Melbourne School of Health Sciences Collected Works - Research Publications

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    Do Social Media Impact Young Adult Mental Health and Well-Being? A Qualitative Study
    Dodemaide, P ; Merolli, M ; Hill, N ; Joubert, L (OXFORD UNIV PRESS, 2022-12-02)
    Abstract The Social Work profession recognises the ethical and educational implications of social media usage but remains cautious in embracing the technology in the context of clinical practice. Social media platforms allow their users to share thoughts, opinions, experiences, information, develop online communities and access social and emotional support. Social media-focused research in the mental health context has described the risk of vulnerable populations using social media. However, there is a dearth of research examining the lived experiences of young adult social media users or addressing both the perceived risks and benefits. Social Work clinicians need to understand the experience of clients and be able to respond to questions or challenges that service users using social media experience. Deploying inductive thematic content analysis, this study presents the qualitative findings of an online survey eliciting the experience of young adult social media users. Young adults reported varying perspectives, including preferences for anonymity, how social media is employed and consideration that specific platforms are either helpful or harmful. Results are discussed with consideration given to existing literature. This article contributes to the evidence-base for social work and other disciplines, allowing for a greater phenomenological understanding of young adults’ use of social media.
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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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    Patient education improves pain and function in people with knee osteoarthritis with better effects when combined with exercise therapy: a systematic review
    Goff, AJ ; Silva, DDO ; Merolli, M ; Bell, EC ; Crossley, KM ; Barton, CJ (AUSTRALIAN PHYSIOTHERAPY ASSOC, 2021-07)
    QUESTION: Is patient education effective as a standalone intervention or combined with other interventions for people with knee osteoarthritis? DESIGN: Systematic review of randomised controlled trials. MEDLINE, EMBASE, SPORTDiscus, CINAHL and Web of Science were searched from inception to April 2020. The Cochrane Risk of Bias tool was used for included studies, and Grading of Recommendations, Assessment, Development and Evaluations (GRADE) was used to interpret certainty of results. PARTICIPANTS: People with knee osteoarthritis. INTERVENTION: Any patient education intervention compared with any non-pharmacological comparator. OUTCOME MEASURES: Primary outcomes were self-reported pain and function. RESULTS: Twenty-nine trials involving 4,107 participants were included, informing low to very-low certainty evidence. Nineteen of 28 (68%) pooled comparisons were not statistically significant. Patient education was superior to usual care for pain (SMD -0.35, 95% CI -0.56 to -0.14) and function in the short term (-0.31, 95% CI -0.62 to 0.00), but inferior to exercise therapy for pain in the short term (0.77, 95% CI 0.07 to 1.47). Combining patient education with exercise therapy produced superior outcomes compared with patient education alone for pain in the short term (0.44, 95% CI 0.19 to 0.69) and function in the short (0.81, 95% CI 0.54 to 1.08) and medium term (0.39, 95% CI 0.15 to 0.62). When using the Western Ontario and McMaster Universities Osteoarthritis Index for these comparisons, clinically important differences indicated that patient education was inferior to exercise therapy for pain in the short term (MD 1.56, 95% CI 0.14 to 2.98) and the combination of patient education and exercise therapy for function in the short term (8.94, 95% CI 6.05 to 11.82). CONCLUSION: Although patient education produced statistically superior short-term pain and function outcomes compared with usual care, differences were small and may not be clinically important. Patient education should not be provided as a standalone treatment and should be combined with exercise therapy to provide statistically superior and clinically important short-term improvements in function compared with education alone. REGISTRATION: PROSPERO CRD42019122004.
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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.
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    ?It ? s not hands-on therapy, so it ? s very limited ? : Telehealth use and views among allied health clinicians during the coronavirus pandemic *
    Malliaras, P ; Merolli, M ; Williams, CM ; Caneiro, JP ; Haines, T ; Barton, C (ELSEVIER, 2021-04)
    BACKGROUND: Telehealth services have helped enable continuity of care during the coronavirus pandemic. We aimed to investigate use and views towards telehealth among allied health clinicians treating people with musculoskeletal conditions during the pandemic. METHODS: Cross-sectional international survey of allied health clinicians who used telehealth to manage musculoskeletal conditions during the coronavirus pandemic. Questions covered demographics, clinician-related factors (e.g. profession, clinical experience and setting), telehealth use (e.g. proportion of caseload, treatments used), attitudes towards telehealth (Likert scale), and perceived barriers and enablers (open questions). Data were presented descriptively, and an inductive thematic content analysis approach was used for qualitative data, based on the Capability-Opportunity-Motivation Behavioural Model. RESULTS: 827 clinicians participated, mostly physiotherapists (82%) working in Australia (70%). Most (71%, 587/827) reported reduced revenue (mean (SD) 62% (24.7%)) since the pandemic commenced. Median proportion of people seen via telehealth increased from 0% pre (IQR 0 to 1) to 60% during the pandemic (IQR 10 to 100). Most clinicians reported managing common musculoskeletal conditions via telehealth. Less than half (42%) of clinicians surveyed believed telehealth was as effective as face-to-face care. A quarter or less believed patients value telehealth to the same extent (25%), or that they have sufficient telehealth training (21%). Lack of physical contact when working through telehealth was perceived to hamper accurate and effective diagnosis and management. CONCLUSION: Although telehealth was adopted by allied health clinicians during the coronavirus pandemic, we identified barriers that may limit continued telehealth use among allied health clinicians beyond the current pandemic.
