Embracing the complexity of primary health care: System-based tools and strategies for researching the case management process

Graham, KD; Steel, A; Wardle, J

Embracing the complexity of primary health care: System-based tools and strategies for researching the case management process

Graham, KD Steel, A

Wardle, J

Permalink

Publisher:: Dove Medical Press
Publication Type:: Journal Article
Citation:: Journal of Multidisciplinary Healthcare, 2021, 14, pp. 2817-2826
Issue Date:: 2021-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (1.01 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Graham, KD
dc.contributor.author	Steel, A https://orcid.org/0000-0001-6643-9444
dc.contributor.author	Wardle, J https://orcid.org/0000-0001-8813-3542
dc.date.accessioned	2021-11-09T02:36:24Z
dc.date.available	2021-11-09T02:36:24Z
dc.date.issued	2021-01-01
dc.identifier.citation	Journal of Multidisciplinary Healthcare, 2021, 14, pp. 2817-2826
dc.identifier.issn	1178-2390
dc.identifier.issn	1178-2390
dc.identifier.uri	http://hdl.handle.net/10453/151433
dc.description.abstract	The provision of health care is frequently a complex process, and favourable clinical outcomes are dependent on the effective management of this complexity. Contemporary medicine and health care practices that are biomedically aligned have been informed by a reductionist paradigm, potentially creating a misalignment between health care and the human organism as a complex adaptive system. Complexity science is increasingly gaining momentum within the academic literature and is being employed across a wide range of scientific disciplines, although this is less evident in medicine. Limited evidence was found within the literature of a complexity science framework being used to explore and inform individual health care practices; in this paper, this gap will be explored through consideration of the use of strategies and tools (specifically mind maps, computer-generated network mappings, exploratory data analysis, and computer-derived network analysis) which are congruent with a complexity science frame-work. This information may be useful to researchers investigating health care provision and to clinicians wishing to incorporate a complexity sensibility within their practice.
dc.language	en
dc.publisher	Dove Medical Press
dc.relation.ispartof	Journal of Multidisciplinary Healthcare
dc.relation.isbasedon	10.2147/JMDH.S327260
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	11 Medical and Health Sciences
dc.title	Embracing the complexity of primary health care: System-based tools and strategies for researching the case management process
dc.type	Journal Article
utslib.citation.volume	14
utslib.for	11 Medical and Health Sciences
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Strength - CHSP - Health Services and Practice
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-11-09T02:36:21Z
pubs.publication-status	Published
pubs.volume	14

Abstract:

The provision of health care is frequently a complex process, and favourable clinical outcomes are dependent on the effective management of this complexity. Contemporary medicine and health care practices that are biomedically aligned have been informed by a reductionist paradigm, potentially creating a misalignment between health care and the human organism as a complex adaptive system. Complexity science is increasingly gaining momentum within the academic literature and is being employed across a wide range of scientific disciplines, although this is less evident in medicine. Limited evidence was found within the literature of a complexity science framework being used to explore and inform individual health care practices; in this paper, this gap will be explored through consideration of the use of strategies and tools (specifically mind maps, computer-generated network mappings, exploratory data analysis, and computer-derived network analysis) which are congruent with a complexity science frame-work. This information may be useful to researchers investigating health care provision and to clinicians wishing to incorporate a complexity sensibility within their practice.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/151433