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Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People.

Authors :
PINERO DE PLAZA, Maria Alejandra
BELEIGOLI, Alline
KITSON, Alison
MCMILLAN, Penelope
BARRERA CAUSIL, Carlos Javier
Source :
Studies in Health Technology & Informatics; 2023, Vol. 310, p1292-1296, 5p
Publication Year :
2023

Abstract

Frail, homebound, and bedridden people (FHBP) are people living at home whose daily life is physically limited to the boundary of their houses because of their ongoing health, energy, and psychosocial or socio-functional impairments. This definition needs a scientific, systematic, and data-driven view of the distribution (frequency, pattern) and determinants (causes, risk factors) of health- related states and adverse events experienced by FHBP. Thus, we piloted a big data epidemiology approach (Multiple Correspondence Analysis and data visualization) from 300 survey responses about FHBP experiences and identified a positive correlation between perceived health status and reported impairments. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
310
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
175248983
Full Text :
https://doi.org/10.3233/SHTI231173