Optimization of antimicrobial stewardship in a tertiary hospital in São Paulo, Brazil
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction
Optimization of Antimicrobial Stewardship in a Tertiary Hospital in São Paulo, Brazil: An Introduction to the Case
- 1.2Background of the Study
Historical and Institutional Context of Antimicrobial Use in the Hospital Setting
- 1.3Statement of the Problem
Gaps in Current Stewardship Practices and Consequences for Resistance and Patient Outcomes
- 1.4Aim and Objectives of the Study
Overarching Aim and Specific, Measurable Objectives Targeting Stewardship Optimization
- 1.5Research Questions
Key Questions Guiding Assessment, Intervention Design, and Evaluation
- 1.6Research Hypotheses
Testable Hypotheses Linking Interventions to Outcomes in Stewardship
- 1.7Significance of the Study
Clinical, Operational, and Policy Implications for São Paulo’s Healthcare System
- 1.8Scope and Delimitation of the Study
Boundaries, Setting, Time Frame, and Population Focus
- 1.9Limitations of the Study
Potential Constraints and Mitigation Strategies
- 1.10Organisation of the Study
Structure and Logical Flow Across Chapters
- 1.11Operational Definition of Terms
Definitions Specific to Antimicrobial Stewardship Concepts
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Review: Antimicrobial Stewardship Fundamentals in Hospital Settings
- 2.2Conceptual Review: Antimicrobial Resistance Trends in Brazil and Latin America
- 2.3Theoretical Framework: Implementation Science in Healthcare Interventions
- 2.4Theoretical Framework: Diffusion of Innovations Applied to Stewardship
- 2.5Empirical Review: Global Antimicrobial Stewardship Programs in Tertiary Hospitals
- 2.6Empirical Review: Brazil-specific Stewardship Initiatives and Outcomes
- 2.7Empirical Review: Diagnostic Stewardship and its Role in Antimicrobial Optimization
- 2.8Empirical Review: Multidisciplinary Teams and Pharmacist-led Interventions
- 2.9Empirical Review: Electronic Health Records, Decision Support, and Stewardship
- 2.10Empirical Review: Compliance, Behavior Change, and Clinician Engagement
- 2.11Identified Gaps in the Literature
Gaps Relevant to the São Paulo Tertiary Hospital Context
- 2.12Conceptual Model: Integrated Framework for Stewardship Optimization
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design
Case Study Design Focusing on a Single Tertiary Hospital in São Paulo
- 3.2Philosophical Paradigm
Postpositivist Approach with Pragmatic Considerations
- 3.3Population of the Study
Healthcare Professionals, Pharmacists, Clinicians, Microbiology Lab Staff, and Patients
- 3.4Sample Size and Sampling Technique
Purposive and Convenience Sampling with Justified Size Estimates
- 3.5Sources and Instruments of Data Collection
Electronic Medical Records, Pharmacy Datasets, Interviews, Focus Groups, and Policy Documents
- 3.6Validity and Reliability of Instruments
Triangulation, Pilot Testing, and Expert Panel Review
- 3.7Data Collection Procedures
Protocol for Collecting Quantitative and Qualitative Data
- 3.8Data Management and Security
Data Coding, Storage, and Confidentiality Measures
- 3.9Data Analysis Methods
Descriptive, Inferential Statistics, and Thematic Analysis Approaches
- 3.10Model Specification or Analytical Framework
Statistical Models for Antibiotic Utilization and Time-series Analyses
- 3.11Ethical Considerations
Informed Consent, Confidentiality, and Ethics Committee Approvals
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION OF FINDINGS
- 4.1Data Presentation: Overview of Stewardship Practices at the Hospital
- 4.2Descriptive Analysis: Baseline Antimicrobial Utilization Metrics
- 4.3Descriptive Analysis: Compliance with Guidelines and Protocols
- 4.4Inferential Analysis: Impact of Interventions on Antibiotic Consumption
- 4.5Inferential Analysis: Clinical Outcomes and Resistance Patterns
- 4.6Hypotheses Testing: Effectiveness of Stewardship Interventions
- 4.7Process Evaluation: Barriers and Facilitators to Implementation
- 4.8Interpretation of Results: Alignment with the Literature and Theoretical Framework
- 4.9Discussion of Findings: Implications for Practice in São Paulo
- 4.10Synthesis: Integrated Discussion Across Quantitative and Qualitative Findings
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Findings
Concise Recap of Key Results Across Chapters
- 5.2Conclusion
Overall Inference Regarding Stewardship Optimization in the Case Hospital
- 5.3Contribution to Knowledge
Advancements in Antimicrobial Stewardship Implementation Science
- 5.4Practical Recommendations
Policy, Clinical Practice, and Administrative Actions for the Hospital
- 5.5Recommendations for Further Studies
Identified Gaps and Future Research Directions
Thesis Abstract
Antimicrobial resistance (AMR) represents a critical threat to patient safety and healthcare quality in tertiary hospital settings, where empiric broad-spectrum antibiotic use, diagnostic uncertainty, and interprofessional practice patterns drive suboptimal antimicrobial stewardship (AMS) and worsened clinical outcomes. This study addresses the gap in context-specific evaluation of AMS effectiveness within a large teaching hospital in São Paulo, Brazil, aiming to optimize antibiotic usage, reduce inappropriate prescribing, and improve patient outcomes through a data-driven, multidisciplinary intervention. The objectives are to (1) quantify baseline antibiotic consumption and guideline concordance across inpatient units, (2) identify determinants of non-adherence to AMS protocols using a multilevel conceptual framework, (3) implement targeted stewardship interventions informed by local data, including prospective audit with feedback, de-escalation prompts, and formulary restrictions, (4) evaluate the impact of interventions on clinical outcomes (length of stay, 30-day readmission, incidence