The Stroke Impact Scale Version 2.0

  • Pamela W. Duncan
    From the Center on Aging (P.W.D., D.W., S.M.L.), and the Department of Preventative Medicine (D.W., S.M.L.), University of Kansas Medical Center, Kansas City, Kan; the Department of Veterans Affairs Medical Center, Kansas City, Mo (P.W.D., L.J.L.); the Department of Health Policy and Management (P.W.D.) University of Kansas, Overland Park, Kan; the Department of Psychology, University of Kansas, Lawrence, Kan (S.E.); and the Department of Statistics, Kansas State University (D.J.), Manhattan Kan.
  • Dennis Wallace
    From the Center on Aging (P.W.D., D.W., S.M.L.), and the Department of Preventative Medicine (D.W., S.M.L.), University of Kansas Medical Center, Kansas City, Kan; the Department of Veterans Affairs Medical Center, Kansas City, Mo (P.W.D., L.J.L.); the Department of Health Policy and Management (P.W.D.) University of Kansas, Overland Park, Kan; the Department of Psychology, University of Kansas, Lawrence, Kan (S.E.); and the Department of Statistics, Kansas State University (D.J.), Manhattan Kan.
  • Sue Min Lai
    From the Center on Aging (P.W.D., D.W., S.M.L.), and the Department of Preventative Medicine (D.W., S.M.L.), University of Kansas Medical Center, Kansas City, Kan; the Department of Veterans Affairs Medical Center, Kansas City, Mo (P.W.D., L.J.L.); the Department of Health Policy and Management (P.W.D.) University of Kansas, Overland Park, Kan; the Department of Psychology, University of Kansas, Lawrence, Kan (S.E.); and the Department of Statistics, Kansas State University (D.J.), Manhattan Kan.
  • Dallas Johnson
    From the Center on Aging (P.W.D., D.W., S.M.L.), and the Department of Preventative Medicine (D.W., S.M.L.), University of Kansas Medical Center, Kansas City, Kan; the Department of Veterans Affairs Medical Center, Kansas City, Mo (P.W.D., L.J.L.); the Department of Health Policy and Management (P.W.D.) University of Kansas, Overland Park, Kan; the Department of Psychology, University of Kansas, Lawrence, Kan (S.E.); and the Department of Statistics, Kansas State University (D.J.), Manhattan Kan.
  • Susan Embretson
    From the Center on Aging (P.W.D., D.W., S.M.L.), and the Department of Preventative Medicine (D.W., S.M.L.), University of Kansas Medical Center, Kansas City, Kan; the Department of Veterans Affairs Medical Center, Kansas City, Mo (P.W.D., L.J.L.); the Department of Health Policy and Management (P.W.D.) University of Kansas, Overland Park, Kan; the Department of Psychology, University of Kansas, Lawrence, Kan (S.E.); and the Department of Statistics, Kansas State University (D.J.), Manhattan Kan.
  • Louise Jacobs Laster
    From the Center on Aging (P.W.D., D.W., S.M.L.), and the Department of Preventative Medicine (D.W., S.M.L.), University of Kansas Medical Center, Kansas City, Kan; the Department of Veterans Affairs Medical Center, Kansas City, Mo (P.W.D., L.J.L.); the Department of Health Policy and Management (P.W.D.) University of Kansas, Overland Park, Kan; the Department of Psychology, University of Kansas, Lawrence, Kan (S.E.); and the Department of Statistics, Kansas State University (D.J.), Manhattan Kan.

書誌事項

タイトル別名
  • Evaluation of Reliability, Validity, and Sensitivity to Change
公開日
1999-10
DOI
  • 10.1161/01.str.30.10.2131
公開者
Ovid Technologies (Wolters Kluwer Health)

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説明

<jats:p> <jats:italic>Background and Purpose</jats:italic> —To be useful for clinical research, an outcome measure must be feasible to administer and have sound psychometric attributes, including reliability, validity, and sensitivity to change. This study characterizes the psychometric properties of the Stroke Impact Scale (SIS) Version 2.0. </jats:p> <jats:p> <jats:italic>Methods</jats:italic> —Version 2.0 of the SIS is a self-report measure that includes 64 items and assesses 8 domains (strength, hand function, ADL/IADL, mobility, communication, emotion, memory and thinking, and participation). Subjects with mild and moderate strokes completed the SIS at 1 month (n=91), at 3 months (n=80), and at 6 months after stroke (n=69). Twenty-five subjects had a replicate administration of the SIS 1 week after the 3-month or 6-month test. We evaluated internal consistency and test-retest reliability. The validity of the SIS domains was examined by comparing the SIS to existing stroke measures and by comparing differences in SIS scores across Rankin scale levels. The mixed model procedure was used to evaluate responsiveness of the SIS domain scores to change. </jats:p> <jats:p> <jats:italic>Results</jats:italic> —Each of the 8 domains met or approached the standard of 0.9 α-coefficient for comparing the same patients across time. The intraclass correlation coefficients for test-retest reliability of SIS domains ranged from 0.70 to 0.92, except for the emotion domain (0.57). When the domains were compared with established outcome measures, the correlations were moderate to strong (0.44 to 0.84). The participation domain was most strongly associated with SF-36 social role function. SIS domain scores discriminated across 4 Rankin levels. SIS domains are responsive to change due to ongoing recovery. Responsiveness to change is affected by stroke severity and time since stroke. </jats:p> <jats:p> <jats:italic>Conclusions</jats:italic> —This new, stroke-specific outcome measure is reliable, valid, and sensitive to change. We are optimistic about the utility of measure. More studies are required to evaluate the SIS in larger and more heterogeneous populations and to evaluate the feasibility and validity of proxy responses for the most severely impaired patients. </jats:p>

収録刊行物

  • Stroke

    Stroke 30 (10), 2131-2140, 1999-10

    Ovid Technologies (Wolters Kluwer Health)

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