Applications of Digital Health Technologies in Knee Osteoarthritis: A Narrative Review (Preprint)

Telehealth mindful exercise for people with knee osteoarthritis: A decentralized feasibility randomized controlled trial

Objective

Negative psychological beliefs like fear avoidance and catastrophizing can interfere with exercise engagement in people with knee osteoarthritis (OA). Mindfulness, when integrated with exercise, could potentially address both psychological and physical impairments. Our objectives were to optimize and assess the feasibility of a novel telehealth, group-based mindful exercise intervention for people with knee OA.

Methods

We conducted a decentralized randomized controlled trial where participants (n ​= ​40) with symptomatic knee OA were randomized into mindful exercise (n ​= ​21) or exercise-only (n ​= ​19) groups. Both groups received supervised group-based interventions weekly for 8-weeks via Zoom. Primary outcomes were safety, fidelity, and feasibility of the mindful exercise intervention. Participants completed patient-reported outcomes (PRO) for pain, function, and psychological measures at baseline, week-8, and week-14.

Results

Participants were from 21 US states; >90% identified as having White race, 16% were from rural areas, and approximately 40% had an annual income < $50,000. At 8-weeks, mindful exercise and exercise groups had retention rates of 86% (18/21) and 100% (19/19), and attendance was 54% (11.4/21) and 68% (13/19) respectively. There were no adverse events in the mindful exercise group and four in the exercise group related to exacerbation of knee pain. Preliminary findings showed numerically larger improvements in several PROs for the mindful exercise group.

Conclusion

An 8-week telehealth, group-based, mindful exercise intervention was safe for people with knee OA. Our decentralized approach was feasible in terms of recruitment and retention. Further refinement is needed to improve intervention attendance and participant diversity.

Telehealth-Supported Exercise or Physical Activity Programs for Knee Osteoarthritis: Systematic Review and Meta-Analysis

BACKGROUND

The integration of telehealth-supported programs in chronic disease management has become increasingly common. However, its effectiveness for individuals with knee osteoarthritis (KOA) remains unclear.

OBJECTIVE

This study aimed to assess the effectiveness of telehealth-supported exercise or physical activity programs for individuals with KOA.

METHODS

A comprehensive literature search encompassing Embase, MEDLINE, CENTRAL, Web of Science, PubMed, Scopus, PEDro, GreyNet, and medRxiv from inception to September 2023 was conducted to identify randomized controlled trials comparing telehealth-supported exercise or physical activity programs to a control condition for KOA. Data were extracted and qualitatively synthesized across eligible studies, and a meta-analysis was performed to evaluate the effects. The study was reported according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020.

RESULTS

In total, 23 studies met eligibility criteria, with 20 included in the meta-analysis. Results showed that telehealth-supported exercise or physical activity programs reduced pain (g=-0.39; 95% CI -0.67 to -0.11; P<.001), improved physical activity (g=0.13; 95% CI 0.03-0.23; P=.01), and enhanced physical function (g=-0.51; 95% CI -0.98 to -0.05; P=.03). Moreover, significant improvements in quality of life (g=0.25; 95% CI 0.14-0.36; P<.001), self-efficacy for pain (g=0.72; 95% CI 0.53-0.91; P<.001), and global improvement (odds ratio 2.69, 95% CI 1.41-5.15; P<.001) were observed. However, self-efficacy for physical function (g=0.14; 95% CI -0.26 to 0.53; P=.50) showed insignificant improvements. Subgroup analyses based on the World Health Organization classification of digital health (pain: χ22=6.5; P=.04 and physical function: χ22=6.4; P=.04), the type of teletechnology in the intervention group (pain: χ24=4.8; P=.31 and function: χ24=13.0; P=.01), and active or inactive controls (pain: χ21=5.3; P=.02 and physical function: χ21=3.4; P=.07) showed significant subgroup differences.

