Evidence map›Paper›PMID 38234418›Full record

ArticleAntimicrobial stewardship & healthcare epidemiology : ASHE2024

Influenza outbreak management tabletop exercise for congregate living settings.

Christina K Chan, Jerome A Leis, Heather Candon, Neethu R Thomas, Jaclyn O'Brien, James Callahan, Brigitte Pascual, Marianna Ofner, Fatima Fazalullasha, Adrienne K Chan and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Antimicrobial stewardship & healthcare epidemiology : ASHE, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

12 authors.

Christina K ChanInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Jerome A LeisInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-2250-4894
Heather CandonInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Neethu R ThomasInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Jaclyn O'BrienInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
James CallahanInfection Prevention and Control, Toronto East Health Network, Toronto, ON, Canada.
Brigitte PascualInfection Prevention and Control, Toronto East Health Network, Toronto, ON, Canada.
Marianna OfnerInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.
Fatima FazalullashaToronto Public Health, Toronto, ON, Canada.
Adrienne K ChanInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-9187-9465
Jeff E PowisDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, ON, Canada.ORCID https://orcid.org/0000-0003-2053-6083
Charlie TanInfection Prevention and Control, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.ORCID https://orcid.org/0000-0002-0763-4132

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We conducted a tabletop exercise on influenza outbreak preparedness that engaged a large group of congregate living settings (CLS), with improvements in self-reported knowledge and readiness. This proactive approach to responding to communicable disease threats has potential to build infection prevention and control capacity beyond COVID-19 in the CLS sector.

Identifiers

PMID38234418
PMCPMC10789978

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.