Development and testing of the Gait Assessment and Intervention Tool (G.A.I.T.): A measure of coordinated gait components
Open accessAbstract
Recent neuroscience methods have provided the basis upon which to develop effective gait training methods for recovery of the coordinated components of gait after neural injury. We determined that there was not an existing observational measure that was, at once, adequately comprehensive, scored in an objectively-based manner, and capable of assessing incremental improvements in the coordinated components of gait. Therefore, the purpose of this work was to use content valid procedures in order to develop a relatively inexpensive, more comprehensive measure, scored with an objectively-based system, capable of incrementally scoring improvements in given items, and that was both reliable and capable of discriminating treatment response for those who had a stroke. Eight neurorehabilitation specialists developed criteria for the gait measure, item content, and scoring method. In subjects following stroke (>12 months), the new measure was tested for intra- and inter-rater reliability using the Intraclass Correlation Coefficient; capability to detect treatment response using Wilcoxon Signed Ranks Test; and discrimination between treatment groups, using the Plum Ordinal Regression. The Gait Assessment and Intervention Tool (G.A.I.T.) is a 31-item measure of the coordinated movement components of gait and associated gait deficits. It exhibited the following advantages: comprehensive, objective-based scoring method, incremental measurement of improvement within given items. The G.A.I.T. had good intra- and inter-rater reliability (ICC=.98, p=.0001, 95% CI=.95, .99; ICC=.83, p=.007, 95% CI=.32, .96, respectively. The inexperienced clinician who had training, had an inter-rater reliability with an experienced rater of ICC=.99 (p=.0001, CI=.97, .999). The G.A.I.T. detected improvement in response to gait training for two types of interventions: comprehensive gait training (z=-2.93, p=.003); and comprehensive gait training plus functional electrical stimulation (FES; z=-3.3, p=.001). The G.A.I.T. was capable of discriminating between two gait training interventions, showing an additive advantage of FES to otherwise comparable comprehensive gait training (parameter estimate=1.72, p=.021; CI, .25, 3.1).
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Cites
Foundations of Clinical Research: Applications to Practice,
(2002) · Survey of Ophthalmology · doi:10.1016/s0039-6257(02)00362-4 · Cited by 9,485 · see citing works
Performance‐Oriented Assessment of Mobility Problems in Elderly Patients
Tinetti, M. E. (1986) · Journal of the American Geriatrics Society · doi:10.1111/j.1532-5415.1986.tb05480.x · Cited by 3,352 · see citing works
Measurement of lower extremity kinematics during level walking
Kadaba, M. P., Ramakrishnan, H. K., & Wootten, M. E. (1990) · Journal of Orthopaedic Research · doi:10.1002/jor.1100080310 · Cited by 3,216 · see citing works
Increased Cortical Representation of the Fingers of the Left Hand in String Players
Elbert, T. R., Pantev, C., Wienbruch, C., Rockstroh, B. S., & Taub, E. (1995) · Science · doi:10.1126/science.270.5234.305 · Cited by 2,053 · see citing works
The biomechanics and motor control of human gait : normal, elderly and pathological
Winter, D. A. (1991) · University of Waterloo Press eBooks · Cited by 1,428 · see citing works
Bütefisch, C. M., Hummelsheim, H., Denzler, P., & Mauritz, K.-H. (1995) · Journal of the Neurological Sciences · doi:10.1016/0022-510x(95)00003-k · Cited by 841 · see citing works
The biomechanics and motor control of human gait
Winter, D. A. (1987) · University of Waterloo Press eBooks · Cited by 764 · see citing works
Plasticity of the sensorimotor cortex representation of the reading finger in Braille readers
