Comparative Efficacy of Tele-Rehabilitation vs In-Person Physiotherapy for ACL Recovery
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
- 1.2Background of the Study
- 1.3Statement of the Problem
- 1.4Aim and Objectives of the Study
- 1.5Research Questions
- 1.6Research Hypotheses
- 1.7Significance of the Study
- 1.8Scope and Delimitation of the Study
- 1.9Limitations of the Study
- 1.10Organisation of the Study
- 1.11Operational Definition of Terms
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Tele-Rehabilitation and In-Person Physiotherapy in ACL Care
- 2.2Conceptual Review: ACL Injury and Rehabilitation Principles
- 2.3Conceptual Review: Remote Monitoring Technologies in Physiotherapy
- 2.4Theoretical Framework: Biopsychosocial Model in Tele-Rehabilitation
- 2.5Theoretical Framework: Technology Acceptance Model in Rehabilitation Contexts
- 2.6Empirical Review: Randomized Trials Comparing Tele-Physiotherapy and In-Person Rehabilitation for ACL
- 2.7Empirical Review: Functional Outcomes post-ACL Reconstruction with Remote Interventions
- 2.8Empirical Review: Patient Adherence and Engagement in Tele-Rehab
- 2.9Empirical Review: Neuro-musculoskeletal Outcomes in ACL Recovery under Different Delivery Modes
- 2.10Empirical Review: Cost-Effectiveness of Tele-Rehabilitation for ACL Care
- 2.11Identified Gaps in the Literature
- 2.12Conceptual Model: Integrated Framework for Tele-Rehab vs In-Person ACL Recovery
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Comparative Cross-Sectional Analysis of Tele-Rehabilitation vs In-Person Physiotherapy for ACL Recovery
- 3.2Philosophical Paradigm: Pragmatism in Health Services Research
- 3.3Population of the Study: Adults Undergoing ACL Reconstruction Rehabilitation
- 3.4Sample Size and Sampling Technique: Stratified Sampling Across Delivery Modes
- 3.5Sources and Instruments of Data Collection: Clinical Assessments, Patient-Reported Outcome Measures, and Session Logs
- 3.6Validity and Reliability of Instruments: Psychometric Properties and Pilot Testing
- 3.7Data Collection Procedures: Scheduling, Data Capture, and Quality Assurance
- 3.8Data Analysis Plan: Between-Group Comparisons, Covariate Adjustment, and Sensitivity Analyses
- 3.9Model Specification or Analytical Framework: Linear Mixed Models and Propensity-Adjusted Analyses
- 3.10Ethical Considerations: Informed Consent, Data Privacy, and Safety Monitoring
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION OF FINDINGS
- 4.1Data Presentation: Participant Flow and Descriptive Statistics by Intervention Group
- 4.2Descriptive Analysis: Baseline Characteristics and Rehabilitation Parameters
- 4.3Hypotheses Testing: Between-Group Differences in Functional Outcomes
- 4.4Hypotheses Testing: Pain, Range of Motion, and Strength Metrics
- 4.5Hypotheses Testing: Adherence, Satisfaction, and Adverse Events
- 4.6Interpretation of Results: Tele-Rehabilitation Performance Relative to In-Person Rehab
- 4.7Discussion of Findings in Relation to Conceptual Frameworks
- 4.8Comparison with Prior Empirical Studies and Implications for ACL Care
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion
- 5.3Contribution to Knowledge
- 5.4Practical Recommendations for Clinicians and Policy Makers
- 5.5Recommendations for Further Studies
Thesis Abstract
This study addresses the clinical and access-related challenges in ACL rehabilitation by comparing the efficacy of tele-rehabilitation (TR) delivered via synchronous video sessions and mobile apps versus traditional in-person physiotherapy (IP) across the initial 12-week postoperative period. The aim is to determine whether TR yields non-inferior outcomes in functional recovery, pain modulation, quadriceps strength, and return-to-activity timelines relative to IP, while also evaluating adherence, patient satisfaction, and cost-effectiveness. Specific objectives include (i) comparing functional outcomes using the International Knee Documentation Committee (IKDC) subjective knee form and the Lysholm score at 6 weeks, 12 weeks, and 6 months; (ii) assessing muscle strength symmetry via isokinetic dynamometry at 60 and 180 degrees per second; (iii) evaluating patient-reported pain on a numeric rating scale and activity level using the Marx Activity Rating Scale; (iv) examining adherence to exercise prescriptions through session attendance, completion rates, and wearable-tracked activity; (v) exploring psychosocial factors and therapeutic alliance through the Working Alliance Inventory-Short Form; and (vi) conducting a cost-effectiveness analysis from the healthcare system perspective. A multicenter, randomized controlled trial with a non-inferiority design will be conducted, enrolling 240 adult patients (aged 18–45) undergoing primary ACL reconstruction across three orthopedic centers. Participants will be randomized 11 to TR or IP physiotherapy, stratified by center and baseline IKDC score. TR will comprise synchronized video-guided sessions three times weekly for 12 weeks, supplemented by a validated home-exercise program delivered through a mobile application with real-time feedback and remote monitoring. IP participants will receive standard face-to-face sessions with identical exercise content and progression guidelines. Data will be collected at baseline (preoperative or immediate postoperative), 6 weeks, 12 weeks, and 6 months. Instruments will include IKDC, Lysholm, Knee Injury and Osteoarthritis Outcome Score (KOOS) subscales, isokinetic dynamometry for quadriceps and hamstring peak torque, range of motion measurements, patient satisfaction surveys, adherence logs, and economic data from billing records. Validity and reliability will be ensured by using previously validated French/English translation