Karadağ, G; Bekker, A; Dramowski, A; Loureiro Gonzalez, B; Pérez López, J; Pijoan Zubizarreta, JI; Heath, PT; Aghdassi, SJS; Piening, B
(2026)
Methodological framework for the surveillance of healthcare-associated infections in high-risk infants: the NeoIPC surveillance core module protocol.
Antimicrobial Resistance & Infection Control, 15 (1).
ISSN 2047-2994
https://doi.org/10.1186/s13756-026-01711-0
SGUL Authors: Heath, Paul Trafford
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PDF (Additional File 1. NeoIPC surveillance protocol)
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PDF (Additional File 2. LMIC evaluation survey)
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PDF (Additional File 3. Data collection sheets)
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PDF (Additional File 4. Surveillance infection definitons)
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PDF (Additional File 5. Infectious agents list)
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Abstract
Background Healthcare-associated infections pose a significant risk to high-risk infants, particularly those with very low birth weight (< 1500 g) and those born very preterm (< 32 weeks gestation). The burden of healthcare-associated infections, contributing risk factors, and efficacy of prevention strategies in the neonatal population remain underinvestigated, with few national and international networks. Methods To address this gap, an international team of experts in neonatology, epidemiology, and infection prevention and control from diverse healthcare settings collaborated as consortium partners within the NeoIPC Project to design a surveillance program focused on healthcare-associated infections and multidrug-resistant organisms in neonatal units. Data collection includes the most prevalent neonatal healthcare-associated infections (primary and secondary bloodstream infections, clinical sepsis, pneumonia, necrotizing enterocolitis, and surgical site infections), the presence of multidrug-resistant bacteria and associated risk and protective factors for healthcare-associated infections. Discussion By providing standardized methods and reference data for benchmarking, the NeoIPC Surveillance aims to support infection prevention and antibiotic stewardship programs, improve neonatal care outcomes and foster international collaboration. This article outlines the methods of the NeoIPC Surveillance Core Module (Version 1.2), details data collection, management, and analysis, and serves as a comprehensive reference for healthcare professionals and researchers worldwide aiming to implement effective surveillance for healthcare-associated infections in neonatal units.
| Item Type: | Article | ||||||||
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| Additional Information: | © The Author(s) 2026. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. | ||||||||
| Keywords: | Healthcare-associated infections, Infection prevention and control, Multidrug-resistant organisms, Neonatal intensive care units, Surveillance systems, Very low birth weight infant | ||||||||
| SGUL Research Institute / Research Centre: | Academic Structure > Infection and Immunity Research Institute (INII) | ||||||||
| Journal or Publication Title: | Antimicrobial Resistance & Infection Control | ||||||||
| ISSN: | 2047-2994 | ||||||||
| Language: | en | ||||||||
| Media of Output: | Print-Electronic | ||||||||
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| Publisher License: | Creative Commons: Attribution 4.0 | ||||||||
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| PubMed ID: | 41715221 | ||||||||
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| URI: | https://openaccess.sgul.ac.uk/id/eprint/118406 | ||||||||
| Publisher's version: | https://doi.org/10.1186/s13756-026-01711-0 |
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