Can acute clinical outcomes predict health-related quality of life after stroke: a one-year prospective study of stroke survivors.
Date
2018-11-21
Journal Title
Journal ISSN
Volume Title
Repository Usage Stats
views
downloads
Citation Stats
Abstract
Background
Health-related quality of life (HRQoL) is a key metric to understand the impact of stroke from patients' perspective. Yet HRQoL is not readily measured in clinical practice. This study aims to investigate the extent to which clinical outcomes during admission predict HRQoL at 3 months and 1 year post-stroke.Methods
Stroke patients admitted to five tertiary hospitals in Singapore were assessed with Shah-modified Barthel Index (Shah-mBI), National Institute of Health Stroke Scale (NIHSS), Modified Rankin Scale (mRS), Mini-Mental State Examination (MMSE), and Frontal Assessment Battery (FAB) before discharge, and the EQ-5D questionnaire at 3 months and 12 months post-stroke. Association of clinical measures with the EQ index at both time points was examined using multiple linear regression models. Forward stepwise selection was applied and consistently significant clinical measures were analyzed for their association with individual dimensions of EQ-5D in multiple logistic regressions.Results
All five clinical measures at baseline were significant predictors of the EQ index at 3 months and 12 months, except that MMSE was not significantly associated with the EQ index at 12 months. NIHSS (3-month standardized β = - 0.111; 12-month standardized β = - 0.109) and mRS (3-month standardized β = - 0.122; 12-month standardized β = - 0.080) were shown to have a larger effect size than other measures. The contribution of NIHSS and mRS as significant predictors of HRQoL was mostly explained by their association with the mobility, self-care, and usual activities dimensions of EQ-5D.Conclusions
HRQoL at 3 months and 12 months post-stroke can be predicted by clinical outcomes in the acute phase. NIHSS and mRS are better predictors than BI, MMSE, and FAB.Type
Department
Description
Provenance
Citation
Permalink
Published Version (Please cite this version)
Publication Info
Yeoh, Yen Shing, Gerald Choon-Huat Koh, Chuen Seng Tan, Kim En Lee, Tian Ming Tu, Rajinder Singh, Hui Meng Chang, Deidre A De Silva, et al. (2018). Can acute clinical outcomes predict health-related quality of life after stroke: a one-year prospective study of stroke survivors. Health and quality of life outcomes, 16(1). p. 221. 10.1186/s12955-018-1043-3 Retrieved from https://hdl.handle.net/10161/22793.
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.
Collections
Scholars@Duke
Helen Marie Hoenig
- 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 studies of the effects of motorized scooters in persons with difficulty walking, methods for providing wheelchairs, and telerehabilitation for exercise & functional mobility training in the home. Epidemiological studies and survey research have examined use of assistive technology and other coping strategies to disability.
4. Special areas of expertise/national recognition: Rehabilitation health services research, geriatric rehabilitation, assistive technology outcomes, telerehabilitation.
KEY WORDS/PHRASES: Rehabilitation, Process and Outcomes Research, Assistive Technology, Telehealth, Activities of Daily Living, Geriatrics, Disability.
Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.