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Extending a Lifeline to Nonhospitalized Patients With COVID-19 Through Automated Text Messaging

Faro, Jamie M
; 
Cutrona, Sarah L
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Authors
Faro, Jamie M
Cutrona, Sarah L
Student Authors
Faculty Advisor
Academic Program
UMass Chan Affiliations
Department of Population and Quantitative Health Sciences
Document Type
Editorial
Publication Date
2022-02-01
Keywords
COVID-19
 Health Services Research
 Infectious Disease
 Telemedicine
 Virus Diseases
Subject Area
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Population and Quantitative Health Sciences Publications
COVID-19 Publications by UMass Chan Authors
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Link to Full Text
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8593887/
Abstract

In their article, Delgado and colleagues reported observed outcomes of an automated, text message–based monitoring program with 24/7 clinical support, implemented to monitor nonhospitalized patients with COVID-19. The editorialists discuss the findings and note factors that contributed to the intervention's success.

Source

Faro JM, Cutrona SL. Extending a Lifeline to Nonhospitalized Patients With COVID-19 Through Automated Text Messaging. Ann Intern Med. 2022 Feb;175(2):291-292. doi: 10.7326/M21-4273. Epub 2021 Nov 16. PMID: 34781713; PMCID: PMC8593887. Link to article on publisher's site

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DOI
10.7326/M21-4273
Permanent Link to this Item
https://hdl.handle.net/20.500.14038/46985
PubMed ID
34781713
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