ArticleInfection prevention in practice2025
The financial burden of healthcare-associated infections: a propensity score analysis in an Italian healthcare setting.
Article in Infection prevention in practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence for infection surveillance, risk stratification, and antimicrobial decision support in acute-care hospitals: a scoping review.Frontiers in artificial intelligence · 2026Pooled it
- Trends in Healthcare-Associated Infections Prevalence and Risk Factors: Repeated Point Prevalence Survey in a Milan Tertiary Hospital (2022-2025).Antibiotics (Basel, Switzerland) · 2026Article
- Direct economic and temporal burdens of nosocomial infections on orthopaedic patients: a nested case-control study.Epidemiology and infection · 2026Article
- Editorial for the Special Issue "Healthcare-Associated Infections and Antimicrobial Therapy-2nd Edition".Microorganisms · 2026Article
- Epidemiology of Healthcare-Associated Infections Caused by Multidrug-Resistant Bacteria and Antimicrobial Resistance Patterns in a Romanian Tertiary Care Hospital.Journal of clinical medicine · 2026Article
- The Receding Specialty of Infectious Diseases and Implications for U.S. Healthcare.Open forum infectious diseases · 2025Article
- Burden of Healthcare-Associated Infections and Antimicrobial Resistance in a Romanian Cardiovascular and Transplant Center: Factors Associated with Mortality.Antibiotics (Basel, Switzerland) · 2025Article
- Optimization of Loop-Mediated Isothermal Amplification (LAMP) for the Rapid Detection of Nosocomial Pathogens on Environmental Surfaces.International journal of molecular sciences · 2025Article
- Article
- Measuring the burden of nosocomial infection in cancer patients: an analysis based on propensity score matching in China.Frontiers in public health · 2025Article
- Artificial intelligence in hospital infection prevention: an integrative review.Frontiers in public health · 2025Review
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Authors and funding
13 authors.
Funding
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Abstract
Introduction: Hospital-acquired infections (HAIs) present a global public health challenge, impacting patient safety and incurring substantial economic costs across healthcare settings. This study aims to accurately measure the financial burden of HAIs by analyzing real costs associated with various infections, providing insights for targeted prevention and management strategies. Methods: This retrospective cohort study at a university hospital in Rome, Italy, analysed Hospital Discharge Records (HDR) from January to December 2018, focusing on patients with and without HAIs. The study employed ICD-9-CM codes, microbiology databases, and stratified analyses by infection site and microorganism. Cost increments were calculated using DRG reimbursement data. Propensity score matching compared infected patients with matched non-infected counterparts, simulating a randomized trial through two models: one adjusting for length of stay and mortality (less conservative), and one not using these factors as confounders (more conservative). Results: In the study of 12,033 patients at Policlinico Universitario Tor Vergata, 10.07% developed an HAI, significantly raising mean DRG by 53.4% (€3,744 to €5,744). Propensity score analysis showed HAIs elevated costs by €4,695 (60.45%) in one model, and by €3,335 (31.15%) in another. Specific microbes and infection sites further influenced the cost impact, highlighting the need for targeted HAI prevention strategies. Conclusion: Our study reveals the significant economic impact of hospital-acquired infections (HAIs), with a substantial increase in costs linked to specific microorganisms and infection sites. These findings highlight the need for effective HAI prevention strategies to enhance patient safety and reduce healthcare expenditures.
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