EVALUATION OF SURGICAL SITE INFECTION RISK FACTORS AND PREVENTIVE STRATEGIES IN TERTIARY CARE HOSPITALS
DOI:
https://doi.org/10.66380/chre.1.35Keywords:
Surgical Site Infections, Risk Factors, Preventive Strategies, Tertiary Care Hospitals, Antimicrobial Resistance, Infection ControlAbstract
Background: Surgical site infections (SSIs) remain a major cause of postoperative morbidity, mortality, and economic burden worldwide, particularly in tertiary care hospitals and resource-limited settings. Despite advances in infection-control practices, SSIs continue to occur at unacceptably high rates, necessitating a deeper understanding of their multifactorial etiology and the effectiveness of current preventive strategies.Methods: A mixed-methods, experimental study design was employed, integrating prospective quantitative surveillance with qualitative contextual assessment. Patient-related, procedural, microbial, and institutional variables were systematically analyzed using advanced multivariate and nonlinear modeling approaches. The effectiveness of isolated versus bundled preventive interventions was evaluated through comparative analyses, and complex interaction effects were explored using high-dimensional statistical and graphical techniques.Results: The results demonstrated significant heterogeneity in SSI risk across patient and procedural profiles, with prolonged operative duration, higher wound contamination, and multidrug-resistant organisms emerging as dominant risk amplifiers. Integrated preventive bundles consistently outperformed isolated measures, producing substantial reductions in infection incidence and variability. Enhanced environmental control and postoperative surveillance further improved early detection and outcome stability. Nonlinear interactions among risk determinants highlighted the synergistic nature of SSI pathogenesis and prevention.Conclusion: SSIs are governed by complex, interdependent mechanisms that require comprehensive, system-level preventive strategies. Implementing integrated infection-control frameworks can markedly reduce SSI burden, improve patient outcomes, and alleviate healthcare system costs.




