Knee Pain/OsteoarthritisNCT04199416
Effectiveness of a Mobile App for Individuals With or at Risk of Knee Osteoarthritis
A study testing mRehab app in people with Knee Pain/Osteoarthritis and Digital Health, run by The University of Hong Kong at 3 sites in Hong Kong.
Trial summary
To develop and examine an interactive, multi-functional mobile app-based technology designed to encourage endogenous health care using a 12-month randomized controlled trial to demonstrate whether knee osteoarthritis (KOA)-at-risk individuals and KOA-diagnosed patients can improve their knee pain, physical function… Read more about this study
- Who is it for?
- Ages 50 years and older
- Conditions the study is for
- Knee Pain/Osteoarthritis, Digital Health
- What is being tested?
- mRehab app
- Type of treatment
- Medical device
- Could I receive a placebo?
- Yes, some participants may receive a placebo
- How many people
- 320 participants
- Where
- 3 sitesHong Kong
- Study dates
- 1 Jan 2021to 31 Mar 2023
- Phase
- Interventional
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 50 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Who may be able to join
- at least 50 years of age,
- a regular smartphone user,
- able to speak Cantonese and read Chinese,
- able to perform the exercises required in the physical assessments,
- able to provide written informed consent.
- with subnormal quadriceps strength (as defined by the inability to complete five repetitions of a sit-to-stand test in less than 8 seconds [50 to 70 years of age], 10 seconds [70 to 79 years of age], or 12 seconds [80 years or older])
Show all 10Show fewer
- with significant chronic knee pain (i.e., ≥2/10 on the 11-point Numerical Pain Rating Scale for more than 3 months on most days of the previous month, aggravated by weight-bearing or movement)
- without regular medical follow-up for knee problems
- with symptomatic radiographic KOA and being followed-up in hospitals
- have radiographic evidence of grade 2 to 3 KOA on the Kellgren-Lawrence scale in the posteroanterior and/or skyline view or the presence of lateral/posterior osteophytes.
Who cannot join
- have a cognitive impairment,
- have nonambulatory status,
- have systemic inflammatory arthritis (e.g., gout),
- have a history of knee or hip replacement surgery,
- have a history of trauma or surgical arthroscopy of either knee within the past 6 months,
- involve in a similar study,
Show all 10Show fewer
- participate in a knee exercise program within the past 6 months,
- have an intra-articular injection to the knee within the past 3 months,
- have recent or imminent surgery (within 3 months),
- have medical co-morbidities that preclude participation in exercise
Trial locations and contacts
3 sites in 1 country.
Hong Kong3 sites
Hong Kong East Cluster, Hospital Authority
Hong Kong
Yin Chun Loretta YAM, 2595-6411, yamyc@ha.org.hk
Hong Kong West Cluster, Hospital Authority
Hong Kong
Ping-keung CHAN, PhD, 2255-4654, cpk464@ha.org.hk
New Territories East Cluster, Hospital Authority
Hong Kong
Kevin Ki-wai HO, PhD, 3505-2715, kevinho@cuhk.edu.hk
About this study
Official title: Effectiveness of an Interactive, Multi-functional Mobile App-based Technology in Endogenous Healthcare for Individuals With or at Risk of Knee Osteoarthritis: A 12-month Randomized Controlled Trial
To develop and examine an interactive, multi-functional mobile app-based technology designed to encourage endogenous health care using a 12-month randomized controlled trial to demonstrate whether knee osteoarthritis (KOA)-at-risk individuals and KOA-diagnosed patients can improve their knee pain, physical function, and other relevant outcomes by using the technology to support knee/KOA self-management.
