The Physiotherapy Pain-Engagement Activation Model (PEAM) for Rehab Outcomes | Blazingprojects Postgraduate Thesis
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The Physiotherapy Pain-Engagement Activation Model (PEAM) for Rehab Outcomes

 

Table Of Contents


Chapter ONE

INTRODUCTION

  • 1.1Introduction
  • 1.2Background of the PEAM for Rehab Outcomes
  • 1.3Statement of the Problem: Gaps in Pain-Engagement Dynamics during Physiotherapy
  • 1.4Aim and Objectives of the PEAM Study
  • 1.5Research Questions Addressed by PEAM
  • 1.6Research Hypotheses for Model Validation
  • 1.7Significance of PEAM to Clinical Practice and Education
  • 1.8Scope and Delimitation of the PEAM Study
  • 1.9Limitations of the PEAM Research
  • 1.10Organisation of the Study: How PEAM Unfolds
  • 1.11Operational Definition of Terms for PEAM Context

Chapter TWO

LITERATURE REVIEW

  • 2.1Conceptual Review: Pain, Engagement, and Rehabilitation in Physiotherapy
  • 2.2Conceptualising Activation in Rehabilitation: From Pain to Participation
  • 2.3The Physiotherapy Pain-Engagement Activation Model (PEAM): Core Constructs
  • 2.4Theoretical Framework: Self-Determination Theory and Biopsychosocial Pain Model
  • 2.5Theoretical Framework: Expectancy-Value Theory in Rehabilitation
  • 2.6Empirical Review: Pain Perception and Engagement in Musculoskeletal Physiotherapy
  • 2.7Empirical Review: Behavioral Activation and Adherence in Rehab Contexts
  • 2.8Empirical Review: Patient-Clinician Shared Decision-Making and Outcomes
  • 2.9Empirical Review: Technology-Enhanced Engagement in Physiotherapy
  • 2.10Empirical Review: Motivation, Self-Efficacy, and Functional Recovery
  • 2.11Gaps in the Literature: The Need for an Integrated PEAM Framework
  • 2.12Conceptual Model/Summary of the Review for PEAM

Chapter THREE

RESEARCH METHODOLOGY

  • 3.1Research Design: Multimethod Model-Development and Validation
  • 3.2Philosophical Paradigm: Pragmatism in Model-Building
  • 3.3Population of the Study: Adult Patients Undergoing Musculoskeletal Physiotherapy
  • 3.4Sample Size and Sampling Technique: Stratified and Purposive Sampling for Model Testing
  • 3.5Sources and Instruments of Data Collection: Clinician and Patient Reports, Engagement Scales, and Pain Inventories
  • 3.6Validity and Reliability of Instruments: Content, Construct, and Criterion Validity
  • 3.7Procedure for Data Collection: Phase-wise Data Capture for Model Refinement
  • 3.8Model Specification: PEAM Constructs, Indicators, and Pathways
  • 3.9Data Analysis Methods: Structural Equation Modeling and Mixed-Methods Integration
  • 3.10Ethical Considerations: Informed Consent, Confidentiality, and Safety

Chapter FOUR

DATA PRESENTATION AND ANALYSIS

  • ANALYSIS AND DISCUSSION
  • 4.1Data Presentation Plan for PEAM Inputs and Outputs
  • 4.2Descriptive Analysis: Demographics, Baseline Pain, and Engagement Profiles
  • 4.3Reliability and Validity Checks of PEAM Measures
  • 4.4Hypotheses Testing: PEAM Path Coefficients and Mediation Effects
  • 4.5Model Fit and Refinement: SEM Results for PEAM
  • 4.6Subgroup Analyses: Differences by Age, Gender, and Condition
  • 4.7Interpretation of PEAM Findings in the Context of Pain-Engagement Dynamics
  • 4.8Discussion of PEAM Findings Relative to Theoretical Frameworks

Chapter FIVE

SUMMARY, CONCLUSION AND RECOMMENDATIONS

  • CONCLUSION AND RECOMMENDATIONS
  • 5.1Summary of PEAM Study Findings
  • 5.2Conclusion: What PEAM Adds to Rehabilitation Theory and Practice
  • 5.3Contribution to Knowledge: The PEAM as a Theoretical and Clinical Tool
  • 5.4Recommendations for Clinicians, Educators, and Policy Makers
  • 5.5Suggestions for Future PEAM-Related Research

