A Unified Framework for Tele-Rehabilitation in Musculoskeletal Physiotherapy

Thesis Abstract

The rapid advancement of information and communication technologies has transformed rehabilitation delivery, yet gaps persist in integrating tele-rehabilitation into routine musculoskeletal physiotherapy practice in a way that is accessible, effective, and scalable. This study addresses the problem of fragmented tele-rehabilitation approaches that lack a unified framework to standardize assessment, intervention, monitoring, and outcome evaluation across diverse patient populations and clinical settings. The aim is to develop and validate a Unified Tele-Rehabilitation Framework (UTRF) for musculoskeletal physiotherapy, with specific objectives (1) to synthesize functional, behavioral, and technical determinants shaping tele-rehabilitation adoption and efficacy; (2) to construct a theory-driven framework incorporating patient-centered, clinician-supported, and system-level components; (3) to evaluate the framework’s feasibility, usability, and preliminary effectiveness in real-world outpatient clinics; (4) to identify barriers and facilitators influencing adherence and clinically meaningful outcomes; and (5) to provide implementation guidelines and policy implications for scalable deployment. A mixed-methods, multi-phase design will be employed. Phase I comprises a scoping review and Delphi panel with 18 international experts in physiotherapy, digital health, and health systems to identify core constructs and achieve consensus on framework domains, guided by the Technology Acceptance Model and Self-Determination Theory. Phase II involves a cross-sectional survey of 420 adults undergoing musculoskeletal tele-rehabilitation and 120 physiotherapists across five outpatient clinics to quantify relationships among technological usability (System Usability Scale), therapeutic alliance (Working Alliance Inventory), adherence (attendance and program completion rates), and clinical outcomes (pain, function, and quality of life). Phase III will pilot the framework in two clinics over 12 weeks with a quasi-experimental design (n=80 patients; 40 intervention, 40 standard care) to compare clinical outcomes using repeated-measures ANOVA and multilevel modeling, as well as process outcomes (engagement metrics, satisfaction). Phase IV uses qualitative interviews (n=40 patients, n=12 clinicians) and thematic analysis to refine the framework, particularly the fit between tele-delivery modalities (synchronous/asynchronous video, mobile app-guided exercises, remote monitoring) and patient subgroups stratified by age, baseline function, and digital literacy. Data collection instruments will include standardized measures Numeric Pain Rating Scale, Western Ontario and McMaster Universities Osteoarthritis Index, SF-12 for quality of life, Brief Illness Perception Questionnaire, and the Client Satisfaction Questionnaire, complemented by device usage logs, biometric or sensor-derived adherence indicators, and semi-structured interview guides. Validity and reliability will be ensured through pilot testing, translation/back-translation where needed, and triangulation across quantitative and qualitative data. Statistical analyses will encompass descriptive statistics, multiple regression to test relationships between usability, therapeutic alliance, adherence, and outcomes; factor analysis to validate the framework's construct structure; repeated-measures ANOVA for within-subject change over time; and multilevel modeling to account for clustering by clinic. Thematic analysis will identify emergent patterns regarding acceptability, perceived usefulness, and contextual influences on implementation. Expected findings include (a) a validated conceptual framework integrating patient, clinician, and system-level determinants of tele-rehabilitation success; (b) evidence that higher perceived usability and stronger therapeutic alliance mediate improved adherence and functional outcomes; (c) identifies subgroups (e.g., older adults with lower digital literacy) requiring targeted support to achieve comparable benefits; (d) practical implementation guidelines detailing workflow integration, data governance, and workflow metrics for sustainability. The study will contribute to knowledge by offering a universally applicable, theory-informed framework that unifies disparate tele-rehabilitation approaches into a coherent model with measurable constructs and standardized evaluation metrics. It will also advance methodological practice by combining consensus-building with empirical validation and cross-context testing. The main conclusion is that a unified, theory-driven tele-rehabilitation framework can standardize care delivery, optimize patient engagement, and improve clinical outcomes in musculoskeletal physiotherapy while highlighting actionable strategies to overcome digital divide barriers. Recommendations include adopting the framework in national rehabilitation guidelines, investing in clinician training for digital therapeutics, and establishing governance for data privacy, interoperability, and continuous quality improvement. Further studies should test long-term effectiveness, cost-effectiveness analyses, and cross-condition applicability to consolidate the framework’s generalizability.