Read the detailed description
Knee osteoarthritis (KOA), the most common degenerative condition affecting the peripheral weight-bearing joints, leads to pain, restricted mobility, and financial and moral burden. These effects will increase with rising numbers of incidents, exacerbated by population aging and obesity. Zhang et al. found KOA in 43% and 22% (15% and 6% in symptomatic individuals) of Chinese women and men, respectively, 60 years or older. In the United States, KOA affects 12% of the elderly population, and it is projected that the need for total knee replacement (TKR) to treat end-stage KOA will grow by 673% to 3.48 million procedures a year from 2005 to 2030, with the demand for TKR revision doubling from 2005 to 2015. Hong Kong's public hospitals performed 6658 TKRs from 2011 to 2014, with 10,000 cases wait-listed for 2016. These figures suggest that KOA will impose significant and increasing pressure on Hong Kong's healthcare system.
As quadriceps muscle weakness increases the risk of KOA, its symptoms should be alleviated by leg muscle strengthening. Land-based exercise has been effective under close monitoring and supervision. A recent Cochrane Review involving 54 studies concluded that there is moderate to high-quality evidence that land-based exercises significantly improve muscle strength, physical function, and quality of life and reduce pain in KOA patients. The effect of such exercises is comparable to that of nonsteroidal anti-inflammatory drugs with no significant adverse effects. However, therapist-delivered exercise is costly and often impractical, especially in a public-health context, and Internet-delivered exercise regimes represent an alternative approach. In today's information technology (IT)-enabled environment, mobile apps are readily accessible to users of untethered devices (e.g., smartphones). The "any-where, any-time" mobile IT could be exploited to more effectively manage KOA by encouraging self-motivation to substitute for direct monitoring. This study will present "IT-centered endogenous healthcare" as a public policy to boost self-help in primary care and test its practicability and efficacy in KOA management in Hong Kong. The word "endogenous" suggests that self-motivation is a form of self-insurance in primary care. It is further suggested that demand-side incentives will be needed to induce individuals to incrementally allocate more resources (particularly time and effort) to incrementally self-insure health at the primary level.
On the supply side, IT-based healthcare products have been mainly designed for commercial considerations such as marketing and are insufficiently focused on function for purposes of public health and policy. We follow Liao-Cheung's approach to reify demand-side incentives in the form of a publicly funded (and hence free) mobile app, the adoption of which could encourage self-insurance among individuals with knee problems or KOA. The users' time and effort will initially be rewarded by the app's user-friendliness and lack of a fee. The study's technology intervention, "mobile rehabilitation (mRehab) app", will link smartphones to videos of evidence-based, physiotherapist-prescribed exercises to alleviate knee/KOA symptoms, together with educational (e.g., diet and behavioral modifications) and motivational components. This mobile IT platform will have easier and wider accessibility than exercises delivered via tethered devices (e.g., desktop computers), and it can engage the users' interest whenever and wherever KOA effects are felt. Over time, self-motivation is also enhanced by high-frequency prompts, periodic upgrades with feedback, support from Internet KOA-awareness groups, the possibility of accumulating one's own health-data to facilitate queries and dialogue, and (most importantly) monitoring the health progression predicted by the exercise regimen.
A natural research sample follows in the form of IT-enabled individuals with knee/KOA problems. The proposed hypothesis is then offered that sustained use of the mRehab app will significantly reduce the symptoms and improve functions of individuals with quadriceps weakness and knee pain or KOA over time and compared to a sham app (the analytical control). The effectiveness of the mRehab app regarding this hypothesis will be tested in two samples: (1) KOA-at-risk individuals and (2) KOA-diagnosed patients, in a randomized controlled trial (RCT).
- Conditions
- Knee Pain/Osteoarthritis, Digital Health
- Being tested
- mRehab app, Sham app
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
mRehab appDevice
The mRehab app will be an interactive system with a user-friendly graphical user interface to provide multiple motivational functions that engage individuals in their prescribed home exercises. The app will contain video-based lower limb strengthening and aerobic exercise materials, health information, and motivational functions to increase their access to rehabilitation and care resources to augment their self-management ability.
Sham appDevice
The sham app will only contain educational components and text-based exercise recommendations.
| Study group | Role | What they receive |
|---|---|---|
| mRehab app | Experimental | Participants randomized to the intervention group will be given the mRehab app free of charge to perform self-management of their knees in their homes. Receives: Device: mRehab app |
| Sham app | Sham comparator | Participants randomized to the control group will receive a sham app free of charge to perform self-management of their knees in their homes. Receives: Device: Sham app |
What is being measured
The primary outcome is the main question the study is designed to answer.
