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Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis
BACKGROUND: In 2020, at the onset of the COVID-19 pandemic, the United States experienced surges in healthcare needs, which challenged capacity throughout the healthcare system. Stay-at-home orders in many jurisdictions, cancellation of elective procedures, and closures of outpatient medical offices...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039408/ https://www.ncbi.nlm.nih.gov/pubmed/36745776 http://dx.doi.org/10.2196/39054 |
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author | Shah, Ami B Oyegun, Eghosa Hampton, William Brett Neri, Antonio Maddox, Nicole Raso, Danielle Sandhu, Paramjit Patel, Anita Koonin, Lisa M Lee, Leslie Roper, Lauren Whitfield, Geoffrey Siegel, David A Koumans, Emily H |
author_facet | Shah, Ami B Oyegun, Eghosa Hampton, William Brett Neri, Antonio Maddox, Nicole Raso, Danielle Sandhu, Paramjit Patel, Anita Koonin, Lisa M Lee, Leslie Roper, Lauren Whitfield, Geoffrey Siegel, David A Koumans, Emily H |
author_sort | Shah, Ami B |
collection | PubMed |
description | BACKGROUND: In 2020, at the onset of the COVID-19 pandemic, the United States experienced surges in healthcare needs, which challenged capacity throughout the healthcare system. Stay-at-home orders in many jurisdictions, cancellation of elective procedures, and closures of outpatient medical offices disrupted patient access to care. To inform symptomatic persons about when to seek care and potentially help alleviate the burden on the healthcare system, Centers for Disease Control and Prevention (CDC) and partners developed the CDC Coronavirus Self-Checker (“Self-Checker”). This interactive tool assists individuals seeking information about COVID-19 to determine the appropriate level of care by asking demographic, clinical, and nonclinical questions during an online “conversation.” OBJECTIVE: This paper describes user characteristics, trends in use, and recommendations delivered by the Self-Checker between March 23, 2020, and April 19, 2021, for pursuing appropriate levels of medical care depending on the severity of user symptoms. METHODS: User characteristics and trends in completed conversations that resulted in a care message were analyzed. Care messages delivered by the Self-Checker were manually classified into three overarching conversation themes: (1) seek care immediately; (2) take no action, or stay home and self-monitor; and (3) conversation redirected. Trends in 7-day averages of conversations and COVID-19 cases were examined with development and marketing milestones that potentially impacted Self-Checker user engagement. RESULTS: Among 16,718,667 completed conversations, the Self-Checker delivered recommendations for 69.27% (n=11,580,738) of all conversations to “take no action, or stay home and self-monitor”; 28.8% (n=4,822,138) of conversations to “seek care immediately”; and 1.89% (n=315,791) of conversations were redirected to other resources without providing any care advice. Among 6.8 million conversations initiated for self-reported sick individuals without life-threatening symptoms, 59.21% resulted in a recommendation to “take no action, or stay home and self-monitor.” Nearly all individuals (99.8%) who were not sick were also advised to “take no action, or stay home and self-monitor.” CONCLUSIONS: The majority of Self-Checker conversations resulted in advice to take no action, or stay home and self-monitor. This guidance may have reduced patient volume on the medical system; however, future studies evaluating patients’ satisfaction, intention to follow the care advice received, course of action, and care modality pursued could clarify the impact of the Self-Checker and similar tools during future public health emergencies. |
format | Online Article Text |
id | pubmed-10039408 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-100394082023-03-26 Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis Shah, Ami B Oyegun, Eghosa Hampton, William Brett Neri, Antonio Maddox, Nicole Raso, Danielle Sandhu, Paramjit Patel, Anita Koonin, Lisa M Lee, Leslie Roper, Lauren Whitfield, Geoffrey Siegel, David A Koumans, Emily H J Med Internet Res Original Paper BACKGROUND: In 2020, at the onset of the COVID-19 pandemic, the United States experienced surges in healthcare needs, which challenged capacity throughout the healthcare system. Stay-at-home orders in many jurisdictions, cancellation of elective procedures, and closures of outpatient medical offices disrupted patient access to care. To inform symptomatic persons about when to seek care and potentially help alleviate the burden on the healthcare system, Centers for Disease Control and Prevention (CDC) and partners developed the CDC Coronavirus Self-Checker (“Self-Checker”). This interactive tool assists individuals seeking information about COVID-19 to determine the appropriate level of care by asking demographic, clinical, and nonclinical questions during an online “conversation.” OBJECTIVE: This paper describes user characteristics, trends in use, and recommendations delivered by the Self-Checker between March 23, 2020, and April 19, 2021, for pursuing appropriate levels of medical care depending on the severity of user symptoms. METHODS: User characteristics and trends in completed conversations that resulted in a care message were analyzed. Care messages delivered by the Self-Checker were manually classified into three overarching conversation themes: (1) seek care immediately; (2) take no action, or stay home and self-monitor; and (3) conversation redirected. Trends in 7-day averages of conversations and COVID-19 cases were examined with development and marketing milestones that potentially impacted Self-Checker user engagement. RESULTS: Among 16,718,667 completed conversations, the Self-Checker delivered recommendations for 69.27% (n=11,580,738) of all conversations to “take no action, or stay home and self-monitor”; 28.8% (n=4,822,138) of conversations to “seek care immediately”; and 1.89% (n=315,791) of conversations were redirected to other resources without providing any care advice. Among 6.8 million conversations initiated for self-reported sick individuals without life-threatening symptoms, 59.21% resulted in a recommendation to “take no action, or stay home and self-monitor.” Nearly all individuals (99.8%) who were not sick were also advised to “take no action, or stay home and self-monitor.” CONCLUSIONS: The majority of Self-Checker conversations resulted in advice to take no action, or stay home and self-monitor. This guidance may have reduced patient volume on the medical system; however, future studies evaluating patients’ satisfaction, intention to follow the care advice received, course of action, and care modality pursued could clarify the impact of the Self-Checker and similar tools during future public health emergencies. JMIR Publications 2023-03-10 /pmc/articles/PMC10039408/ /pubmed/36745776 http://dx.doi.org/10.2196/39054 Text en ©Ami B Shah, Eghosa Oyegun, William Brett Hampton, Antonio Neri, Nicole Maddox, Danielle Raso, Paramjit Sandhu, Anita Patel, Lisa M Koonin, Leslie Lee, Lauren Roper, Geoffrey Whitfield, David A Siegel, Emily H Koumans. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 10.03.2023. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Shah, Ami B Oyegun, Eghosa Hampton, William Brett Neri, Antonio Maddox, Nicole Raso, Danielle Sandhu, Paramjit Patel, Anita Koonin, Lisa M Lee, Leslie Roper, Lauren Whitfield, Geoffrey Siegel, David A Koumans, Emily H Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis |
title | Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis |
title_full | Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis |
title_fullStr | Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis |
title_full_unstemmed | Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis |
title_short | Engagement With the Centers for Disease Control and Prevention Coronavirus Self-Checker and Guidance Provided to Users in the United States From March 23, 2020, to April 19, 2021: Thematic and Trend Analysis |
title_sort | engagement with the centers for disease control and prevention coronavirus self-checker and guidance provided to users in the united states from march 23, 2020, to april 19, 2021: thematic and trend analysis |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10039408/ https://www.ncbi.nlm.nih.gov/pubmed/36745776 http://dx.doi.org/10.2196/39054 |
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