Evaluation of Patient-Facing Mobile Apps to Support Physiotherapy Care: Systematic Review.

BACKGROUND: Mobile health interventions delivered through mobile apps are increasingly used in physiotherapy care. This may be because of the potential of apps to facilitate changes in behavior, which is central to the aims of care delivered by physiotherapists. A benefit of using apps is their ability to incorporate behavior change techniques (BCTs) that can optimize the effectiveness of physiotherapeutic interventions. Research continues to suggest that despite their importance, behavior change strategies are often missing in patient management. Evaluating mobile apps that physiotherapists can use to drive behavior change may inform clinical practice and potentially improve patient outcomes. Examining the quality of apps and exploring their key features that can support behavior change and physiotherapy care are important aspects of such an evaluation. OBJECTIVE: The primary aim of this study was to describe the range of mobile apps in app stores that are intended for use by patients to support physiotherapy care. The secondary aims were to assess app quality, BCTs, and their behavior change potential. METHODS: A systematic review of mobile apps in app stores was undertaken. The Apple App Store and Google Play were searched using a 2-step search strategy, using terms relevant to the physiotherapy discipline. Strict inclusion and exclusion criteria were applied: apps had to be intended for use by patients and be self-contained (or stand-alone) without the requirement to be used in conjunction with a partner wearable device or another plugin. Included apps were coded for BCTs using the Behavior Change Technique Taxonomy version 1. App quality was assessed using the Mobile App Rating Scale, and the App Behavior Change Scale was used to assess the app's potential to change behavior. RESULTS: In total, 1240 apps were screened, and 35 were included. Of these 35 apps, 22 (63%) were available on both the Apple App Store and Google Play platforms. In total, 24 (69%) were general in their focus (eg, not condition-specific), with the remaining 11 (31%) being more specific (eg, knee rehabilitation and pelvic floor training). The mean app quality score (Mobile App Rating Scale) was 3.7 (SD 0.4) of 5 (range 2.8-4.5). The mean number of BCTs identified per app was 8.5 (SD 3.6). BCTs most frequently included in the apps were instruction on how to perform a behavior (n=32), action planning (n=30), and self-monitoring of behavior (n=28). The mean behavior change potential score (App Behavior Change Scale) was 8.5 (SD 3.1) of 21 (range 3-15). CONCLUSIONS: Mobile apps available to support patient care received from a physiotherapist are of variable quality. Although they contain some BCTs, the potential for behavior change varied widely across apps. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/29047.

Clinician- and Patient-Identified Solutions to Reduce the Fragmentation of Post-ICU Care in Australia.

BACKGROUND: Critical care survivors experience multiple care transitions, with no formal follow-up care pathway. RESEARCH QUESTION: What are the potential solutions to improve the communication between treating teams and integration of care following an ICU admission, from the perspective of patients, their caregivers, intensivists, and general practitioners (GPs) from diverse socioeconomic areas? STUDY DESIGN AND METHODS: This study included a qualitative design using semi-structured interviews with intensivists, GPs, and patients and caregivers. Framework analysis was used to analyze data and to identify solutions to improve the integration of care following hospital discharge. Patients were previously mechanically ventilated for > 24 h in the ICU and had access to a video-enabled device. Clinicians were recruited from hospital networks and a state-wide GP network. RESULTS: Forty-six interviews with clinicians, patients, and caregivers were completed (15 intensivists, 8 GPs, 15 patients, and 8 caregivers). Three higher level feedback loops were identified that comprised 10 themes. Feedback loop 1 was an ICU and primary care collaboration. It included the following: (1) developing collaborative relationships between the ICU and primary care; (2) providing interprofessional education and resources to support primary care; and (3) improving role clarity for patient follow-up care. Feedback loop 2 was developing mechanisms for improved communication across the care continuum. It included: (4) timely, concise information-sharing with primary care on post-ICU recovery; (5) survivorship-focused information-sharing across the continuum of care; (6) empowering patients and caregivers in self-management; and (7) creation of a care coordinator role for survivors. Feedback loop 3 was learning from post-ICU outcomes to improve future care. It included: (8) developing comprehensive post-ICU care pathways; (9) enhancing support for patients following a hospital stay; and (10) integration of post-ICU outcomes within the ICU to improve clinician morale and understanding. INTERPRETATION: Practical solutions to enhance the quality of survivorship for critical care survivors and their caregivers were identified. These themes are mapped to a novel conceptual model that includes key feedback loops for health system improvements and foci for future interventional trials to improve ICU survivorship outcomes.