Changes in knee pain
Knee pain will be assessed on a 11-point Numerical Pain Rating Scale, with 0 representing no pain and 10 representing the worst possible pain.
Measured: from baseline to 3, 6, 9, and 12 months
Changes in physical function of the knee
Physical function will be measured with the 17-item physical function for daily living subscale of the Knee Injury and Osteoarthritis Outcome Score (KOOS). A 5-point Likert scale is used and all items have five possible answer options scored from 0 (No Problems) to 4 (Extreme Problems).
Measured: from baseline to 3, 6, 9, and 12 months
Secondary outcomes (5)
Changes in lower limb function
Lower limb function will be assessed by a 40-m fast-paced walking test, a 9-step stair-climb test, a five-repetition sit-to-stand test, active and passive ranges of motion of the hip and knee joints, and the mini-balance evaluation system test (mini-BESTest).
Measured: from baseline to 3, 6, 9, and 12 months
Changes in lower limb muscle strength
Maximal isometric strength of the quadriceps and hamstrings will be assessed by a handheld dynamometer.
Measured: from baseline to 3, 6, 9, and 12 months
Changes in health-related physical activity
Health-related physical activity will be assessed using the Chinese version of international physical activity questionnaire. This questionnaire asks participants to report the frequency and duration of walking, all vigorous and moderate activities lasting at least 10 min, plus time spent in sedentary activity (sitting and lying awake) during the past 7 days. The data were converted to metabolic equivalent scores for each type of activity, with higher score indicating more physical activity.
Measured: from baseline to 3, 6, 9, and 12 months
Changes in self-efficacy for coping with knee problems
Self-efficacy will be assessed using a 5-item self-efficacy scale modified from an existing validated scale, with scores ranging from 1 (not at all confident) to 10 (totally confident).
Measured: from baseline to 3, 6, 9, and 12 months
Changes in health-related quality of life
Health-related quality of life will be measured using the Chinese version of the EuroQoL 5-dimension 5-level (EQ-5D-5L) questionnaire, which consists of the EuroQoL 5-dimension (EQ-5D) descriptive system and the EQ visual analogue scale (VAS). The EQ-5D descriptive system comprises five dimensions: mobility, self-care, usual activities, pain/discomfort, and anxiety/depression; each dimension is rated on a 3-point scale (i.e., no problems, some problems, and extreme problems). The EQ VAS asks the subject to indicate his or her health state on a vertical, visual analog scale with end points of 0 (worst imaginable health state) and 100 (best imaginable health state).
Measured: from baseline to 3, 6, 9, and 12 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted13 Dec 2019
- Study start1 Jan 2021 (estimated)
- Primary completion31 Mar 2023 (estimated)
- Study completion31 Mar 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for Knee Pain/OsteoarthritisStudies of the same condition, open and under way.
- More trials run by The University of Hong KongThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind
- Who is masked
- Participant, Outcomes assessor
- Enrolment
- 320 participants (estimated)
Sponsor and investigators
- Lead sponsor
- The University of Hong Kong
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Dr. Calvin Or, The University of Hong Kong
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04199416
- Sponsor's protocol ID
- HMRF 17181291
- Status last verified
- Nov 2020
- First submitted
- 10 Dec 2019
- Last updated
- 6 Nov 2020
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, Bridgett L, Williams S, Guillemin F, Hill CL, Laslett LL, Jones G, Cicuttini F, Osborne R, Vos T, Buchbinder R, Woolf A, March L. The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014 Jul;73(7):1323-30. doi: 10.1136/annrheumdis-2013-204763. Epub 2014 Feb 19.
