Evidence map›Paper›PMID 36654932›Full record

ArticleCanadian journal of kidney health and disease2023

Infection Control Practices in In-Center Hemodialysis Units During Wave 1 of the COVID-19 Pandemic in Ontario, Canada: Research Letter.

Angie Yeung, Anas Aziz, Leena Taji, Rebecca Cooper, Matthew J Oliver, Peter G Blake, Phil McFarlane

Abstract read
In one paragraph

Article in Canadian journal of kidney health and disease, 2023. 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

7 authors.

Angie YeungOntario Renal Network, Ontario Health, Toronto, Canada.ORCID https://orcid.org/0000-0003-0542-9984
Anas AzizOntario Renal Network, Ontario Health, Toronto, Canada.
Leena TajiOntario Renal Network, Ontario Health, Toronto, Canada.
Rebecca CooperOntario Renal Network, Ontario Health, Toronto, Canada.
Matthew J OliverOntario Renal Network, Ontario Health, Toronto, Canada.
Peter G BlakeOntario Renal Network, Ontario Health, Toronto, Canada.
Phil McFarlaneOntario Renal Network, Ontario Health, Toronto, Canada.ORCID https://orcid.org/0000-0003-2935-9618

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a virus that caused coronavirus disease 2019 (COVID-19), the multisystem disease central to the COVID-19 pandemic. As patients receiving in-center maintenance hemodialysis require treatment 3 times weekly, they were unable to fully isolate. It was important for in-center hemodialysis units to implement robust infection control practices to ensure patient safety and minimize risk of transmitting SARS-CoV-2 among patients and staff. There are 27 renal programs within Ontario, Canada, providing care for about 9000 people across about 100 in-center hemodialysis units. These units are funded by the Ontario Renal Network (ORN), which is part of the provincial agency Ontario Health. Objective: The objective was to track infection control practices that were implemented by in-center hemodialysis units and be able to provide a descriptive narrative of the COVID-19 pandemic response of Ontario's hemodialysis units between March and September 2020. Methods: Between May and September 2020, data were collected from Ontario's 27 renal programs on the implementation of key infection control practices, including symptom screening, use of personal protective equipment, testing, practices specifically related to patients from congregate living settings, other prevention practices, and outbreak management. There were 4 data collection cycles, each approximately 1 month apart. The results were compiled and shared across the province, and infection control practices were also discussed at provincial COVID-19 teleconferences hosted by the ORN. Results: By March 2020, all but one renal program had implemented one or more forms of symptom screening, all renal programs had implemented physical distancing in waiting rooms and restricted visitors, and 74% of renal programs had implemented universal masking for all staff. By April 2020, 89% of renal programs had implemented universal masking for all patients, 52% had implemented enhanced contact and droplet precautions for suspected or positive cases, and 59% of renal programs tested all patients from congregate living settings regularly (with a low symptom threshold for testing). Infection control practices became more homogeneous across renal programs over time, and most practices were in place as of the last data collection. Conclusions: The renal system in Ontario was able to respond quickly within the first 2 months of the pandemic to minimize the spread of COVID-19 within in-center hemodialysis units. Through provincial teleconferences, infection control practices were shared across the province as the pandemic and hemodialysis unit responses evolved. This supported renal programs to advocate locally if their hospital was lagging in practices felt to be of value in other hemodialysis units. Although no direct correlation can be made regarding the implementation of infection control practices within in-center hemodialysis units and the number of COVID-19 cases in this population, the limited number of outbreaks in hemodialysis units may have been influenced by the proactive response of renal programs. Practices described in this article may support management and response to subsequent waves of COVID-19 or future similar infectious diseases.

Indexed as

COVID-19in-center hemodialysisinfection control

Identifiers

PMID36654932
PMCPMC9841452

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.