Patterns of Health-Related Quality of Life among Stroke Survivors: A Longitudinal Study.

Wongsa, D; Soivong, P; Chaiard, J; Davidson, PM

Patterns of Health-Related Quality of Life among Stroke Survivors: A Longitudinal Study.

Wongsa, D Soivong, P Chaiard, J Davidson, PM

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Publisher:: SAGE PUBLICATIONS INC
Publication Type:: Journal Article
Citation:: West J Nurs Res, 2023, 45, (6), pp. 511-519
Issue Date:: 2023-06

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Field	Value	Language
dc.contributor.author	Wongsa, D
dc.contributor.author	Soivong, P
dc.contributor.author	Chaiard, J
dc.contributor.author	Davidson, PM
dc.date.accessioned	2024-01-08T03:09:28Z
dc.date.available	2024-01-08T03:09:28Z
dc.date.issued	2023-06
dc.identifier.citation	West J Nurs Res, 2023, 45, (6), pp. 511-519
dc.identifier.issn	0193-9459
dc.identifier.issn	1552-8456
dc.identifier.uri	http://hdl.handle.net/10453/174087
dc.description.abstract	Six months poststroke is critical for optimizing stroke survivors' recovery and improving their health-related quality of life (HRQoL). Understanding HRQoL profiles in specific domains can provide a more typical plan for stroke survivors. This pilot study aimed to explore the HRQoL patterns among 39 stroke survivors within 6 months following diagnosis. The results revealed that there were four patterns based on HRQoL domains. Pattern 1: energy, family role, mobility, self-care, social role, and work/productivity domains likely to improve; Pattern 2: language and vision domains likely to improve and be stable; Pattern 3: thinking and upper extremity function domains likely to worsen and improve later; and Pattern 4: mood and personality domains likely to worsen and be constant. Health care providers can apply these results by continuing to assess and provide care to stroke survivors focusing on functional status, cognitive status, and depression over time. Further study should explore the factors predicting HRQoL.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	SAGE PUBLICATIONS INC
dc.relation.ispartof	West J Nurs Res
dc.relation.isbasedon	10.1177/01939459231151385
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	1110 Nursing
dc.subject.classification	Nursing
dc.subject.classification	4205 Nursing
dc.subject.mesh	Humans
dc.subject.mesh	Quality of Life
dc.subject.mesh	Longitudinal Studies
dc.subject.mesh	Pilot Projects
dc.subject.mesh	Stroke
dc.subject.mesh	Survivors
dc.subject.mesh	Humans
dc.subject.mesh	Longitudinal Studies
dc.subject.mesh	Pilot Projects
dc.subject.mesh	Quality of Life
dc.subject.mesh	Survivors
dc.subject.mesh	Stroke
dc.subject.mesh	Humans
dc.subject.mesh	Quality of Life
dc.subject.mesh	Longitudinal Studies
dc.subject.mesh	Pilot Projects
dc.subject.mesh	Stroke
dc.subject.mesh	Survivors
dc.title	Patterns of Health-Related Quality of Life among Stroke Survivors: A Longitudinal Study.
dc.type	Journal Article
utslib.citation.volume	45
utslib.location.activity	United States
utslib.for	1110 Nursing
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Health
pubs.organisational-group	/University of Technology Sydney/Faculty of Health/IMPACCT
utslib.copyright.status	closed_access	*
dc.date.updated	2024-01-08T03:09:27Z
pubs.issue	6
pubs.publication-status	Published
pubs.volume	45
utslib.citation.issue	6

Abstract:

Six months poststroke is critical for optimizing stroke survivors' recovery and improving their health-related quality of life (HRQoL). Understanding HRQoL profiles in specific domains can provide a more typical plan for stroke survivors. This pilot study aimed to explore the HRQoL patterns among 39 stroke survivors within 6 months following diagnosis. The results revealed that there were four patterns based on HRQoL domains. Pattern 1: energy, family role, mobility, self-care, social role, and work/productivity domains likely to improve; Pattern 2: language and vision domains likely to improve and be stable; Pattern 3: thinking and upper extremity function domains likely to worsen and improve later; and Pattern 4: mood and personality domains likely to worsen and be constant. Health care providers can apply these results by continuing to assess and provide care to stroke survivors focusing on functional status, cognitive status, and depression over time. Further study should explore the factors predicting HRQoL.

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http://hdl.handle.net/10453/174087