PubMed 24553908Zhang Y, Xu L, Nevitt MC, Aliabadi P, Yu W, Qin M, Lui LY, Felson DT. Comparison of the prevalence of knee osteoarthritis between the elderly Chinese population in Beijing and whites in the United States: The Beijing Osteoarthritis Study. Arthritis Rheum. 2001 Sep;44(9):2065-71. doi: 10.1002/1529-0131(200109)44:93.0.CO;2-Z.
PubMed 11592368Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007 Apr;89(4):780-5. doi: 10.2106/JBJS.F.00222.
PubMed 17403800Lee QJ, Mak WP, Wong YC. Mortality following primary total knee replacement in public hospitals in Hong Kong. Hong Kong Med J. 2016 Jun;22(3):237-41. doi: 10.12809/hkmj154712. Epub 2016 May 6.
PubMed 27149975Oiestad BE, Juhl CB, Eitzen I, Thorlund JB. Knee extensor muscle weakness is a risk factor for development of knee osteoarthritis. A systematic review and meta-analysis. Osteoarthritis Cartilage. 2015 Feb;23(2):171-7. doi: 10.1016/j.joca.2014.10.008. Epub 2014 Nov 1.
PubMed 25450853Fransen M, McConnell S, Harmer AR, Van der Esch M, Simic M, Bennell KL. Exercise for osteoarthritis of the knee: a Cochrane systematic review. Br J Sports Med. 2015 Dec;49(24):1554-7. doi: 10.1136/bjsports-2015-095424. Epub 2015 Sep 24.
PubMed 26405113Bennell KL, Nelligan R, Dobson F, Rini C, Keefe F, Kasza J, French S, Bryant C, Dalwood A, Abbott JH, Hinman RS. Effectiveness of an Internet-Delivered Exercise and Pain-Coping Skills Training Intervention for Persons With Chronic Knee Pain: A Randomized Trial. Ann Intern Med. 2017 Apr 4;166(7):453-462. doi: 10.7326/M16-1714. Epub 2017 Feb 21.
PubMed 28241215Case MA, Burwick HA, Volpp KG, Patel MS. Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA. 2015 Feb 10;313(6):625-6. doi: 10.1001/jama.2014.17841. No abstract available.
PubMed 25668268Yingyongyudha A, Saengsirisuwan V, Panichaporn W, Boonsinsukh R. The Mini-Balance Evaluation Systems Test (Mini-BESTest) Demonstrates Higher Accuracy in Identifying Older Adult Participants With History of Falls Than Do the BESTest, Berg Balance Scale, or Timed Up and Go Test. J Geriatr Phys Ther. 2016 Apr-Jun;39(2):64-70. doi: 10.1519/JPT.0000000000000050.
PubMed 25794308Bohannon RW, Bubela DJ, Magasi SR, Wang YC, Gershon RC. Sit-to-stand test: Performance and determinants across the age-span. Isokinet Exerc Sci. 2010;18(4):235-240. doi: 10.3233/IES-2010-0389.
PubMed 25598584KELLGREN JH, LAWRENCE JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957 Dec;16(4):494-502. doi: 10.1136/ard.16.4.494. No abstract available.
PubMed 13498604Or C, Tao D. A 3-Month Randomized Controlled Pilot Trial of a Patient-Centered, Computer-Based Self-Monitoring System for the Care of Type 2 Diabetes Mellitus and Hypertension. J Med Syst. 2016 Apr;40(4):81. doi: 10.1007/s10916-016-0437-1. Epub 2016 Jan 22.
PubMed 26802011
Study at a glance
From the registry record, last updated by the sponsor on 6 Nov 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Effectiveness of an Interactive, Multi-functional Mobile App-based Technology in Endogenous Healthcare for Individuals With or at Risk of Knee Osteoarthritis: A 12-month Randomized Controlled Trial
- ClinicalTrials.gov ID
- NCT04199416
- Acronym / sponsor ID
- HMRF 17181291
- Conditions
- Knee Pain/Osteoarthritis, Digital Health
- Study type
- Interventional
- Recruitment status
- Unknown status
- Enrolment
- 320 participants (estimated)
- Lead sponsor
- The University of Hong KongUniversity, hospital or other
- Study start
- 1 Jan 2021 (estimated)
- Primary completion
- 31 Mar 2023 (estimated)
- Study completion
- 31 Mar 2023 (estimated)
- First posted
- 13 Dec 2019 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
To develop and examine an interactive, multi-functional mobile app-based technology designed to encourage endogenous health care using a 12-month randomized controlled trial to demonstrate whether knee osteoarthritis (KOA)-at-risk individuals and KOA-diagnosed patients can improve their knee pain, physical function, and other relevant outcomes by using the technology to support knee/KOA self-management.