CONCLUSIONS

Telehealth-supported exercise or physical activity programs might reduce knee pain and improve physical activity, physical function, quality of life, self-efficacy, and global improvement in individuals with KOA. Future research should consider longer implementation durations and assess the feasibility of incorporating wearables and standardized components into large-scale interventions to evaluate the effects.

TRIAL REGISTRATION

PROSPERO CRD42022359658; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=359658.

Perceptions about smartphone-based interventions to promote physical activity in inactive adults with knee pain - A qualitative study

PURPOSE

Smartphone-based interventions offer a promising approach to address inactivity in people with knee osteoarthritis (OA). We explored perceptions towards smartphone-based interventions to improve physical activity, pain, and depressed mood in inactive people with knee pain.

METHODS

This qualitative study included six focus groups at Boston University with inactive people with knee pain (n = 35). A smartphone app, developed by our team, using constructs of Social Cognitive Theory, was used to obtain participant feedback.

RESULTS

Participants discussed wanting to use smartphone-based interventions for personalized exercise advice, for motivation (e.g., customized voice messages, virtual incentives), and to make exercise "less boring" (e.g., music, virtual gaming). Preferred app features included video tutorials on how to use the app, the ability to select information that can be viewed on the home screen, and the ability to interact with clinicians. Features that received mixed responses included daily pain tracking, daily exercise reminders, peer-interaction for accountability, and peer-competition for motivation. All participants discussed privacy and health data security concerns while using the app.

CONCLUSIONS

Using a co-design approach, we report preferences and concerns related to using smartphone-based physical activity interventions in inactive people with knee pain. This information may help improve acceptability of such interventions in this population.

Prehabilitation: The underutilised weapon for chronic pain management

Objective

Prehabilitation encompasses preparatory clinical intervention(s) delivered during the period between diagnosis and treatment commencement. Despite widespread successful usage preoperatively, psychological prehabilitation is neglected in outpatient chronic pain management. Although pain management waitlists are associated with treatment attrition and psychological and physical decline, this time window is underutilised in preventing escalation. Waitlists present an under-explored opportunity to 'prehabilitate' patients waiting for treatment. This topical review aimed to: (1) examine the effectiveness of psychological prehabilitation for pain services; (2) evaluate the psychological and physical decline associated with waiting for pain management; (3) highlight key psychological prehabilitative targets for increasing treatment engagement; (4) promote pain management psychological prehabilitation within personalised pain medicine, building recommendations for future interventions.

Methods

Studies regarding the impact of waitlists and prehabilitation for chronic pain were reviewed.

Results

Findings demonstrated that the psychological constructs of patient expectations, health locus of control, self-efficacy and pain catastrophizing dynamically influence attrition, treatment engagement and outcomes while waiting. These constructs are amenable to change, emphasising their potential utility within a targeted waitlist intervention.

Conclusions

Prehabilitating chronic pain patients towards treatment engagement could circumvent cycles of failed treatment seeking, preventing psychological and physical decline, and reducing healthcare utilisation. Utilising the waitlist to identify psychosocial risk factors (external health locus of control, low self-efficacy and high pain catastrophizing) would identify who requires additional support to prevent increased risk of treatment failure, enhancing personalised care before prescribed treatment is accessed. This review cements the urgent need for pain services to engage proactively with prehabilitation innovation.

Feasibility and acceptability of a telerehabilitation intervention on patients undergoing total knee arthroplasty in Iran: randomised controlled trial protocol

INTRODUCTION

Telerehabilitation is a promising avenue to enhance post-total knee arthroplasty (TKA) rehabilitation by improving accessibility, convenience and cost-effectiveness. Despite its potential benefits, its application in the context of TKA in Iran is in its early stages, lacking comprehensive studies on feasibility, acceptance and programme adherence. This article outlines a protocol for an open-label, parallel-group, randomised controlled trial investigating the impact of a 4 week telerehabilitation programme alongside usual care.

