Effects of Digital-based Physical Activity Intervention in Individuals With Knee Osteoarthritis

NCT ID: NCT05810376

Last Updated: 2023-04-12

Study Results

Results pending

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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Recruitment Status

UNKNOWN

Clinical Phase

NA

Total Enrollment

70 participants

Study Classification

INTERVENTIONAL

Study Start Date

2023-04-01

Study Completion Date

2024-06-01

Brief Summary

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Physical activity is recommended in the guidelines to improve pain and function in the treatment of knee OA, regardless of the severity of the disease, but still, patients rarely do enough physical activity. The choice of intervention to improve symptoms and disorders may be key to increasing the level of physical activity. Adapting physical activity to the patient's needs and preferences can improve compliance and outcomes. In a Delphi study, the only statement that received 100% support was stated as "Individualized exercise is an integral component of treatment for anyone with osteoarthritis". However, healthcare providers often recommend physical activity programs that do not place too much emphasis on the patient's preferences. The decision to engage in physical activity is multifactorial, and it is necessary to understand people's physical activity preferences better in order to increase participation and compliance.

Digital health interventions have the potential to address physical inactivity as they are accessible to a large part of the population and can be delivered with high efficiency at a low cost. By enabling patient education, support for self-management, motivation, follow-up, feedback and communication, it can prevent, cure or treat many chronic conditions. These features can increase patient motivation and encourage compliance with home exercises and physical activity. Digital behavior change interventions use digital technologies (such as websites, mobile apps, SMS or wearables) to promote and maintain health and have the potential to overcome many barriers compared to in-person programs by providing cost-effective, effective, and accessible information. No study has been found in Turkey examining digital interventions or walking programs that include behavior change techniques to increase physical activity in patients with knee osteoarthritis. Considering environmental, cultural and economic factors in this patient group in our society, we think that walking, which we think is the most appropriate physical activity method in terms of cost, accessibility and equipment, should be a permanent behavior.

Our aim in the study; To examine the effects of digitally assisted physical activity intervention on pain, functionality and exercise commitment in individuals with knee osteoarthritis.

Detailed Description

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Functional capacity and quality of life decrease in individuals with knee osteoarthritis (OA). This is due to loss of strength and physical inactivity caused by pain or fatigue. Increasing levels of physical activity have been shown to reduce these problems. Another reason why individuals with osteoarthritis have a lower level of physical activity than the general population may be the fear of moving with the thought of more pain. However, physical activity is recommended as a basic treatment for osteoarthritis (Shih, Hootman et al. 2006).

Physical activity is recommended in the guidelines to improve pain and function in the treatment of knee OA, regardless of the severity of the disease, but still, patients rarely do enough physical activity (Zhang, Moskowitz et al.

2008, Zhang, Doherty et al. 2010, Dunlop, Song et al. al. 2011). The choice of intervention to improve symptoms and disorders may be key to increasing the level of physical activity. Adapting physical activity to the patient's needs and preferences can improve compliance and outcomes. In a Delphi study, the only statement that received 100% support was stated as "Individualized exercise is an integral component of treatment for anyone with osteoarthritis" (French, Bennell et al. 2015). However, healthcare providers often recommend physical activity programs that do not place too much emphasis on the patient's preferences. The decision to engage in physical activity is multifactorial, and it is necessary to understand people's physical activity preferences better in order to increase participation and compliance (Holden, Nicholls et al. 2009, Dierckx, Deveugele et al. 2013, Pinto, Danilovich et al. 2017).

