Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Einstein (São Paulo) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100287 |
Resumo: | ABSTRACT Objective: To characterize variables associated with referral to the emergency department following Telemedicine consultation during the COVID-19 pandemic. Methods: Cross-sectional retrospective study conducted between March and May 2020, with a sample of 500 adult patients. The inclusion criterion was the manifestation of respiratory symptoms, regardless of type. Results: The mean age of patients was 34.7±10.5 years, and 59% were women. Most patients (62.6%) perceived their own health status as malaise and some (41.4%) self-diagnosed COVID-19. Cough (74.4%), rhinorrhea (65.6%), sore throat (38.6%) and sneezing (20.6%) were the most common infection-related symptoms. Overall, 29.4% and 16% of patients reported dyspnea and chest pain, respectively. The Roth score was calculated for a sizeable number of patients (67.6%) and was normal, moderately altered or severely altered in 83.5%, 10.7% and 5.6% of patients, respectively. The percentage of suspected COVID-19 cases was 67.6%. Of these, 75% were managed remotely and only one quarter referred for emergency assessment. Conclusion: Telemedicine assessment is associated with reclassification of patient's subjective impression, better inspection of coronavirus disease 2019 and identification of risk patients. Referral is therefore optimized to avoid inappropriate in-person assessment, and low-risk patients can be properly guided. Telemedicine should be implemented in the health care system as a cost-effective strategy for initial assessment of acute patients. |
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Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referralTelemedicineCoronavirus infectionsCOVID-19Respiratory tract infectionsPandemicsReferral and consultationABSTRACT Objective: To characterize variables associated with referral to the emergency department following Telemedicine consultation during the COVID-19 pandemic. Methods: Cross-sectional retrospective study conducted between March and May 2020, with a sample of 500 adult patients. The inclusion criterion was the manifestation of respiratory symptoms, regardless of type. Results: The mean age of patients was 34.7±10.5 years, and 59% were women. Most patients (62.6%) perceived their own health status as malaise and some (41.4%) self-diagnosed COVID-19. Cough (74.4%), rhinorrhea (65.6%), sore throat (38.6%) and sneezing (20.6%) were the most common infection-related symptoms. Overall, 29.4% and 16% of patients reported dyspnea and chest pain, respectively. The Roth score was calculated for a sizeable number of patients (67.6%) and was normal, moderately altered or severely altered in 83.5%, 10.7% and 5.6% of patients, respectively. The percentage of suspected COVID-19 cases was 67.6%. Of these, 75% were managed remotely and only one quarter referred for emergency assessment. Conclusion: Telemedicine assessment is associated with reclassification of patient's subjective impression, better inspection of coronavirus disease 2019 and identification of risk patients. Referral is therefore optimized to avoid inappropriate in-person assessment, and low-risk patients can be properly guided. Telemedicine should be implemented in the health care system as a cost-effective strategy for initial assessment of acute patients.Instituto Israelita de Ensino e Pesquisa Albert Einstein2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100287einstein (São Paulo) v.18 2020reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.31744/einstein_journal/2020ao6106info:eu-repo/semantics/openAccessAccorsi,Tarso Augusto DuenhasAmicis,Karine DeBrígido,Alexandra Régia DantasBelfort,Deborah de Sá PereiraHabrum,Fábio CetinicScarpanti,Fernando GarciaMagalhães,Iuri ResedáSilva Filho,José Roberto de OliveiraSampaio,Leon Pablo CartaxoLira,Maria Tereza Sampaio de SousaMorbeck,Renata AlbaladejoPedrotti,Carlos Henrique SartoratoCordioli,Eduardoeng2020-12-03T00:00:00Zoai:scielo:S1679-45082020000100287Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2020-12-03T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false |
dc.title.none.fl_str_mv |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
title |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
spellingShingle |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral Accorsi,Tarso Augusto Duenhas Telemedicine Coronavirus infections COVID-19 Respiratory tract infections Pandemics Referral and consultation |
