{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,17]],"date-time":"2026-03-17T16:17:00Z","timestamp":1773764220566,"version":"3.50.1"},"reference-count":16,"publisher":"Oxford University Press (OUP)","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2015,6,1]]},"abstract":"<jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>In the original and modified Dynamic Gait Index (mDGI), 8 tasks are used to measure mobility; however, disagreement exists regarding whether all tasks are necessary. The relationship between mDGI scores and Centers for Medicare &amp; Medicaid Services (CMS) severity indicators in the mobility domain has not been explored.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>The study objectives were to examine the relationship between medical diagnoses and mDGI scores, to determine whether administration of the mDGI can be shortened on the basis of expected diagnostic patterns of performance, and to create a model in which mDGI scores are mapped to CMS severity modifiers.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Design<\/jats:title>\n                  <jats:p>This was a cross-sectional, descriptive study.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>The 794 participants included 140 people without impairments (control cohort) and 239 people with stroke, 140 with vestibular dysfunction, 100 with traumatic brain injury, 91 with gait abnormality, and 84 with Parkinson disease. Scores on the mDGI (total, performance facet, and task) for the control cohort were compared with those for the 5 diagnostic groups by use of an analysis of variance. For mapping mDGI scores to 7 CMS impairment categories, an underlying Rasch scale was used to convert raw scores to an interval scale.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>There was a main effect of mDGI total, time, and gait pattern scores for the groups. Task-specific score patterns based on medical diagnosis were found, but the range of performance within each group was large. A framework for mapping mDGI total, performance facet, and task scores to 7 CMS impairment categories on the basis of Rasch analysis was created.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Limitations<\/jats:title>\n                  <jats:p>Limitations included uneven sample sizes in the 6 groups.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>Results supported retaining all 8 tasks for the assessment of mobility function in older people and people with neurologic conditions. Mapping mDGI scores to CMS severity indicators should assist clinicians in interpreting mobility performance, including changes in function over time.<\/jats:p>\n               <\/jats:sec>","DOI":"10.2522\/ptj.20140297","type":"journal-article","created":{"date-parts":[[2014,12,5]],"date-time":"2014-12-05T06:29:10Z","timestamp":1417760950000},"page":"854-863","source":"Crossref","is-referenced-by-count":6,"title":["Examining the Relationship Between Medical Diagnoses and Patterns of Performance on the Modified Dynamic Gait Index"],"prefix":"10.1093","volume":"95","author":[{"given":"Patricia Noritake","family":"Matsuda","sequence":"first","affiliation":[{"name":"P.N. Matsuda, PT, PhD, DPT, Department of Rehabilitation Medicine, Division of Physical Therapy, University of Washington, 1959 NE Pacific St, Box 356490, Seattle, WA 98195 (USA)."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Catherine","family":"Taylor","sequence":"additional","affiliation":[{"name":"C. Taylor, PhD, Measurement, Statistics, and Research Design, College of Education, University of Washington."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anne","family":"Shumway-Cook","sequence":"additional","affiliation":[{"name":"A. Shumway-Cook, PT, PhD, FAPTA, Department of Rehabilitation Medicine, Division of Physical Therapy, University of Washington."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","reference":[{"key":"2019123006575677100_B1","volume-title":"Motor Control: Translating Research Into Clinical Practice","author":"Shumway-Cook","year":"2011","edition":"4th ed"},{"key":"2019123006575677100_B2","doi-asserted-by":"crossref","first-page":"1493","DOI":"10.2522\/ptj.20130035","article-title":"Expanding the scoring system for the Dynamic Gait Index","volume":"93","author":"Shumway-Cook","year":"2013","journal-title":"Phys Ther"},{"key":"2019123006575677100_B3","doi-asserted-by":"crossref","first-page":"996","DOI":"10.2522\/ptj.20130294","article-title":"Evidence for the validity of the modified Dynamic Gait Index across diagnostic groups","volume":"94","author":"Matsuda","year":"2014","journal-title":"Phys Ther"},{"key":"2019123006575677100_B4","doi-asserted-by":"crossref","first-page":"1651","DOI":"10.2522\/ptj.20050402","article-title":"Construction and validation of the 4-item Dynamic Gait Index","volume":"86","author":"Marchetti","year":"2006","journal-title":"Phys Ther"},{"key":"2019123006575677100_B5","doi-asserted-by":"crossref","first-page":"1528","DOI":"10.1016\/S0003-9993(03)00274-0","article-title":"Reliability of the Dynamic Gait Index in people with vestibular disorders","volume":"84","author":"Wrisley","year":"2003","journal-title":"Arch Phys Med Rehabil"},{"key":"2019123006575677100_B6","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.3109\/09638288.2010.520803","article-title":"Understanding physical factors associated with participation in community walking following stroke","volume":"33","author":"Robinson","year":"2011","journal-title":"Disabil Rehabil"},{"key":"2019123006575677100_B7","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1111\/j.1532-5415.2006.00962.x","article-title":"Age-associated declines in complex walking task performance: the Walking InCHIANTI Toolkit","volume":"55","author":"Shumway-Cook","year":"2007","journal-title":"J Am Geriatr Soc"},{"key":"2019123006575677100_B8","doi-asserted-by":"crossref","first-page":"1001","DOI":"10.1002\/mds.22480","article-title":"Impairments of speed and amplitude of movement in Parkinson's disease: a pilot study","volume":"24","author":"Espay","year":"2009","journal-title":"Mov Disord"},{"key":"2019123006575677100_B9","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1097\/NPT.0b013e3181d070fe","article-title":"Effects of medication on turning deficits in individuals with Parkinson's disease","volume":"34","author":"Hong","year":"2010","journal-title":"J Neurol Phys Ther"},{"key":"2019123006575677100_B10","doi-asserted-by":"crossref","first-page":"391","DOI":"10.1046\/j.1468-1331.2003.00611.x","article-title":"Characterization of freezing of gait subtypes and the response of each to levodopa in Parkinson's disease","volume":"10","author":"Schaafsma","year":"2003","journal-title":"Eur J Neurol"},{"key":"2019123006575677100_B11","doi-asserted-by":"crossref","first-page":"788","DOI":"10.3109\/09638288.2011.619624","article-title":"Associations among self-reported balance problems, post-concussion symptoms and performance-based tests: a longitudinal follow-up study","volume":"34","author":"Kleffelgaard","year":"2012","journal-title":"Disabil Rehabil"},{"key":"2019123006575677100_B12","article-title":"Preparing for therapy required functional reporting implementation in CY 2013: national provider call","volume-title":"Center for Hospital and Ambulatory Payment Group DoPS","author":"West","year":"2012"},{"key":"2019123006575677100_B13","volume-title":"Foundations of Clinical Research: Applications to Practice","author":"Portney","year":"2008","edition":"3rd ed"},{"key":"2019123006575677100_B14","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1007\/BF02296272","article-title":"A Rasch model for partial credit scoring","volume":"47","author":"Masters","year":"1982","journal-title":"Psychometrika"},{"key":"2019123006575677100_B15","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1007\/BF02293814","article-title":"A rating formulation for ordered response categories","volume":"43","author":"Andrich","year":"1978","journal-title":"Psychometrika"},{"key":"2019123006575677100_B16","unstructured":"Mediware Claims-Based Outcomes Reporting (CBOR) G-Code Conversion Calculator. 2013. 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