Hospital-based Outpatient Physiotherapy Rehabilitation Versus Mobile Health (mHealth)-Based Exercise and Self-management in Patients With Symptomatic Knee Osteoarthritis
MOKneeTOR
Cost and Outcomes of Hospital-based Physiotherapy Versus mHealth-based Self-directed Rehabilitation in Patients With Knee Osteoarthritis: A Randomized, Controlled, Non-inferiority Trial
1 other identifier
interventional
160
1 country
1
Brief Summary
Symptomatic osteoarthritis (OA) of the knee affects approximately one-fifth (\~300K) of Singaporeans aged 50 years or older, with the disease prevalence increasing with age. Patients with advanced knee OA and severe disability often require a total knee replacement (TKR) surgery. With an ageing population and the high prevalence of obesity, the annual number of TKR is projected to rise. Thus, innovative care models are urgently needed to improve patient outcomes, while managing or reducing the economic burden of this common and costly public health problem. Unmet Need: Conservative treatment through physiotherapy rehabilitation is a key intervention but significant access limitations result in unnecessary TKRs. For patients with knee OA, consensus guidelines are unanimous in recommending education, exercise, and weight management (if required) as first-line intervention. Physiotherapy rehabilitation incorporates these 3 first-line interventions and is a widely advocated and evidence-based component of OA intervention. Despite this, international evidence suggests that these core interventions are often under-utilized, with only 20-40% of community-dwelling older adults with knee OA receiving them. Locally and worldwide, suboptimal care from rehabilitation non-attendance is prevalent and costly: available research suggests that at least a quarter of TKRs could have been avoided with optimal care. Thus, to reduce the economic burden of OA, there is a need to develop innovative and flexible rehabilitation strategies. mHealth-based program is a likely solution to address this unmet need, but local contextualization is needed. Against this background, a mobile health (mHealth)-based OA self-management program may be a feasible solution to deliver guideline-based interventions, with minimal involvement by healthcare professionals. Whilst several app- or web-based OA self-management programs are available, few have undergone rigorous RCT evaluation, and still fewer provide detailed instructions to enable self-directed exercise (in particular, muscle strengthening exercises) - despite the evidence that exercise is the cornerstone of knee OA management. Furthermore, the reach and adoption of these programs in Singapore is limited as they are designed for English-speaking patients from Western cultures. Hence, whilst there are potential benefits in harnessing technology-enabled programs, these data emphasize the need for local co-design and adaptation to suit the Singapore context and to facilitate adoption. Thus, we have, through an iterative user-centered design process, developed Managing Osteoarthritis of the Knee using Therapist Technology Optimized Rehabilitation (MOKneeTOR), a blended digital rehabilitation program integrating an initial face-to-face physiotherapy assessment and a mobile health (mHealth)-enabled exercise and self-management program designed to promote first-line interventions (education, exercise, and weight management where indicated) for patients with knee osteoarthritis.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Jun 2026
Shorter than P25 for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
June 18, 2026
CompletedFirst Submitted
Initial submission to the registry
August 11, 2026
CompletedFirst Posted
Study publicly available on registry
August 17, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
March 31, 2027
ExpectedStudy Completion
Last participant's last visit for all outcomes
March 31, 2027
August 17, 2026
August 1, 2026
10 months
August 11, 2026
August 11, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Gait speed
This provides a performance-based measure of physical function. Participants will walk at their usual pace (warm-up) and fast pace along a 4-metre walkway, with a 2.5-metre acceleration distance before and a 2.5-metre deceleration distance after the timed section. Gait timing will be captured concurrently using both a stopwatch and a time-of-flight sensor. Gait speed (m/s) will be calculated for both walking conditions; however, time-of-flight sensor-based fast-paced gait speed will be the primary outcome measure.
baseline, 3 months and 6 months post baseline visit
Secondary Outcomes (12)
Short Form of the Western Ontario and McMaster Universities Osteoarthritis Index (ShortMAC F)
baseline, 3 months and 6 months post baseline
Knee Pain: Numeric Pain Rating Scale (NPRS)
baseline, 3 months and 6 months post baseline
Knee strength
baseline, 3 months and 6 months post baseline
Lower limb strength and mobility
baseline, 3 months and 6 months post baseline
Health-related quality of life - Euro Qol Group 5-Dimension (EQ-5D-5L)
baseline, 3 months and 6 months post baseline
- +7 more secondary outcomes
Other Outcomes (11)
Adverse effects
3 months and 6 months post baseline
Body weight and overall muscle mass/strength measurements [Mechanistic Outcome]
baseline, 3 months and 6 months post baseline
Perceived TKR Necessity [Mechanistic Outcome]
baseline, 3 months and 6 months post baseline
- +8 more other outcomes
Study Arms (3)
Hospital-based outpatient rehabilitation program
ACTIVE COMPARATORParticipants will attend, over a 12-week period, a minimum of 3 outpatient physiotherapy sessions, with up to 3 additional sessions if patients are deemed to require them.