METHODS

Thirty patients (aged 50-90) undergoing TKA for severe Knee Osteoarthritis at Atiyeh Hospital in Tehran, Iran, will be recruited using block randomisation. Participants will be assigned to either the intervention group, receiving telerehabilitation or the control group without telerehabilitation. The intervention will include virtual physiotherapy sessions thrice weekly, lasting 30-45 min each, over 4 weeks. The primary objective is to assess the feasibility and acceptability of telerehabilitation, measured through recruitment and attrition rates, questionnaire completion rates, patient satisfaction using appropriate questionnaire and adherence to the intervention. Secondary outcomes encompass four Knee Injury and Osteoarthritis Outcome Score questionnaire subscales (function in Activities of Daily Living, Pain, Symptoms, Quality of Life). Patient global assessment will use a standardised question. An online survey will evaluate walking assistant device usage, exercise adherence and adverse events. The number of individuals receiving in-person rehabilitation will be documented after the first postoperative surgeon visit. Assessments occur at baseline and 4 weeks postsurgery.

ANALYSIS

Statistical analysis, including independent samples t-test, paired samples t-test, χ2 test, Fisher's exact test, analysis of covariance and multiple linear regression, will use SPSS software version 16, with significance set at p<0.05.

ETHICS AND DISSEMINATION

Approved by AJA University of Medical Sciences Ethics Committee (IR.AJAUMS.REC.1402.126), trial results will be presented to relevant groups and published in peer-reviewed journals.

TRIAL REGISTRATION NUMBER

TCTR20231020004.

Digital Self-Management, Analgesic Use, and Patient-Reported Outcomes in Knee or Hip Osteoarthritis

OBJECTIVE

To investigate changes in analgesic use before and after participation in a digital first-line treatment program (exercise, patient education) in persons with knee or hip osteoarthritis (OA) and to explore associations between these changes in medication use and participant-reported pain and function.

DESIGN

Retrospective cohort study with pre-post measures.

SETTING

Community setting.

PARTICIPANTS

Individuals (N=4100; mean age ± SD, 64.5±9.3y; 73.3% women) participating in the digital program.

INTERVENTIONS

A digital supervised education and exercise therapy.

MAIN OUTCOME MEASURES

Self-reported analgesic use for knee/hip pain during the past month at baseline and 12-week follow-up, knee/hip numeric rating scale pain (0-10, a higher value indicating more pain), and Knee Injury and Osteoarthritis Outcome Score 12 or Hip Disability and Osteoarthritis Outcome Score 12 function subscale (0-100, higher values indicating better function). McNemar test, multivariable logistic regression, and linear random intercept model were used for statistical analyses.

RESULTS

Among participants, 61.4% and 49.4% were analgesic users at baseline and 12-week follow-up, respectively, (absolute reduction 12.0%; 95% confidence interval, 10.5-13.5). Being female, having hip OA, lower education, higher body mass index, living outside large metropolitan cities, coexisting rheumatoid arthritis, and walking difficulties were associated with higher odds of analgesic use at baseline. At both time points, persons not using analgesics at the time reported better outcomes. All groups but "new users" experienced improvements in their pain and function following participation in digital program with the greatest improvements observed among "quitters."

CONCLUSIONS

Engaging in a digital exercise and patient education program as a primary treatment for knee or hip OA was associated with a reduction in the use of analgesics. The greatest improvements were seen for those who stopped analgesic use. These results highlight the importance of providing effective first-line treatment to people with knee or hip OA.

Rehabilitation Applications Based on Behavioral Therapy for People With Knee Osteoarthritis: Systematic Review

BACKGROUND

The development of digital applications based on behavioral therapies to support patients with knee osteoarthritis (KOA) has attracted increasing attention in the field of rehabilitation. This paper presents a systematic review of research on digital applications based on behavioral therapies for people with KOA.

OBJECTIVE

This review aims to describe the characteristics of relevant digital applications, with a special focus on the current state of behavioral therapies, digital interaction technologies, and user participation in design. The secondary aim is to summarize intervention outcomes and user evaluations of digital applications.

