Comparative Effectiveness of Tele-Rehabilitation vs In-Person Physiotherapy for ACL Rehab Outcomes
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 in ACL Injury Management
- 2.2Conceptual Review: In-Person Physiotherapy for ACL Rehabilitation
- 2.3Theoretical Framework: Biopsychosocial Model in Telehealth Rehabilitation
- 2.4Theoretical Framework: Technology Acceptance Model (TAM) in Physiotherapy Tele-Rehab
- 2.5Empirical Review: Randomized Trials Comparing Tele-Rehab and In-Person ACL Rehab
- 2.6Empirical Review: Functional Outcomes Post-ACL Reconstruction via Tele-Rehab
- 2.7Empirical Review: Patient Adherence and Engagement in Tele-Rehab Programs
- 2.8Empirical Review: Cost-Effectiveness of Tele-Rehabilitation for ACL Rehab
- 2.9Empirical Review: Accessibility, Equity, and Digital Divide in Tele-Rehab
- 2.10Safety and Risk Management in Tele-Rehabilitation for ACL Patients
- 2.11Clinician Experience and Workflow Impact in Tele-Rehab
- 2.12Identified Gaps in the Literature
- 2.13Conceptual Model: Integrated Tele-Rehabilitation for ACL Outcomes
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Cross-Sectional Comparative Effectiveness Analysis
- 3.2Philosophical Paradigm: Pragmatism in Health Services Research
- 3.3Population of the Study: Adults Undergoing ACL Rehabilitation
- 3.4Sample Size and Sampling Technique: Power Calculation and Stratified Sampling
- 3.5Sources and Instruments of Data Collection: Questionnaires, Clinical Assessments, and Medical Records
- 3.6Validity and Reliability of Instruments
- 3.7Outcome Measures: Functional, Strength, Pain, and Patient-Reported Outcomes
- 3.8Data Collection Procedures: Tele-Rehab vs In-Person Protocols
- 3.9Data Management and Quality Assurance
- 3.10Data Analysis Plan: Descriptive, Comparative, and Multivariate Analyses
- 3.11Model Specification: Regression Framework for Rehab Outcome Prediction
- 3.12Ethical Considerations and Approvals
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Data Presentation Overview and Coding Strategy
- 4.2Descriptive Statistics: Participant Demographics and Baseline Characteristics
- 4.3Descriptive Statistics: Rehabilitation Exposure and Adherence
- 4.4Comparative Analysis: Tele-Rehab vs In-Person on Primary Outcomes
- 4.5Hypotheses Testing: Between-Group Differences in Functional Recovery
- 4.6Hypotheses Testing: Pain and Range of Motion Trajectories
- 4.7Hypotheses Testing: Patient-Reported Outcomes and Satisfaction
- 4.8Multivariate Analysis: Adjusted Effects Accounting for Confounders
- 4.9Interpretation of Results in Light of Theoretical Frameworks
- 4.10Findings Alignment with Preceding Literature and Implications
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusions Drawn from the Results
- 5.3Contribution to Knowledge: Advancing Tele-Rehabilitation for ACL Rehab
- 5.4Practical Recommendations for Clinicians and Services
- 5.5Policy and Implementation Considerations
- 5.6Limitations of the Study and Mitigation Strategies
- 5.7Suggestions for Further Research
Thesis Abstract
The rapid expansion of tele-rehabilitation has transformed access to post-operative physiotherapy, yet its comparative effectiveness for anterior cruciate ligament (ACL) rehabilitation relative to traditional in-person care remains inadequately defined. This study addresses the problem of uncertain outcomes, adherence, and patient satisfaction in tele-rehabilitation for ACL rehab, with implications for clinical guidelines and resource allocation. The aim is to compare functional outcomes, adherence, patient-reported experience, and cost-effectiveness between tele-rehabilitation and in-person physiotherapy following ACL reconstruction. Specific objectives include (1) to evaluate knee function using the International Knee Documentation Committee (IKDC) subjective knee form and Lysholm score at 3, 6, and 12 months post-surgery; (2) to compare quadriceps strength, hop test performance, and range of motion between groups at identical time points; (3) to assess adherence to prescribed exercise programs and home exercise compliance via electronic monitoring and self-report; (4) to examine patient-reported experience measures (PREMs) and satisfaction; (5) to analyze health economics through direct and indirect costs from a societal perspective; and (6) to identify moderating effects of sociodemographic variables and baseline functional status. A parallel-group, non-inferiority randomized controlled trial will be conducted with 260 participants undergoing ACL reconstruction across three regional sports medicine centers. Participants will be randomly allocated (11) to either a 12-week tele-rehabilitation program delivered via synchronous video consultations and a digital exercise platform, or conventional in-person physiotherapy, with standard care protocols and progression criteria. Blinded assessors will collect outcome data at 3, 6, and 12 months post-operatively. Primary data will include IKDC and Lysholm scores; secondary data will comprise isometric quadriceps strength (dynamometry), single-leg hop distance, knee range of motion, adherence metrics from the digital platform, and standardized PREMs. Economic evaluation will entail a cost-utility analysis from the payer and societal perspectives, calculating incremental cost-effectiveness ratios (ICERs) per quality-adjusted life year (QALY) gained. Data analysis will apply intention-to-treat principles. Non-inferiority will be tested using mixed-effects regression models for continuous outcomes, adjusting