where applicable and calibrating dynamometers across sites. Statistical analyses will adhere to intention-to-treat principles. Non-inferiority margins will be predefined (a 6-point difference on the IKDC). Primary analysis will test non-inferiority of TR versus IP for the change in IKDC score from baseline to 12 weeks using mixed-effects linear models with fixed effects for group, time, and group-by-time interaction, and random intercepts for participants and centers. Secondary outcomes will be analyzed using repeated-measures ANOVA for continuous variables and generalized estimating equations for binary outcomes (e.g., adherence benchmarks). Isokinetic strength data will be analyzed with repeated-measures ANOVA, adjusting for baseline strength and sex. Regression analyses will explore moderators such as baseline activity level, psychosocial factors, and access to technology. A cost-utility analysis will estimate incremental cost-effectiveness ratio (ICER) using quality-adjusted life years (QALYs) derived from the EQ-5D-5L instrument. Expected findings include non-inferiority of TR to IP in functional recovery and strength at 12 weeks and sustained advantages in accessibility and patient satisfaction, with higher adherence linked to interactive features and timely feedback. Tele-rehabilitation is anticipated to be more cost-effective due to reduced travel and facility utilization, though equipment and data costs may partially offset savings. The study contributes to knowledge by providing robust, multicenter evidence on the clinical and economic viability of tele-rehabilitation in ACL recovery, clarifying the role of therapeutic alliance and technology-enabled monitoring in postoperative rehabilitation, and informing policy on scalable rehabilitation models. The main conclusion is that well-structured TR for ACL rehabilitation can deliver equivalent functional outcomes to IP therapy, with added benefits in accessibility and patient engagement, underlying the potential for TR to become a standard adjunct or alternative in postoperative care. Recommendations include the adoption of TR protocols with standardized progression criteria, investment in user-friendly platforms to enhance adherence, training for therapists in remote communication strategies, integration of objective remote monitoring tools, and consideration of TR as a viable option in health systems aiming to expand access while optimizing costs.
Thesis Overview
This research compares two approaches to rehabilitation after anterior cruciate ligament (ACL) injury or reconstruction: tele-rehabilitation (delivered remotely via video calls, apps, and online guidance) versus traditional in-person physiotherapy. The central question is whether remote supervision can achieve similar or superior outcomes in restoring knee function, strength, range of motion, and return-to-activity timelines as conventional care. This matters because athletes and general patients may face barriers to in-person sessions (distance, costs, scheduling, and access to qualified therapists), and tele-rehabilitation has the potential to increase adherence and convenience without compromising effectiveness.
The study addresses a knowledge gap about the relative efficacy, cost-effectiveness, and patient experiences of tele-rehabilitation for ACL recovery, compared with standard care. While some small-scale or heterogeneous studies exist, few use rigorous randomised or well-mcontrolled comparative designs, standardised outcome measures, or adequate follow-up to inform guidelines. This project aims to provide high-quality, generalisable evidence to guide clinical decisions and policy on tele-rehabilitation adoption.
What the researcher will do step by step:
- Design a comparative study, preferably randomised or well-muted quasi-experimental, enrolling adults undergoing ACL rehabilitation.
- Determine sample size based on expected differences in primary outcomes (e.g., knee function scores) with adequate power (e.g., 80% power, alpha 0.05). Target sample around 120 participants, accounting for attrition.
- Randomly assign participants to tele-rehabilitation or in-person physiotherapy, ensuring comparable baseline characteristics.
- Implement a standardized rehabilitation protocol across both groups, with the tele group receiving remote sessions, digital exercise libraries, and remote monitoring; the control group attends conventional clinic sessions.
- Collect data at baseline, mid-treatment, end of active rehabilitation, and follow-ups at 6 and 12 months using validated measures for function (e.g., IKDC or Lysholm scores), strength (quadriceps, hamstrings via dynamometry), return-to-sport timelines, pain, and patient satisfaction.
- Use statistical analyses such as repeated-measures ANOVA or mixed-effects models to compare trajectories over time, with regression to adjust for covariates. Conduct subgroup analyses (age, baseline activity level). Supplement quantitative findings with qualitative feedback from a subset of participants to understand acceptability and barriers.
- Ensure ethical approval, informed consent, data protection, and reporting in line with CONSORT or equivalent guidelines.
Expected contribution and outcome:
- Provide robust evidence on whether tele-rehabilitation can match or exceed in-person outcomes for ACL recovery, informing clinicians, patients, and policymakers about alternative delivery models.
- Clarify cost implications, adherence patterns, and patient satisfaction to support implementation decisions and future guidelines. The study may identify specific patient profiles who benefit most from tele-rehabilitation and highlight practical considerations for remote supervision and safety.