'How Do I Test the Waters? How Do I Go Forward?': Co-designing a Supportive Pathway after Critical Illness.

Rationale: Long-term recovery following critical illness can be affected by Post-intensive Care Syndrome (PICS), a significant burden which can impact return to activities and work. There is need for streamlined support for Intensive Care Unit (ICU) patients in their recovery whilst enduring PICS symptoms. Objectives: To explore critical illness recovery from the experiences, perspectives, and beliefs of former ICU patients, their caregivers, and multidisciplinary clinicians to design a future rehabilitation pathway to support ICU patients. Methods: An experience-based co-design (EBCD) study underpinned by the Behaviour Change Wheel (BCW) framework involving ICU patients (

Digital Interventions and Their Unexpected Outcomes - Time for Digitalovigilance?

The application of digital interventions in healthcare beyond research has been translated in the development of software as a medical device. Along with corresponding regulations for medical devices, there is a need for assessing adverse events to conduct post-market surveillance and to appropriately label digital health interventions to ensure proper use and patient safety. To date unexpected consequences of digital health interventions are neglected or ignored, or at least remain undescribed in literature. This paper is intended to raise awareness across the research community about these upcoming challenges. We recommend that - together with developing a new research field of digitalovigilance - a systematic assessment and monitoring of adverse events and unexpected interactions be included in clinical trials, along with the reporting of such events and the conduct of meta-analyses on critical aspects.

Are physiotherapists expected to be competent in digital health practice? Meta-synthesis of international physiotherapy practice competency standards.

BACKGROUND: Digital health technology is progressively transforming physiotherapy practice. Despite a maturing body of literature relating to physiotherapy digital health capability, research examining digital health physiotherapy competency standards is both lacking and lagging. OBJECTIVE: Examine international professional practice competency standards for physiotherapists to identify themes common to digital health practice competency, published by international peak organizations governing physiotherapy practice. METHODS: Systematic meta-synthesis of international peak organization physiotherapy practice competency standards. The study was undertaken over nine stages. Competency statements related to digital health were extracted, and further coded into resultant themes. RESULTS: Eleven documents were analyzed. Fifty-two statements explicitly referenced digital health competency. Identified themes were as follows: 1) digital health data governance; 2) digital health data translation; and 3) digital health technologies. Where digital health-related competency statements do exist, they are skewed toward health information management activities. CONCLUSIONS: Digital health practice is currently under-represented in competency standards for physiotherapists. Workforce advancement in light of the burgeoning impact of digital health will prompt further updates to professional competency standards set by our peak organizations. This will have a flow on effect, whereby education providers (e.g. universities and other professional development providers) should consider curriculum and training that prepares individuals for digitally enabled practice.

Case-Based Learning in a Simulated Electronic Medical Record: Digital Health Education for Nursing Students.

Nursing graduates require competence in the use of digital health technologies. The Department of Nursing at the University of Melbourne has integrated an Electronic Medical Record (EMR) training platform into the entry-to-practice curriculum to enhance students' digital literacy. The Case Based Learning (CBL) software, developed by CSIRO and the University of Queensland, presents students with custom-built simulated cases in an EMR. Over 300 entry-to-practice students have used the CBL in 2022. Student experience, acceptability and usability of this software is reported. Data was collected via Qualtrics XM© survey. Student feedback suggests the software was easy to use and has the potential to enhance their understanding of digital health. Students suggested adjustments to the software to maximise their opportunities for clinical decision-making and improve fidelity.

Demonstrating Digital Health Clinical Competence in Practice: A Method for Developing Entrustable Professional Activities.

There is broad agreement regarding fundamental digital health competencies that clinical health professionals should possess. However, there is still no clear way to observe and assess their application, during the actual work practices undertaken in clinical settings. The present paper tackles this competency-practice gap. It describes a novel health workforce research process to evolve competency statements into entrustable professional activities (EPAs) for using digital health and informatics in a clinical profession. It illustrates the use of the EPA-DH-CP framework in the context of physiotherapy. This framework offers a systematic approach for any clinical profession to develop EPAs that set out their expectation of how practitioners will demonstrate relevant digital health competencies. It can inform pre-clinical education and continuing professional development in digital health, and implementation of changes in scopes and standards of digital health clinical practice. It can support interprofessional evaluation of digital health EPAs and other EPAs.