METHODS

A systematic literature search was conducted using the keywords "Knee Osteoarthritis," "Behavior Therapy," and "Digitization" in the following databases (from January 2013 to July 2023): Web of Science, Embase, Science Direct, Ovid, and PubMed. The Mixed Methods Assessment Tool (MMAT) was used to assess the quality of evidence. Two researchers independently screened and extracted the data.

RESULTS

A total of 36 studies met the inclusion criteria and were further analyzed. Behavioral change techniques (BCTs) and cognitive behavioral therapy (CBT) were frequently combined when developing digital applications. The most prevalent areas were goals and planning (n=31) and repetition and substitution (n=27), which were frequently used to develop physical activity (PA) goals and adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email (n=12), which has tremendous potential. This area of application design offers notable advantages, primarily manifesting in pain mitigation (n=24), reduction of physical dysfunction (n=21), and augmentation of PA levels (n=12). Additionally, when formulating design strategies, it is imperative to consider the perspectives of stakeholders, especially in response to the identified shortcomings in application design elucidated within the study.

CONCLUSIONS

The results demonstrate that "goals and planning" and "repetition and substitution" are frequently used to develop PA goals and PA behavior adherence. The most prevalent combination strategy was app/website plus SMS text message/telephone/email, which has tremendous potential. Moreover, incorporating several stakeholders in the design and development stages might enhance user experience, considering the distinct variations in their requirements. To improve the efficacy and availability of digital applications, we have several proposals. First, comprehensive care for patients should be ensured by integrating multiple behavioral therapies that encompass various aspects of the rehabilitation process, such as rehabilitation exercises and status monitoring. Second, therapists could benefit from more precise recommendations by incorporating additional intelligent algorithms to analyze patient data. Third, the implementation scope should be expanded from the home environment to a broader social community rehabilitation setting.

Opportunities to optimise care and choice in joint replacement surgery using a digitally delivered, holistic PreHab pathway

PURPOSE

To describe the implementation and evaluation of a hospital-initiated, community-based, digital prehabilitation program (My PreHab Program: MPP) for adults referred for elective joint replacement.

METHODS

MPP was implemented July 2022 and comprises a personalised digital health screen that guides the provision of self-management resources. Adults (>18 years) referred and accepted, or already waitlisted, for total knee/hip replacement surgery were eligible. Individuals requiring category 1 (urgent) or emergency surgery and those without a mobile phone were excluded. Implementation and intervention outcome measures (program adoption, equity of reach, fidelity, acceptability, appropriateness, feasibility, engagement, preliminary surgical outcomes) were explored via study-specific measures and hospital records.

RESULTS

Of those invited (N = 689), 77.8% participated. Participants and non-participants were similar in key demographic variables except regional invitees were more likely to participate than metropolitan (88.0% vs 75.4%, p = .002) and non-participants tended to be older (median age = 69.0 vs 64.0, p = .005). Participants reported on average four modifiable risk factors: most commonly chronic pain (79.1%), obesity (57.3%), and frailty (40.9%). Most participants (80.4%) reviewed all resources provided and reported action/intention to address issues identified (90.9%). Participants perceived MPP as acceptable (3.2/5), appropriate (3.3/5), and feasible (3.4/5). Early trends for participants progressing to surgery (n = 33) show a reduced length of stay (MPP = 4.3, baseline = 5.3 days).

CONCLUSION

MPP demonstrated high adoption, fidelity, and participant engagement. It is acceptable, appropriate and feasible and has the potential to be scaled-up digitally at low-cost. Modifiable risk factors were prevalent and early indications suggest this preoperative intervention may benefit both patients and the healthcare system.

