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Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks

Background: At the start of the COVID-19 pandemic, the DC Department of Health (DC Health) mandated new case reporting for early outbreak detection: (1) weekly healthcare personnel (HCP) absenteeism line lists indicating staff absent for confirmed or suspected SARS-CoV-2, (2) daily line lists of all...

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Autores principales: Solar, Sophie, Blake, Emily, Chithenga, Sithembile, Haque, Mefruz, Denson, Anitra, Zell, Renee, Steppe, Jennifer, Mangla, Anil, Iyengar, Preetha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614893/
http://dx.doi.org/10.1017/ash.2022.184
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author Solar, Sophie
Blake, Emily
Chithenga, Sithembile
Haque, Mefruz
Denson, Anitra
Zell, Renee
Steppe, Jennifer
Mangla, Anil
Iyengar, Preetha
author_facet Solar, Sophie
Blake, Emily
Chithenga, Sithembile
Haque, Mefruz
Denson, Anitra
Zell, Renee
Steppe, Jennifer
Mangla, Anil
Iyengar, Preetha
author_sort Solar, Sophie
collection PubMed
description Background: At the start of the COVID-19 pandemic, the DC Department of Health (DC Health) mandated new case reporting for early outbreak detection: (1) weekly healthcare personnel (HCP) absenteeism line lists indicating staff absent for confirmed or suspected SARS-CoV-2, (2) daily line lists of all SARS-CoV-2–positive inpatients, and (3) hospital contact tracing. Between March 27, 2020, and December 31, 2020, DC Health detected 36 confirmed and 14 suspected hospital outbreaks, of which only 18% (8 confirmed and 1 suspect) were known to the affected hospital. DC Health learned which outbreaks warranted early or aggressive intervention by tracking outbreak characteristics across its jurisdiction. This allowed prioritization of during surges when it was difficult for DC Health and hospital staff to investigate every outbreak. Methods: Potential outbreaks in short-stay and inpatient rehabilitation hospitals were flagged after identifying SARS-CoV-2 hospital-onset (HO) inpatients or staff clusters on line lists. Variables of interest in line lists included specimen collection and hospital admission dates, units or departments, and patient contact. Facility contact tracing by infection preventionists further verified epidemiological links among cases. Outbreak details were systematically tracked in a locally developed REDCap database and were analyzed if they had an initial case, outbreak start date, or an investigation start date in 2020. Frequency procedures, SQL statements, and date calculations were computed using SAS Enterprise Guide version 8.3 software. Results: Confirmed outbreaks had an average of 6.92 (range, 0–32) HCP and 2.58 (range, 0–22) patient cases, with 69% being confirmed-HO cases and 31% probable HO. Moreover, 53% of confirmed outbreaks occurred in the following departments: cardiac, behavioral health, intensive care, and environmental services (EVS)/facilities. All of these departments had recurrent outbreaks. Behavioral health, medical and cardiac units had the highest number of patient cases. On average, confirmed outbreak investigations lasted 24.6 days, with outbreaks prolonged in the ICU (40.25 days) and the medical unit (37.67 days). Top triggers for investigations ultimately classified as confirmed outbreaks were (1) positive symptomatic HCP, (2) confirmed-HO cases, and (3) exposures from positive HCP. Conclusions: The dynamic nature of COVID-19 created challenges in detecting and responding to hospital outbreaks. Developing a low-resource outbreak tracking system helped identify outbreak types and triggers that warranted early or aggressive interventions. Understanding the characteristics of hospital outbreaks was critical for maximizing infection control resources during surges of infectious disease outbreaks, such as COVID-19. Hospitals or local health departments could adapt this system to meet their needs. Funding: None Disclosures: None
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spelling pubmed-96148932022-10-29 Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks Solar, Sophie Blake, Emily Chithenga, Sithembile Haque, Mefruz Denson, Anitra Zell, Renee Steppe, Jennifer Mangla, Anil Iyengar, Preetha Antimicrob Steward Healthc Epidemiol Surveillance/Public Health Background: At the start of the COVID-19 pandemic, the DC Department of Health (DC Health) mandated new case reporting for early outbreak detection: (1) weekly healthcare personnel (HCP) absenteeism line lists indicating staff absent for confirmed or suspected SARS-CoV-2, (2) daily line lists of all SARS-CoV-2–positive inpatients, and (3) hospital contact tracing. Between March 27, 2020, and December 31, 2020, DC Health detected 36 confirmed and 14 suspected hospital outbreaks, of which only 18% (8 confirmed and 1 suspect) were known to the affected hospital. DC Health learned which outbreaks warranted early or aggressive intervention by tracking outbreak characteristics across its jurisdiction. This allowed prioritization of during surges when it was difficult for DC Health and hospital staff to investigate every outbreak. Methods: Potential outbreaks in short-stay and inpatient rehabilitation hospitals were flagged after identifying SARS-CoV-2 hospital-onset (HO) inpatients or staff clusters on line lists. Variables of interest in line lists included specimen collection and hospital admission dates, units or departments, and patient contact. Facility contact tracing by infection preventionists further verified epidemiological links among cases. Outbreak details were systematically tracked in a locally developed REDCap database and were analyzed if they had an initial case, outbreak start date, or an investigation start date in 2020. Frequency procedures, SQL statements, and date calculations were computed using SAS Enterprise Guide version 8.3 software. Results: Confirmed outbreaks had an average of 6.92 (range, 0–32) HCP and 2.58 (range, 0–22) patient cases, with 69% being confirmed-HO cases and 31% probable HO. Moreover, 53% of confirmed outbreaks occurred in the following departments: cardiac, behavioral health, intensive care, and environmental services (EVS)/facilities. All of these departments had recurrent outbreaks. Behavioral health, medical and cardiac units had the highest number of patient cases. On average, confirmed outbreak investigations lasted 24.6 days, with outbreaks prolonged in the ICU (40.25 days) and the medical unit (37.67 days). Top triggers for investigations ultimately classified as confirmed outbreaks were (1) positive symptomatic HCP, (2) confirmed-HO cases, and (3) exposures from positive HCP. Conclusions: The dynamic nature of COVID-19 created challenges in detecting and responding to hospital outbreaks. Developing a low-resource outbreak tracking system helped identify outbreak types and triggers that warranted early or aggressive interventions. Understanding the characteristics of hospital outbreaks was critical for maximizing infection control resources during surges of infectious disease outbreaks, such as COVID-19. Hospitals or local health departments could adapt this system to meet their needs. Funding: None Disclosures: None Cambridge University Press 2022-05-16 /pmc/articles/PMC9614893/ http://dx.doi.org/10.1017/ash.2022.184 Text en © The Society for Healthcare Epidemiology of America 2022 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Surveillance/Public Health
Solar, Sophie
Blake, Emily
Chithenga, Sithembile
Haque, Mefruz
Denson, Anitra
Zell, Renee
Steppe, Jennifer
Mangla, Anil
Iyengar, Preetha
Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks
title Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks
title_full Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks
title_fullStr Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks
title_full_unstemmed Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks
title_short Lessons learned: Characteristics of first-year COVID-19 hospital outbreaks
title_sort lessons learned: characteristics of first-year covid-19 hospital outbreaks
topic Surveillance/Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9614893/
http://dx.doi.org/10.1017/ash.2022.184
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