MOKneeTOR with standard app configuration
EXPERIMENTALMOKneeTOR with standard app configuration will combine both self-reported outcomes and performance-based outcomes to provide objective exercise feedback and criterion-based personalized exercise progression recommendations.
MOKneeTOR with standard app configuration and enhanced personalisation
EXPERIMENTALMOKneeTOR with enhanced personalization will receive MOKneeTOR with standard app configuration and an app experience with an education chatbot that adapts tone, reading level, and format (text, infographics, short videos) to participants' preferences and engagement. Minor person-centred features (e.g., treating therapist caricature avatars and name-badged messages) will also be incorporated to strengthen therapeutic alliance without altering clinical guidance.
Interventions
Participants will attend, over a 12-week period, a minimum of 3 outpatient physiotherapy sessions, with up to 3 additional sessions if patients are deemed to require them. During the sessions, participants will receive patient education, exercises, manual therapy, and other modalities. Participants will also be instructed on a home exercise program in which they will exercise at least 3 times weekly. During each session which will last around 40 minutes, the project physiotherapist will (i) review the home exercise program, (ii) observe the participants performing the exercises and correct their form and techniques when necessary, and (iii) work with the participants to set goals and progress the exercise program.
Participants randomized to receive MOKneeTOR with enhanced personalization of the MOKneeTOR app will receive an app experience with an education chatbot that adapts tone, reading level, and format (text, infographics, short videos) to participants' preferences and engagement. Minor person-centred features (e.g., treating therapist caricature avatars and name-badged messages) will also be incorporated to strengthen therapeutic alliance without altering clinical guidance.
Participants allocated to the MOKneeTOR program will receive 24 week access to the MOKneeTOR app. To onboard participants on the use of the MOKneeTOR app, the MOKneeTOR program is designed to include an in-person outpatient session, during which the physiotherapist will guide participants through the system. Importantly, based on assessment findings and data input by the physiotherapist, the MOKneeTOR app will utilize a care stratification approach by selecting educational materials tailored to the participant's needs. Participants randomized to MOKneeTOR program may optionally nominate one adult support person (SP) (e.g., family member/friend) to receive access to an SP version of the MOKneeTOR mobile app. The SP app is a subset of the patient app and is intended to (i) improve SP's knee OA knowledge and (ii) support SP's efforts in supporting the participant's self-management.
Eligibility Criteria
You may qualify if:
- All patients who meet the knee OA clinical criteria (aged ≥45 years, activity-related knee pain, and ≤30 min knee joint stiffness in the morning) will be included,
- an owner of a smartphone,
- an education level of at least 8 years,
- a willingness to be randomized to either MOKneeTOR program or outpatient rehabilitation program,
- an ability to complete baseline assessment.
You may not qualify if:
- lower limb joint replacement surgery anticipated within the next 6 months,
- rheumatoid arthritis and other systemic arthritis,
- a previous history of stroke and other major neurological conditions,
- significant back or other non-knee pain,
- pregnant women
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- National University Hospital, Singaporecollaborator
- Singapore General Hospitallead
- University of the Sunshine Coastcollaborator
Study Sites (1)
Singapore General Hospital
Singapore, Singapore
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- OUTCOMES ASSESSOR
- Masking Details
- Because of the nature of the intervention, it is not feasible to blind participants or the treating physiotherapists. To reduce bias, the research assistant collecting assessment data will be blinded to treatment allocation. Participants will also be instructed not to reveal details about their group assignment to the outcome assessor to maintain blinding.
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Senior Principal Physiotherapist
Study Record Dates
First Submitted
August 11, 2026
First Posted
August 17, 2026
Study Start
June 18, 2026
Primary Completion (Estimated)
March 31, 2027
Study Completion (Estimated)
March 31, 2027
Last Updated
August 17, 2026
Record last verified: 2026-08
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL, SAP, ICF
- Time Frame
- The data will be available starting 6 months after primary study publication.
- Access Criteria
- Data will be made available upon reasonable written request to the study team. The PI, Dr. Yong-Hao Pua will review requests.
At the completion of the trial, de-identified individual participant data may be shared with qualified researchers upon request under a data-sharing agreement. Data released for secondary analyses will be further reviewed and redacted as necessary to protect participant privacy and confidentiality. All participants will be assigned a unique study ID and will not be identifiable by name. The data-sharing agreement will include provisions to safeguard participant privacy and data confidentiality.