Expanding the Scoring System for the Dynamic Gait Index.
Background. The Dynamic Gait Index (DGI) measures the capacity to adapt gait to complex tasks. The current scoring system combining gait pattern (GP) and level of assistance (LOA) lacks clarity, and the test has a limited range of measurement. Objective. This study developed a new scoring system bas...
| Publicado en: | Physical Therapy Vol. 93; no. 11; pp. 1493 - 1507 |
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| Autores principales: | , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Oxford University Press / USA
Nov2013
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104156560&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104156560 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00319023 PTH jtl: Physical Therapy issn: 00319023 maglogo: N pubinfo: dt: Nov2013 vid: 93 iid: 11 pid: 10398 pub: Oxford University Press / USA artinfo: ui: 104156560 91843984 10.2522/ptj.20130035 NLM23813090 104156560 ppf: 1493 ppct: 14 formats: fmt: @attributes: type: P tig: atl: Expanding the Scoring System for the Dynamic Gait Index. aug: au: Shumway-Cook, Anne Taylor, Catherine S. Matsuda, Patricia Noritake Studer, Michael T. Whetten, Brady K. affil: Department of Rehabilitation Medicine, Division of Physical Therapy, University of Washington, 1959 NE Pacific St, Box 356490, Seattle, WA 98195 (USA) sug: subj: Instrument Validation Clinical Assessment Tools Evaluation Gait Analysis Gait Disorders, Neurologic Diagnosis Psychometrics Clinical Assessment Tools Scales Cross Sectional Studies Descriptive Research kappa Statistic Internal Consistency Coefficient alpha Rasch Analysis Interrater Reliability T-Tests Test-Retest Reliability Effect Size Sample Size Convenience Sample Factor Analysis Adolescence Adult Middle Age Aged Aged, 80 and Over Female Male Human Funding Source Adolescent: 13-18 years Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Female Male ab: Background. The Dynamic Gait Index (DGI) measures the capacity to adapt gait to complex tasks. The current scoring system combining gait pattern (GP) and level of assistance (LOA) lacks clarity, and the test has a limited range of measurement. Objective. This study developed a new scoring system based on 3 facets of performance (LOA, GP, and time) and examined the psychometric properties of the modified DGI (mDGI). Design. A cross-sectional, descriptive study was conducted. Methods. Nine hundred ninety-five participants (855 patients with neurologic pathology and mobility impairments [MI group] and 140 patients without neurological impairment [control group]) were tested. Interrater reliability was calculated using kappa coefficients. Internal consistency was computed using the Cronbach alpha coefficient. Factor analysis and Rasch analysis investigated unidimensionality and range of difficulty. Internal validity was determined by comparing groups using multiple t tests. Minimal detectable change (MDC) was calculated for total score and 3 facet scores using the reliability estimate for the alpha coefficients. Results. Interrater agreement was strong, with kappa coefficients ranging from 90% to 98% for time scores, 59% to 88% for GP scores, and 84% to 100% for LOA scores. Test-retest correlations (r) for time, GP, and LOA were .91, .91, and .87, respectively. Three factors (time, LOA, GP) had eigenvalues greater than 1.3 and explained 79% of the variance in scores. All group differences were significant, with moderate to large effect sizes. The 95% minimal detectable change (MDC95) was 4 for the mDGI total score, 2 for the time and GP total scores, and 1 for the LOA total score. Limitations. The limitations included uneven sample sizes in the 2 groups. The MI group were patients receiving physical therapy; therefore, they may not be representative of this population. Conclusions. The mDGI, with its expanded scoring system, improves the range, discrimination, and facets of measurement related to walking function. The strength of the psychometric properties of the mDGI warrants its adoption for both clinical and research purposes. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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