Impact of nurse-led care coordination in a regional Australian hospital system: A case study
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction to Nurse-Led Care Coordination in Regional Australia
- 1.2Background of the Regional Hospital System and Its Care Model
- 1.3Statement of the Problem in Coordinated Nursing Care
- 1.4Aim and Objectives of the Study
- 1.5Research Questions Guiding Nurse-Led Coordination
- 1.6Research Hypotheses on Care Coordination Efficacy
- 1.7Significance of Nurse-Led Coordination in Rural Health
- 1.8Scope and Delimitation Within the Regional Hospital Context
- 1.9Limitations Encountered in a Regional Setting
- 1.10Organisation of the Study: Structure and Roles
- 1.11Operational Definition of Terms in Nurse-Led Coordination
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptualization of Care Coordination in Nursing Practice
- 2.2Definitions and Scope of Nurse-Led Care Coordination in Rural Hospitals
- 2.3Theoretical Frameworks Guiding Care Coordination: Complexity Theory and Systems Theory
- 2.4Conceptual Model of Integrated Care in Regional Hospitals
- 2.5Empirical Evidence on Outcomes of Nurse-Led Care Coordination
- 2.6Role Delineation: Case Managers, Clinical Nurse Leaders, and Bedside Nurses
- 2.7Care Transitions and Discharge Planning in Regional Settings
- 2.8Interprofessional Collaboration and Communication Mechanisms
- 2.9Patient Experience of Nurse-Led Coordination in Rural Areas
- 2.10Workforce Sustainability and Nurse Retention Implications
- 2.11Technology and Information Systems in Coordinated Care
- 2.12Identified Gaps in the Literature and the Need for a Regional Case Study
- 2.13Conceptual Model/Synthesis of the Review
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design: A Case Study of Nurse-Led Coordination
- 3.2Philosophical Paradigm Underpinning the Study
- 3.3Population of the Regional Hospital System Context
- 3.4Sample Size and Sampling Technique for Stakeholders
- 3.5Sources of Data and Instruments for Data Collection
- 3.6Validity and Reliability of Instruments in a Rural Setting
- 3.7Data Collection Procedures and Protocols
- 3.8Data Analysis Methods and Coding Framework
- 3.9Model Specification or Analytical Framework Applied
- 3.10Ethical Considerations, Approvals, and Participant Welfare
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Data Presentation Overview and Structure
- 4.2Descriptive Analysis of Participant Demographics and Roles
- 4.3Descriptive Analysis of Care Coordination Practices in the Case Site
- 4.4Hypotheses Testing: Quantitative Outcomes of Care Coordination
- 4.5Qualitative Insights: Thematic Analysis of Stakeholder Interviews
- 4.6Integration of Quantitative and Qualitative Findings
- 4.7Interpretation of Results in Light of Theoretical Frameworks
- 4.8Discussion of Findings Relative to Prior Studies and Gaps
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Key Findings Across Chapters
- 5.2Conclusion Regarding Nurse-Led Care Coordination in the Regional Hospital
- 5.3Contributions to Knowledge and Practice in Rural Nursing
- 5.4Practical Implications for Policy and Hospital Administration
- 5.5Recommendations for Implementing and Scaling Nurse-Led Coordination
- 5.6Suggestions for Further Research in Rural Health Care Coordination
Thesis Abstract
This study investigates how nurse-led care coordination influences patient outcomes, care continuity, and system efficiency within a regional Australian hospital network, addressing the persistent challenges of fragmented care, delayed discharges, and elevated readmission rates in rural health settings. The aim is to evaluate whether nurse-led care coordination improves patient experiences, reduces length of stay, decreases 30-day readmissions, and enhances interprofessional collaboration and discharge planning. Specific objectives include (1) describing the care coordination model employed by nurse coordinators across three regional sites, (2) quantifying changes in patient outcomes such as hospital length of stay, 30-day unplanned readmissions, and patient satisfaction, (3) exploring nurse coordinators’ roles, workload, and perceived barriers and enablers to effective coordination, (4) examining interprofessional collaboration and discharge planning processes, and (5) identifying contextual factors within the regional system that influence implementation and sustainability. A mixed-methods design is employed, integrating a quasi-experimental component with a longitudinal pre-post analysis and a qualitative interpretive strand. The population comprises admitted adult medical-surgical patients across three regional hospitals within the network over a 24-month period, with a sample target of 1,200 patients for the quantitative phase (600 pre-implementation and 600 post-implementation) and purposive sampling of 24 nurse coordinators, 30 ward managers, and 40 discharge planners for interviews. Data collection instruments include (a) electronic medical record data extraction for outcomes (length of stay, 30-day readmission, discharge disposition), (b) patient experience surveys using a validated instrument (short-form Patient Experience Questionnaire), (c) structured time-and-motion logs to quantify nurse coordinator involvement, and (d) semi-structured interviews guided by a theoretical framework. Validity and reliability are addressed through triangulation, pilot testing of instruments, inter-rater coding checks for interview transcripts, and Cronbach’s alpha assessment for the patient experience scale. Analytical approaches combine quantitative and qualitative methods. Descriptive statistics summarize demographic and clinical characteristics; inferential analyses employ difference-in-differences regression to estimate the impact of the nurse-led coordination on length of stay and 30-day