Infection Control Practices in In-Center Hemodialysis Units During Wave 1 of the COVID-19 Pandemic in Ontario, Canada: Research Letter
Notice bibliographique
Résumé
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.
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Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,002 | 0,008 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,007 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
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