Evidence map›Paper›PMID 39758682›Full record

ArticleInfection prevention in practice2025

The financial burden of healthcare-associated infections: a propensity score analysis in an Italian healthcare setting.

S Orlando, M Cicala, C De Santo, C Mosconi, F Ciccacci, L Guarente, M Carestia, G Liotta, D Di Giovanni, E Buonomo and 3 more

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

S OrlandoDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
M CicalaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
C De SantoDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
C MosconiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
F CiccacciFaculty of Medicine, Unicamillus Saint Camillus International University of Health Sciences, Rome, Italy.
L GuarenteDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
M CarestiaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
G LiottaDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
D Di GiovanniIndustrial Engineering Department, University of Rome "Tor Vergata", Rome, Italy.
E BuonomoDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
F RiccardiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
L PalombiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.
L Emberti GialloretiDepartment of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Economic burdenHealthcare-associated infections (HAIs)Hospitalization costsInfection preventionPropensity score analysis

Identifiers

PMID39758682
PMCPMC11699632

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.