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UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC

Palliative care is a growing medical specialty. While its value has become particularly evident during the pandemic, it faces various challenges including misconceptions among the general public, a lack of awareness of its benefits, and limited/sporadic access and coverage by Medicare. Given the inc...

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Autores principales: Inoue, Megumi, Hashemi, Mahdi, Li, Meng-Hao, Kulkarni, Rajendra, Koizumi, Naoru
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765882/
http://dx.doi.org/10.1093/geroni/igac059.759
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author Inoue, Megumi
Hashemi, Mahdi
Li, Meng-Hao
Kulkarni, Rajendra
Koizumi, Naoru
author_facet Inoue, Megumi
Hashemi, Mahdi
Li, Meng-Hao
Kulkarni, Rajendra
Koizumi, Naoru
author_sort Inoue, Megumi
collection PubMed
description Palliative care is a growing medical specialty. While its value has become particularly evident during the pandemic, it faces various challenges including misconceptions among the general public, a lack of awareness of its benefits, and limited/sporadic access and coverage by Medicare. Given the increasing number of people sharing their health information and seeking healthcare information on social media where misinformation is widely spread, this study examined types of information on palliative care circulated on Twitter. A total of 26,495 English Tweets were collected 01/01/2020 – 12/30/2021 using the keywords “Palliative” and “Covid” or “Corona”. We manually developed a framework for coding/classifying the first 6,000 Tweets. Of those, 5,308 were unrelated Tweets (e.g., advertising palliative care seminars/conferences). Among the remaining Tweets, persistent myths were observed (e.g., palliative care is only for dying people) and were labeled accordingly. In addition, while some people mentioned negative impact of the pandemic on palliative care (e.g., shortage of beds), others found value in palliative care and reported positive changes due to the pandemic (e.g., telehealth in palliative care). Consequently, the following categories were defined for Tweets: i) Recognized benefits (203 Tweets); ii) Positive impact of the pandemic on palliative care (120 Tweets); iii) Negative impact of the pandemic on palliative care (333 Tweets); iv) Myth (63 Tweets). We will use these manually classified Tweets to train machine-learning algorithms to automatically classify the remaining tweets, aiming to obtain a comprehensive understanding of palliative care information circulating on Twitter and seek ways to promote palliative care use.
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spelling pubmed-97658822022-12-20 UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC Inoue, Megumi Hashemi, Mahdi Li, Meng-Hao Kulkarni, Rajendra Koizumi, Naoru Innov Aging Abstracts Palliative care is a growing medical specialty. While its value has become particularly evident during the pandemic, it faces various challenges including misconceptions among the general public, a lack of awareness of its benefits, and limited/sporadic access and coverage by Medicare. Given the increasing number of people sharing their health information and seeking healthcare information on social media where misinformation is widely spread, this study examined types of information on palliative care circulated on Twitter. A total of 26,495 English Tweets were collected 01/01/2020 – 12/30/2021 using the keywords “Palliative” and “Covid” or “Corona”. We manually developed a framework for coding/classifying the first 6,000 Tweets. Of those, 5,308 were unrelated Tweets (e.g., advertising palliative care seminars/conferences). Among the remaining Tweets, persistent myths were observed (e.g., palliative care is only for dying people) and were labeled accordingly. In addition, while some people mentioned negative impact of the pandemic on palliative care (e.g., shortage of beds), others found value in palliative care and reported positive changes due to the pandemic (e.g., telehealth in palliative care). Consequently, the following categories were defined for Tweets: i) Recognized benefits (203 Tweets); ii) Positive impact of the pandemic on palliative care (120 Tweets); iii) Negative impact of the pandemic on palliative care (333 Tweets); iv) Myth (63 Tweets). We will use these manually classified Tweets to train machine-learning algorithms to automatically classify the remaining tweets, aiming to obtain a comprehensive understanding of palliative care information circulating on Twitter and seek ways to promote palliative care use. Oxford University Press 2022-12-20 /pmc/articles/PMC9765882/ http://dx.doi.org/10.1093/geroni/igac059.759 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of The Gerontological Society of America. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Inoue, Megumi
Hashemi, Mahdi
Li, Meng-Hao
Kulkarni, Rajendra
Koizumi, Naoru
UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC
title UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC
title_full UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC
title_fullStr UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC
title_full_unstemmed UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC
title_short UNDERSTANDING THE PALLIATIVE CARE INFORMATION CIRCULATING ON TWITTER DURING THE CORONAVIRUS PANDEMIC
title_sort understanding the palliative care information circulating on twitter during the coronavirus pandemic
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9765882/
http://dx.doi.org/10.1093/geroni/igac059.759
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