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Stroke Rehabilitation Use and Caregiver Psychosocial Health Profiles in Singapore: A Latent Profile Transition Analysis.

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Date
2021-04
Authors
Chong, Wayne FW
Ng, Leong Hwee
Ho, Ringo M-H
Koh, Gerald CH
Hoenig, Helen
Matchar, David B
Yap, Philip
Venketasubramanian, Narayanaswamy
Tan, Kelvin B
Ning, Chou
Menon, Edward
Chang, Hui Meng
De Silva, Deidre A
Lee, Kim En
Tan, Boon Yeow
Young, Sherry HY
Ng, Yee Sien
Tu, Tian Ming
Ang, Yan Hoon
Yeo, Tseng Tsai
Merchant, Reshma A
Kong, Keng He
Singh, Rajinder
Ng, Yu Li
Cheong, Angela
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Abstract
<h4>Objectives</h4>To identify and describe caregiver profiles based on their psychosocial health characteristics over a 12-month period and transitions among these profiles, to determine if stroke rehabilitation use at 12 months post-stroke differed by caregiver profile transition patterns, and to investigate if caregiver profiles at 3 months post-stroke moderate the association of stroke rehabilitation use at 3 months and 12 months post-stroke after accounting for covariates.<h4>Design</h4>Latent profile transition analysis of caregiver psychosocial health with stroke rehabilitation use at 12 month post-stroke as outcome.<h4>Setting</h4>and Participants: A total of 149 stroke patient-caregiver dyads from the Singapore Stroke Study.<h4>Methods</h4>Cross-sectional latent profile analyses were conducted on caregiver psychosocial health indicators of burden, depression, health status, quality of relationship with patient, and social support. Changes in latent profile classification over 3 time points (baseline, 3 months, and 12 months post-stroke) were analyzed using latent transition analysis. A transition model with stroke rehabilitation use at 12 months post-stroke as the outcome was tested after accounting for covariates.<h4>Results</h4>Two distinct caregiver psychosocial health latent profiles were found across time: nondistressed and distressed. Most caregivers were classified as nondistressed and remained nondistressed over time. Distressed caregivers at baseline were 76% likely to become nondistressed at 12 month post-stroke. Regardless of profile transition patterns, nondistressed caregivers at 12 months post-stroke tended to have cared for stroke rehabilitation nonusers at 12 months post-stroke. Patient depression explained profile classification at 3 months and 12 months post-stroke. After accounting for covariates, rehabilitation users at 3 months post-stroke tended to continue using rehabilitation at 12 months post-stroke only when they had nondistressed caregivers at 3 months post-stroke.<h4>Conclusions and implications</h4>Whether caregiver adaptation explains the associations between the latent profile transition patterns and rehabilitation use at 12 months post-stroke should be examined. Early psychosocial health assessment and sustained support should be made available to stroke caregivers to enhance their well-being and subsequent patient rehabilitation participation.
Type
Journal article
Subject
Stroke rehabilitation
health services utilization
informal caregiving
latent profile analysis
latent transition analysis
psychosocial health
Permalink
https://hdl.handle.net/10161/22731
Published Version (Please cite this version)
10.1016/j.jamda.2021.02.036
Publication Info
Chong, Wayne FW; Ng, Leong Hwee; Ho, Ringo M-H; Koh, Gerald CH; Hoenig, Helen; Matchar, David B; ... Cheong, Angela (2021). Stroke Rehabilitation Use and Caregiver Psychosocial Health Profiles in Singapore: A Latent Profile Transition Analysis. Journal of the American Medical Directors Association. 10.1016/j.jamda.2021.02.036. Retrieved from https://hdl.handle.net/10161/22731.
This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.
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Scholars@Duke

Hoenig

Helen Marie Hoenig

Professor of Medicine
1. General Focus and Goals of Research: Dr. Hoenig's research focuses on rehabilitation, and more specifically on assistive technology and teletechnology. Patient populations of interest include geriatric patients with diverse medical problems including stroke, spinal and/or musculoskeletal disorders. 2. Specific Approaches or Techniques: Randomized controlled trials, epidemiological studies including large data base analyses and survey research. Clinical trials include studi
Matchar

David Bruce Matchar

Professor of Medicine
My research relates to clinical practice improvement - from the development of clinical policies to their implementation in real world clinical settings. Most recently my major content focus has been cerebrovascular disease. Other major clinical areas in which I work include the range of disabling neurological conditions, cardiovascular disease, and cancer prevention. Notable features of my work are: (1) reliance on analytic strategies such as meta-analysis, simulation, decision analy
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