Inverse probability weighting leads to more accurate incidence estimates for healthcare-associated infections in intensive care units - results from two national surveillance systems.

Saved in:
Bibliographic Details
Title: Inverse probability weighting leads to more accurate incidence estimates for healthcare-associated infections in intensive care units - results from two national surveillance systems.
Authors: Vicentini C; Department of Public Health and Paediatrics, University of Turin, Turin, Italy. Electronic address: costanza.vicentini@unito.it., Bussolino R; Department of Public Health and Paediatrics, University of Turin, Turin, Italy., Perego M; Laboratory of Clinical Data Science, Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy., Silengo D; SS Degenza Terapia Intensiva, Ospedale San Giovanni Bosco, ASL Città di Torino, Turin, Italy., D'Ancona F; Epidemiology, Biostatistics and Mathematical Modeling Unit (EPI), Department of Infectious Diseases, Istituto Superiore Di Sanità (ISS), Rome, Italy., Finazzi S; Laboratory of Clinical Data Science, Department of Medical Epidemiology, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy., Zotti CM; Department of Public Health and Paediatrics, University of Turin, Turin, Italy.
Source: The Journal of hospital infection [J Hosp Infect] 2025 Jan; Vol. 155, pp. 73-81. Date of Electronic Publication: 2024 Oct 30.
Publication Type: Journal Article
Journal Info: Publisher: W.B. Saunders For The Hospital Infection Society Country of Publication: England NLM ID: 8007166 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1532-2939 (Electronic) Linking ISSN: 01956701 NLM ISO Abbreviation: J Hosp Infect Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1532-2939
DOI:10.1016/j.jhin.2024.10.009