Comparison of Two Different Virtual Reality Methods in Patients With Multiple Sclerosis

NCT03436927 | Completed

• 1 other identifier: YZenginler
• Study Type: interventional
• Target: 51
• Locations: 0 countries
• Sites: N/A

Brief Summary

As a chronic, autoimmune, inflammatory disease of the central nervous system, Multiple Sclerosis (MS) is a neurologic problem which the most frequent cause of disability in young adults. Fatigue, pain, spasticity, muscle weakness, depression, as well as balance and gait disorders are amongst the symptoms of MS. Balance disorders and the falls caused by them are the most frequent problems which result in disability of MS patients, with 75% of all patients being affected during the course of disease. When considering previous studies carried out on physiotherapy and rehabilitation practices in the light of balance disorders and other related problems faced by MS patients, it can been that various physiotherapeutic approaches are applied with varying follow-up times and in the form of hospital sessions, home sessions, or group training. Posture and balance problems in MS patients are tried to be solved through long-lasting treatment sessions using traditional methods of physiotherapy, where less patient participation is observed. Fatigue, psychological impairment, and insufficient motivation are other aspects which influence the success of treatment and which need to be addressed in MS patients. In contrast to traditional methods of physiotherapy applied in form of long-lasting treatment sessions, technology-supported rehabilitation approaches have emerged in recent years. It can be seen that different systems have started to be employed in the physiotherapy of many chronic diseases, either alone or in company with traditional methods. Even though the clinical use of these systems is becoming widespread, there are certain gaps in terms of the systems' impacts, comparative advantages, or cost effectiveness. Keeping this in mind, the purpose of this study is to investigate and compare the impacts of 'Nintendo Wii Fit' and 'Balance Trainer', as two of the technologic methods with therapeutic impact which have started to be used for different diagnosis groups in recent years, on the balance and posture parameters of MS patients, with the ultimate aim to introduce a whole new point of view to traditional physiotherapy and rehabilitation studies.

Conditions

Multiple Sclerosis

Keywords

Multiple Sclerosis; rehabilitation; postural balance; exercise

Outcome Measures

Primary Outcomes (1)

• Berg Balance Scale

  The Berg Balance Scale is a 56-point scale designed to measure balance among older people by the assessment of functional tasks. Its concurrent validity has been established for people with multiple sclerosis. The Berg Balance Scale is a five point ordinal scale and consisting of 14 balance activity. Each activity is scored between 0-4 and higher total scores indicating less impaired balance. 45-56=independent, 21-44=assisted walking, 0-20=dependent.

  Change between baseline and after 8 weeks of intervention were assessed.

Secondary Outcomes (3)

• Timed Up and Go Test

  Change between baseline and after 8 weeks of intervention were assessed.

• Six Minutes Walk Test

  Change between baseline and after 8 weeks of intervention were assessed.

• Fatigue Severity Scale

  Change between baseline and after 8 weeks of intervention were assessed.

Study Arms (3)

Nintendo Wii Fit

EXPERIMENTAL

Participants in the Nintendo Wii group were included to exercise program that consisted of 16 individual PT-supervised sessions (two 60-minute sessions/week), which were prepared to improve balance. Each session started with 10 minutes of non-resistance cycling work for warm-up.

Other: Nintendo Wii Fit Balance exercises

Balance Trainer

EXPERIMENTAL

Participants in the Balance Trainer group were included to exercise program that consisted of 16 individual PT-supervised sessions (two 60-minute sessions/week), which were prepared to improve balance. Each session started with 10 minutes of non-resistance cycling work for warm-up.

Other: Balance Trainer Balance Exercises

Control

NO INTERVENTION

Patients in the 'Group III-control group' were included in the waiting list until the end of the study.

Interventions

Nintendo Wii Fit Balance exercises OTHER

Nintendo Wii Fit' training protocol consisted of 'Penguin Slide', 'Table Tilt', 'Ski Slalom', 'Heading' and 'Balance Bubble' games that selected from the Wii Fit Plus balance games section

Nintendo Wii Fit

Balance Trainer Balance Exercises OTHER

Balance Trainer' training protocol consisted of 'Collect Apples', 'Outline', 'Paddle War' and 'Evaluation of Movement' games which were included in the device software and allowed the patients to done balance exercises in different directions.

Balance Trainer

Eligibility Criteria

• Age: 25 Years - 60 Years
• Sex: all
• Healthy Volunteers: No
• Age Groups: Adult (18-64)

You may qualify if:

• Participants who were ambulatory and volunteer to participate to the study, in a stable phase of the disease, without relapses or worsening in the last 3 months, with an EDSS between 2.5-6 and aged between 25 to 60 years

You may not qualify if:

• physical activity more than 150 minutes per week, were pregnant, had blurred vision, had psychiatric problems, or severe cognitive impairment.

Sponsors & Collaborators

• Biruni University: lead
• Istanbul University: collaborator

MeSH Terms

Conditions

Multiple Sclerosis; Motor Activity

Condition Hierarchy (Ancestors)

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

Study Design

• Study Type: interventional
• Phase: not applicable
• Allocation: RANDOMIZED
• Masking: DOUBLE
• Who Masked: INVESTIGATOR, OUTCOMES ASSESSOR
• Purpose: TREATMENT
• Intervention Model: PARALLEL
• Sponsor Type: OTHER
• Responsible Party: PRINCIPAL INVESTIGATOR
• PI Title: Assistant Professor

Study Record Dates

• First Submitted: December 11, 2017
• First Posted: February 19, 2018
• Study Start: July 15, 2016
• Primary Completion: July 15, 2017
• Study Completion: July 15, 2017
• Last Updated: February 19, 2018

Record last verified: 2018-02

Data Sharing

• IPD Sharing: Will not share