Impact of Multidisciplinary Rehab Pathways on Post-Stroke Recovery Outcomes: A Case Study in a Regional Hospital Network
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: Multidisciplinary Rehabilitation in Post-Stroke Care
- 2.2Conceptualization of Recovery Outcomes after Stroke
- 2.3Theoretical Framework: Biopsychosocial Model and Complex Systems Theory
- 2.4Theoretical Framework: Neuroplasticity and Rehabilitation Scheduling Theory
- 2.5Empirical Review: Organization-Level Rehabilitation Pathways Across Regions
- 2.6Empirical Review: Multidisciplinary Team Composition and Roles in Stroke Rehab
- 2.7Empirical Review: Care Coordination and Continuity of Care Post-Stroke
- 2.8Empirical Review: Patient-Reported Outcome Measures in Stroke Rehabilitation
- 2.9Empirical Review: Hospital Network-Level Interventions for Stroke Recovery
- 2.10Empirical Review: Resource Utilization and Cost-Effectiveness of Rehab Pathways
- 2.11Identified Gaps in the Literature on Regional Hospital Networks
- 2.12Conceptual Model or Synthesis of the Review: Pathways to Recovery in a Regional Network
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: Mixed-Methods Case Study within a Regional Hospital Network
- 3.2Philosophical Paradigm: Pragmatism and Constructivist Leanings
- 3.3Population of the Study: Stroke Patients, Clinicians, and Care Coordinators
- 3.4Sample Size and Sampling Technique: Purposive and Stratified Sampling
- 3.5Data Sources and Instruments: Medical Records, Standardized Assessments, Interviews, and Observation
- 3.6Validity and Reliability of Instruments: Pilot Testing and Triangulation
- 3.7Data Collection Procedures: Retrospective and Prospective Data Gathering
- 3.8Data Analysis Plan: Descriptive, Inferential Statistics, and Thematic Analysis
- 3.9Model Specification or Analytical Framework: Hierarchical Linear Modeling and Thematic Coding
- 3.10Ethical Considerations: Informed Consent, Privacy, and Data Governance
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Data Presentation: Descriptive Profiles of the Regional Network and Cohorts
- 4.2Descriptive Analysis: Patient Demographics and Stroke Characteristics
- 4.3Descriptive Analysis: Rehabilitation Pathway Utilization Across Sites
- 4.4Hypotheses Testing: Pathway Multidisciplinarity and Functional Outcomes
- 4.5Hypotheses Testing: Time-to-Admission and Length of Rehab Across Pathways
- 4.6Inferential Analysis: Regression of Recovery Metrics on Pathway Variables
- 4.7Thematic Analysis: Perceptions of Clinicians and Patients Regarding Coordination
- 4.8Discussion of Findings: Relation to Conceptual Framework and Literature
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
- 5.2Conclusion: Implications for Post-Stroke Rehabilitation in Regional Networks
- 5.3Contributions to Knowledge: Advancing Multidisciplinary Pathways and Outcomes Measurement
- 5.4Practical Recommendations for Regional Hospitals
- 5.5Policy and Administrative Implications
- 5.6Suggestions for Further Studies
Thesis Abstract
The study investigates how multidisciplinary rehabilitation pathways influence post-stroke recovery outcomes within a regional hospital network, addressing the persistent gap between guideline recommendations and real-world practice that may impede timely, holistic recovery for stroke survivors. The aim is to evaluate whether integrated, team-based rehabilitation improves functional, psychosocial, and caregiver-related outcomes compared with conventional, discipline-specific approaches. Specific objectives are (1) to map current multidisciplinary rehabilitation pathways across three hospitals in the network; (2) to quantify functional recovery using the Fugl-Meyer Assessment (upper and lower extremity), Modified Rankin Scale, and Barthel Index at 3 and 6 months post-stroke; (3) to assess psychosocial well-being with the Hospital Anxiety and Depression Scale and Stroke Impact Scale; (4) to evaluate health service utilization, readmission rates, and length of stay; (5) to explore patient, caregiver, and clinician experiences to identify facilitators and barriers to pathway implementation; and (6) to determine the association between pathway intensity (number of disciplines involved, frequency of multidisciplinary meetings) and recovery trajectories. A mixed-methods design guides this study, integrating quantitative longitudinal analyses with qualitative insights anchored in the notion of collaborative care models and the biopsychosocial framework. The population comprises adult stroke survivors admitted to the regional hospital network over a 12-month recruitment window, with a planned sample of 320 participants to achieve adequate power for detecting clinically meaningful differences in functional outcomes. Inclusion criteria include first-ever ischemic or hemorrhagic stroke, initiation of rehabilitation within 14 days post-stroke, and capacity to provide informed consent or via a proxy. Exclusion criteria include pre-morbid disability precluding meaningful functional assessment and severe aphasia without adequate communication support. Quantitative data will be collected from patient medical records, standardized outcome measures at baseline (discharge), 3 months, and 6 months post-stroke, and health-system utilization data. Qualitative data will be gathered through semi-structured interviews with 40 patients, 20 caregivers, and 15 clinicians, plus focus groups with rehabilitation teams, using purposive sampling to capture diverse experiences. Quantitative analyses will employ linear mixed-effects models to examine trajectories of functional and psychosocial outcomes over time, controlling for baseline severity, age, sex, comorbidities, and stroke type. Multivariate regression will assess the relationship between pathway intensity and outcomes, while time-to-event analyses will compare readmission and