Detailed description
Knee osteoarthritis (KOA), the most common degenerative condition affecting the peripheral weight-bearing joints, leads to pain, restricted mobility, and financial and moral burden. These effects will increase with rising numbers of incidents, exacerbated by population aging and obesity. Zhang et al. found KOA in 43% and 22% (15% and 6% in symptomatic individuals) of Chinese women and men, respectively, 60 years or older. In the United States, KOA affects 12% of the elderly population, and it is projected that the need for total knee replacement (TKR) to treat end-stage KOA will grow by 673% to 3.48 million procedures a year from 2005 to 2030, with the demand for TKR revision doubling from 2005 to 2015. Hong Kong's public hospitals performed 6658 TKRs from 2011 to 2014, with 10,000 cases wait-listed for 2016. These figures suggest that KOA will impose significant and increasing pressure on Hong Kong's healthcare system.
As quadriceps muscle weakness increases the risk of KOA, its symptoms should be alleviated by leg muscle strengthening. Land-based exercise has been effective under close monitoring and supervision. A recent Cochrane Review involving 54 studies concluded that there is moderate to high-quality evidence that land-based exercises significantly improve muscle strength, physical function, and quality of life and reduce pain in KOA patients. The effect of such exercises is comparable to that of nonsteroidal anti-inflammatory drugs with no significant adverse effects. However, therapist-delivered exercise is costly and often impractical, especially in a public-health context, and Internet-delivered exercise regimes represent an alternative approach. In today's information technology (IT)-enabled environment, mobile apps are readily accessible to users of untethered devices (e.g., smartphones). The "any-where, any-time" mobile IT could be exploited to more effectively manage KOA by encouraging self-motivation to substitute for direct monitoring. This study will present "IT-centered endogenous healthcare" as a public policy to boost self-help in primary care and test its practicability and efficacy in KOA management in Hong Kong. The word "endogenous" suggests that self-motivation is a form of self-insurance in primary care. It is further suggested that demand-side incentives will be needed to induce individuals to incrementally allocate more resources (particularly time and effort) to incrementally self-insure health at the primary level.
On the supply side, IT-based healthcare products have been mainly designed for commercial considerations such as marketing and are insufficiently focused on function for purposes of public health and policy. We follow Liao-Cheung's approach to reify demand-side incentives in the form of a publicly funded (and hence free) mobile app, the adoption of which could encourage self-insurance among individuals with knee problems or KOA. The users' time and effort will initially be rewarded by the app's user-friendliness and lack of a fee. The study's technology intervention, "mobile rehabilitation (mRehab) app", will link smartphones to videos of evidence-based, physiotherapist-prescribed exercises to alleviate knee/KOA symptoms, together with educational (e.g., diet and behavioral modifications) and motivational components. This mobile IT platform will have easier and wider accessibility than exercises delivered via tethered devices (e.g., desktop computers), and it can engage the users' interest whenever and wherever KOA effects are felt. Over time, self-motivation is also enhanced by high-frequency prompts, periodic upgrades with feedback, support from Internet KOA-awareness groups, the possibility of accumulating one's own health-data to facilitate queries and dialogue, and (most importantly) monitoring the health progression predicted by the exercise regimen.
