Comparison of Effect of Virtual Reality and Kinetic Chain Exercises in Knee Osteoarthritis

July 15, 2024 updated by: Riphah International University

Comparative Effect of Non Immersive Virtual Reality Based Training (Xbox Kinect) and Kinetic Chain Exercises in Patient With Knee Osteoarthritis.

It is necessary to explore the novel rehabilitation strategies to treat knee osteoarthritis. Although kinetic chain exercises have shown efficacy but there is growing interest in Virtual Reality training using Xbox Kinect because it has the potential to enhance motivation and patient's adherence to Rehabilitation. The aim of this study is to compare the effectiveness of both interventions and provide a valuable insight to optimize the therapeutic strategies for treating knee osteoarthritis.

Study Overview

Detailed Description

Knee osteoarthritis (OA) is a prevalent musculoskeletal condition that impacts the quality of life. Despite various treatment options, managing knee OA is still a challenge for healthcare professionals. However, there is growing interest in exploring the innovative interventions to decrease symptoms and improve functional outcome in patients with knee OA.The project will be a Randomized control trial conducted to check the effect of Virtual Reality and Kinetic chain exercises in patients with knee osteoarthritis.so that we can have best treatment option. Duration of this study will be of 8 weeks , convenient sampling will be done, subjects following eligibility criteria from IIMCT Pakistan Railway general Hospital will be randomly allocated in two groups, baseline assessment will be done, Group A will be given Xbox kinetic training and Group B will be given Kinetic chain exercises . Outcome measures if this research will be pain , Range if Motion , function and disability. Post intervention assessment will be done via NPRS , WOMAC , KOOS_PS and goniometric measurements of Knee ranges .Data was analyzed by using SPSS software. There is lack of research comparing the effectiveness of Virtual Reality Xbox Kinect and kinetic chain exercises in patients with knee osteoarthritis. There are studies that have explored the effectiveness of these interventions separately. In past, few researches support the fact that virtual reality rehabilitation is more effective than conventional physical therapy and few researches are in support of kinetic chain exercises being more effective for knee osteoarthritis. However there is no study that has compared these both interventions. Therefore there is a need for further research to compare both of these interventions which in future will provide optimal, more personalized and effective rehabilitation strategy for individuals with knee osteoarthritis

Study Type

Interventional

Enrollment (Estimated)

46

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • Punjab
      • Rawalpindi, Punjab, Pakistan, 46000
        • Recruiting
        • IIMCT Railway General Hospital
        • Contact:
        • Principal Investigator:
          • Tahira Nazeer, MS-OMPT
        • Sub-Investigator:
          • Iqra Khan, Mphil

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Description

Inclusion Criteria:

  • Both male & female

    • Age 50 or older.
    • Body mass index (BMI) between 18.9kg/m2 and 29.9 kg/m2.
    • Diagnosed with Grade II knee OA
    • Have knee pain > 4 on NPRS
    • Ability to engage in moderate physical activity.

Exclusion Criteria:

  • Severe comorbidities limiting physical activity.

    • History of Hip and Knee arthroplasty.
    • Cognitive impairments affecting comprehension

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Treatment
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Single

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Experimental: Non immersive virtual reality (Xbox kinetic)
  • Track and field.
  • Skiing.
  • Dance Central.
  • Kinect sports.

Treatment starts with a gentle warm-up i.e. hot pack for 10 minutes and gentle stretching of Quadriceps, hamstrings and calves. Each game was performed for 10 minutes with 1 minute rest between games. 3 sessions Per Weeks for 8 weeks (45 Min per Session) were given. All the exergames target muscles like Hamstring, Quadriceps and calves to improve function of knee joint and reduce pain.

Baseline assessment was done at the start of the session and proper cool down and stretching will be performed at the end of each session to promote flexibility and reduce muscle soreness

Active Comparator: Kinetic Chain Exercises

Closed chain:

Terminal Knee Extension.

  • Semi squat.
  • Forward step up and down.

Open chain:

  • SLR in lying.
  • Knee extension in sitting.
Session starts with a gentle warm-up i.e. Hot pack for 10 minutes and gentle stretching. Each exercise is performed in 2 sets, each set of 10 repetitions with 1min rest between sets. 3 sessions Per Weeks for 8 weeks (45 Min Per Session) were given .Kinetic chain exercises involve integrated movements that engage multiple joints and muscle groups & focus on strengthening muscles like quadriceps, hamstrings, glutes, and calf muscles, improving joint stability, function, and reducing pain. Baseline assessment was done at the start of the session and proper cool down and stretching was performed at the end of each session to promote flexibility and reduce muscle soreness

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Numeric Pain Rating Scale:
Time Frame: [Time Frame: 8 weeks]
The Numeric Pain Rating Scale (NPRS) is used to assess pain. On an 11-point Numeric scale, 0 represents no pain and 10 Represents the worst imaginable pain.
[Time Frame: 8 weeks]
Knee injury and Osteoarthritis Outcome score (KOOS PS):
Time Frame: [Time Frame: 8 weeks]

It is a self- administered questionnaire, designed for the assessment of individuals with knee osteoarthritis and injury. It consists of five subscales such as Pain, Activities of daily living , Symptoms, Sport and recreational activities and Quality of life related to knee. The KOOS short form typically consists of 7 questions covering five domains:

Pain: 1 question Other Symptoms: 1 question Function in Daily Living (ADL): 1 question Function in Sport and Recreation (Sport/Rec): 2 questions Knee-related Quality of Life (QOL): 2 questions Each question is scored on a Likert scale ranging from 0 to 4, with 0 indicating no symptoms and 4 indicating extreme symptoms. The total score for the KOOS short form can range from 0 to 28 but we use reverse percentage for scoring which is from 0 to 100 precent with higher scores indicating greater severity in knee function.

[Time Frame: 8 weeks]
Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC):
Time Frame: [Time Frame: 8 weeks]

It is a self-administered questionnaire widely used for the assessment of Health status of individuals With Osteoarthritis of Hip or Knee. It has three subscales such as Pain, Stiffness and Physical Function.

The WOMAC questionnaire consists of 24 questions divided into three subscales:

Pain (5 questions) Stiffness (2 questions) Physical Function (17 questions) Each question is answered on a Likert scale ranging from 0 to 4, with 0 indicating no symptoms and 4 indicating extreme symptoms. Therefore, the total score for the WOMAC index can range from 0 to 96, with higher scores indicating greater severity of osteoarthritis symptoms.

[Time Frame: 8 weeks]
Range of Motion (Goniometer):
Time Frame: [Time Frame: 8 weeks]
It is employed as a benchmark technique for the assessment of Range of motion of a joint, measured using a goniometer. Goniometer measures the joint ranges in every plane of the joint , it's measurements are highly reliable.
[Time Frame: 8 weeks]

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: syed shakil urrehman, PhD, Riphah International University

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

November 16, 2023

Primary Completion (Estimated)

August 1, 2024

Study Completion (Estimated)

September 30, 2024

Study Registration Dates

First Submitted

July 15, 2024

First Submitted That Met QC Criteria

July 15, 2024

First Posted (Actual)

July 22, 2024

Study Record Updates

Last Update Posted (Actual)

July 22, 2024

Last Update Submitted That Met QC Criteria

July 15, 2024

Last Verified

July 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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