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

doi:10.3233/SHTI231173

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

College of Nursing and Health Sciences

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Citations (Scopus)

374 Downloads (Pure)

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.

Original language	English
Title of host publication	Studies in Health Technology and Informatics
Editors	Jen Bichel-Findlay, Paula Otero, Philip Scott, Elaine Huesing
Place of Publication	Amsterdam
Publisher	IOS Press
Pages	1292-1296
Number of pages	5
Volume	310
ISBN (Electronic)	978-1-64368-457-4
ISBN (Print)	978-1-64368-456-7
DOIs	https://doi.org/10.3233/SHTI231173
Publication status	Published - 16 Feb 2024
Event	19th World Congress on Medical and Health Informatics - International Convention Centre, Sydney, Australia Duration: 8 Jul 2023 → 12 Jul 2023 Conference number: 19th https://medinfo2023.org/

Publication series

Name	Studies in health technology and informatics
Publisher	IOS PRESS
ISSN (Print)	0926-9630

Conference

Conference	19th World Congress on Medical and Health Informatics
Abbreviated title	MEDINFO23
Country/Territory	Australia
City	Sydney
Period	8/07/23 → 12/07/23
Internet address	https://medinfo2023.org/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being
SDG 10 Reduced Inequalities
SDG 17 Partnerships for the Goals

Keywords

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

Access to Document

10.3233/SHTI231173Licence: CC BY-NC

Final published versionFinal published version, 631 KBLicence: CC BY-NC

Cite this

Pinero de Plaza, M. A., Beleigoli, A., Kitson, A., McMillan, P., & Javier Barrera Causil, C. (2024). Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People. In J. Bichel-Findlay, P. Otero, P. Scott, & E. Huesing (Eds.), Studies in Health Technology and Informatics (Vol. 310, pp. 1292-1296). (Studies in health technology and informatics). IOS Press. https://doi.org/10.3233/SHTI231173

Pinero de Plaza, Maria Alejandra ; Beleigoli, Alline ; Kitson, Alison et al. / Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People. Studies in Health Technology and Informatics. editor / Jen Bichel-Findlay ; Paula Otero ; Philip Scott ; Elaine Huesing . Vol. 310 Amsterdam : IOS Press, 2024. pp. 1292-1296 (Studies in health technology and informatics).

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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.",

keywords = "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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Pinero de Plaza, MA, Beleigoli, A, Kitson, A, McMillan, P & Javier Barrera Causil, C 2024, Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People. in J Bichel-Findlay, P Otero, P Scott & E Huesing (eds), Studies in Health Technology and Informatics. vol. 310, Studies in health technology and informatics, IOS Press, Amsterdam, pp. 1292-1296, 19th World Congress on Medical and Health Informatics, Sydney, New South Wales, Australia, 8/07/23. https://doi.org/10.3233/SHTI231173

Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People. / Pinero de Plaza, Maria Alejandra ; Beleigoli, Alline; Kitson, Alison et al.
Studies in Health Technology and Informatics. ed. / Jen Bichel-Findlay; Paula Otero; Philip Scott; Elaine Huesing . Vol. 310 Amsterdam: IOS Press, 2024. p. 1292-1296 (Studies in health technology and informatics).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

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T1 - Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People

AU - Pinero de Plaza, Maria Alejandra

AU - Beleigoli, Alline

AU - Kitson, Alison

AU - McMillan, Penelope

AU - Javier Barrera Causil, Carlos

N1 - Conference code: 19th

PY - 2024/2/16

Y1 - 2024/2/16

N2 - 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.

AB - 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.

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KW - Epidemiologic methods

KW - Frailty

KW - Homebound Persons

KW - Digital Health

KW - Equity

KW - Health care access

KW - Marginalisation

KW - Humans Risk Factors

KW - Aged Big Data

KW - Frail Elderly

KW - Health Status

KW - Statistical analysis

KW - mathematical model

KW - Multiple Correspondence Analysis

KW - frail

KW - bedridden

KW - homebound

KW - Big data epidemiology

KW - public health

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M3 - Chapter

SN - 978-1-64368-456-7

VL - 310

T3 - Studies in health technology and informatics

SP - 1292

EP - 1296

BT - Studies in Health Technology and Informatics

A2 - Bichel-Findlay, Jen

A2 - Otero, Paula

A2 - Scott, Philip

A2 - Huesing , Elaine

PB - IOS Press

CY - Amsterdam

T2 - 19th World Congress on Medical and Health Informatics

Y2 - 8 July 2023 through 12 July 2023

ER -

Pinero de Plaza MA, Beleigoli A, Kitson A, McMillan P, Javier Barrera Causil C. Piloting a Big Data Epidemiology Approach to Support Frail, Homebound, and Bedridden People. In Bichel-Findlay J, Otero P, Scott P, Huesing E, editors, Studies in Health Technology and Informatics. Vol. 310. Amsterdam: IOS Press. 2024. p. 1292-1296. (Studies in health technology and informatics). doi: 10.3233/SHTI231173

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

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Australian Postgraduate Award, University of South AU. 2010-2012

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Health Translation SA (HTSA) Research Seminar Series: Partnering with Frail, Homebound, and Bedridden People (#FHBP): Consumer-Led and Co-Designed Knowledge Translation

Cite this

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

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

Other files and links

Fingerprint

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