title_short |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
title_full |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
title_fullStr |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
title_full_unstemmed |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
title_sort |
Assessment of patients with acute respiratory symptoms during the COVID-19 pandemic by Telemedicine: clinical features and impact on referral |
author |
Accorsi,Tarso Augusto Duenhas |
author_facet |
Accorsi,Tarso Augusto Duenhas Amicis,Karine De Brígido,Alexandra Régia Dantas Belfort,Deborah de Sá Pereira Habrum,Fábio Cetinic Scarpanti,Fernando Garcia Magalhães,Iuri Resedá Silva Filho,José Roberto de Oliveira Sampaio,Leon Pablo Cartaxo Lira,Maria Tereza Sampaio de Sousa Morbeck,Renata Albaladejo Pedrotti,Carlos Henrique Sartorato Cordioli,Eduardo |
author_role |
author |
author2 |
Amicis,Karine De Brígido,Alexandra Régia Dantas Belfort,Deborah de Sá Pereira Habrum,Fábio Cetinic Scarpanti,Fernando Garcia Magalhães,Iuri Resedá Silva Filho,José Roberto de Oliveira Sampaio,Leon Pablo Cartaxo Lira,Maria Tereza Sampaio de Sousa Morbeck,Renata Albaladejo Pedrotti,Carlos Henrique Sartorato Cordioli,Eduardo |
author2_role |
author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Accorsi,Tarso Augusto Duenhas Amicis,Karine De Brígido,Alexandra Régia Dantas Belfort,Deborah de Sá Pereira Habrum,Fábio Cetinic Scarpanti,Fernando Garcia Magalhães,Iuri Resedá Silva Filho,José Roberto de Oliveira Sampaio,Leon Pablo Cartaxo Lira,Maria Tereza Sampaio de Sousa Morbeck,Renata Albaladejo Pedrotti,Carlos Henrique Sartorato Cordioli,Eduardo |
dc.subject.por.fl_str_mv |
Telemedicine Coronavirus infections COVID-19 Respiratory tract infections Pandemics Referral and consultation |
topic |
Telemedicine Coronavirus infections COVID-19 Respiratory tract infections Pandemics Referral and consultation |
description |
ABSTRACT Objective: To characterize variables associated with referral to the emergency department following Telemedicine consultation during the COVID-19 pandemic. Methods: Cross-sectional retrospective study conducted between March and May 2020, with a sample of 500 adult patients. The inclusion criterion was the manifestation of respiratory symptoms, regardless of type. Results: The mean age of patients was 34.7±10.5 years, and 59% were women. Most patients (62.6%) perceived their own health status as malaise and some (41.4%) self-diagnosed COVID-19. Cough (74.4%), rhinorrhea (65.6%), sore throat (38.6%) and sneezing (20.6%) were the most common infection-related symptoms. Overall, 29.4% and 16% of patients reported dyspnea and chest pain, respectively. The Roth score was calculated for a sizeable number of patients (67.6%) and was normal, moderately altered or severely altered in 83.5%, 10.7% and 5.6% of patients, respectively. The percentage of suspected COVID-19 cases was 67.6%. Of these, 75% were managed remotely and only one quarter referred for emergency assessment. Conclusion: Telemedicine assessment is associated with reclassification of patient's subjective impression, better inspection of coronavirus disease 2019 and identification of risk patients. Referral is therefore optimized to avoid inappropriate in-person assessment, and low-risk patients can be properly guided. Telemedicine should be implemented in the health care system as a cost-effective strategy for initial assessment of acute patients. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100287 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082020000100287 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.31744/einstein_journal/2020ao6106 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
publisher.none.fl_str_mv |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
dc.source.none.fl_str_mv |
einstein (São Paulo) v.18 2020 reponame:Einstein (São Paulo) instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) instacron:IIEPAE |
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Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) |
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IIEPAE |
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IIEPAE |
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Einstein (São Paulo) |
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Einstein (São Paulo) |
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Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE) |
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||revista@einstein.br |
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