How Participatory Health Informatics Catalyzes One Digital Health.

OBJECTIVE: To identify links between Participatory Health Informatics (PHI) and the One Digital Health framework (ODH) and to show how PHI could be used as a catalyst or contributor to ODH. METHODS: We have analyzed the addressed topics within the ODH framework in previous IMIA Yearbook contributions from our working group during the last 10 years. We have matched main themes with the ODH's framework three perspectives (individual health and wellbeing, population and society, and ecosystem). RESULTS: PHI catalysts ODH individual health and wellbeing perspective by providing a more comprehensive view on human health, attitudes, and relations between human health and animal health. Integration of specific behavior change techniques or gamification strategies in digital solutions are effective to change behaviors which address the P5 paradigm. PHI supports the population and society perspective through the engagement of the various stakeholders in healthcare. At the same time, PHI might increase a risk for health inequities due to technologies inaccessible to all equally and challenges associated with this. PHI is a catalyst for the ecosystem perspective by contributing data into the digital health data ecosystem allowing for analysis of interrelations between the various data which in turn might provide links among all components of the healthcare ecosystem. CONCLUSION: Our results suggest that PHI can and will involve topics relating to ODH. As the ODH concept crystalizes and becomes increasingly influential, its themes will permeate and become embedded in PHI even more. We look forward to these developments and co-evolution of the two frameworks.

Fragmentation of care between intensive and primary care settings and opportunities for improvement.

PURPOSE: To explore the gaps in care provided across the transitions from the intensive care unit (ICU) to primary care, in order to improve post-ICU care. METHODS: Semistructured interviews with three participant groups: intensivists, general practitioners (GPs) and patients and carers with framework analysis of textual data were used to investigate experiences of transitions of care post-ICU. Participants were purposively sampled for diversity. Eligible patients were adults, mechanically ventilated for >24 hours, with access to a video-enabled device. Exclusion criteria were non-English speaking and any cognitive/neurological limitation precluding interview participation. RESULTS: A total of 46 interviews (15 patients, 8 caregivers, 15 intensivists and 8 GPs) were completed. Eight themes were identified, and categorised into three healthcare tiers. Tier 1, health system factors: (1) fragmentation of care; (2) communication gaps; (3) limited awareness and recognition of issues beyond the ICU; (4) lack of a specialised ICU follow-up pathway; Tier 2, clinician factors: (5) relationships among ICU, hospitals, GPs and patients and carers; (6) need for clinician role definition and clarity in ICU follow-up; Tier 3, patient and carer factors: (7) patient autonomy and self-actualisation and (8) the evolving caregiver role. A conceptual model was developed, highlighting bidirectional feedback loops between hospital and primary care. CONCLUSION: This study identified gaps in care between ICU discharge and reintegration with primary care from the lived experience of patients, caregivers, intensivists and GPs. These data provide foci for future interventional research to improve the integration of care for this vulnerable and underserved cohort.

Allied health professionals' experiences and lessons learned in response to a big bang electronic medical record implementation: A prospective observational study.

INTRODUCTION: There is limited evidence describing the impact of electronic medical record (EMR) implementation on allied health professionals' acceptance, expectations, and work efficiencies. This study aims to: A) identify clinician expectations and factors that influence EMR acceptance; B) evaluate perceived usability, technology proficiency and satisfaction; and C) assess the impact of EMR big bang implementation on allied health workflows at three Australian tertiary hospitals. METHODS: Repeated measures study pre and six-months post EMR implementation. User acceptance was evaluated with online surveys: Unified Theory of Acceptance and Use of Technology (pre), System Usability Scale and open-ended questions (post). A four-hour time-motion study evaluated changes in allied health inpatient workflows. RESULTS: Surveys were completed by 224 allied health clinicians (47% response rate) pre, and 196 (41%) post-implementation. Pre-implementation, 96% of respondents felt using the EMR was a good idea and they would find it useful. Six-months post-implementation 88% liked interacting with the EMR. 64% found it easy to use and most didn't require technical support (78%). While 68% of participants felt very confident, 51% believed they were not using the EMR's full potential. Post-implementation half of participants agreed significant upskilling was required and that EMR workflows were not quick to learn. Live demonstrations were considered the most helpful activity prior to training; hands-on practice in the training environment and superuser support were invaluable preparing for and during go-live. Time-motion data (mean difference (MD) (95% CI)) indicated that following implementation participants spent 2.27% (-3.53, 8.09, p = 0.731) more time in clinical tasks. More time was spent performing clinical documentation (5.39% (1.98, 8.8), p = 0.002). CONCLUSIONS: Many factors can impact allied health professional's adoption of a new EMR. Institution-wide, simultaneous big bang EMR implementation, with strong allied health leadership, can lead to positive benefits, particularly in user experience. Ongoing evaluation will drive future improvements.

