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Osteoarthritis is the leading cause of disability in the U.S, particularly in older adults. Exercise is an evidence-based treatment option that improves pain and disability outcomes in adults with osteoarthritis, but adherence to prescribed exercise is generally low. Technology such as mobile applications (apps) for smartphones and tablets offers the potential to support exercise adherence through evidence-based components and enhanced communication between physical therapists and patients. The investigators aim to test mobile app-supported physical therapy exercise prescription compared to standard care. The investigators propose to use a two-arm randomized control trial with subjects in the intervention receiving mobile app-supported physical therapy exercise prescription and the control group receiving usual care physical therapy exercise prescription (paper handouts and verbal instruction). No known studies have assessed the impact of technological integration on adherence with PT exercises for OA. Current approaches such as therapist drawn pictures, hand-written or print-ready instructions do not account for patient communication preferences or ability to translate drawings into physical action. Mobile technology offers a potential solution to patient-centered care but has not been evaluated. This study will provide valuable information on effectiveness and user perspectives to key stakeholders such as patients, health care administrators, physical therapists and app designers.
Osteoarthritis (OA) is the leading cause of disability in the U.S. The rate of activity limitation due to OA is progressing faster than expected while prevalence is projected to increase as a result of the obesity epidemic and population aging, making it a major public health problem. Exercise is an evidence-based treatment option that improves pain and disability outcomes in adults with osteoarthritis, but previous research has shown that adherence to prescribed exercise is low. Referral to physical therapy is common for people with OA with the standard of care including exercise prescription through paper handouts with brief instruction and static pictures. Such approaches do not incorporate known determinants of behavior change related to exercise adherence.
Recent technology products such as mobile applications (apps) for phones and tablets offer the potential to enhance communication between physical therapists and patients. The investigators aim to test a pragmatic intervention focused on supporting people with osteoarthritis to remain engaged with an exercise program. The specific aims of the project are to:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Mobile Application Group | Experimental | The mobile app group will receive physical therapy as determined by the physical therapist and agree to receive the home exercise prescription using a mobile app on their phone or personal tablet |
|
| Control | No Intervention | The control group will receive physical therapy as determined by the physical therapist based on clinical practice guidelines and will receive the home exercise program in the traditional way through paper exercise handouts |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Mobile Application | Device | Participants will receive usual care physical therapy guided by Clinical Practice Guidelines and based on individual symptoms and need over 7 in-person visits. Measures will be collected by the physical therapist related to leg strength, balance, fitness, and mobility as part of the usual care physical therapy evaluation and follow-up. The treating physical therapist will negotiate the physical therapy intervention based on patient preferences and goals and assessment findings. Using clinical practice guidelines, the intervention for the research participants is expected to address deficits in strength, mobility, balance, and cardiovascular endurance. Exercise prescription will be provided using the Wellpepper physical therapy exercise prescription mobile app. |
| Measure | Description | Time Frame |
|---|---|---|
| Exercise adherence | Mean weekly exercise frequency over 6 and 12 weeks:0-21 with higher scores indicating more adherence. | 0, 6, and 12 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| ShortMAC Physical Function Patient Reported Outcome MeasureRO | 12-item assessment of pain and function in people with osteoarthritis: 0-100 scale with higher scores for higher function and less pain | 0, 6 and 12 weeks |
| 2 minute walk test |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Nancy Gell, PT, PhD | University of Vermont | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Dee Physical Therapy | South Burlington | Vermont | 05407 | United States |
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| ID | Term |
|---|---|
| D020370 | Osteoarthritis, Knee |
| D015207 | Osteoarthritis, Hip |
| D009043 | Motor Activity |
| ID | Term |
|---|---|
| D010003 | Osteoarthritis |
| D001168 | Arthritis |
| D007592 | Joint Diseases |
| D009140 | Musculoskeletal Diseases |
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|
Functional exercise capacity: Score is in meters/feet with higher distances indicating better exercise capacity
| 0, 6 and 12 weeks |
| Measure of Intermittent and Constant Osteoarthritis Pain (ICOAP) | Pain measure: Scale range 0-100 with higher scores indicating worse pain | 0, 6 and 12 weeks |
| Timed Up and Go (TUG) + Dual Task | Measure of physical function: Score is in seconds with higher scores indicating worse physical function | 0, 6 and 12 weeks |
| Dynamic Balance: Four square balance test | Test of dynamic balance: Score is in seconds with lower scores indicating better dynamic balance | 0, 6 and 12 weeks |
| Self-efficacy for exercise (SEE) Scale | Self-Efficacy for Exercise Scale: Score range 0-90 with higher score indicating higher self-efficacy for exercise | 0, 6, and 12 weeks |
| D012216 |
| Rheumatic Diseases |
| D001519 | Behavior |