Digital health interventions have the potential to address physical inactivity as they are accessible to a large part of the population and can be delivered with high efficiency at a low cost (Iribarren, Cato et al. 2017). By enabling patient education, support for self-management, motivation, follow-up, feedback and communication, it can prevent, cure or treat many chronic conditions. These features can increase patient motivation and encourage compliance with home exercises and physical activity (Meier, Fitzgerald et al. 2013). Digital behavior change interventions use digital technologies (such as websites, mobile apps, SMS or wearables) to promote and maintain health and have the potential to overcome many barriers compared to in-person programs by providing cost-effective, effective, and accessible information. McCabe et al. 2018). No study has been found in Turkey examining digital interventions or walking programs that include behavior change techniques to increase physical activity in patients with knee osteoarthritis. Considering environmental, cultural and economic factors in this patient group in our society, we think that walking, which we think is the most appropriate physical activity method in terms of cost, accessibility and equipment, should be a permanent behavior. The use of technology to increase physical activity in the era of digitalization is important in terms of addressing the increasing inactivity during the Covid-19 pandemic period. Our aim in the study; To examine the effects of digitally assisted physical activity intervention on pain, functionality and exercise commitment in individuals with knee osteoarthritis.

Conditions

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Osteoarthritis, Knee

Study Design

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Allocation Method

RANDOMIZED

Intervention Model

PARALLEL

Primary Study Purpose

TREATMENT

Blinding Strategy

NONE

Study Groups

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Experimental Group

Experimental group will receive patient education, exercise, and digital-based physical activity intervention.

Group Type EXPERIMENTAL

Digital-based physical activity intervention

Intervention Type BEHAVIORAL

The digital behavioral program comprises goal planning, motivational messages and video calls, social support, and routine follow-up of weekly goals.

Patient education and exercise

Intervention Type OTHER

Patient education will include information on osteoarthritis, prognosis, pain management, importance of physical activity and exercise. The exercise program will include warm up, stretching and strengthening.

Control Group

Control group will receive patient education and exercise.

Group Type ACTIVE_COMPARATOR

Patient education and exercise

Intervention Type OTHER

Patient education will include information on osteoarthritis, prognosis, pain management, importance of physical activity and exercise. The exercise program will include warm up, stretching and strengthening.

Interventions

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Digital-based physical activity intervention

The digital behavioral program comprises goal planning, motivational messages and video calls, social support, and routine follow-up of weekly goals.

Intervention Type BEHAVIORAL

Patient education and exercise

Patient education will include information on osteoarthritis, prognosis, pain management, importance of physical activity and exercise. The exercise program will include warm up, stretching and strengthening.

Intervention Type OTHER

Eligibility Criteria

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Inclusion Criteria

* Diagnosed with Knee Osteoarthritis\* (ACR criteria)
* 50 years old or over 50 years old
* Pain or discomfort for a total of 28 days or more than 28 days on consecutive or separate days in the past year
* Patients with daily internet access will be included in the study.

Exclusion Criteria

* Patients with a previous diagnosis of rheumatoid arthritis, psoriatic arthritis, ankylosing spondylitis, polymyalgia rheumatica, connective tissue diseases, fibromyalgia or gout
* Patients with a history of using antirheumatic drugs or gout medications
* Patients who have had previous knee arthroplasty and are on the waiting list for total knee or hip replacement surgery
* Patients who have had surgery on the lumbar, hip, knee, foot and ankle joints in the last 12 months
* Patients with a history of acute injury to the knee in the last 6 months
* Patients who have had steroid or hyaluronate injections in the knee in the last 6 months
* Patients with a body mass index of 40 kg/m2 or more
* Patients at risk for unsupervised physical activity
Minimum Eligible Age

50 Years

Maximum Eligible Age

80 Years

Eligible Sex

FEMALE

Accepts Healthy Volunteers

No

Sponsors

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Trakya University

OTHER

Sponsor Role lead

Responsible Party

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Hakan Akgul

Mr

Responsibility Role PRINCIPAL_INVESTIGATOR

Central Contacts

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Hakan Akgül, MSc

Role: CONTACT

+905548039297

References

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Akgul H, Birtane M, Tonga E. Effects of a Digitally Supported Physical Activity Intervention in Knee Osteoarthritis: A Pilot Randomized Controlled Trial. Musculoskeletal Care. 2025 Jun;23(2):e70085. doi: 10.1002/msc.70085.

Reference Type DERIVED
PMID: 40148223 (View on PubMed)

Other Identifiers

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2021/291

Identifier Type: -

Identifier Source: org_study_id

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