Inconsistently reporting post-licensure EPA specifications in different clinical professions hampers fidelity and practice translation: a scoping review.

BACKGROUND: Entrustable Professional Activities (EPAs) are defined units of professional practice entrusted to professionals once they have attained the specific competencies required to complete the end-to-end task. They provide a contemporary framework for capturing real-world clinical skillsets and integrating clinical education with practice. Our scoping review question was: how are post-licensure EPAs reported in peer reviewed literature, in different clinical professions? METHOD: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) checklist, Arksey and O'Malley and Joanna Briggs Institute (JBI) methodology. Searching ten electronic databases returned 1622 articles, with 173 articles included. Data extracted included demographics, EPA discipline, titles and further specifications. RESULTS: All articles were published between 2007-2021 across sixteen country contexts. The majority were from North America (n = 162, 73%) describing medical sub-specialty EPAs (n = 126, 94%). There were comparably few EPA frameworks reported in clinical professions other than medicine (n = 11, 6%). Many articles reported only EPA titles without further explanation and limited content validation. The majority did not include information about the EPA design process. Few EPAs and frameworks were reported according to all the recommended EPA attributes. There was unclear distinction between specialty-specific EPAs and those that could be useful across disciplines. DISCUSSION: Our review highlights the large volume of EPAs reported in post-licensure medicine, including the volume disparity compared to other clinical professions. Basing our enquiry upon existing guidelines for EPA attributes and features, our experience in conducting the review and our primary finding demonstrated heterogeneity of EPA reporting according to these specifications. To promote EPA fidelity, and quality appraisal, and to reduce interpretation subjectivity, we advocate: diligently reporting EPA attributes and features; including reference or citation to EPA design and content validity information; and considering distinguishing EPAs as specialty-specific or transdisciplinary. CONCLUSION: A large volume of post-licensure EPAs were identified in medicine relative to other clinical professions. EPA specifications were absent or variously reported in the literature, risking ambiguous interpretation. The authors recommend that future EPAs are reported with reference to established and evolving construct recommendations, which is integral to concept fidelity and translation to practice and education.

Defining and Scoping Participatory Health Informatics: An eDelphi Study.

BACKGROUND: Health care has evolved to support the involvement of individuals in decision making by, for example, using mobile apps and wearables that may help empower people to actively participate in their treatment and health monitoring. While the term "participatory health informatics" (PHI) has emerged in literature to describe these activities, along with the use of social media for health purposes, the scope of the research field of PHI is not yet well defined. OBJECTIVE: This article proposes a preliminary definition of PHI and defines the scope of the field. METHODS: We used an adapted Delphi study design to gain consensus from participants on a definition developed from a previous review of literature. From the literature we derived a set of attributes describing PHI as comprising 18 characteristics, 14 aims, and 4 relations. We invited researchers, health professionals, and health informaticians to score these characteristics and aims of PHI and their relations to other fields over three survey rounds. In the first round participants were able to offer additional attributes for voting. RESULTS: The first round had 44 participants, with 28 participants participating in all three rounds. These 28 participants were gender-balanced and comprised participants from industry, academia, and health sectors from all continents. Consensus was reached on 16 characteristics, 9 aims, and 6 related fields. DISCUSSION: The consensus reached on attributes of PHI describe PHI as a multidisciplinary field that uses information technology and delivers tools with a focus on individual-centered care. It studies various effects of the use of such tools and technology. Its aims address the individuals in the role of patients, but also the health of a society as a whole. There are relationships to the fields of health informatics, digital health, medical informatics, and consumer health informatics. CONCLUSION: We have proposed a preliminary definition, aims, and relationships of PHI based on literature and expert consensus. These can begin to be used to support development of research priorities and outcomes measurements.

