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

Maria Alejandra Pinero de Plaza, Alline Beleigoli, Alison Kitson, Penelope McMillan, Carlos Javier Barrera Causil

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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.
Original languageEnglish
Title of host publicationStudies in Health Technology and Informatics
EditorsJen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
Place of PublicationAmsterdam
PublisherIOS Press
Number of pages5
ISBN (Electronic)978-1-64368-457-4
ISBN (Print)978-1-64368-456-7
Publication statusPublished - 16 Feb 2024
Event19th World Congress on Medical and Health Informatics - International Convention Centre, Sydney, Australia
Duration: 8 Jul 202312 Jul 2023
Conference number: 19th

Publication series

NameStudies in health technology and informatics
PublisherIOS PRESS
ISSN (Print)0926-9630


Conference19th World Congress on Medical and Health Informatics
Abbreviated titleMEDINFO23
Internet address


  • big data analysis
  • Epidemiologic methods
  • Frailty
  • Homebound Persons
  • Digital Health
  • Equity
  • Health care access
  • Marginalisation
  • Humans Risk Factors
  • Aged Big Data
  • Frail Elderly
  • Health Status
  • Statistical analysis
  • mathematical model
  • Multiple Correspondence Analysis
  • frail
  • bedridden
  • homebound
  • Big data epidemiology
  • public health


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