Comparative Analysis of Mobile versus Conventional Physiotherapy in Post-Stroke Rehabilitation

Thesis Abstract

Post-stroke rehabilitation remains a critical component in restoring functional independence and enhancing quality of life, yet the efficacy of different therapeutic modalities continues to be a subject of investigation. In particular, the comparative effectiveness of mobile physiotherapy interventions versus traditional, conventional physiotherapy approaches has garnered increasing attention due to the rise of digital health technologies and the need for accessible, cost-effective rehabilitation solutions. This study aims to analyze and compare the outcomes of mobile physiotherapy and conventional physiotherapy in post-stroke rehabilitation, with specific objectives to evaluate motor function improvements, adherence rates, patient satisfaction, and overall functional independence among stroke survivors receiving these interventions. Employing a cross-sectional comparative research design, the study targets a population of 150 post-stroke patients recruited from three major rehabilitation centers over a period of 12 months. The sample comprises 75 patients receiving mobile physiotherapy via a validated tele-rehabilitation application and 75 patients receiving standard in-clinic physiotherapy, matched for demographic and clinical variables such as age, stroke severity, and time since stroke onset. Stratified random sampling ensures adequate representation across age groups and severity levels. Data collection instruments include the Fugl-Meyer Assessment (FMA) for motor recovery, the Barthel Index for activities of daily living, and patient satisfaction surveys adapted from the Telehealth Satisfaction Scale. Additionally, adherence is monitored via app usage logs and attendance records. The instruments' validity and reliability are established through pilot testing and Cronbach's alpha analysis. Data analysis employs descriptive statistics to summarize participant characteristics, followed by inferential statistical techniques to examine differences between groups. Specifically, independent samples t-tests evaluate motor function gains, while chi-square tests compare adherence and satisfaction levels. Multiple regression analysis assesses the predictive power of intervention modality on functional outcomes, controlling for confounding variables. The study also applies the Theory of Reasoned Action to interpret factors influencing patient adherence and engagement with mobile physiotherapy. Expected findings suggest that mobile physiotherapy can produce comparable improvements in motor function to conventional therapy, with potential advantages in adherence rates and patient satisfaction due to convenience and personalized interfaces. The study anticipates identifying specific patient subgroups for whom mobile physiotherapy is most effective, such as younger or tech-savvy individuals. By elucidating the relative benefits and limitations of tele-rehabilitation modalities, the research aims to fill existing gaps in empirical evidence surrounding mobile-based interventions and their integration into post-stroke recovery programs. This investigation contributes to knowledge by providing a comprehensive, evidence-based comparison of modality-specific outcomes, complementing previous qualitative assessments and small-scale studies. It extends theoretical understanding by applying behavioral models to explain adherence patterns in mobile health contexts. The findings are expected to inform clinical guidelines, support policy development for tele-rehabilitation services, and enhance rehabilitation accessibility, particularly in resource-constrained settings. In conclusion, the study underscores the potential of mobile physiotherapy as an effective, patient-centered alternative to traditional methods, advocating for its integration into standard post-stroke rehabilitation protocols. Recommendations include expanding technological infrastructure, developing tailored patient engagement strategies, and conducting longitudinal studies to assess long-term functional sustainability post-intervention. Future research should explore cost-effectiveness analyses and the role of emerging technologies such as wearable sensors and artificial intelligence in optimizing tele-rehabilitation outcomes.