Literature DB >> 14669198

The status of gait assessment among physiotherapists in the United Kingdom.

Brigitte Toro1, Chris J Nester, Pauline C Farren.   

Abstract

OBJECTIVES: To evaluate how physiotherapists are trained in and use clinically orientated gait assessment tools and instrumented gait analysis, and to identify if a need exists for a standardized methodology.
DESIGN: Survey.
SETTING: UK National Health Service. PARTICIPANTS: Physiotherapists working with a variety of patient groups in 210 randomly selected Health Care Trusts.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: Amount of gait assessment training, frequency of gait laboratory use, types and frequency of standardized gait assessment tools used, and expressed need for a gait assessment tool in clinical practice.
RESULTS: A total of 1826 (43.5%) physiotherapists responded. Management of abnormal gait constituted a major aspect of physiotherapy practice; yet, there was no systematic use of standardized gait assessment tools. Gait video images were typically collected and analyzed without the use of standardized protocols. Only 23.1% of all respondents had a patient assessed in a gait laboratory. Clinicians indicated that they need training in gait assessment (66.4%) and desire guidance at a national level. Exactly 91.8% of physiotherapists requested a new gait assessment tool that can be used easily and quickly within a busy schedule without compromising reliability and validity.
CONCLUSIONS: Gait assessment plays a pivotal role for physiotherapists managing gait problems. The challenge for developers of gait assessment tools is to find a balance between the practicalities of use and scientific merit.

Entities:  

Mesh:

Year:  2003        PMID: 14669198     DOI: 10.1016/s0003-9993(03)00482-9

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  5 in total

1.  Midfoot and ankle motion during heel rise and gait are related in people with diabetes and peripheral neuropathy.

Authors:  Hyo-Jung Jeong; Michael J Mueller; Jennifer A Zellers; Mary K Hastings
Journal:  Gait Posture       Date:  2020-11-16       Impact factor: 2.840

2.  Visualisation to enhance biomechanical tuning of ankle-foot orthoses (AFOs) in stroke: study protocol for a randomised controlled trial.

Authors:  Bruce Carse; Roy J Bowers; Barry C Meadows; Philip J Rowe
Journal:  Trials       Date:  2011-12-05       Impact factor: 2.279

3.  Automated extraction and validation of children's gait parameters with the Kinect.

Authors:  Saeid Motiian; Paola Pergami; Keegan Guffey; Corrie A Mancinelli; Gianfranco Doretto
Journal:  Biomed Eng Online       Date:  2015-12-02       Impact factor: 2.819

4.  Single Sensor Gait Analysis to Detect Diabetic Peripheral Neuropathy: A Proof of Principle Study.

Authors:  Patrick Esser; Johnny Collett; Kevin Maynard; Dax Steins; Angela Hillier; Jodie Buckingham; Garry D Tan; Laurie King; Helen Dawes
Journal:  Diabetes Metab J       Date:  2018-02       Impact factor: 5.376

5.  Interrater and intrarater reliability and minimal detectable change of the Wisconsin Gait Scale when used to examine videotaped gait in individuals post-stroke.

Authors:  Robert Wellmon; Amy Degano; Joseph A Rubertone; Sandra Campbell; Kelly A Russo
Journal:  Arch Physiother       Date:  2015-10-05
  5 in total

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