Real time non-instrumented clinical gait analysis as part of a clinical musculoskeletal assessment in the treatment of lower limb symptoms in adults: A systematic review
Real time non-instrumented clinical gait analysis as part of a clinical musculoskeletal assessment in the treatment of lower limb symptoms in adults: A systematic review
Background:
The aim of this review was to evaluate and summarise the current evidence on non-computerised or non-recorded real time adult gait assessment conducted within the clinical musculoskeletal setting. It was hoped a protocol for best practice and a framework for further research could be developed from this search.
Research question:
Can a protocol for best practice and a framework for further research be established from previous literature relating to non-computerised or non-recorded real time adult gait analysis in a musculoskeletal clinical setting.
Methods:
A literature review with no limitation on date of publication was conducted on the 18th February 2017.
Results:
The review found no significantly informative papers relating to the search
Significance:
The lack of research on the accuracy, reliability and therefore worth of this highly recommended area of musculoskeletal assessment raises concerns over current assessment and treatment pathways. Further work to develop a method by which gait analysis can be routinely employed in musculoskeletal clinics as a diagnostic tool is required, with any new approach undertaking robust methodological testing.
135-139
Harradine, Paul
da3e2326-1b7e-4e40-a43e-ea806a80a99d
Gates, Lucy
bc67b8b8-110b-4358-8e1b-6f1d345bd503
Bowen, Catherine
fd85c3c5-96d9-49b8-86c6-caa94e1a222b
May 2018
Harradine, Paul
da3e2326-1b7e-4e40-a43e-ea806a80a99d
Gates, Lucy
bc67b8b8-110b-4358-8e1b-6f1d345bd503
Bowen, Catherine
fd85c3c5-96d9-49b8-86c6-caa94e1a222b
Harradine, Paul, Gates, Lucy and Bowen, Catherine
(2018)
Real time non-instrumented clinical gait analysis as part of a clinical musculoskeletal assessment in the treatment of lower limb symptoms in adults: A systematic review.
Gait & Posture, 62, .
(doi:10.1016/j.gaitpost.2018.03.012).
Abstract
Background:
The aim of this review was to evaluate and summarise the current evidence on non-computerised or non-recorded real time adult gait assessment conducted within the clinical musculoskeletal setting. It was hoped a protocol for best practice and a framework for further research could be developed from this search.
Research question:
Can a protocol for best practice and a framework for further research be established from previous literature relating to non-computerised or non-recorded real time adult gait analysis in a musculoskeletal clinical setting.
Methods:
A literature review with no limitation on date of publication was conducted on the 18th February 2017.
Results:
The review found no significantly informative papers relating to the search
Significance:
The lack of research on the accuracy, reliability and therefore worth of this highly recommended area of musculoskeletal assessment raises concerns over current assessment and treatment pathways. Further work to develop a method by which gait analysis can be routinely employed in musculoskeletal clinics as a diagnostic tool is required, with any new approach undertaking robust methodological testing.
Text
Real time non-instrumented clinical gait analysis as part of a clinical musculoskeletal assessment in the treatment of lower limb symptoms in adults: A systematic review
- Accepted Manuscript
More information
Accepted/In Press date: 5 March 2018
e-pub ahead of print date: 8 March 2018
Published date: May 2018
Identifiers
Local EPrints ID: 419223
URI: http://eprints.soton.ac.uk/id/eprint/419223
ISSN: 0966-6362
PURE UUID: 11eea584-8a08-4530-b896-5ea6078bf25a
Catalogue record
Date deposited: 09 Apr 2018 16:30
Last modified: 16 Mar 2024 06:25
Export record
Altmetrics
Contributors
Author:
Paul Harradine
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics