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- Dahlberg, Lena, 1970-, et al.
(författare)
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Age and gender of informal carers : a population-based study in the UK
- 2007
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Ingår i: Health & Social Care in the Community. - : Hindawi Limited. - 0966-0410 .- 1365-2524. ; 15:5, s. 439-45
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Tidskriftsartikel (refereegranskat)abstract
- This paper identifies variations in the age and gender characteristics of informal carers in the UK. The paper is based on the Individual Sample of Anonymous Records, a 3% random sample of the 2001 UK Census. The sample size was 1 825 595. Of this sample, 10% were reported to be carers. The analysis shows that informal caregiving is systematically linked with both age and gender. Caregiving increased with age until reaching a peak in the 45-59 age group, in which almost 20% were carers. Similarly, the amount of time spent caregiving increased with age, with the highest levels of caregiving commitment in people aged 80-89 years. Regarding gender, 11.3% of women were carers compared to 8.6% of men and overall women committed more time to caregiving than men. However, this pattern was reversed in later life (70+), where there was a higher proportion of carers and greater time commitment to caregiving amongst men. While the predominance of women as informal carers has been well reported, the importance of men as informal carers in old age is much less commented upon. This study thus suggests that informal caregiving is most prevalent in groups of the population that, according to previous research, may experience most strain from doing so: elderly people who may be frail and often are in a spousal relationship with the care-recipient, and middle-aged women with multiple roles. Therefore, it is of great importance that their particular needs and circumstances are fully taken into account both in the development of formal support and when information about available support is targeted.
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3. |
- Rydland, Håvard T, et al.
(författare)
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Educational inequalities in mortality amenable to healthcare. A comparison of European healthcare systems
- 2020
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 15:7
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Educational inequalities in health and mortality in European countries have often been studied in the context of welfare regimes or political systems. We argue that the healthcare system is the national level feature most directly linkable to mortality amenable to healthcare. In this article, we ask to what extent the strength of educational differences in mortality amenable to healthcare vary among European countries and between European healthcare system types.METHODS: This study uses data on mortality amenable to healthcare for 21 European populations, covering ages 35-79 and spanning from 1998 to 2006. ISCED education categories are used to calculate relative (RII) and absolute inequalities (SII) between the highest and lowest educated. The healthcare system typology is based on the latest available classification. Meta-analysis and ANOVA tests are used to see if and how they can explain between-country differences in inequalities and whether any healthcare system types have higher inequalities.RESULTS: All countries and healthcare system types exhibited relative and absolute educational inequalities in mortality amenable to healthcare. The low-supply and low performance mixed healthcare system type had the highest inequality point estimate for the male (RII = 3.57; SII = 414) and female (RII = 3.18; SII = 209) population, while the regulation-oriented public healthcare systems had the overall lowest (male RII = 1.78; male SII = 123; female RII = 1.86; female SII = 78.5). Due to data limitations, results were not robust enough to make substantial claims about typology differences.CONCLUSIONS: This article aims at discussing possible mechanisms connecting healthcare systems, social position, and health. Results indicate that factors located within the healthcare system are relevant for health inequalities, as inequalities in mortality amenable to medical care are present in all healthcare systems. Future research should aim at examining the role of specific characteristics of healthcare systems in more detail.
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