Evidence map›Paper›PMID 34302883›Full record

ArticleThe Journal of hospital infection2021

Healthcare-associated infection impact with bioaerosol treatment and COVID-19 mitigation measures.

M H Ereth, J Fine, F Stamatatos, B Mathew, D Hess, E Simpser

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of hospital infection, 2021. 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
2.9field-weighted citation impact, top 8% 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, 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

6 authors at 3 institutions in 1 country.

M H ErethMayo Clinic College of Medicine, Rochester, MN, USA. Electronic address: ereth.mark@mayo.edu.
J FineSt. Mary's Hospital for Children, Bayside, NY, USA.
F StamatatosSecureAire, Inc, Dunedin, FL, USA.
B MathewSt. Mary's Hospital for Children, Bayside, NY, USA.
D HessSecureAire, Inc, Dunedin, FL, USA.
E SimpserSt. Mary's Hospital for Children, Bayside, NY, USA.
St. Mary's Hospital · USMease Dunedin Hospital · USMayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe real-world impact of breathing zone air purification and coronavirus disease 2019 (COVID-19) mitigation measures on healthcare-associated infections is not well documented. Engineering solutions to treat airborne transmission of disease may yield results in controlled test chambers or single rooms, but have not been reported on hospital-wide applications, and the impact of COVID-19 mitigation measures on healthcare-associated infection rates is unknown.

aimTo determine the impact of hospital-wide bioaerosol treatment and COVID-19 mitigation measures on clinical outcomes.

methodsThe impact of the step-wise addition of air disinfection technology and COVID-19 mitigation measures to standard multi-modal infection control on particle counts, viral and bacterial bioburden, and healthcare-associated infection rates was investigated in a 124-bed hospital (>100,000 patient-days over 30 months). FINDINGS AND

conclusionThe addition of air disinfection technology and COVID-19 mitigation measures reduced airborne ultrafine particles, altered hospital bioburden, and reduced healthcare-associated infections from 11.9 to 6.6 (per 1000 patient-days) and from 6.6 to 1.0 (per 1000 patient-days), respectively (P<0.0001, R

Indexed as

COVID-19Cross InfectionDelivery of Health CareHumansInfection ControlSARS-CoV-2AerosolizationAerosol transmissionCOVID-19Disease transmissionEngineeringHealthcare-associated infections

Identifiers

PMID34302883
PMCPMC8295046
OpenAlexW3186092623

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.