Thesis Abstract

This study addresses the persistent gap between pain management and functional engagement in physiotherapy rehabilitation by proposing a structured model that integrates pain processing, motivational activation, and engagement strategies to optimize rehab outcomes. The aim is to develop and validate the Physiotherapy Pain-Engagement Activation Model (PEAM) and to assess its predictive validity for functional recovery in musculoskeletal rehabilitation. Specific objectives are to (a) delineate the core constructs of PEAM and their interrelationships, (b) examine the predictive power of PEAM constructs on functional outcomes, (c) evaluate the mediating role of patient engagement in the relationship between pain and rehabilitation adherence, (d) compare PEAM-based interventions with standard care, and (e) provide actionable guidelines for clinical implementation. A convergent mixed-methods design guides the study, drawing on a sequential explanatory framework. The population comprises adults aged 18–65 undergoing outpatient physiotherapy for non-acute musculoskeletal conditions at three tertiary care centers. A sample of 320 participants is targeted for quantitative data, with qualitative insight from a purposive subsample of 40 participants to explore experiential nuances. Quantitative data are collected at baseline, six weeks, and twelve weeks using validated instruments the Brief Pain Inventory (for pain interference), the Pain Catastrophizing Scale, the Utrecht Work Engagement Scale adapted for health behavior, the Treatment Adherence Questionnaire, the Physical Functioning subscale of the SF-36, and therapist-rated functional progress. PEAM constructs are operationalized as pain processing (pain intensity, interference, catastrophizing), engagement activation (intrinsic motivation, perceived value of rehabilitation), and engagement behaviors (adherence, participation in home exercise programs). Qualitative data are gathered through semi-structured interviews conducted at week twelve, focusing on perceived barriers and facilitators to engagement, and experiences of PEAM-informed interventions. Quantitative analyses involve structural equation modeling (SEM) to test the hypothesized PEAM pathways, multiple regression to determine the incremental variance explained by PEAM over standard care, and mediation analyses to assess whether engagement mediates the pain–outcome relationship. Repeated-measures ANOVA examines changes over time in pain, engagement, and function. The qualitative data are analyzed using thematic analysis, with coding conducted independently by two researchers and integrated with quantitative findings via a mixed-methods matrix to triangulate results and refine the theoretical model. The study also includes a pilot randomized controlled trial (n=100) comparing PEAM-guided rehabilitation sessions to usual care, with primary outcomes including functional status (WOMAC or PSFS depending on condition) and pain interference at twelve weeks. Expected findings anticipate that PEAM will account for a larger share of variance in functional outcomes than conventional care, with engagement activation and adherence mediating the pain–function relationship. Specifically, higher pain processing distress and catastrophizing are predicted to undermine engagement, whereas PEAM-driven strategies—such as value-congruence messaging, goal setting, and self-regulatory support—will enhance engagement behaviors and functional gains. The qualitative component is expected to reveal themes around perceived autonomy support, therapeutic alliance, and the perceived relevance of home exercise programs as critical determinants of sustained engagement. The study contributes to knowledge by operationalizing a theoretically grounded model that unifies pain neuroscience with motivational and behavioral theories, including Self-Determination Theory and the Health Belief Model, to explain rehabilitation outcomes. PEAM offers a structured framework for clinicians to tailor interventions that simultaneously address pain processing and engagement determinants, potentially reducing non-adherence and improving long-term functional recovery. The anticipated conclusion is that PEAM-based interventions yield superior functional outcomes and adherence rates compared with usual care, particularly for patients with elevated pain interference and catastrophizing. Recommendations include integrating PEAM assessment into routine intake, training clinicians in engagement-enhancement techniques, and disseminating PEAM guidelines across musculoskeletal rehabilitation services to improve patient-centered care and rehab effectiveness. Further research should examine PEAM’s applicability across chronic pain populations and investigate cost-effectiveness in diverse clinical settings.

Thesis Overview

This research aims to develop and test a framework called the Physiotherapy Pain-Engagement Activation Model (PEAM) to improve rehabilitation outcomes. It integrates how pain experiences influence patient engagement in therapy and how engagement, in turn, affects functional recovery. The central idea is that pain management, motivation, and adherence are not separate problems but parts of a dynamic system that determines how well patients progress through physiotherapy programs. Why it matters: Many rehab efforts fail not because of technical skills alone, but because patients become disengaged due to pain, fear, or low perceived benefit. PEAM seeks to explain and quantify these interactions to identify leverage points where clinicians can intervene—such as pain modulation strategies, goal setting, education, and behavior change techniques—to boost engagement and thereby improve outcomes like function, return to work, and quality of life. Problem or knowledge gap: While there are separate theories on pain, motivation, and adherence, there is limited integrated models that connect pain experiences directly with engagement behaviors within physiotherapy contexts. PEAM proposes a cohesive framework that maps the causal links among pain intensity, pain catastrophizing, self-efficacy, therapeutic alliance, goal attainment, and actual rehabilitation progress. What the researcher will do, step by step: - Conduct a mixed-methods study starting with a scoping review to identify relevant constructs and existing measures. - Develop a PEAM-based survey instrument and a qualitative interview guide to capture pain, engagement, and rehabilitation progress. - Recruit a consecutive sample of 250 adults undergoing musculoskeletal physiotherapy across three clinics and collect baseline, mid-treatment, and post-treatment data. - Data collection instruments will include validated scales such as the Numeric Pain Rating Scale, Pain Catastrophizing Scale, Pain Self-Efficacy Questionnaire, Working Alliance Inventory, and the Physical Functioning subscale of a standard disability index, supplemented by treatment adherence logs. - Analyze quantitative data with structural equation modeling to test the hypothesized pathways among pain, engagement, and outcomes, and perform subgroup analyses by age and condition. Qualitative data from interviews will be analyzed using thematic analysis to enrich understanding of mechanisms and contextual factors. - Integrate findings to refine the PEAM and propose practical guidelines for clinicians. Contribution and expected outcome: The study will provide an empirically tested, integrative model linking pain experiences to engagement and rehab outcomes, offering actionable strategies for assessment and intervention in physiotherapy. It is expected that higher engagement mediated by improved pain management and stronger therapeutic alliance will predict better functional outcomes. The research will contribute to theory by linking pain coping and engagement frameworks within rehabilitation and inform clinical protocols to tailor interventions to individual pain-engagement profiles.

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