Evidence map›Paper›PMID 36003131›Full record

ArticleJournal of infection prevention2022

Investigation of healthcare-associated SARS-CoV-2 infection: Learning outcomes from an investigative process in the initial phase of the pandemic.

Isobel Ramsay, Katherine Sharrocks, Ben Warne, Nyarie Sithole, Pooja Ravji, Rachel Bousfield, Nick Jones, Clare E Leong, Mohamed Suliman, Rachel Tsui and 10 more

Abstract read
In one paragraph

Article in Journal of infection prevention, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

20 authors.

Isobel RamsayClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0002-9954-2023
Katherine SharrocksInfectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID https://orcid.org/0000-0002-0514-1772
Ben WarneInfectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID https://orcid.org/0000-0003-1326-0373
Nyarie SitholeInfectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID https://orcid.org/0000-0002-8020-223X
Pooja RavjiClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0002-2878-5538
Rachel BousfieldClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0001-7828-4048
Nick JonesClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0003-4475-7761
Clare E LeongClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0001-9075-1630
Mohamed SulimanClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0002-5562-5628
Rachel TsuiClinical Microbiology & Public Health Laboratory, Cambridge, UK.
Michelle S TolemanClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0002-4656-3066
Christine MoodyClinical Microbiology & Public Health Laboratory, Cambridge, UK.
Richard SmithClinical Microbiology & Public Health Laboratory, Cambridge, UK.
James WhitehornClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0003-0789-5954
Theodore GouliourisClinical Microbiology & Public Health Laboratory, Cambridge, UK.
Florentina PenciuClinical Microbiology & Public Health Laboratory, Cambridge, UK.
Christian HoflingInfectious Diseases, Universidade Estadual de Campinas, Campinas, Brazil.ORCID https://orcid.org/0000-0003-2951-7620
Chris CunninghamInfectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.ORCID https://orcid.org/0000-0001-9145-673X
David A EnochClinical Microbiology & Public Health Laboratory, Cambridge, UK.ORCID https://orcid.org/0000-0002-5433-0801
Elinor MooreInfectious Diseases, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Healthcare-associated (HCA) SARS-CoV-2 infection is a significant contributor to the spread of the 2020 pandemic. Timely review of HCA cases is essential to identify learning to inform infection prevention and control (IPC) policies and organisational response. Aim: To identify key areas for improvement through rapid investigation of HCA SARS-CoV-2 cases and to implement change. Methods: Cases were identified based on date of first positive SARS-CoV-2 PCR sample in relation to date of hospital admission. Cases were reviewed using a structured gap analysis tool to identify key learning points. These were discussed in weekly multidisciplinary meetings to gain consensus on learning outcomes, level of harm incurred by the patient and required actions. Learning was then promptly fed back to individual teams and the organisation. Findings: Of the 489 SARS-CoV-2 cases admitted between 10 Conclusion: This approach enabled timely learning and implementation of control measures and policy development.

Indexed as

COVID-19gap analysishealthcare-associated infectioninfection prevention and control

Identifiers

PMID36003131
PMCPMC9117956

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.