegian Research Centre, Bergen, Norway
Health and Social Sciences, NORCE Norwegian Research Centre, Bergen, Norway.
BMJ Open. 2024 Mar 11;14(3):e080464. doi: 10.1136/bmjopen-2023-080464.
Workers with chronic illness are in higher risk of unemployment. This article investigated the worker and workplace characteristics associated with labour market inclusion for workers with a diagnosed chronic illness.
Linked employer-employee register data covering all Norwegian employers and employees each month from February 2015 to December 2019 were merged with patient data from specialist healthcare (136 196 observations (job spells); 70 923 individual workers). Survival analysis was used to estimate the risk of employment exit, with age, gender, chronic illness, full-time/part-time employment, skill level, marital status, children in household, branch, share of chronically ill workers, firm size and unemployment rate as covariates.
85% of the study population was employed in December 2019; 58% remain employed throughout the follow-up period. Mental illness, male gender, young age, part-time employment and lower skill levels were the worker-level predictors of labour market exit. Employments in secondary industries, in firms with high shares of chronically ill workers and, to some extent, in larger firms were the significant workplace-level determinants.
Only a minority of our sample of workers with chronic illness experienced labour market exclusion. Targeted measures should be considered towards workers with poor mental health and/or low formal skills. Chronically ill workers within public administration have the best labour market prospects, while workplaces within the education branch have an unfulfilled potential.
患有慢性病的工人失业风险更高。本文调查了与确诊慢性病工人融入劳动力市场相关的工人及工作场所特征。
将2015年2月至2019年12月每月涵盖所有挪威雇主和雇员的雇主-雇员关联登记数据与专科医疗保健的患者数据合并(136196条观察结果(工作经历);70923名个体工人)。采用生存分析来估计就业退出风险,将年龄、性别、慢性病、全职/兼职就业、技能水平、婚姻状况、家庭子女情况、行业、慢性病工人比例、企业规模和失业率作为协变量。
2019年12月,85%的研究人群受雇;58%在整个随访期内仍受雇。精神疾病、男性、年轻、兼职就业和较低技能水平是劳动力市场退出的工人层面预测因素。第二产业就业、慢性病工人比例高的企业以及在一定程度上较大企业的就业是重要的工作场所层面决定因素。
我们样本中只有少数患有慢性病的工人经历了劳动力市场排斥。应考虑针对心理健康不佳和/或正规技能较低的工人采取有针对性的措施。公共行政部门内患有慢性病的工人有最佳的劳动力市场前景,而教育行业内的工作场所有未实现的潜力。