for baseline values, age, sex, graft type, and rehabilitation intensity. Repeated-measures ANOVA will explore trajectory differences across time points. Mediation analyses will investigate whether adherence mediates the relationship between rehabilitation modality and functional outcomes. Cost-effectiveness will be analyzed using bootstrapped (5,000 iterations) probabilistic sensitivity analyses and cost-effectiveness acceptability curves. Subgroup analyses will examine differential effects by age groups (<25 vs ?25), sex, urban vs rural residency, and baseline motivation scores. Theoretical framing will be guided by the Self-Determination Theory to interpret adherence and motivation dynamics and the Health Belief Model to contextualize perceived barriers and benefits of tele-rehabilitation. The study will adhere to CONSORT guidelines for non-inferiority trials and TREND guidelines for non-randomized aspects of economic evaluation, with ethical approval obtained from participating institutions’ review boards. Expected findings anticipate that tele-rehabilitation will be non-inferior to in-person physiotherapy in functional outcomes at 12 months, with comparable IKDC and Lysholm scores, similar or superior adherence rates due to digital scaffolding, and cost savings attributable to reduced travel and facility use. It is anticipated that tele-rehabilitation may yield higher PREMs scores in convenience and accessibility but similar satisfaction regarding therapeutic alliance. Subgroup analyses may reveal marginally better adherence and outcomes among rural residents due to reduced travel burden, while urban participants may show similar outcomes across modalities. The study contributes to knowledge by providing robust, high-quality evidence on the clinical equivalence and economic viability of tele-rehabilitation for ACL recovery, informing clinical guidelines, payer policies, and future research on remote musculoskeletal rehabilitation. The main conclusion is that tele-rehabilitation is an effective and efficient alternative to traditional physiotherapy for ACL rehabilitation, with implications for expanding access, optimizing resource allocation, and personalizing rehabilitation pathways. Recommendations include integrating tele-rehabilitation as a standard option in ACL recovery protocols, investing in user-centered digital platforms to support adherence, and conducting longer-term follow-up studies to assess outcomes beyond 12 months and to explore integration with home-based neuromuscular training programs.
Thesis Overview
This research compares two approaches to rehabilitation after anterior cruciate ligament (ACL) injury or reconstruction: tele-rehabilitation (remote, technology-assisted exercises and monitoring) versus traditional in-person physiotherapy. It asks whether delivering rehab remotely can achieve similar functional outcomes, patient satisfaction, adherence, and recovery timelines as standard clinic-based care. The study addresses a gap in knowledge about the relative effectiveness, accessibility, and cost implications of tele-rehab for ACL recovery, especially in contexts where travel, time constraints, or healthcare access limit regular clinic visits.
What the researcher will do
- Define the population: adults aged 18–45 who have undergone ACL reconstruction within the past 6 weeks and are beginning a standardized rehabilitation program.
- Choose a comparative cross-sectional or cohort design (or a randomized controlled trial if feasible) to compare outcomes between two groups: tele-rehabilitation and in-person physiotherapy, controlling for baseline characteristics.
- Determine sample size based on detecting a clinically meaningful difference in primary outcomes with adequate power (e.g., 80–90%), estimating around 120 participants per group to account for attrition.
- Data collection instruments include objective functional measures (e.g., hop tests, knee flexion/extension range of motion, strength tests), patient-reported outcomes (e.g., IKDC or KOOS questionnaires), adherence metrics (session attendance, home exercise completion), and satisfaction scales.
- Gather data over a fixed rehabilitation window, such as 12 weeks, with assessments at baseline, mid-program, end of program, and a short-term follow-up (3–6 months).
- Data analysis involves descriptive statistics, inferential tests (t-tests or ANOVA for continuous outcomes, chi-square for categorical outcomes), repeated-measures analyses to track change over time, and regression modeling to adjust for confounders. If qualitative insights are included, thematic analysis may be used to interpret patient experiences.
What contribution the study will make
- Clarifies whether tele-rehabilitation can match in-person therapy in functional recovery, return-to-sport timelines, adherence, and satisfaction, informing clinical guidelines and policy decisions.
- Identifies patient subgroups that may benefit more from tele-rehab or require in-person oversight, and highlights cost and accessibility considerations.
Expected outcome
- The study likely finds no clinically meaningful difference in key functional outcomes between tele-rehabilitation and in-person therapy for ACL rehab, with similar adherence and satisfaction, though tele-rehab may offer greater accessibility and reduced travel burden. Recommendations would include integrating tele-rehabilitation as a viable option for ACL recovery, with criteria for patient selection and best-practice protocols.