A decision support tool for supporting individuals living with long-term conditions make informed choices: LTC-Choices tool for continuous healthcare.
Saved in:
| 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 |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 130147338 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A decision support tool for supporting individuals living with long-term conditions make informed choices: LTC-Choices tool for continuous healthcare. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Cowie%2C+Julie%22">Cowie, Julie</searchLink><relatesTo>1</relatesTo><i> julie.cowie@stir.ac.uk</i><br /><searchLink fieldCode="AR" term="%22Burstein%2C+Frada%22">Burstein, Frada</searchLink><relatesTo>2</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Decision+Systems%22">Journal of Decision Systems</searchLink>. 2018 Supplement, Vol. 27, p123-131. 9p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Long-term+health+care%22">Long-term health care</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+technology%22">Medical technology</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+making%22">Decision making</searchLink><br /><searchLink fieldCode="DE" term="%22Lifestyles%22">Lifestyles</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>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.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=130147338 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/12460125.2018.1460157 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 9 StartPage: 123 Subjects: – SubjectFull: Decision support systems Type: general – SubjectFull: Long-term health care Type: general – SubjectFull: Medical technology Type: general – SubjectFull: Decision making Type: general – SubjectFull: Lifestyles Type: general Titles: – TitleFull: A decision support tool for supporting individuals living with long-term conditions make informed choices: LTC-Choices tool for continuous healthcare. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Cowie, Julie – PersonEntity: Name: NameFull: Burstein, Frada IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 01 Text: 2018 Supplement Type: published Y: 2018 Identifiers: – Type: issn-print Value: 12460125 Numbering: – Type: volume Value: 27 Titles: – TitleFull: Journal of Decision Systems Type: main |
| ResultId | 1 |
