Prevalence and predictors of healthcare utilization among older people (60+): Focusing on ADL dependency and risk of depression.

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Abstract

The aim of this study was to investigate healthcare utilization patterns over a six-year period among older people (60+), classified as dependent/independent in Activities of Daily Living (ADL) and/or at/not at risk of depression and to identify healthcare utilization predictors. A sample (n=1402) comprising ten age cohorts aged between 60 and 96 years was drawn from the Swedish National study on Aging and Care (SNAC). Baseline data were collected between 2001 and 2003. Number and length of hospital stays were collected for six years after baseline year. Group differences and mean changes over time were investigated. Healthcare utilization predictors were explored using multiple linear regression analysis. The results revealed that 21-24% had at least one hospital stay in the six years after baseline, 29-37% among ADL dependent subjects and 24-33% among those at risk of depression. There was a significant increase of hospital stays in all groups over time. ADL-dependent subjects and those at risk of depression had significant more hospital stays, except for those at/not at risk of depression in years 2, 4 and 5. The healthcare utilization predictors 5-6 years after baseline were mainly age, previous healthcare utilization and various symptoms and, in 1-2 and 3-4 years after baseline, age, various diagnostic groups and various physical variables. Thus healthcare utilization patterns seem to be similar for the different groups, but it is difficult to find universal predictors. This suggests that different variables should be considered, including both ADL and psychosocial variables, when trying to identify future healthcare users.
Original languageEnglish
Pages (from-to)E349-E363
JournalArchives of Gerontology and Geriatrics
Volume54
Issue number3
DOIs
Publication statusPublished - 2012

Bibliographical note

The information about affiliations in this record was updated in December 2015.
The record was previously connected to the following departments: Family Medicine (013241010), Family medicine, psychiatric epidemiology and migration (013240037), Division of Nursing (Closed 2012) (013065000)

Subject classification (UKÄ)

  • Public Health, Global Health, Social Medicine and Epidemiology

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