2006
DOI: 10.1016/j.nurx.2006.07.009
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Issues in selecting outcome measures to assess functional recovery after stroke

Abstract: Most patients who survive a stroke experience some degree of physical recovery. Selecting the appropriate outcome measure to assess physical recovery is a difficult task, given the heterogeneity of stroke etiology, symptoms, severity, and even recovery itself. Despite these complexities, a number of strategies can facilitate the selection of functional outcome measures in stroke clinical trial research and practice. Clinical relevance in stroke outcome measures can be optimized by incorporating a framework of … Show more

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Cited by 126 publications
(108 citation statements)
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References 152 publications
(234 reference statements)
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“…Given that in multiple test assessment tools, coefficients higher than 0.7 are considered acceptable; it can be asserted that internal consistency was satisfactory in the version studied. According to Anderson classification, internal consistency higher than or equal to 0.8 is considered excellent, between 0.7 and 0.8 adequate, and less than 0.7 poor [18]. A study showed internal consistency of total score of items of WMFT 0.92.…”
Section: Discussionmentioning
confidence: 99%
“…Given that in multiple test assessment tools, coefficients higher than 0.7 are considered acceptable; it can be asserted that internal consistency was satisfactory in the version studied. According to Anderson classification, internal consistency higher than or equal to 0.8 is considered excellent, between 0.7 and 0.8 adequate, and less than 0.7 poor [18]. A study showed internal consistency of total score of items of WMFT 0.92.…”
Section: Discussionmentioning
confidence: 99%
“…Stroke was one of the first diseases to receive attention from research groups studying functionality based on the framework of the International Classification of Functioning, Disability and Health (ICF) 6,7 . The theoretical model described by the ICF is based on the use of a biopsychosocial approach that integrates biological, individual and social determinants of health.…”
Section: Introductionmentioning
confidence: 99%
“…This is in part due to the fact that the components "activity" and "participation" share a single coding list 8 . Thus, the use of instruments previously developed to measure health-related quality of life (HRQoL) constructs have been suggested for use in assessing participation following a stroke 6,11 . According to Geyh et al 12 , both HRQoL and participation are constructs that are geared toward the patient, favoring the interposable use of these concepts.…”
Section: Introductionmentioning
confidence: 99%
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“…To set suitable therapeutic goals and develop effective treatment plans, predictions need to be made about patients' expected degree of recovery 8) . Selection of assessments is an important process, but it is difficult because of the variability in causes, symptoms, severity, and the possibility of spontaneous recovery following stroke 9) .…”
Section: Introductionmentioning
confidence: 99%