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

Big data epidemiology bedridden frail homebound public health

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
25 Jan 2024
Historique:
medline: 25 1 2024
pubmed: 25 1 2024
entrez: 25 1 2024
Statut: ppublish

Résumé

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.

Identifiants

pubmed: 38270023
pii: SHTI231173
doi: 10.3233/SHTI231173
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1292-1296

Auteurs

Maria Alejandra Pinero De Plaza (MA)

Flinders University, Adelaide, South Australia, 5000, Australia.

Alline Beleigoli (A)

Flinders University, Adelaide, South Australia, 5000, Australia.

Alison Kitson (A)

Flinders University, Adelaide, South Australia, 5000, Australia.

Penelope McMillan (P)

Health Consumers ME/CFS SA, South Australia, 5000, Australia.

Carlos Javier Barrera Causil (CJ)

Instituto Tecnológico Metropolitano, Medellín 050034, Colombia.

Classifications MeSH