Mobile app use to support therapeutic exercise for musculoskeletal pain conditions may help improve pain intensity and self-reported physical function: a systematic review.

QUESTION: What is the effect of therapeutic exercise or tailored physical activity programs supported by a mobile app (compared with exercise or physical activity programs delivered using other modes) for people with musculoskeletal pain conditions? DESIGN: Systematic review of published randomised controlled trials with meta-analysis. PARTICIPANTS: People of all ages with musculoskeletal pain conditions. INTERVENTION: Therapeutic exercise or tailored physical activity programs supported by a mobile app. OUTCOME MEASURES: Pain intensity, pain interference, self-reported physical function, physical performance, adherence, psychosocial outcomes, health-related quality of life, work participation, physical activity, goal attainment and satisfaction. RESULTS: Eleven studies were eligible for inclusion, with a total of 845 participants. There was low certainty evidence that using mobile apps to deliver exercise programs helps to reduce pain intensity to a worthwhile extent (SMD -0.60, 95% CI -0.93 to -0.27). There was low certainty evidence that using mobile apps to deliver exercise programs helps to improve self-reported physical function to a worthwhile extent (SMD -0.92, 95% CI -1.57 to -0.27). Although the effect of using mobile apps to deliver exercise programs on pain interference was also estimated to be a worthwhile benefit (SMD -0.66), this estimate came with marked uncertainty (95% CI -1.52 to 0.19) so the effect remains unclear. The remainder of the outcomes were unclear due to sparse evidence. The most common behaviour change intervention functions in the mobile app interventions were: training, enablement and environmental restructuring. CONCLUSION: Mobile apps supporting therapeutic exercise or tailored physical activity programs for musculoskeletal pain conditions may help in reducing pain intensity and improving physical function. The mobile apps utilised a limited range of behaviour change intervention functions. REGISTRATION: CRD42021248046.

Recommendations of the International Medical Informatics Association (IMIA) on Education in Biomedical and Health Informatics: Second Revision.

BACKGROUND: The purpose of educational recommendations is to assist in establishing courses and programs in a discipline, to further develop existing educational activities in the various nations, and to support international initiatives for collaboration and sharing of courseware. The International Medical Informatics Association (IMIA) has published two versions of its international recommendations in biomedical and health informatics (BMHI) education, initially in 2000 and revised in 2010. Given the recent changes to the science, technology, the needs of the healthcare systems, and the workforce of BMHI, a revision of the recommendations is necessary. OBJECTIVE: The aim of these updated recommendations is to support educators in developing BMHI curricula at different education levels, to identify essential skills and competencies for certification of healthcare professionals and those working in the field of BMHI, to provide a tool for evaluators of academic BMHI programs to compare and accredit the quality of delivered programs, and to motivate universities, organizations, and health authorities to recognize the need for establishing and further developing BMHI educational programs. METHOD: An IMIA taskforce, established in 2017, updated the recommendations. The taskforce included representatives from all IMIA regions, with several having been involved in the development of the previous version. Workshops were held at different IMIA conferences, and an international Delphi study was performed to collect expert input on new and revised competencies. RESULTS: Recommendations are provided for courses/course tracks in BMHI as part of educational programs in biomedical and health sciences, health information management, and informatics/computer science, as well as for dedicated programs in BMHI (leading to bachelor's, master's, or doctoral degree). The educational needs are described for the roles of BMHI user, BMHI generalist, and BMHI specialist across six domain areas - BMHI core principles; health sciences and services; computer, data and information sciences; social and behavioral sciences; management science; and BMHI specialization. Furthermore, recommendations are provided for dedicated educational programs in BMHI at the level of bachelor's, master's, and doctoral degrees. These are the mainstream academic programs in BMHI. In addition, recommendations for continuing education, certification, and accreditation procedures are provided. CONCLUSION: The IMIA recommendations reflect societal changes related to globalization, digitalization, and digital transformation in general and in healthcare specifically, and center on educational needs for the healthcare workforce, computer scientists, and decision makers to acquire BMHI knowledge and skills at various levels. To support education in BMHI, IMIA offers accreditation of quality BMHI education programs. It supports information exchange on programs and courses in BMHI through its Working Group on Health and Medical Informatics Education.

