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Predictors of nursing home admission in the older population in Belgium: a longitudinal follow-up of health interview survey participants by Finaba Berete; Stefaan Demarest; Rana Charafeddine; Karin De Ridder; Johan Vanoverloop; Herman Van Oyen; Olivier Bruyère; Johan Van der Heyden is a Medicine article available to read on EtoBox.

What is Predictors of nursing home admission in the older population in Belgium: a longitudinal follow-up of health interview survey participants about?

## Abstract ## Background This study examines predictors of nursing home admission (NHA) in Belgium in order to contribute to a better planning of the future demand for nursing home (NH) services and health care resources. ## Methods Data derived from the Belgian 2013 health interview survey were linked at individual level with health insurance data (2012 tot 2018). Only community dwelling participants, aged ≥65 years at the time of the survey were included in this study (n = 1930). Participants were followed until NHA, death or end of study period, i.e., December 31, 2018. The risk of NHA was calculated using a competing risk analysis. ## Results Over the follow-up period (median 5.29 years), 226 individuals were admitted to a NH and 268 died without admission to a NH. The overall cumulative risk of NHA was 1.4, 5.7 and 13.1% at respectively 1 year, 3 years and end of follow-up period. After multivariable adjustment, higher age, low educational attainment, living alone and use of home care services were significantly associated with a higher risk of NHA. A number of need factors (e.g., history of falls, suffering from urinary incontinence, depression or Alzheimer’s disease) were a

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Author
Finaba Berete; Stefaan Demarest; Rana Charafeddine; Karin De Ridder; Johan Vanoverloop; Herman Van Oyen; Olivier Bruyère; Johan Van der Heyden
Publisher
Springer Science and Business Media LLC
Published
2022
Language
EN
Field
Medicine (Health Sciences)