The Effect of Augmented Reality Based Telerehabilitation Application on Neuromuscular and Sensorimotor Parameters in Multiple Sclerosis Patients

NCT05639517 | Unknown

• 1 other identifier: 2022-985
• Study Type: interventional
• Target: 30
• Locations: 0 countries
• Sites: N/A

Brief Summary

Core stability, which is affected from the early period in with patients Multiple Sclerosis (PwMS), is due to deterioration in the somatosensory, motor and musculoskeletal systems. Based on the knowledge that core stability is effective on many functions, it is seen that trunk stabilization exercises are included in the physiotherapy and rehabilitation programs of patients. However, the effectiveness of augmented reality-based telerehabilitation application, which includes trunk stabilization training in PwMS, has not been adequately investigated in the literature. The aim of the study is to investigate the effectiveness of augmented reality-based telerehabilitation application, which includes trunk stabilization training, on neuromuscular and sensorimotor parameters in PwMS.

Conditions

Multiple Sclerosis

Outcome Measures

Primary Outcomes (1)

• Balance

  MiniBESTest will be used to evaluate the static and dynamic balance.It consists of 14 questions including antisipatuar postural reaction, reactive postural control, sensory orientation and dynamic balance. The test is scored between 0-28 points. The highest score indicates good balance.

  Change from baseline at 8 weeks

Secondary Outcomes (8)

• Muscle Activity

  Change from baseline at 8 weeks

• Core Muscle Endurance-Trunk Flexor

  Change from baseline at 8 weeks

• Core Muscle Endurance- Trunk Extansor

  Change from baseline at 8 weeks

• Core Muscle Endurance- Side Bridge

  Change from baseline at 8 weeks

• Trunk Position Sense

  Change from baseline at 8 weeks

Study Arms (2)

Group 1

EXPERIMENTAL

Patients in this group will receive spinal stabilization training through augmented reality based telerehabilitation application.

Other: Augmented Reality Based Telerehabilitation Application

Group 2

ACTIVE COMPARATOR

Patients in this group will receive spinal stabilization training face-to-face.

Other: Training face-to-face

Interventions

Augmented Reality Based Telerehabilitation Application OTHER

Spinal stabilization training with augmented reality-based telerehabilitation will be applied twice a week for 8 weeks.

Group 1

Training face-to-face OTHER

Spinal stabilization training will be applied face-to-face twice a week for 8 weeks.

Group 2

Eligibility Criteria

• Age: 18 Years - 65 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64), Older Adult (65+)

You may qualify if:

• Diagnosed with relapsing remitting MS by a neurologist,
• Having a disability level between 1 and 5 according to the Expanded Disability Status Scale (EDSS),
• Those who get over 24 points in the Standardized Mini Mental State Test (SMMT),
• Those who have not had an MS attack in the last three months,
• Volunteer individuals

You may not qualify if:

• Receiving corticosteroid therapy in the last 4 weeks,
• Having additional neurological disease that may cause balance disorder
• Individuals who have had surgery related to the spine, hip, knee or ankle

Sponsors & Collaborators

• Ankara Yildirim Beyazıt University: lead

MeSH Terms

Conditions

Multiple Sclerosis

Condition Hierarchy (Ancestors)

Demyelinating Autoimmune Diseases, CNS; Autoimmune Diseases of the Nervous System; Nervous System Diseases; Demyelinating Diseases; Autoimmune Diseases; Immune System Diseases

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: SINGLE
• Who Masked: OUTCOMES ASSESSOR
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: SPONSOR

Study Record Dates

• First Submitted: November 26, 2022
• First Posted: December 6, 2022
• Study Start: January 30, 2023
• Primary Completion: September 30, 2024
• Study Completion: December 15, 2024
• Last Updated: February 10, 2023

Record last verified: 2022-11