Comprehensiveness, accuracy, quality, credibility and readability of online information about knee osteoarthritis.

BACKGROUND: People are increasingly using the Internet to retrieve health information about chronic musculoskeletal conditions, yet content can be inaccurate and of variable quality. OBJECTIVE: To summarise (i) comprehensiveness, (ii) accuracy and clarity, iii) quality of information about treatment choices, (iv) credibility and (v) readability of online information about knee osteoarthritis. METHOD: Systematic appraisal of website content. Searches for "knee osteoarthritis" and "knee arthritis" were performed using Google and Bing (October 2020). The top 20 URLs of each search were screened for eligibility. Comprehensiveness, accuracy and clarity of content were matched against 14 pre-defined topic descriptors. DISCERN and HONcode were used to measure quality of information about treatment choices and website credibility, respectively. Flesch Reading Ease and Flesch-Kincaid Grade Level tests were used to assess readability. RESULTS: Thirty-five websites were included. Websites were generally comprehensive (median, range = 12, 0-14/14) with descriptors available for 67% (n = 330/490) of topics across all websites, but only 35% (n = 116/330) were accurate and clear. Quality of information about treatment choices was generally low (median DISCERN score, range = 40, 16-56/80). Credibility descriptors were present for 65% (n = 181/280) of items, with 81% (n = 146/181) of descriptors being clear. Median Flesch reading ease was 53 (range = 21-74), and Flesch-Kincaid grade level was 8 (range = 5-11). CONCLUSION: Few websites provide accurate and clear content aligned to key research evidence. Quality of information about treatment choices was poor, with large variation in comprehensiveness, credibility and readability. IMPLICATIONS: Careful consideration is required by clinicians to identify what online information people with knee osteoarthritis have accessed and to address misinformed beliefs.

Clinician-administered performance-based tests via telehealth in people with chronic lower limb musculoskeletal disorders: Test-retest reliability and agreement with in-person assessment.

INTRODUCTION: Uptake of telehealth has surged, yet no previous studies have evaluated the clinimetric properties of clinician-administered performance-based tests of function, strength, and balance via telehealth in people with chronic lower limb musculoskeletal pain. This study investigated the: (i) test-retest reliability of performance-based tests via telehealth, and (ii) agreement between scores obtained via telehealth and in-person. METHODS: Fifty-seven adults aged ≥45 years with chronic lower limb musculoskeletal pain underwent three testing sessions: one in-person and two via videoconferencing. Tests included 30-s chair stand, 5-m fast-paced walk, stair climb, timed up and go, step test, timed single-leg stance, and calf raises. Test-retest reliability and agreement were assessed via intraclass correlation coefficients (ICC; lower limit of 95% confidence interval (CI) ≥0.70 considered acceptable). ICCs were interpreted as poor (<0.5), moderate (0.5-0.75), good (0.75-0.9), or excellent (>0.9). RESULTS: Test-retest reliability was good-excellent with acceptable lower CI for stair climb test, timed up and go, right leg timed single-leg stance, and calf raises (ICC = 0.84-0.91, 95% CI lower limit = 0.71-0.79). Agreement between telehealth and in-person was good-excellent with acceptable lower CI for 30-s chair stand, left leg single-leg stance, and calf raises (ICC = 0.82-0.91, 95% CI lower limit = 0.71-0.85). DISCUSSION: Stair climb, timed up and go, right leg timed single-leg stance, and calf raise tests have acceptable reliability for use via telehealth in research and clinical practice. If re-testing via a different mode (telehealth/in-person), clinicians and researchers should consider using the 30-s chair stand test, left leg timed single-leg stance, and calf raise tests.

Exercise adherence Mobile app for Knee Osteoarthritis: protocol for the MappKO randomised controlled trial.

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.

Patient-Facing Mobile Apps to Support Physiotherapy Care: Protocol for a Systematic Review of Apps Within App Stores.

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.

Digital Health Interventions in Physiotherapy: Development of Client and Health Care Provider Survey Instruments.

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.