Evaluating Telerehabilitation Effectiveness in Community-Based Stroke Recovery Programs

Thesis Abstract

Stroke remains a leading cause of long-term disability globally, with community-based rehabilitation playing a critical role in optimizing recovery outcomes. However, traditional in-person rehabilitation services face barriers such as limited accessibility, resource constraints, and geographical barriers, which potentially hinder equitable and timely care. The emergence of telerehabilitation as an innovative healthcare delivery modality offers promising solutions, yet its effectiveness within community-centered stroke recovery programs requires comprehensive evaluation. This study aims to assess the clinical and functional outcomes, patient satisfaction, and adherence levels associated with telerehabilitation compared to conventional face-to-face interventions in community settings. The specific objectives are to quantify improvements in motor and cognitive functions among stroke survivors, evaluate patient perceptions of telerehabilitation, and identify facilitators and barriers to its implementation. A mixed-methods research design is adopted, integrating quantitative and qualitative approaches to capture a comprehensive understanding of telerehabilitation efficacy. The quantitative component involves a quasi-experimental, pre-test/post-test control group design, with a sample of 150 adult stroke patients randomly assigned to either the telerehabilitation group or the traditional rehabilitation group. Participants are recruited from community health centers within a metropolitan region, with inclusion criteria emphasizing stroke recovery phases of 3 to 12 months and access to requisite technology. Data collection instruments include standardized assessments such as the Fugl-Meyer Assessment for motor function, the Montreal Cognitive Assessment for cognitive status, and patient satisfaction questionnaires developed and validated specifically for telehealth contexts. Qualitative data are gathered through semi-structured interviews with a purposive sub-sample of 20 participants, exploring personal experiences, perceived benefits, and challenges associated with telerehabilitation. Data analysis employs descriptive statistics, independent t-tests, and repeated-measures ANOVA to determine differences and changes within and between groups over time. Multiple regression analysis investigates predictors of rehabilitation adherence and outcomes, while thematic analysis is applied to qualitative interview transcripts to identify common themes related to user experience and implementation factors. The theoretical frameworks grounding this study include the Health Belief Model, explaining patient engagement, and the Technology Acceptance Model, providing insights into technology adoption behaviors among stroke survivors. It is anticipated that the findings will demonstrate significant improvements in motor and cognitive functions among participants engaged in telerehabilitation, comparable to those receiving conventional therapy, with higher levels of patient satisfaction and adherence in the telerehabilitation group. The study expects to reveal critical facilitators such as usability, perceived convenience, and clinician support, alongside barriers including technological literacy and connectivity issues. These insights are anticipated to contribute novel evidence to the evolving discourse on remote stroke rehabilitation within community-based paradigms. The contribution of this research lies in providing empirical evidence on the effectiveness and acceptability of telerehabilitation, informing policymakers, healthcare providers, and community health programs on best practices for integrating telehealth solutions into stroke recovery pathways. The main conclusion underscores telerehabilitation as a viable, effective, and patient-centered alternative or complement to traditional models, particularly in resource-limited or rural settings. Recommendations include developing standardized protocols for telerehabilitation, enhancing technological infrastructure, and fostering training initiatives for clinicians and patients alike to optimize engagement. Furthermore, future research directions highlight the need for longitudinal studies assessing long-term outcomes and cost-effectiveness analyses to underpin sustainable integration of telerehabilitation into community health services.