A natural research sample follows in the form of IT-enabled individuals with knee/KOA problems. The proposed hypothesis is then offered that sustained use of the mRehab app will significantly reduce the symptoms and improve functions of individuals with quadriceps weakness and knee pain or KOA over time and compared to a sham app (the analytical control). The effectiveness of the mRehab app regarding this hypothesis will be tested in two samples: (1) KOA-at-risk individuals and (2) KOA-diagnosed patients, in a randomized controlled trial (RCT).
Study design
- Primary purpose
- Health services research
- Allocation
- Randomised
- Intervention model
- Parallel groups
- Masking
- Double blind (participant, outcomes assessor)
- Number of arms
- 2
| Arm | Type | Receives |
|---|---|---|
| mRehab app | Experimental | Device: mRehab appParticipants randomized to the intervention group will be given the mRehab app free of charge to perform self-management of their knees in their homes. |
| Sham app | Sham comparator | Device: Sham appParticipants randomized to the control group will receive a sham app free of charge to perform self-management of their knees in their homes. |
Who may qualify
- Ages
- 50 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
Key inclusion criteria (10 listed)
- at least 50 years of age,
- a regular smartphone user,
- able to speak Cantonese and read Chinese,
- able to perform the exercises required in the physical assessments,
- able to provide written informed consent.
Key exclusion criteria (10 listed)
- have a cognitive impairment,
- have nonambulatory status,
- have systemic inflammatory arthritis (e.g., gout),
- have a history of knee or hip replacement surgery,
- have a history of trauma or surgical arthroscopy of either knee within the past 6 months,
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| mRehab appThe mRehab app will be an interactive system with a user-friendly graphical user interface to provide multiple motivational functions that engage individuals in their prescribed home exercises. The app will contain video-based lower limb strengthening and aerobic exercise materials, health information, and motivational functions to increase their access to rehabilitation and care resources to augment their self-management ability. | Device | mRehab app |
| Sham appThe sham app will only contain educational components and text-based exercise recommendations. | Device | Sham app |
Primary outcome
Changes in knee pain
Time frame: from baseline to 3, 6, 9, and 12 months
Knee pain will be assessed on a 11-point Numerical Pain Rating Scale, with 0 representing no pain and 10 representing the worst possible pain.
Changes in physical function of the knee
Time frame: from baseline to 3, 6, 9, and 12 months
Physical function will be measured with the 17-item physical function for daily living subscale of the Knee Injury and Osteoarthritis Outcome Score (KOOS). A 5-point Likert scale is used and all items have five possible answer options scored from 0 (No Problems) to 4 (Extreme Problems).
5 secondary outcomes
Changes in lower limb function
Time frame: from baseline to 3, 6, 9, and 12 months
Changes in lower limb muscle strength
Time frame: from baseline to 3, 6, 9, and 12 months
Changes in health-related physical activity
Time frame: from baseline to 3, 6, 9, and 12 months
Changes in self-efficacy for coping with knee problems
Time frame: from baseline to 3, 6, 9, and 12 months
Changes in health-related quality of life
Time frame: from baseline to 3, 6, 9, and 12 months
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 6 Nov 2020.
- Background: PubMed 24553908Cross M, Smith E, Hoy D, Nolte S, Ackerman I, Fransen M, Bridgett L, Williams S, Guillemin F, Hill CL, Laslett LL, Jones G, Cicuttini F, Osborne R, Vos T, Buchbinder R, Woolf A, March L. The global burden of hip and knee osteoarthritis: estimates from the global burden of disease 2010 study. Ann Rheum Dis. 2014 Jul;73(7):1323-30. doi: 10.1136/annrheumdis-2013-204763. Epub 2014 Feb 19.
- Background: PubMed 11592368Zhang Y, Xu L, Nevitt MC, Aliabadi P, Yu W, Qin M, Lui LY, Felson DT. Comparison of the prevalence of knee osteoarthritis between the elderly Chinese population in Beijing and whites in the United States: The Beijing Osteoarthritis Study. Arthritis Rheum. 2001 Sep;44(9):2065-71. doi: 10.1002/1529-0131(200109)44:93.0.CO;2-Z.
