Cancer in Lockdown: Impact of the COVID-19 Pandemic on Patients with Cancer.
Identifieur interne : 002294 ( Main/Exploration ); précédent : 002293; suivant : 002295Cancer in Lockdown: Impact of the COVID-19 Pandemic on Patients with Cancer.
Auteurs : Harsha Moraliyage [Australie] ; Daswin De Silva [Australie] ; Weranja Ranasinghe [Australie, États-Unis] ; Achini Adikari [Australie] ; Damminda Alahakoon [Australie] ; Raj Prasad [Royaume-Uni] ; Nathan Lawrentschuk [Australie] ; Damien Bolton [Australie]Source :
- The oncologist [ 1549-490X ] ; 2020.
Abstract
The lockdown measures of the ongoing COVID-19 pandemic have disengaged patients with cancer from formal health care settings, leading to an increased use of social media platforms to address unmet needs and expectations. Although remote health technologies have addressed some of the medical needs, the emotional and mental well-being of these patients remain underexplored and underreported. We used a validated artificial intelligence framework to conduct a comprehensive real-time analysis of two data sets of 2,469,822 tweets and 21,800 discussions by patients with cancer during this pandemic. Lung and breast cancer are most prominently discussed, and the most concerns were expressed regarding delayed diagnosis, cancellations, missed treatments, and weakened immunity. All patients expressed significant negative sentiment, with fear being the predominant emotion. Even as some lockdown measures ease, it is crucial that patients with cancer are engaged using social media platforms for real-time identification of issues and the provision of informational and emotional support.
DOI: 10.1002/onco.13604
PubMed: 33210442
PubMed Central: PMC7753606
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<front><div type="abstract" xml:lang="en">The lockdown measures of the ongoing COVID-19 pandemic have disengaged patients with cancer from formal health care settings, leading to an increased use of social media platforms to address unmet needs and expectations. Although remote health technologies have addressed some of the medical needs, the emotional and mental well-being of these patients remain underexplored and underreported. We used a validated artificial intelligence framework to conduct a comprehensive real-time analysis of two data sets of 2,469,822 tweets and 21,800 discussions by patients with cancer during this pandemic. Lung and breast cancer are most prominently discussed, and the most concerns were expressed regarding delayed diagnosis, cancellations, missed treatments, and weakened immunity. All patients expressed significant negative sentiment, with fear being the predominant emotion. Even as some lockdown measures ease, it is crucial that patients with cancer are engaged using social media platforms for real-time identification of issues and the provision of informational and emotional support.</div>
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<Abstract><AbstractText>The lockdown measures of the ongoing COVID-19 pandemic have disengaged patients with cancer from formal health care settings, leading to an increased use of social media platforms to address unmet needs and expectations. Although remote health technologies have addressed some of the medical needs, the emotional and mental well-being of these patients remain underexplored and underreported. We used a validated artificial intelligence framework to conduct a comprehensive real-time analysis of two data sets of 2,469,822 tweets and 21,800 discussions by patients with cancer during this pandemic. Lung and breast cancer are most prominently discussed, and the most concerns were expressed regarding delayed diagnosis, cancellations, missed treatments, and weakened immunity. All patients expressed significant negative sentiment, with fear being the predominant emotion. Even as some lockdown measures ease, it is crucial that patients with cancer are engaged using social media platforms for real-time identification of issues and the provision of informational and emotional support.</AbstractText>
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<country name="Royaume-Uni"><noRegion><name sortKey="Prasad, Raj" sort="Prasad, Raj" uniqKey="Prasad R" first="Raj" last="Prasad">Raj Prasad</name>
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</tree>
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