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    'We are very individual': anticipated effects on stroke survivors of using their person-generated health data.
    Dimaguila, GL ; Batchelor, F ; Merolli, M ; Gray, K (BMJ Publishing Group, 2020-09-13)
    BACKGROUND: Person-generated health data (PGHD) are produced by people when they use health information technologies. People who use PGHD may experience changes in their health and care process, such as engagement with their own healthcare, and their sense of social support and connectedness. Research into evaluating those reported effects has not kept up; thus, a method for measuring PGHD outcomes was previously designed and applied to the exemplar case of Kinect-based stroke rehabilitation systems. A key step of the method ensures that the patient's voice is included. Allowing stroke survivors to participate in the development and evaluation of health services and treatment can inform healthcare providers on decisions about stroke care, and thereby improve health outcomes. OBJECTIVE: This paper presents the perspectives of stroke survivors and clinicians on the anticipated effects of stroke survivors' use of PGHD from a poststroke simulated rehabilitation technology. METHODS: This study gathered the perspectives of stroke survivors and clinicians through three focus groups and three interviews, recruited for convenience. Participants were also asked questions intended to encourage them to comment on the initial items of the patient-reported outcome measure-PGHD. Deductive thematic analysis was performed. RESULTS: This paper has further demonstrated that outcomes of using PGHD can be measured. For instance, stroke survivors described that using PGHD could result in positive, negative and nil effects on their health behaviours. Survivors and clinicians had varying perspectives in three of the six themes presented, and emphasise the importance of allowing stroke survivors to participate in the evaluation of digital health services.
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    Patient-Reported Outcome Measures of Utilizing Person-Generated Health Data in the Case of Simulated Stroke Rehabilitation: Development Method
    Dimaguila, GL ; Gray, K ; Merolli, M (JMIR Publications, 2020-05-01)
    Background: Person-generated health data (PGHD) are health data that people generate, record, and analyze for themselves. Although the health benefits of PGHD use have been reported, there is no systematic way for patients to measure and report the health effects they experience from using their PGHD. Patient-reported outcome measures (PROMs) allow patients to systematically self-report their outcomes of a health care service. They generate first-hand evidence of the impact of health care services and are able to reflect the real-world diversity of actual patients and management approaches. Therefore, this paper argues that a PROM of utilizing PGHD, or PROM-PGHD, is necessary to help build evidence-based practice in clinical work with PGHD. Objective: This paper aims to describe a method for developing PROMs for people who are using PGHD in conjunction with their clinical care—PROM-PGHD, and the method is illustrated through a case study. Methods: The five-step qualitative item review (QIR) method was augmented to guide the development of a PROM-PGHD. However, using QIR as a guide to develop a PROM-PGHD requires additional socio-technical consideration of the PGHD and the health technologies from which they are produced. Therefore, the QIR method is augmented for developing a PROM-PGHD, resulting in the PROM-PGHD development method. Results: A worked example was used to illustrate how the PROM-PGHD development method may be used systematically to develop PROMs applicable across a range of PGHD technology types used in relation to various health conditions. Conclusions: This paper describes and illustrates a method for developing a PROM-PGHD, which may be applied to many different cases of health conditions and technology categories. When applied to other cases of health conditions and technology categories, the method could have broad relevance for evidence-based practice in clinical work with PGHD.
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    Ethical Considerations for Participatory Health through Social Media: Healthcare Workforce and Policy Maker Perspectives.
    Rivera-Romero, O ; Konstantinidis, S ; Denecke, K ; Gabarrón, E ; Petersen, C ; Househ, M ; Merolli, M ; Mayer, MÁ (Georg Thieme Verlag KG, 2020-08)
    OBJECTIVES: To identify the different ethical issues that should be considered in participatory health through social media from different stakeholder perspectives (i.e., patients/service users, health professionals, health information technology (If) professionals, and policy makers) in any healthcare context. METHODS: We implemented a two-round survey composed of open ended questions in the first round, aggregated into a list of ethical issues rated for importance by participants in the second round, to generate a ranked list of possible ethical issues in participatory health based on healthcare professionals' and policy makers' opinions on both their own point of view and their beliefs for other stakeholders' perspectives. RESULTS: Twenty-six individuals responded in the first round of the survey. Multiple ethical issues were identified for each perspective. Data privacy, data security, and digital literacy were common themes in all perspectives. Thirty-three individuals completed the second round of the survey. Data privacy and data security were ranked among the three most important ethical issues in all perspectives. Quality assurance was the most important issue from the healthcare professionals' perspective and the second most important issue from the patients' perspective. Data privacy was the most important consideration for patients/service users. Digital literacy was ranked as the fourth most important issue, except for policy makers' perspective. CONCLUSIONS: Different stakeholders' opinions fairly agreed that there are common ethical issues that should be considered across the four groups (patients, healthcare professionals, health IT professionals, policy makers) such as data privacy, security, and quality assurance.