View in EDS

A decision support tool for supporting individuals living with long-term conditions make informed choices: LTC-Choices tool for continuous healthcare.

Saved in:
Bibliographic Details
Title: A decision support tool for supporting individuals living with long-term conditions make informed choices: LTC-Choices tool for continuous healthcare.
Authors: Cowie, Julie1 julie.cowie@stir.ac.uk, Burstein, Frada2
Source: Journal of Decision Systems. 2018 Supplement, Vol. 27, p123-131. 9p.
Subjects: Decision support systems, Long-term health care, Medical technology, Decision making, Lifestyles
Abstract: An increasing number of individuals are now living with some form of chronic, long-term condition (LTC). The holistic perspective of LTCs makes it important to acknowledge that priorities and decisions are in fluctuation over the course of an individual’s life. The landscape of digital healthcare is full of information systems that capture individuals’ health data, clinical guidelines and/or advice on health conditions, which taken together can help create a comprehensive overview of suitable lifestyle choices to optimise health and well-being. Despite this, there is no evidence of existing frameworks to support individuals living with LTCs from a continuum of care perspective. In this paper, we propose such a multidimensional model for a decision support tool - LTC-Choices. This tool was developed from existing work conducted by the authors around use of multicriteria to support health decision-making. We illustrate how LTC-Choices can be implemented using the example of individuals living post-stroke. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Decision Systems is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Description
Abstract:An increasing number of individuals are now living with some form of chronic, long-term condition (LTC). The holistic perspective of LTCs makes it important to acknowledge that priorities and decisions are in fluctuation over the course of an individual’s life. The landscape of digital healthcare is full of information systems that capture individuals’ health data, clinical guidelines and/or advice on health conditions, which taken together can help create a comprehensive overview of suitable lifestyle choices to optimise health and well-being. Despite this, there is no evidence of existing frameworks to support individuals living with LTCs from a continuum of care perspective. In this paper, we propose such a multidimensional model for a decision support tool - LTC-Choices. This tool was developed from existing work conducted by the authors around use of multicriteria to support health decision-making. We illustrate how LTC-Choices can be implemented using the example of individuals living post-stroke. [ABSTRACT FROM AUTHOR]
ISSN:12460125
DOI:10.1080/12460125.2018.1460157