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Modelling and AI Using Sensor Data to Personalise REHABilitation Following Joint Replacement

NCT04289025 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 46

Last updated 2022-04-04

No results posted yet for this study

Summary

This study aims to determine a volunteer's gait objectively after surgery, when signed off from the consultant and physiotherapist. This will identify any gait deficiencies using simple traffic light coding, using GaitSmart, a CE Marked Class 1M Medical Device. Volunteers chosen for the intervention programme, a set of exercises to improve gait deficiencies identified in the report. All the exercises will be standard one already used within the NHS. The objectives are to compare the outcomes from the intervention group with the Standard of Care group, in terms of gait and PROMS and from this determine the clinical and economic benefits of the intervention.

Conditions

  • Arthroplasty Complications

Interventions

OTHER

Exercise

A set of exercises are provided to each patient.

Sponsors & Collaborators

  • Dynamic Metrics Ltd

    collaborator INDUSTRY

  • University of East Anglia

    collaborator OTHER

  • Norfolk and Norwich University Hospitals NHS Foundation Trust

    lead OTHER

Principal Investigators

  • Iain McNamara, MD · Clinical Research and Trials Unit (Norfolk and Norwich University Hospital, UK)

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
NONE
Model
PARALLEL

Eligibility

Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2020-09-23
Primary Completion
2021-12-09
Completion
2022-02-24

Countries

  • United Kingdom

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT04289025 on ClinicalTrials.gov