If You Build It, Will They Come? Patient and Provider Use of a Novel Hybrid Telehealth Care Pathway for Low Back Pain

OBJECTIVE

The purpose of this study was to describe the referrals and use of a hybrid care model for low back pain that includes on-site care by physical therapists, physical activity training, and psychologically informed practice (PiP) delivered by telehealth in the Improving Veteran Access to Integrated Management of Low Back Pain (AIM-Back) trial.

METHODS

Data were collected from November 2020 through February 2023 from 5 Veteran Health Administration clinics participating in AIM-Back, a multisite, cluster-randomized embedded pragmatic trial. The authors extracted data from the Veteran Health Administration Corporate Data Warehouse to describe referral and enrollment metrics, telehealth use (eg, distribution of physical activity and PiP calls), and treatments used by physical therapists and telehealth providers.

RESULTS

Seven hundred one veterans were referred to the AIM-Back trial with 422 enrolling in the program (consult-to-enrollment rate = 60.2%). After travel restrictions were lifted, site visits resulted in a significant increase in referrals and a number of new referring providers. At initial evaluation by on-site physical therapists, 92.2% of veterans received pain modulation (eg, transcutaneous electrical nerve stimulation, manual therapy). Over 81% of enrollees completed at least 1 telehealth physical activity call, with a mean of 2.8 (SD = 2.0) calls out of 6. Of the 167 veterans who screened as medium to high risk of persistent disability, 74.9% completed at least 1 PiP call, with a mean of 2.5 (SD = 2.0) calls out of 6. Of those who completed at least 1 PiP call (n = 125), 100% received communication strategies, 97.6% received pain coping skills training, 89.6% received activity-based treatments, and 99.2% received education in a home program.

CONCLUSION

In implementing a hybrid care pathway for low back pain, the authors observed consistency in the delivery of core components (ie, pain modulation, use of physical activity training, and risk stratification to PiP), notable variability in telehealth calls, high use of PiP components, and increased referrals with tailored provider engagement.

IMPACT

These findings describe variability occurring within a hybrid care pathway and can inform future implementation efforts.

Supporting patients to prepare for total knee replacement: Evidence-, theory- and person-based development of a 'Virtual Knee School' digital intervention

INTRODUCTION

Digital delivery of pre-operative total knee replacement (TKR) education and prehabilitation could improve patient outcomes pre- and post-operatively. Rigorously developing digital interventions is vital to help ensure they achieve their intended outcomes whilst mitigating their potential drawbacks.

OBJECTIVE

To develop a pre-operative TKR education and prehabilitation digital intervention, the 'Virtual Knee School' (VKS).

METHODS

The VKS was developed using an evidence-, theory- and person-based approach. This involved a mixed methods design with four phases. The first three focused on planning the VKS. The final phase involved creating a VKS prototype and iteratively refining it through concurrent think-aloud interviews with nine patients who were awaiting/had undergone TKR. Meta-inferences were generated by integrating findings from all the phases. ISRCTN registration of the overall project was obtained on 24 April 2020 (ISRCTN11759773).

RESULTS

Most participants found the VKS prototype acceptable overall and considered it a valuable resource. Conversely, a minority of participants felt the prototype's digital format or content did not meet their individual needs. Participants' feedback was used to refine the prototype's information architecture, design and content. Two meta-inferences were generated and recommend: 1. Comprehensive pre-operative TKR education and prehabilitation support should be rapidly accessible in digital and non-digital formats. 2. Pre-operative TKR digital interventions should employ computer- and self-tailoring to account for patients' individual needs and preferences.

CONCLUSIONS

Integrating evidence, theory and stakeholders' perspectives enabled the development of a promising VKS digital intervention for patients awaiting TKR. The findings suggest future research evaluating the VKS is warranted and provide recommendations for optimising pre-operative TKR care.

PATIENT OR PUBLIC CONTRIBUTION

Patient and Public Involvement (PPI) was central throughout the project. For example, PPI representatives contributed to the project planning, were valued members of the Project Advisory Group, had key roles in developing the VKS prototype and helped disseminate the project findings.

