Clinical Efficacy of a 3D Foot Scanner for the Therapeutic Footwear Fitting
NCT ID: NCT05353114
Last Updated: 2022-11-04
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
30 participants
INTERVENTIONAL
2022-06-15
2022-07-15
Brief Summary
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The aims of study were to evaluate the ability of high-risk patients with diabetes in remission to select the proper therapeutic footwear and to validate a novel 3D foot scanner app for selecting the proper fitting therapeutic footwear.
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Detailed Description
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After parallel randomization (1:1) patients will be enrolled into two different groups:
1. Patients that will acquire the therapeutic footwear size and model according to aesthetic preferences;
2. Patients that will acquire a specific size and model according to result of a novel mobile app 3D feet scan (smart-fitting by Podiapp - Podartis s.r.l Unipersonale-Crocceta del Montello (TV), Italy).
Validation of proper therapeutic footwear fitting will be performed by a specialized podiatrist after acquisition of shoes in both groups.
Therapeutic Footwear will be recommended to change when following ill fitting reason been found: excessive length or tight, or compromise with toes
Conditions
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Study Design
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RANDOMIZED
PARALLEL
PREVENTION
NONE
Study Groups
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Standard Therapeutic Footwear prescription group
1\) Patients that will acquire the therapeutic footwear size and model according to aesthetic preferences
No interventions assigned to this group
Therapeutic Footwear prescription based on a 3D Foot scanner
2\) Patients that will acquire a specific size and model according to result of a novel mobile app 3D feet scan (smart-fitting by Podiapp - Podartis s.r.l Unipersonale-Crocceta del Montello (TV), Italy).
3D feet scan (smart-fitting by Podiapp - Podartis s.r.l Unipersonale-Crocceta del Montello (TV), Italy).
The 3D foot scan becomes a movile app that recommends a specific size and model of therapeutic footwear according to the measurements
Interventions
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3D feet scan (smart-fitting by Podiapp - Podartis s.r.l Unipersonale-Crocceta del Montello (TV), Italy).
The 3D foot scan becomes a movile app that recommends a specific size and model of therapeutic footwear according to the measurements
Eligibility Criteria
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Inclusion Criteria
* Healed diabetic foot ulcer at the moment of inclusion.
* Capability to walk autonomously without walking aids.
* Diabetic Peripheral neuropathy.
Exclusion Criteria
18 Years
ALL
No
Sponsors
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Universidad Complutense de Madrid
OTHER
Responsible Party
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Jose Luis Lazaro Martinez
Prof. Dr
Locations
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Clínica Universitaria de Podología de la Universidad Complutense de Madrid
Madrid, , Spain
Countries
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Other Identifiers
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CT-042022
Identifier Type: -
Identifier Source: org_study_id
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