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Centre for Policy on Ageing | |
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Costs explained by function rather than diagnosis results from the SNAC Nordanstig elderly cohort in Sweden | Author(s) | C Lindholm, A Gustavsson, L Jonsson, A Wimo |
Journal title | International Journal of Geriatric Psychiatry, vol 28, no 5, May 2013 |
Publisher | Wiley Blackwell, May 2013 |
Pages | pp 454-462 |
Source | www.orangejournal.org |
Keywords | Dementia ; Cognitive impairment ; Costs [care] ; Evaluation ; Sweden. |
Annotation | Because the prevalence of many brain disorders rises with age and brain disorders are costly, the economic burden of brain disorders will increase markedly during the next decades. The purpose of this study was to analyse how the costs to society vary with different levels of functioning and with the presence of a brain disorder. Resource utilisation and costs from a societal viewpoint were analysed versus cognition, activities of daily living (ADL), instrumental activities of daily living (IADL), brain disorder diagnosis and age in a population-based cohort of people aged 65 years and older in Nordanstig in Northern Sweden. Descriptive statistics, non-parametric bootstrapping and a generalised linear model (GLM) were used for the statistical analyses. Most people were zero users of care. Societal costs of dementia were by far the highest, ranging from SEK 262 000 (mild) to SEK 519 000 per year (severe dementia). In univariate analysis, all measures of functioning were significantly related to costs. When controlling for ADL and IADL in the multivariate GLM, cognition did not have a statistically significant effect on total cost. The presence of a brain disorder did not impact total cost when controlling for function. The greatest shift in costs was seen when comparing no dependency in ADL and dependency in one basic ADL function. The study concludes that the level of functioning rather than the presence of a brain disorder diagnosis is what predicts costs. ADLs are better explanatory variables of costs than Mini mental state examination. Most people in a population-based cohort are zero users of care. (JL). |
Accession Number | CPA-130419203 A |
Classmark | EA: E4: QDC: 4C: 76P |
Data © Centre for Policy on Ageing |
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...from the Ageinfo database published by Centre for Policy on Ageing. |
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