Melbourne School of Health Sciences Collected Works - Research Publications

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    Exercise adherence Mobile app for Knee Osteoarthritis: protocol for the MappKO randomised controlled trial
    Hinman, RS ; Nelligan, RK ; Campbell, PK ; Kimp, AJ ; Graham, B ; Merolli, M ; McManus, F ; Lamb, KE ; Bennell, KL (BMC, 2022-09-20)
    BACKGROUND: In people with knee osteoarthritis (OA), ongoing exercise participation, particularly with strengthening exercises, is central to management. Patient adherence to prescribed exercise typically declines once consultations with a clinician have ceased. Mobile applications (apps) can incorporate behaviour change techniques that may assist adherence, potentially optimising clinical outcomes. METHODS: This is a two-arm, pragmatic, superiority randomised trial. One hundred and eighty two Australians with chronic knee pain (clinical knee OA) and who have at least a mild level of physical dysfunction are being recruited. Participants are randomly allocated i) exercise (physiotherapist-prescribed exercise) or; ii) exercise plus app (physiotherapist-prescribed exercise plus access to the 'My Exercise Messages' mobile app). Exercise care comprises two videoconferencing consultations with a physiotherapist over two weeks (30 min each) for a strengthening exercise program, which is then conducted independently at home for 24 weeks without any further physiotherapist consultations. Participants are also provided with exercise resources to facilitate home-based exercise. Those randomised to exercise plus app will download the app after completing the two weeks of physiotherapy consultations and will be instructed by research staff to use the app for the 24 weeks of unsupervised home-based exercises. The app works by tracking completion of weekly exercise sessions, providing regular messages to facilitate weekly exercise and providing personalised messages to help overcome individual barriers to exercise participation. The two primary outcomes are i) self-reported physical function; and ii) number of days strengthening exercises were performed (previous fortnight), with a primary endpoint of 26 weeks and a secondary endpoint of 14 weeks. Secondary outcomes include knee pain severity; knee-related quality of life; global change; exercise program satisfaction; exercise self-efficacy; physical activity; sport and recreation function; another measure of exercise adherence; and willingness to undergo joint replacement. Process measures are also included. DISCUSSION: Findings will determine if a theory-informed mobile app improves exercise adherence and physical function in people with knee OA who have received a home-based strengthening program. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry, ACTRN12621000724875. Prospectively registered 9/06/2021.
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    Patient-Facing Mobile Apps to Support Physiotherapy Care: Protocol for a Systematic Review of Apps Within App Stores
    Merolli, M ; Francis, JJ ; Vallance, P ; Bennell, KL ; Malliaras, P ; Hinman, RS (JMIR PUBLICATIONS, INC, 2021-12)
    BACKGROUND: Care delivered by physiotherapists aims to facilitate engagement in positive health behaviors by patients (eg, adherence to exercise). However, research suggests that behavioral interventions are frequently omitted from care. Hence, better understanding of strategies that can be used by physiotherapists to support patients to engage in positive behaviors is important and likely to optimize outcomes. Digital health interventions delivered via mobile apps are garnering attention for their ability to support behavior change. They have potential to incorporate numerous behavior change techniques (BCTs) to support goals of physiotherapy care, including but not limited to self-monitoring, goal setting, and prompts/alerts. Despite their potential to support physiotherapy care, much is still unknown about what apps are available to consumers, the BCTs they use, their quality, and their potential to change behaviors. OBJECTIVE: The primary aim of this study is to systematically review the mobile apps available in app stores that are intended for use by patients to support physiotherapy care, including the BCTs within these apps. The secondary aims are to evaluate the quality and behavior change potential of these apps. METHODS: A systematic review of mobile apps in app stores will be undertaken. This will be guided by recommendations for systematic reviews in line with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement but adapted to suit our app store search, consistent with similar systematic reviews of apps published in the Journal of Medical Internet Research. Apple Store and Google Play will be searched with a two-step search strategy, using terms relevant to physiotherapy, physiotherapists, and common physiotherapy care. Key eligibility criteria will include apps that are intended for use by patients and are self-contained or stand-alone without the need of additional wearable devices or other add-ons. Included apps will be coded for BCTs and rated for quality using the Mobile Application Rating Scale (MARS) and for potential to change behavior using the App Behavior Change Scale (ABACUS). RESULTS: App store search and screening are expected to be completed in 2021. Data extraction and quality appraisal are expected to commence by November 2021. The study results are expected to be published in a subsequent paper in 2022. CONCLUSIONS: Knowledge gained from this review will support clinical practice and inform research by providing a greater understanding of the quality of currently available mobile apps and their potential to support patient behavior change goals of physiotherapy care. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/29047.
