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Custom‐made foot orthoses: an analysis of prescription characteristics from an Australian commercial orthotic laboratory

Overview of attention for article published in Journal of Foot and Ankle Research, June 2017
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Title
Custom‐made foot orthoses: an analysis of prescription characteristics from an Australian commercial orthotic laboratory
Published in
Journal of Foot and Ankle Research, June 2017
DOI 10.1186/s13047-017-0204-7
Pubmed ID
Authors

Hylton B. Menz, Jamie J. Allan, Daniel R. Bonanno, Karl B. Landorf, George S. Murley

Abstract

Foot orthoses are widely used in the prevention and treatment of foot disorders. The aim of this study was to describe characteristics of custom-made foot orthosis prescriptions from a Australian podiatric orthotic laboratory. One thousand consecutive foot orthosis prescription forms were obtained from a commercial prescription foot orthosis laboratory located in Melbourne, Victoria, Australia (Footwork Podiatric Laboratory). Each item from the prescription form was documented in relation to orthosis type, cast correction, arch fill technique, cast modifications, shell material, shell modifications and cover material. Cluster analysis and discriminant function analysis were applied to identify patterns in the prescription data. Prescriptions were obtained from 178 clinical practices across Australia and Hong Kong, with patients ranging in age from 5 to 92 years. Three broad categories ('clusters') were observed that were indicative of increasing 'control' of rearfoot pronation. A combination of five variables (rearfoot cast correction, cover shape, orthosis type, forefoot cast correction and plantar fascial accommodation) was able to identify these clusters with an accuracy of 70%. Significant differences between clusters were observed in relation to age and sex of the patient and the geographic location of the prescribing clinician. Foot orthosis prescriptions are complex, but can be broadly classified into three categories. Selection of these prescription subtypes appears to be influenced by both patient factors (age and sex) and clinician factors (clinic location).

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The data shown below were compiled from readership statistics for 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 27 26%
Student > Master 20 20%
Student > Ph. D. Student 10 10%
Researcher 6 6%
Other 5 5%
Other 15 15%
Unknown 19 19%
Readers by discipline Count As %
Medicine and Dentistry 30 29%
Nursing and Health Professions 22 22%
Engineering 11 11%
Sports and Recreations 8 8%
Design 2 2%
Other 7 7%
Unknown 22 22%