Laaksonen Mikko, Perhoniemi Riku, Blomgren Jenni
Finnish Centre for Pensions (ETK), Finland.
The Social Insurance Institution of Finland (Kela), Finland.
Scand J Public Health. 2024 Jun 20:14034948241254425. doi: 10.1177/14034948241254425.
Large differences exist in the risk of disability retirement between Finnish municipalities. This study examined whether individual-level and municipality-level characteristics explain these differences and which municipality-level characteristics are particularly important for the risk of disability retirement.
Individual-level register data were supplemented with 10 municipality-level characteristics from various databases. A 20% sample of the Finnish population (=626,391) was followed for transition to disability retirement from 2016 to 2019 using multilevel Weibull models.
Of the total variation in the risk of disability retirement, 4.3% was attributed to the municipal-level and decreased to 1.8% when individual-level characteristics (gender, age, education level and entitlement to special reimbursement for medical expenses, reflecting morbidity) were controlled for. Further adjustment for municipality-level characteristics fully erased the differences between municipalities. The proportion of municipality-level variation was larger for disability retirement due to somatic illnesses than mental disorders. Of the municipality-level characteristics, socioeconomic structure, unemployment rate, poverty, net migration between municipalities, dependency ratio, the amount of tax revenue per capita and morbidity were associated with the risk of disability retirement.
The municipality-level variation in the risk of disability retirement is largely explained by the individual characteristics of the inhabitants. However, various characteristics of the municipalities show associations with the risk of disability retirement. Recognizing such factors is essential for shaping policies that mitigate disability retirement risk.
芬兰各市政当局之间在残疾退休风险方面存在巨大差异。本研究调查了个人层面和市政当局层面的特征是否能解释这些差异,以及哪些市政当局层面的特征对残疾退休风险尤为重要。
利用来自各个数据库的10个市政当局层面的特征对个人层面的登记数据进行补充。使用多水平韦布尔模型,对20%的芬兰人口样本(=626,391人)在2016年至2019年期间向残疾退休的转变情况进行追踪。
在残疾退休风险的总变异中,4.3%归因于市政当局层面,在控制了个人层面特征(性别、年龄、教育水平以及反映发病率的医疗费用特殊报销资格)后,这一比例降至1.8%。对市政当局层面特征的进一步调整完全消除了各市政当局之间的差异。因躯体疾病导致的残疾退休的市政当局层面变异比例大于因精神障碍导致的残疾退休。在市政当局层面的特征中,社会经济结构、失业率、贫困、市政当局之间的净移民、抚养比、人均税收收入和发病率与残疾退休风险相关。
残疾退休风险的市政当局层面变异在很大程度上可由居民的个人特征来解释。然而,市政当局的各种特征与残疾退休风险存在关联。认识到这些因素对于制定降低残疾退休风险的政策至关重要。