Pascual‐Leone, Á., & Torres, F. (1993) · Brain · doi:10.1093/brain/116.1.39 · Cited by 654 · see citing works
Plautz, E. J., Milliken, G. W., & Nudo, R. J. (2000) · Neurobiology of Learning and Memory · doi:10.1006/nlme.1999.3934 · Cited by 652 · see citing works
Biernaskie, J. A., & Corbett, D. (2001) · Journal of Neuroscience · doi:10.1523/jneurosci.21-14-05272.2001 · Cited by 608 · see citing works
Ziemann, U., Ilic, T. V., Pauli, C., Meintzschel, F., & Ruge, D. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.5016-03.2004 · Cited by 587 · see citing works
Task-Related Training Improves Performance of Seated Reaching Tasks After Stroke
Dean, C. M., & Shepherd, R. B. (1997) · Stroke · doi:10.1161/01.str.28.4.722 · Cited by 415 · see citing works
Kinesiology of the Musculoskeletal System
Neumann, D. A. (2002) · Cited by 397 · see citing works
Jones, T. A., Chu, C. J., Grande, L. A., & Gregory, A. D. (1999) · Journal of Neuroscience · doi:10.1523/jneurosci.19-22-10153.1999 · Cited by 377 · see citing works
Mechanisms for recovery of motor function following cortical damage
Nudo, R. J. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.10.004 · Cited by 332 · see citing works
Visual gait analysis: the development of a clinical assessment and scale
Lord, S. E., Halligan, P. W., & Wade, D. T. (1998) · Clinical Rehabilitation · doi:10.1191/026921598666182531 · Cited by 198 · see citing works
Reliability of videotaped observational gait analysis in patients with orthopedic impairments
Brunnekreef, J. J., van Uden, C. J. T., van Moorsel, S., & Kooloos, J. G. M. (2005) · BMC Musculoskeletal Disorders · doi:10.1186/1471-2474-6-17 · Cited by 196 · see citing works
Motor cortex plasticity during forced-use therapy in stroke patients: a preliminary study
Liepert, J., Uhde, I., Gräf, S., Leidner, O., & Weiller, C. (2001) · Journal of Neurology · doi:10.1007/s004150170207 · Cited by 187 · see citing works
Daly, J. J., & Ruff, R. L. (2007) · The Scientific World JOURNAL · doi:10.1100/tsw.2007.299 · Cited by 155 · see citing works
Self-citationHarris, G. F., & Wertsch, J. J. (1994) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/0003-9993(94)90399-9 · Cited by 151 · see citing works
To Be Aware or Not Aware? What to Think about while Learning and Performing a Motor Skill
Singer, R. N., Lidor, R., & Cauraugh, J. H. (1993) · The Sport Psychologist · doi:10.1123/tsp.7.1.19 · Cited by 149 · see citing works
Observation and analysis of hemiplegic gait: swing phase
Moore, S., Schurr, K., Wales, A., et al. (1993) · Australian Journal of Physiotherapy · doi:10.1016/s0004-9514(14)60487-6 · Cited by 145 · see citing works
A Randomized Controlled Trial of Functional Neuromuscular Stimulation in Chronic Stroke Subjects
Daly, J. J., Roenigk, K. L., John Holcomb, P., Rogers, J. M., Butler, K., Gansen, J. L., McCabe, J., Fredrickson, E., Marsolais, E. B., & Ruff, R. L. (2005) · Stroke · doi:10.1161/01.str.0000195129.95220.77 · Cited by 133 · see citing works
Self-citationGait training efficacy using a home-based practice model in chronic hemiplegia
Rodriquez, A. A., Black, P. O., Kile, K. A., et al. (1996) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/s0003-9993(96)90260-9 · Cited by 130 · see citing works
McGinley, J. L., Goldie, P. A., Greenwood, K. M., & Olney, S. J. (2003) · Physical Therapy · doi:10.1093/ptj/83.2.146 · Cited by 116 · see citing works
VanSwearingen, J. M., Paschal, K. A., Bonino, P., et al. (1996) · Physical Therapy · doi:10.1093/ptj/76.9.994 · Cited by 114 · see citing works
Observation and analysis of hemiplegic gait: stance phase
Moseley, A. M., Wales, A., Herbert, R., et al. (1993) · Australian Journal of Physiotherapy · doi:10.1016/s0004-9514(14)60486-4 · Cited by 110 · see citing works
The forces and couples in the human trunk during level walking