readmissions, controlling for case mix, comorbidity (Charlson index), and site effects. Multilevel modeling accounts for clustering at ward and hospital levels. Patient experience scores are analyzed via generalized estimating equations to handle repeated measures. Time-motion data are analyzed using ANOVA to compare workload allocations pre- and post-implementation. The qualitative component utilizes thematic analysis framed by the Normalization Process Theory to examine implementation, integration into routine practice, and sustainability, with coding verified by intercoder agreement (>0.80). Expected findings anticipate reductions in average length of stay by 0.8–1.5 days and a 12–18% reduction in 30-day unplanned readmissions in post-implementation periods, alongside improvements in patient experience scores and discharge readiness. The qualitative analysis is expected to reveal enhanced interprofessional communication, clearer delineation of responsibilities, and increased confidence among patients and families in care transitions, while also identifying barriers such as staffing variability, technology interoperability, and rural workforce constraints. The study contributes to knowledge by providing robust, context-specific evidence on the effectiveness and mechanisms of nurse-led care coordination in regional health systems, integrating Normalization Process Theory with practical metrics of care transitions and patient-centered outcomes. It informs policy and practice by outlining scalable structural and process changes, including standardized handover protocols, telehealth-enabled liaison functions, and targeted training for nurse coordinators to sustain improvements in continuity of care. The main conclusion posits that nurse-led care coordination, when embedded within a supportive regional system with clear roles, adequate staffing, and interoperable information systems, yields meaningful gains in efficiency and patient-centered outcomes, while highlighting the necessity of ongoing organizational commitment to sustain gains. Recommendations include adopting standardized care coordination pathways across regional hospitals, investing in user-friendly electronic discharge planning tools, fostering interprofessional education to reinforce collaborative practice, and implementing continuous monitoring using the embedded metrics to ensure long-term sustainability. The study also suggests avenues for further research, such as comparative analyses across urban–regional networks and exploration of patient subgroups most benefited by nurse-led coordination.
Thesis Overview
The research investigates how nurse-led care coordination functions within a regional Australian hospital system by examining a real-world case study. It asks how coordinated nursing roles influence patient flow, clinical outcomes, patient and staff experiences, and resource use in a setting where access and transfer processes can be challenging due to geography and capacity constraints.
Why it matters: Regional hospitals often face higher readmission rates, longer lengths of stay, and fragmented care when coordination across services is weak. Nurses who actively coordinate care across departments, specialists, primary care, and social supports may improve continuity, reduce duplication, and optimize discharge planning. Understanding the effectiveness and mechanisms of nurse-led coordination can inform policy, workforce planning, and training to improve patient outcomes in regional contexts.
Problem or knowledge gap: While care coordination is well-studied in urban or integrated systems, there is limited evidence on how nurse-led coordination operates in regional Australian hospitals, what specific processes yield measurable benefits, and how contextual factors such as staffing, rural geography, and partnerships with primary care influence outcomes. This study addresses gaps by providing an in-depth, context-rich analysis of one regional hospital system and comparing pre- and post-implementation periods of a nurse-led coordination model.
What the researcher will do step by step:
- Design and setting: conduct a case study in a regional Australian hospital with an established nurse-led care coordination program.
- Data sources: collect quantitative data (patient length of stay, 30-day readmission rates, time to discharge, bed occupancy, patient satisfaction scores) and qualitative data (interviews and focus groups with nurses, physicians, case managers, and patients; observation of care coordination rounds).
- Sample: include all eligible adult inpatients managed through the coordination program over a 12-month period, plus a comparable pre-implementation cohort for comparison; interview 20–25 staff and 20–25 patients.
- Instruments: use hospital administrative databases, validated satisfaction surveys, semi-structured interview guides, and field notes.
- Data analysis: perform descriptive statistics and inferential tests (t-tests or ANOVA for group comparisons, regression analysis to adjust for confounders); apply thematic analysis for qualitative data to identify facilitators and barriers; triangulate findings to build a coherent interpretation.
- Validity and ethics: ensure data accuracy, member checking for qualitative findings, and obtain ethics approval and informed consent.
Expected contribution and outcome: the study will clarify how nurse-led coordination impacts efficiency and patient outcomes in a regional setting, identify key processes and conditions that enable success, and offer practical recommendations for staffing, training, and workflow design. The anticipated outcome is a set of actionable guidelines for implementing or refining nurse-led care coordination to improve discharge planning, reduce readmissions, and enhance patient and staff experience in regional hospitals.