of Clostridioides difficile infection, and in-hospital mortality), and (5) develop a scalable model for continuous AMS improvement suitable for other Brazilian tertiary hospitals. The study employs a mixed-methods design over 18 months, integrating quantitative and qualitative components. The population comprises adult inpatients admitted to the hospital’s medical, surgical, and intensive care units. A stratified random sample of 600 patient charts will be reviewed for antibiotic appropriateness at baseline, with a subsequent sample of 800 charts post-intervention to assess changes in prescribing patterns. Antibiotic utilization will be quantified using Defined Daily Doses per 1,000 patient-days, and guideline adherence will be evaluated against national and WHO-recommended standards. Data collection instruments include a standardized AMS audit tool, electronic health record extraction protocols, and structured interviews with prescribers and stewardship team members. Validity and reliability will be ensured through pilot testing (n=60 records), inter-rater reliability assessments (? > 0.80), and triangulation across data sources. Multivariate regression and interrupted time-series analyses will be employed to examine changes in antibiotic consumption and clinical outcomes, controlling for confounders such as comorbidity burden, severity of illness, and unit-specific factors. A thematic analysis of qualitative data from clinician interviews and AMS team meetings will illuminate barriers and enablers to guideline-concordant prescribing, guided by the Consolidated Framework for Implementation Research (CFIR) and the Theory of Planned Behavior to understand intention and behavior change dynamics. The theoretical underpinning integrates realist evaluation to interpret context-mechanism-outcome configurations and the Diffusion of Innovations theory to explain adoption patterns of stewardship practices. Anticipated findings include a statistically significant reduction in broad-spectrum antibiotic use (relative risk reduction ?15%), improved guideline concordance (from baseline ~60% to ?80%), shorter median hospital stay, and a lower incidence of antimicrobial-related adverse events without increasing mortality. The study is expected to reveal contextual determinants such as unit culture, leadership engagement, and information system capabilities as key drivers of AMS success, offering evidence on which interventions produce durable practice change in a Brazilian tertiary hospital. The contribution to knowledge lies in providing an empirically grounded, context-specific AMS optimization model that combines quantitative impact assessment with qualitative insights into implementation processes, thereby informing policy with practical, scalable strategies for LMIC hospital settings. Conclusions will emphasize the necessity of integrated stewardship governance, continuous feedback mechanisms, and capacity-building initiatives for sustained improvement. Recommendations include expanding audit-and-feedback cycles, implementing rapid diagnostic testing support, enhancing electronic decision-support tools, and establishing routine outcomes surveillance to sustain gains and facilitate a broader national benchmark for AMS effectiveness in Brazil.
Thesis Overview
This research investigates how antimicrobial stewardship (AMS) programs operate and can be improved in a tertiary hospital in São Paulo, Brazil. AMS aims to optimize the use of antibiotics to improve patient outcomes, reduce resistance, and lower costs. The study addresses the gap between AMS guidelines and real-world practice in Brazilian tertiary care, where antibiotic prescribing may vary by department, clinicians, and patient case mix, often leading to overuse or inappropriate therapy.
The problem to be tackled is the inconsistent adherence to AMS protocols and the lack of locally tailored strategies that consider hospital workflow, resource constraints, and local resistance patterns. By focusing on a single well-defined institution, the project can provide actionable insights while remaining generalizable to similar settings in urban Brazil.
What the researcher will do, step by step:
- Define the hospital setting, AMS objectives, and key outcomes (e.g., days of therapy per 1000 patient-days, guideline concordance, antimicrobial resistance rates).
- Collect data on current prescribing practices using retrospective chart reviews for a defined period (e.g., 12 months) and prospectively monitor antibiotic use in selected units.
- Gather qualitative data through semi-structured interviews and focus groups with prescribers, pharmacists, and infection control staff to identify barriers and enablers of AMS adherence.
- Analyze quantitative data with descriptive statistics and regression analyses to identify predictors of guideline-concordant prescribing and to assess trends over time.
- Analyze qualitative data with thematic analysis to extract themes related to workflows, knowledge gaps, and organizational culture.
- Integrate findings to propose a tailored AMS intervention package and test its potential impact using a before-and-after approach in a pilot ward.
Contribution and expected outcomes:
- A context-specific assessment of AMS performance in a Brazilian tertiary hospital, with identified gaps and actionable recommendations.
- A set of practical interventions (e.g., education, decision-support tools, formulary adjustments, enhanced audit and feedback) customized to local constraints.
- Evidence on the feasibility and potential effectiveness of the proposed AMS enhancements, with metrics to guide scale-up.
The study is expected to improve antibiotic appropriateness, reduce unnecessary exposure, and inform policy for AMS implementation in similar high-resource hospital settings in Brazil.