Evidence map›Paper›PMID 36604755›Full record

ArticleAntimicrobial resistance and infection control2023

Healthcare-associated infections in Dutch hospitals during the COVID-19 pandemic.

Janneke D M Verberk, Tjallie I I van der Kooi, Nynke A Kampstra, Naomi Reimes, Stephanie M van Rooden, Titia E M Hopmans, Suzanne E Geerlings, Sabine C de Greeff

Open access · goldAbstract read
In one paragraph

Article in Antimicrobial resistance and infection control, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.3field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 23 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Janneke D M VerberkDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands. janneke.verberk@rivm.nl.
Tjallie I I van der KooiDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Nynke A KampstraDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Naomi ReimesDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Stephanie M van RoodenDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Titia E M HopmansDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands.
Suzanne E GeerlingsDepartment of Internal Medicine, Amsterdam University Medical Centres, Infection and Immunity, Amsterdam Public Health, University of Amsterdam, Amsterdam, The Netherlands.
Sabine C de GreeffDepartment of Epidemiology and Surveillance, Centre for Infectious Diseases Control, National Institute for Public Health and the Environment, Antonie Van Leeuwenhoeklaan 9, 3721 MA, Bilthoven, The Netherlands. sabine.de.greeff@rivm.nl.
National Institute for Public Health and the Environment · NLUniversity of Amsterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the COVID-19 pandemic hospitals reorganized their resources and delivery of care, which may have affected the number of healthcare-associated infections (HAIs). We aimed to quantify changes in trends in the number of HAIs in Dutch hospitals during the COVID-19 pandemic.

methodsNational surveillance data from 2016 to 2020 on the prevalence of HAIs measured by point prevalence surveys, and the incidence of surgical site infections (SSIs) and catheter-related bloodstream infections (CRBSIs) were used to compare rates between the pre-pandemic (2016-February 2020) and pandemic (March 2020-December 2020) period.

resultsThe total HAI prevalence among hospitalised patients was higher during the pandemic period (7.4%) compared to pre-pandemic period (6.4%), mainly because of an increase in ventilator-associated pneumonia (VAP), gastro-intestinal infections (GIs) and central nervous system (CNS) infections. No differences in SSI rates were observed during the pandemic, except for a decrease after colorectal surgeries (6.3% (95%-CI 6.0-6.6%) pre-pandemic versus 4.4% (95%-CI 3.9-5.0%) pandemic). The observed CRBSI incidence in the pandemic period (4.0/1,000 CVC days (95%-CI 3.2-4.9)) was significantly higher than predicted based on pre-pandemic trends (1.4/1000 (95%-CI 1.0-2.1)), and was increased in both COVID-19 patients and non-COVID-19 patients at the intensive care unit (ICU).

conclusionsRates of CRBSIs, VAPs, GIs and CNS infections among hospitalised patients increased during the first year of the pandemic. Higher CRBSI rates were observed in both COVID-19 and non-COVID-19 ICU population. The full scope and influencing factors of the pandemic on HAIs needs to be studied in further detail.

Indexed as

Catheter-Related InfectionsCOVID-19Cross InfectionDelivery of Health CareHospitalsHumansPandemicsCovid-19Healthcare-associated infectionsPandemicSurveillance

Identifiers

PMID36604755
PMCPMC9813899
OpenAlexW4313576855

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.