Cappozzo, A. (1983) · Journal of Biomechanics · doi:10.1016/0021-9290(83)90134-3 · Cited by 92 · see citing works
Chu, C. J., & Jones, T. A. (2000) · Experimental Neurology · doi:10.1006/exnr.2000.7509 · Cited by 77 · see citing works
Kirtley, C. (2006) · Elsevier eBooks · doi:10.1016/b978-0-443-10009-3.50019-9 · Cited by 66 · see citing works
Pendular activity of human upper limbs during slow and normal walking
Webb, D., Tuttle, R. H., & Baksh, M. (1994) · American Journal of Physical Anthropology · doi:10.1002/ajpa.1330930407 · Cited by 65 · see citing works
Intra-limb coordination deficit in stroke survivors and response to treatment
Daly, J. J., Sng, K., Roenigk, K. L., et al. (2006) · Gait & Posture · doi:10.1016/j.gaitpost.2006.05.007 · Cited by 49 · see citing works
Self-citationAssessment of hemiplegic gait using the Wisconsin Gait Scale
Turani, N., Kemiksizoğlu, A., Karataş, M., et al. (2004) · Scandinavian Journal of Caring Sciences · doi:10.1111/j.1471-6712.2004.00262.x · Cited by 47 · see citing works
Effects of arm position on parameters of normal gait in older persons
Sigg, J. A., Ives, J. C., Gaba, B. C., et al. (1997) · Digital Collections - Ithaca College Library (Ithaca College) · Cited by 4 · see citing works
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Walking naturally after spinal cord injury using a brain–spine interface
Lorach, H., Galvez, A., Spagnolo, V., Martel, F., Karakas, S., Intering, N., Vat, M., Faivre, O., Harte, C., Komi, S., et al. (2023) · Nature · doi:10.1038/s41586-023-06094-5 · Cited by 631 · see citing works
“…exhibited improvements in all the conventional clinical assessments, such as the six-minute walk test, weight-bearing capacities, timed up and go, Berg Balance Scale and walking quality assessed using the observational gait analysis scale 28 by physiotherapists blinded to the study (Fig.”
MethodFernández-González, P., Koutsou, A., Cuesta-Gómez, A., Carratalá-Tejada, M., Miangolarra-Page, J. C., & Molina-Rueda, F. (2020) · Sensors · doi:10.3390/s20113154 · Cited by 185 · see citing works
Reliability and applicability of a low-cost, camera-based gait evaluation method for clinical use
Spanos, S., Kanellopoulos, A., Petropoulakos, K., Dimitriadis, Z., Siasios, I., & Poulis, I. (2023) · Expert Review of Medical Devices · doi:10.1080/17434440.2023.2171289 · Cited by 15 · see citing works
- Authors
- Daly, J. J., Nethery, J., McCabe, J. P., Brenner, I., Rogers, J., Gansen, J., Butler, K., Burdsall, R., Roenigk, K., & Holcomb, J.
- Affiliations
- Louis Stokes Cleveland VA Medical Center (US)
- Cleveland State University (US)
- Corresponding author
- Daly, J.J.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2009-04
- Volume
- 178
- Issue
- 2
- Pages
- 334-339
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W1975430804
- Cited by
- 90
- References
- 34
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 3 · 2023: 12 · 2022: 8 · 2021: 10 · 2020: 9 · 2019: 7 · 2018: 2 · 2017: 3 · 2016: 3 · 2015: 5 · 2014: 1 · 2013: 3
- FWCI
- 1.07
- Type
- journal article
- Language
- en
- Open access
- Licence
- Locations
- Journal of Neuroscience Methods (publishedVersion)
- PubMed (publishedVersion)
- EngagedScholarship @ Cleveland State University (Cleveland State University) (submittedVersion, cc-by-nc-nd)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Social Sciences › Education › Health Education and Validation
- Keywords
- gait analysis, gait coordination, stroke, gait training, functional electrical stimulation, neurorehabilitation, rating scale development, inter-rater reliability, treatment response, gait deficits
- MeSH terms
- Biomechanical Phenomena, Electric Stimulation Therapy, Gait, Humans, Leg, Movement Disorders, Severity of Illness Index, Reproducibility of Results, Stroke
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