Evidence map›Paper›PMID 41133307›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2025

Case ascertainment of a potential centrally-implemented, automated system for national surveillance of healthcare-associated infections, England, 2016 to 2023.

Jack Cregan, Olisaeloka Nsonwu, Dimple Chudasama, Susan Hopkins, Berit Muller-Pebody, Russell Hope, Ann Sarah Walker, Thai Phuong Quan

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Jack CreganNuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Olisaeloka NsonwuClinical and Public Health Group, UK Health Security Agency, London, United Kingdom.
Dimple ChudasamaClinical and Public Health Group, UK Health Security Agency, London, United Kingdom.
Susan HopkinsClinical and Public Health Group, UK Health Security Agency, London, United Kingdom.
Berit Muller-PebodyClinical and Public Health Group, UK Health Security Agency, London, United Kingdom.
Russell HopeClinical and Public Health Group, UK Health Security Agency, London, United Kingdom.
Ann Sarah WalkerNuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
Thai Phuong QuanNuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUNDMandatory reporting of healthcare-associated infections (HCAI) in England is conducted locally by acute hospital groups and can be a large burden on healthcare staff.AIMWe aimed to determine the case ascertainment of a potential centrally-implemented, automated HCAI surveillance system in England using preexisting data feeds at the UK Health Security Agency.METHODSWe compared monthly case numbers submitted between 1 April 2016 and 31 March 2023 by acute hospital groups (locally-implemented surveillance) to routinely-collected laboratory and hospital encounter records (centrally-implemented surveillance) for all infections under mandatory surveillance in England. Since laboratories can serve multiple hospitals, we compared several methods of assigning laboratory-confirmed cases to hospital groups.RESULTSLocally-implemented vs centrally-implemented surveillance identified: meticillin-resistant

Indexed as

BacteremiaCross InfectionPopulation SurveillanceDisease NotificationEnglandHumansMethicillin-Resistant Staphylococcus aureusautomationdata collectionHealthcare-associated infectionsurveillance

Identifiers

PMID41133307
PMCPMC12555115

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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.