- Background: PubMed 17403800Kurtz S, Ong K, Lau E, Mowat F, Halpern M. Projections of primary and revision hip and knee arthroplasty in the United States from 2005 to 2030. J Bone Joint Surg Am. 2007 Apr;89(4):780-5. doi: 10.2106/JBJS.F.00222.
- Background: PubMed 27149975Lee QJ, Mak WP, Wong YC. Mortality following primary total knee replacement in public hospitals in Hong Kong. Hong Kong Med J. 2016 Jun;22(3):237-41. doi: 10.12809/hkmj154712. Epub 2016 May 6.
- Background: PubMed 25450853Oiestad BE, Juhl CB, Eitzen I, Thorlund JB. Knee extensor muscle weakness is a risk factor for development of knee osteoarthritis. A systematic review and meta-analysis. Osteoarthritis Cartilage. 2015 Feb;23(2):171-7. doi: 10.1016/j.joca.2014.10.008. Epub 2014 Nov 1.
- Background: PubMed 26405113Fransen M, McConnell S, Harmer AR, Van der Esch M, Simic M, Bennell KL. Exercise for osteoarthritis of the knee: a Cochrane systematic review. Br J Sports Med. 2015 Dec;49(24):1554-7. doi: 10.1136/bjsports-2015-095424. Epub 2015 Sep 24.
- Background: PubMed 28241215Bennell KL, Nelligan R, Dobson F, Rini C, Keefe F, Kasza J, French S, Bryant C, Dalwood A, Abbott JH, Hinman RS. Effectiveness of an Internet-Delivered Exercise and Pain-Coping Skills Training Intervention for Persons With Chronic Knee Pain: A Randomized Trial. Ann Intern Med. 2017 Apr 4;166(7):453-462. doi: 10.7326/M16-1714. Epub 2017 Feb 21.
- Background: PubMed 25668268Case MA, Burwick HA, Volpp KG, Patel MS. Accuracy of smartphone applications and wearable devices for tracking physical activity data. JAMA. 2015 Feb 10;313(6):625-6. doi: 10.1001/jama.2014.17841. No abstract available.
- Background: PubMed 25794308Yingyongyudha A, Saengsirisuwan V, Panichaporn W, Boonsinsukh R. The Mini-Balance Evaluation Systems Test (Mini-BESTest) Demonstrates Higher Accuracy in Identifying Older Adult Participants With History of Falls Than Do the BESTest, Berg Balance Scale, or Timed Up and Go Test. J Geriatr Phys Ther. 2016 Apr-Jun;39(2):64-70. doi: 10.1519/JPT.0000000000000050.
- Background: PubMed 25598584Bohannon RW, Bubela DJ, Magasi SR, Wang YC, Gershon RC. Sit-to-stand test: Performance and determinants across the age-span. Isokinet Exerc Sci. 2010;18(4):235-240. doi: 10.3233/IES-2010-0389.
- Background: PubMed 13498604KELLGREN JH, LAWRENCE JS. Radiological assessment of osteo-arthrosis. Ann Rheum Dis. 1957 Dec;16(4):494-502. doi: 10.1136/ard.16.4.494. No abstract available.
- Background: PubMed 26802011Or C, Tao D. A 3-Month Randomized Controlled Pilot Trial of a Patient-Centered, Computer-Based Self-Monitoring System for the Care of Type 2 Diabetes Mellitus and Hypertension. J Med Syst. 2016 Apr;40(4):81. doi: 10.1007/s10916-016-0437-1. Epub 2016 Jan 22.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
3 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing mRehab app in people with Knee Pain/Osteoarthritis and Digital Health, run by The University of Hong Kong at 3 sites in Hong Kong.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 10 inclusion and 10 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 6 Nov 2020. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 3 sites in Hong Kong. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. Some participants in this study may receive a placebo. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Kalun Or, PhD (852-39172587, klor@hku.hk), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Changes in knee pain (time frame: from baseline to 3, 6, 9, and 12 months). The study lists 2 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04199416, which also lists 12 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 6 Nov 2020.