Abstract
AbstractAcross EU countries, all available evidence suggests that the number of deaths linked to COVID-19 among those living in nursing homes has been extremely high. However, it is largely unknown to what extent income and education affect the probability of being a nursing home resident. If the probability of residing in a nursing home is stratified by socio-economic status, under the current COVID-19 pandemic socio-economic inequality in the probability of living in a nursing home could contribute to enlarge socio-economic inequalities in the risk of mortality with COVID-19. In this article, we investigate whether there are income and educational differences in the likelihood of being a resident in a nursing home across 12 European countries. We use SHARE data (waves 5–7) and compute logistic regression models for rare events. We find that low-educated individuals and those having household income below the national median are more likely to live in a nursing home. This general pattern holds across all the European countries considered. However, there is considerable uncertainty in our estimates due to a small sample size, and firm conclusions on how the effect of socio-economic characteristics varies across countries cannot be drawn. Still, there is some indication that educational and income differences are the largest in the Scandinavian countries (Denmark and Sweden) and the Netherlands, while the smallest ones are found in Italy, with the remaining countries laying in between.
Publisher
Springer Science and Business Media LLC
Reference37 articles.
1. Agüero-Torres, H., Von Strauss, E., Viitanen, M., Winblad, B., & Fratiglioni, L. (2001). Institutionalization in the elderly: the role of chronic diseases and dementia. Cross-sectional and longitudinal data from a population-based study. Journal of Clinical Epidemiology, 54(8), 795–801. https://doi.org/10.1016/S0895-4356(00)00371-1.
2. Albertini, M., & Pavolini, E. (2015). Unequal inequalities: the stratification of the use of formal care among older Europeans. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 72(3), 510–521.
3. Alders, P., Costa-Font, J., de Klerk, M., & Frank, R. (2015). What is the impact of policy differences on nursing home utilization? The cases of Germany and the Netherlands. Health Policy, 119(6), 814–820. https://doi.org/10.1016/j.healthpol.2015.02.006.
4. Angelini, V., & Laferrère, A. (2012). Residential mobility of the European elderly. CESifo Economic Studies, 58(3), 544–569. https://doi.org/10.1093/cesifo/ifr017.
5. Bernardi, F., Chakhaia, L., & Leopold, L. (2017). ‘Sing Me a Song with Social Significance’: the (Mis) use of statistical significance testing in European Sociological Research. European Sociological Review, 33(1), 1–15.
Cited by
8 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献