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Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021

OBJECTIVES: We evaluated 2 innovative approaches that supported COVID-19 case investigation and contact tracing (CI/CT) in Chicago communities: (1) early engagement of people diagnosed with COVID-19 by leveraging the existing Healthcare Alert Network to send automated telephone calls and text messag...

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Autores principales: Kern, David, Tabidze, Irina, Modali, Laxmi, Stonehouse, Patrick, Karamustafa, Ayla
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623407/
https://www.ncbi.nlm.nih.gov/pubmed/36314690
http://dx.doi.org/10.1177/00333549221131372
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author Kern, David
Tabidze, Irina
Modali, Laxmi
Stonehouse, Patrick
Karamustafa, Ayla
author_facet Kern, David
Tabidze, Irina
Modali, Laxmi
Stonehouse, Patrick
Karamustafa, Ayla
author_sort Kern, David
collection PubMed
description OBJECTIVES: We evaluated 2 innovative approaches that supported COVID-19 case investigation and contact tracing (CI/CT) in Chicago communities: (1) early engagement of people diagnosed with COVID-19 by leveraging the existing Healthcare Alert Network to send automated telephone calls and text messages and (2) establishment of a network of on-site case investigators and contact tracers within partner health care facilities (HCFs) and community-based organizations (CBOs). METHODS: The Chicago Department of Public Health used Healthcare Alert Network data to calculate the proportion of people with confirmed COVID-19 who successfully received an automated telephone call or text message during December 27, 2020–April 24, 2021. The department also used CI/CT data to calculate the proportion of cases successfully interviewed and named contacts successfully notified, as well as the time to successful case interview and to successful contact notification. RESULTS: Of 67 882 people with COVID-19, 94.3% (n = 64 011) received an automated telephone call and 91.7% (n = 62 239) received a text message. Of the 65 470 COVID-19 cases pulled from CI/CT data, 24 450 (37.3%) interviews were completed, including 6212 (61.3%) of the 10 126 cases diagnosed in HCFs. The median time from testing to successful case interview was 3 days for Chicago Department of Public Health investigators and 4 days for HCF investigators. Overall, 34 083 contacts were named; 13 117 (38.5%) were successfully notified, including 9068 (36.6%) of the 24 761 contacts assigned to CBOs. The median time from contact elicitation to completed notification by CBOs was <24 hours. CONCLUSIONS: Partnerships with HCFs and CBOs helped deliver timely CI/CT during the COVID-19 pandemic, suggesting a potential benefit of engaging non–public health institutions in CI/CT for existing and emerging diseases.
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spelling pubmed-96234072022-11-01 Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021 Kern, David Tabidze, Irina Modali, Laxmi Stonehouse, Patrick Karamustafa, Ayla Public Health Rep Frontline Innovations OBJECTIVES: We evaluated 2 innovative approaches that supported COVID-19 case investigation and contact tracing (CI/CT) in Chicago communities: (1) early engagement of people diagnosed with COVID-19 by leveraging the existing Healthcare Alert Network to send automated telephone calls and text messages and (2) establishment of a network of on-site case investigators and contact tracers within partner health care facilities (HCFs) and community-based organizations (CBOs). METHODS: The Chicago Department of Public Health used Healthcare Alert Network data to calculate the proportion of people with confirmed COVID-19 who successfully received an automated telephone call or text message during December 27, 2020–April 24, 2021. The department also used CI/CT data to calculate the proportion of cases successfully interviewed and named contacts successfully notified, as well as the time to successful case interview and to successful contact notification. RESULTS: Of 67 882 people with COVID-19, 94.3% (n = 64 011) received an automated telephone call and 91.7% (n = 62 239) received a text message. Of the 65 470 COVID-19 cases pulled from CI/CT data, 24 450 (37.3%) interviews were completed, including 6212 (61.3%) of the 10 126 cases diagnosed in HCFs. The median time from testing to successful case interview was 3 days for Chicago Department of Public Health investigators and 4 days for HCF investigators. Overall, 34 083 contacts were named; 13 117 (38.5%) were successfully notified, including 9068 (36.6%) of the 24 761 contacts assigned to CBOs. The median time from contact elicitation to completed notification by CBOs was <24 hours. CONCLUSIONS: Partnerships with HCFs and CBOs helped deliver timely CI/CT during the COVID-19 pandemic, suggesting a potential benefit of engaging non–public health institutions in CI/CT for existing and emerging diseases. SAGE Publications 2022-10-31 /pmc/articles/PMC9623407/ /pubmed/36314690 http://dx.doi.org/10.1177/00333549221131372 Text en © 2022, Association of Schools and Programs of Public Health
spellingShingle Frontline Innovations
Kern, David
Tabidze, Irina
Modali, Laxmi
Stonehouse, Patrick
Karamustafa, Ayla
Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021
title Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021
title_full Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021
title_fullStr Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021
title_full_unstemmed Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021
title_short Unified Response to COVID-19 Case Investigation and Contact Tracing, Chicago, December 2020–April 2021
title_sort unified response to covid-19 case investigation and contact tracing, chicago, december 2020–april 2021
topic Frontline Innovations
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9623407/
https://www.ncbi.nlm.nih.gov/pubmed/36314690
http://dx.doi.org/10.1177/00333549221131372
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