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    Use, and acceptability, of digital health technologies in musculoskeletal physical therapy: A survey of physical therapists and patients
    Merolli, M ; Gray, K ; Choo, D ; Lawford, BJ ; Hinman, RS (WILEY, 2022-09)
    OBJECTIVES: Determine (a) frequency of digital health use to obtain/record clinical information (pre-COVID-19); (b) willingness to use digital technologies among physical therapists and patients with musculoskeletal conditions. METHODS: 102 physical therapists, and 103 patients were recruited in Australia. An electronic survey ascertained (a) demographic/clinical characteristics, (b) frequency of methods to obtain and record clinical information; (c) willingness to use digital technologies to support musculoskeletal care. RESULTS: Physical therapists mostly used non-digital methods to obtain subjective (e.g., face-to-face questioning, n = 98; 96.1%) and objective information (e.g., visual estimation, n = 95; 93.1%). The top three digital health technologies most frequently used by therapists: photo-based image capture (n = 19; 18.6%), accessing information logged/tracked by patients into a mobile app (n = 14; 13.7%), and electronic systems to capture subjective information that the patient fills in (n = 13; 12.7%). The top three technologies used by patients: activity trackers (n = 27; 26.2%), logging/tracking health information on mobile apps or websites (n = 12; 11.7%), and entering information on a computer (n = 12; 7.8%). Physical therapists were most willing to use technologies for: receiving diagnostic imaging results (n = 99; 97.1%), scheduling appointments (n = 92; 90.2%) and capturing diagnostic results (n = 92; 90.2%). Patients were most willing to use technologies for receiving notifications about health test results (n = 91; 88.4%), looking up health information (n = 83; 80.6%) and receiving personalised alerts/reminders (n = 80; 77.7%). CONCLUSIONS: Physical therapists and patients infrequently use digital health technologies to support musculoskeletal care, but expressed some willingness to consider using them for select functions.
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    Digital Health Interventions in Physiotherapy: Development of Client and Health Care Provider Survey Instruments
    Merolli, M ; Hinman, RS ; Lawford, BJ ; Choo, D ; Gray, K (JMIR PUBLICATIONS, INC, 2021-07)
    BACKGROUND: The advancement of digital health has widened the scope of technology use across multiple frontiers of health care services, including personalized therapeutics, mobile health, eHealth record management, and telehealth consultations. The World Health Organization (WHO) responded to this in 2018 by publishing an inaugural broad classification framework of digital health interventions (DHIs) used to address contemporary health system needs. OBJECTIVE: This study aims to describe the systematic development of dual survey instruments (clinician and patient) to support data collection, administered in a physiotherapy setting, about perceptions toward DHIs. This is achieved by adapting the WHO framework classification for DHIs for application in real-world research. METHODS: Using a qualitative item review approach, WHO DHI descriptors were adapted and refined systematically to be used in a survey form. This approach was designed to align with the processes of delivering and receiving care in clinical practice, using musculoskeletal physiotherapy as a practical case scenario. RESULTS: Complementary survey instruments (for health care providers and clients) were developed by adapting descriptor items. These instruments will be used in a larger study exploring the willingness of physiotherapists and patients to use digital technologies in the management of musculoskeletal conditions. CONCLUSIONS: This study builds on the WHO-standardized DHI framework. We developed dual novel survey instruments by adapting and refining the functions of DHIs. These may be deployed to explore the perceived usefulness and application of DHIs for different clinical care functions. Researchers may wish to use these survey instruments to examine digital health use systematically in a variety of clinical fields or technology scenarios in a way that is standardized and generalizable.