Effect of the telemedicine-supported multicomponent exercise therapy in patients with knee osteoarthritis: study protocol for a randomized controlled trial

INTRODUCTION

The rising prevalence of knee osteoarthritis is placing a considerable strain on the global healthcare system. To address this issue, telemedicine-supported multicomponent exercise therapy has emerged as a promising approach. This therapy combines exercise, patient education, and health coaching to empower knee osteoarthritis patients to manage their condition from the comfort of their homes. Nevertheless, there are some existing limitations in the current research on this approach, including challenges related to patient compliance and the absence of objective evaluation methods.

METHODS AND ANALYSIS

Patients diagnosed with knee osteoarthritis, who have not undergone knee surgery in the past year, will be recruited for a randomized controlled trial. The trial will include an intervention group and a control group. The intervention group will receive an mHealth app-based multicomponent exercise therapy, consisting of exercise therapy, patient education, and health coaching. Meanwhile, the control group will receive usual care, involving drug therapy and patient education. The primary outcome of the trial will be the measurement of pain intensity, assessed using a visual analog scale at baseline and at 4, 8, and 12 weeks of the post-intervention. To analyze the data, a two-factor, four-level repeated measures ANOVA will be used if the assumptions of homogeneity of variance and sphericity are met. If not, a mixed effects model will be employed.

DISCUSSION

The aim of the study is to evaluate the effectiveness of multicomponent exercise therapy aimed at enhancing pain self-management for knee osteoarthritis patients in the comfort of their own homes. The intervention incorporate wearable devices equipped with advanced deep learning systems to monitor patients' adherence to the prescribed at-home exercise regimen, as well as to track changes in outcomes before and after the exercise sessions. The findings from this trial have the potential to enhance both the accessibility and quality of care provided to knee osteoarthritis patients, offering valuable insights for future improvements in their treatment and management.

TRIAL REGISTRATION

Chinese Clinical Trials Registry, ChiCTR2300073688. Registered on 19 July 2023, https://www.chictr.org.cn/bin/project/edit?pid=199707 . World Health Organization International Clinical Trials Registry Platform, https://trialsearch.who.int/Trial2.aspx?TrialID=ChiCTR2300073688 .

The impact of eHealth on relationships and trust in primary care: a review of reviews

BACKGROUND

Given the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships.

METHODS

A review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed.

RESULTS

A total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively.

CONCLUSIONS

Recommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers' and policymakers' decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.

Artificial Intelligence Models in Health Information Exchange: A Systematic Review of Clinical Implications

Electronic health record (EHR) systems collate patient data, and the integration and standardization of documents through Health Information Exchange (HIE) play a pivotal role in refining patient management. Although the clinical implications of AI in EHR systems have been extensively analyzed, its application in HIE as a crucial source of patient data is less explored. Addressing this gap, our systematic review delves into utilizing AI models in HIE, gauging their predictive prowess and potential limitations. Employing databases such as Scopus, CINAHL, Google Scholar, PubMed/Medline, and Web of Science and adhering to the PRISMA guidelines, we unearthed 1021 publications. Of these, 11 were shortlisted for the final analysis. A noticeable preference for machine learning models in prognosticating clinical results, notably in oncology and cardiac failures, was evident. The metrics displayed AUC values ranging between 61% and 99.91%. Sensitivity metrics spanned from 12% to 96.50%, specificity from 76.30% to 98.80%, positive predictive values varied from 83.70% to 94.10%, and negative predictive values between 94.10% and 99.10%. Despite variations in specific metrics, AI models drawing on HIE data unfailingly showcased commendable predictive proficiency in clinical verdicts, emphasizing the transformative potential of melding AI with HIE. However, variations in sensitivity highlight underlying challenges. As healthcare's path becomes more enmeshed with AI, a well-rounded, enlightened approach is pivotal to guarantee the delivery of trustworthy and effective AI-augmented healthcare solutions.

