Evidence map›Paper›PMID 34870142›Full record

ArticleInfection prevention in practice2022

Effectiveness of infection prevention and control interventions, excluding personal protective equipment, to prevent nosocomial transmission of SARS-CoV-2: a systematic review and call for action.

Yalda Jafari, Mo Yin, Cherry Lim, Diane Pople, Stephanie Evans, James Stimson, Thi Mui Pham, LSHTM CMMID COVID-19 working group, Jonathan M Read, Julie V Robotham and 2 more

Open access · goldAbstract read
In one paragraph

Article in Infection prevention in practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 22 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

12 authors at 7 institutions in 4 countries.

Yalda JafariCentre for Mathematical Modelling of Infectious Diseases, IDE, EPH, London School of Hygiene & Tropical Medicine, London, United Kingdom.
Mo YinMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Cherry LimMahidol-Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
Diane PopleHealthcare Associated Infections and Antimicrobial Resistance Division, National Infection Service, PHE, Colindale, London, UK.
Stephanie EvansHealthcare Associated Infections and Antimicrobial Resistance Division, National Infection Service, PHE, Colindale, London, UK.
James StimsonHealthcare Associated Infections and Antimicrobial Resistance Division, National Infection Service, PHE, Colindale, London, UK.
Thi Mui PhamJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands.
LSHTM CMMID COVID-19 working group
Jonathan M ReadLancaster Medical School, Lancaster University, Lancaster, UK.
Julie V RobothamHealthcare Associated Infections and Antimicrobial Resistance Division, National Infection Service, PHE, Colindale, London, UK.
Ben S CooperCentre for Tropical Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Gwenan M KnightCentre for Mathematical Modelling of Infectious Diseases, IDE, EPH, London School of Hygiene & Tropical Medicine, London, United Kingdom.
London School of Hygiene & Tropical Medicine · GBLancaster University · GBMahidol Oxford Tropical Medicine Research Unit · THNational University Hospital · SGNuffield Orthopaedic Centre · GBUniversity Medical Center Utrecht · NLUniversity of Oxford · GB

Funding

Medical Research Council MC_PC_19065Medical Research Council MR/P014658/1Medical Research Council MR/S003975/1Medical Research Council MR/V028456/1Medical Research Council MR/V038613/1Wellcome Trust 208812/Z/17/Z
6 · The paper itself

Abstract

Many infection prevention and control (IPC) interventions have been adopted by hospitals to limit nosocomial transmission of SARS-CoV-2. The aim of this systematic review is to identify evidence on the effectiveness of these interventions. We conducted a literature search of five databases (OVID MEDLINE, Embase, CENTRAL, COVID-19 Portfolio (pre-print), Web of Science). SWIFT ActiveScreener software was used to screen English titles and abstracts published between 1st January 2020 and 6th April 2021. Intervention studies, defined by Cochrane Effective Practice and Organisation of Care, that evaluated IPC interventions with an outcome of SARS-CoV-2 infection in either patients or healthcare workers were included. Personal protective equipment (PPE) was excluded as this intervention had been previously reviewed. Risks of bias were assessed using the Cochrane tool for randomised trials (RoB2) and non-randomized studies of interventions (ROBINS-I). From 23,156 screened articles, we identified seven articles that met the inclusion criteria, all of which evaluated interventions to prevent infections in healthcare workers and the majority of which were focused on effectiveness of prophylaxes. Due to heterogeneity in interventions, we did not conduct a meta-analysis. All agents used for prophylaxes have little to no evidence of effectiveness against SARS-CoV-2 infections. We did not find any studies evaluating the effectiveness of interventions including but not limited to screening, isolation and improved ventilation. There is limited evidence from interventional studies, excluding PPE, evaluating IPC measures for SARS-CoV-2. This review calls for urgent action to implement such studies to inform policies to protect our most vulnerable populations and healthcare workers.

Identifiers

PMID34870142
PMCPMC8628369
OpenAlexW3217707571

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.