length-of-stay metrics. Mediation analyses will explore whether improved psychosocial well-being mediates the effect of multidisciplinary pathways on functional recovery. The qualitative component will utilize thematic analysis, supported by NVivo, to identify patterns related to interprofessional communication, role clarity, patient engagement, and organizational culture. A convergent parallel design will synthesize quantitative and qualitative findings to provide a comprehensive interpretation of how multidisciplinary rehabilitation pathways influence recovery. The expected findings include superior functional gains (as indicated by higher Barthel Index and Fugl-Meyer scores) and reduced disability (lower Modified Rankin Scale) among participants engaged in multidisciplinary pathways, accompanied by improved mood, greater perceived impact on daily living, and reduced caregiver burden. It is anticipated that higher pathway intensity will correlate with more favorable outcomes, mediated by enhanced patient engagement and adherence to rehabilitation plans. Qualitative insights are expected to reveal facilitators such as structured interprofessional rounds, shared goals, standardized referral criteria, and robust patient education, alongside barriers including workforce constraints, information silos, and variability in pathway adoption across sites. The study contributes to knowledge by providing empirical evidence on the effectiveness of multidisciplinary rehabilitation pathways in real-world regional hospital settings, extending the applicability of collaborative care theories (e.g., the Chronic Care Model and Interdisciplinary Team Theory) to post-stroke recovery. It will offer actionable guidance for policy-makers and managers on designing and scaling integrated rehabilitation services, including criteria for pathway standardization, workforce planning, and information-sharing infrastructure. The main conclusion is that well-implemented multidisciplinary rehabilitation pathways can enhance functional and psychosocial outcomes for stroke survivors and reduce health-system utilization when complemented by active patient and caregiver engagement. Recommendations include establishing formalized multidisciplinary pathways with predefined roles, periodic outcome monitoring, investment in cross-training and interoperable information systems, and ongoing qualitative assessment to address contextual barriers and sustain practice improvements. Suggestions for further research include longitudinal evaluation beyond six months, cost-effectiveness analyses, and exploration of pathway adaptability in rural and peri-urban settings.
Thesis Overview
This research examines how coordinated care from diverse rehabilitation professionals (for example, physiotherapists, occupational therapists, speech-language pathologists, neuropsychologists, and social workers) affects recovery after stroke within a regional hospital network. The goal is to understand whether structured multidisciplinary pathways improve functional outcomes, length of hospital stay, community reintegration, and patient satisfaction compared with usual care.
Why it matters: Stroke is a leading cause of long-term disability. While multidisciplinary teams are recommended, there is limited evidence about how specific pathway designs within real-world hospital networks influence recovery trajectories. By focusing on a regional network, the study addresses generalizability beyond tertiary centers and identifies practical factors that enable or hinder effective collaboration and patient progress.
Problem or knowledge gap: There is inconsistent documentation of how multidisciplinary coordination, timing of assessments, and integrated goal-setting translate into meaningful outcomes for stroke survivors in routine clinical settings. The research seeks to link organizational features and care processes to patient-centered results.
What the researcher will do, step by step:
1. Define the study setting within a regional hospital network and map existing multidisciplinary rehab pathways.
2. Recruit adult stroke patients admitted to rehabilitation services over a 12-month period, targeting a sample size of 250–300 participants to ensure adequate power for subgroup analyses.
3. Collect data on clinical outcomes (functional independence measures, gait speed, and activities of daily living), length of stay, readmission rates, discharge destination, and patient-reported satisfaction at discharge and 3-month follow-up.
4. Gather process measures: timing and intensity of therapy sessions, number of disciplines involved, frequency of goal-setting meetings, and adherence to a formal rehab pathway.
5. Use quantitative analyses (multivariate regression to adjust for baseline severity, ANOVA for group comparisons, and survival analysis for time-to-discharge) and qualitative methods (semi-structured interviews with patients and staff to explore experiences of the pathway).
6. Integrate findings to identify which elements of multidisciplinary pathways are most strongly associated with better outcomes, and develop a practical framework for pathway optimization.
7. Discuss limitations, such as potential selection bias and variability in pathway implementation across sites.
Expected contribution and outcomes: The study will provide evidence on the effectiveness of structured multidisciplinary rehab pathways in a real-world regional setting, identify key components that drive improvement, and offer actionable recommendations for optimizing team collaboration, scheduling, and outcome monitoring.
Potential implications: Healthcare administrators can use the findings to design scalable pathway models; clinicians can align practice with evidence-based processes; and policymakers can justify resource allocation toward integrated rehabilitation services.