Assessing the importance of predictors of adherence to a digital self‑management intervention for osteoarthritis

OBJECTIVE

Treatment adherence is suggested to be associated with greater improvement in patient outcomes. Despite the growing use of digital therapeutics in osteoarthritis management, there is limited evidence of person-level factors influencing adherence to these interventions in real-world settings. We aimed to determine the relative importance of factors influencing adherence to a digital self-management intervention for hip/knee osteoarthritis.

METHODS

We obtained data from people participating in a digital OA treatment, known as Joint Academy, between January 2019 and September 2021. We collected data on the participants' adherence, defined as the percentage of completed activities (exercises, lessons, and quizzes), at 3 (n = 14,610)- and 12-month (n = 2682) follow-up. We used dominance and relative weight analyses to assess the relative importance of sociodemographic (age, sex, place of residence, education, year of enrolment), lifestyle (body mass index, physical activity), general health (comorbidity, overall health, activity impairment, anxiety/depression), and osteoarthritis-related (index joint, fear of moving, walking difficulties, pain, physical function, wish for surgery, Patient Acceptable Symptom State) factors, measured at baseline, in explaining variations in adherence. We used bootstrap (1000 replications) to compute 95% confidence intervals.

RESULTS

Mean (SD) adherences at 3 and 12 months were 86.3% (16.1) and 84.1% (16.7), with 75.1% and 70.4% of participants reporting an adherence ≥ 80%, respectively. The predictors included in the study explained only 5.6% (95% CI 5.1, 6.6) and 8.1% (7.3, 11.6) of variations in 3- and 12-month adherences, respectively. Sociodemographic factors were the most important predictors explaining more variations than other factors altogether. Among single factors, age with a nonlinear relationship with adherence, was the most important predictor explaining 2.3% (95% CI 1.9, 2.8) and 3.7% (2.4, 5.3) of variations in 3- and 12-month adherences, respectively.

CONCLUSION

Person-level factors could only modestly explain the variations in adherence with sociodemographic characteristics, mainly age, accounting for the greatest portion of this explained variance.

Effect of a mHealth exercise intervention compared with supervised exercise therapy in osteoarthritis management: protocol of the DigiOA trial

INTRODUCTION

Soaring prevalence of hip and knee osteoarthritis (OA) inflicts high costs on the healthcare system. A further rise in the OA incidence is expected, generating increased demand of care potentially challenging accessibility and threatening to overwhelm the healthcare system. Innovative solutions that may improve accessibility to recommended OA care for patients in primary care and maintain healthcare sustainability are warranted. Digitalising home exercise therapy may be one such solution. The primary aim of this study is to evaluate the effectiveness of a mobile health app providing digitalised home exercises, compared with supervised exercise therapy in patients with OA. Second, we will evaluate the cost-efficiency of the intervention and explore potential differences in outcome and adherence to exercises in the experimental treatment group.

METHODS AND ANALYSIS

A two-armed non-inferiority randomised controlled trial will be conducted. In total, 156 patients with hip and/or knee OA will be recruited from physiotherapy clinics in primary care in Norway. Following patient education, patients will be randomised to either 6 weeks of standard treatment (2 weekly sessions of supervised exercise therapy) or experimental treatment (home exercises via the Virtual Training (VT) app). Primary outcome is the proportion of Outcome Measures in Rheumatology-Osteoarthritis Research Society International (OMERACT-OARSI) responders at 6 weeks. Secondary outcomes include physical performance, patient-reported outcomes related to pain, fatigue, disease activity, physical function, mental health, health related quality of life, self-efficacy, utilisation of healthcare services and medication, digital competence and use of apps.

ETHICS AND DISSEMINATION

Patients will sign an informed consent form before participating in the trial. Approval has been granted by the Regional Ethics Committee (201105) and Data Protection Officer at Diakonhjemmet Hospital (00221). Patient research partners will contribute in all parts of the study.

TRIAL REGISTRATION NUMBER

NCT04767854.