Towards a Decision Support Personalised Self Management System for Chronic Conditions

H Zheng, CD Nugent, PJ McCullagh, ND Black, Christopher Eccleston, D Bradley, M Hawley, S Brownahell, SJ Mawson, P Wright, GA Mountain

Research output: Chapter in Book/Report/Conference proceedingChapter

8 Citations (Scopus)

Abstract

People with long term health conditions often experience a radically reduced quality of life and suffer from a range of symptoms. Self management can encourage patients with a care support and reduce the burden of the costs of traditional face-to-face healthcare delivery. In this paper, we present a new approach to support self management for patients with long term conditions using assistive, rehabilitation and telecare technologies. A personalised self management system is proposed to effectively monitor, model and analyse relevant signs, symptoms and lifestyle consequences of long term conditions. Information on changes in chronic conditions will be fed back to the users in a meaningful and usable way and can be presented to patients to promote health behavior and to adjust life goals.
Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE International Conference on Networking, Sensing and Control
PublisherIEEE
Pages1521-1524
Number of pages4
DOIs
Publication statusPublished - Apr 2008

Fingerprint

Self Care
Health Behavior
Signs and Symptoms
Life Style
Rehabilitation
Quality of Life
Technology
Delivery of Health Care
Costs and Cost Analysis
Health

Cite this

Zheng, H., Nugent, CD., McCullagh, PJ., Black, ND., Eccleston, C., Bradley, D., ... Mountain, GA. (2008). Towards a Decision Support Personalised Self Management System for Chronic Conditions. In Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control (pp. 1521-1524). IEEE. https://doi.org/10.1109/ICNSC.2008.4525462

Towards a Decision Support Personalised Self Management System for Chronic Conditions. / Zheng, H; Nugent, CD; McCullagh, PJ; Black, ND; Eccleston, Christopher; Bradley, D; Hawley, M; Brownahell, S; Mawson, SJ; Wright, P; Mountain, GA.

Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control. IEEE, 2008. p. 1521-1524.

Research output: Chapter in Book/Report/Conference proceedingChapter

Zheng, H, Nugent, CD, McCullagh, PJ, Black, ND, Eccleston, C, Bradley, D, Hawley, M, Brownahell, S, Mawson, SJ, Wright, P & Mountain, GA 2008, Towards a Decision Support Personalised Self Management System for Chronic Conditions. in Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control. IEEE, pp. 1521-1524. https://doi.org/10.1109/ICNSC.2008.4525462
Zheng H, Nugent CD, McCullagh PJ, Black ND, Eccleston C, Bradley D et al. Towards a Decision Support Personalised Self Management System for Chronic Conditions. In Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control. IEEE. 2008. p. 1521-1524 https://doi.org/10.1109/ICNSC.2008.4525462
Zheng, H ; Nugent, CD ; McCullagh, PJ ; Black, ND ; Eccleston, Christopher ; Bradley, D ; Hawley, M ; Brownahell, S ; Mawson, SJ ; Wright, P ; Mountain, GA. / Towards a Decision Support Personalised Self Management System for Chronic Conditions. Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control. IEEE, 2008. pp. 1521-1524
@inbook{f17436638705453b91568c34fb2781b5,
title = "Towards a Decision Support Personalised Self Management System for Chronic Conditions",
abstract = "People with long term health conditions often experience a radically reduced quality of life and suffer from a range of symptoms. Self management can encourage patients with a care support and reduce the burden of the costs of traditional face-to-face healthcare delivery. In this paper, we present a new approach to support self management for patients with long term conditions using assistive, rehabilitation and telecare technologies. A personalised self management system is proposed to effectively monitor, model and analyse relevant signs, symptoms and lifestyle consequences of long term conditions. Information on changes in chronic conditions will be fed back to the users in a meaningful and usable way and can be presented to patients to promote health behavior and to adjust life goals.",
author = "H Zheng and CD Nugent and PJ McCullagh and ND Black and Christopher Eccleston and D Bradley and M Hawley and S Brownahell and SJ Mawson and P Wright and GA Mountain",
note = "International Conference on Networking, Sensing and Control, 2008, ICNSC 2008. 6-8 April 2008.",
year = "2008",
month = "4",
doi = "10.1109/ICNSC.2008.4525462",
language = "English",
pages = "1521--1524",
booktitle = "Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control",
publisher = "IEEE",
address = "USA United States",

}

TY - CHAP

T1 - Towards a Decision Support Personalised Self Management System for Chronic Conditions

AU - Zheng, H

AU - Nugent, CD

AU - McCullagh, PJ

AU - Black, ND

AU - Eccleston, Christopher

AU - Bradley, D

AU - Hawley, M

AU - Brownahell, S

AU - Mawson, SJ

AU - Wright, P

AU - Mountain, GA

N1 - International Conference on Networking, Sensing and Control, 2008, ICNSC 2008. 6-8 April 2008.

PY - 2008/4

Y1 - 2008/4

N2 - People with long term health conditions often experience a radically reduced quality of life and suffer from a range of symptoms. Self management can encourage patients with a care support and reduce the burden of the costs of traditional face-to-face healthcare delivery. In this paper, we present a new approach to support self management for patients with long term conditions using assistive, rehabilitation and telecare technologies. A personalised self management system is proposed to effectively monitor, model and analyse relevant signs, symptoms and lifestyle consequences of long term conditions. Information on changes in chronic conditions will be fed back to the users in a meaningful and usable way and can be presented to patients to promote health behavior and to adjust life goals.

AB - People with long term health conditions often experience a radically reduced quality of life and suffer from a range of symptoms. Self management can encourage patients with a care support and reduce the burden of the costs of traditional face-to-face healthcare delivery. In this paper, we present a new approach to support self management for patients with long term conditions using assistive, rehabilitation and telecare technologies. A personalised self management system is proposed to effectively monitor, model and analyse relevant signs, symptoms and lifestyle consequences of long term conditions. Information on changes in chronic conditions will be fed back to the users in a meaningful and usable way and can be presented to patients to promote health behavior and to adjust life goals.

UR - http://dx.doi.org/10.1109/ICNSC.2008.4525462

U2 - 10.1109/ICNSC.2008.4525462

DO - 10.1109/ICNSC.2008.4525462

M3 - Chapter

SP - 1521

EP - 1524

BT - Proceedings of the 2008 IEEE International Conference on Networking, Sensing and Control

PB - IEEE

ER -