| Item type |
itemtype_ver1(1) |
| 公開日 |
2022-02-28 |
| タイトル |
|
|
タイトル |
Developing online lectures using text mining reduces health workers’ anxiety in non-epicenter areas of COVID-19 |
|
言語 |
en |
| 著者 |
Ogasawara, Masahiko
Uematsu, Haruhiro
Hayashi, Kuniyoshi
Osugi, Yasuhiro
|
| アクセス権 |
|
|
アクセス権 |
open access |
|
アクセス権URI |
http://purl.org/coar/access_right/c_abf2 |
| 権利 |
|
|
言語 |
en |
|
権利情報Resource |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
|
権利情報 |
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
COVID-19 |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
healthcare worker |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
anxiety |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
text mining analysis |
| キーワード |
|
|
言語 |
en |
|
主題Scheme |
Other |
|
主題 |
online lecture |
| 内容記述 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
COVID-19 is indirectly associated with various mental disorders such as anxiety, insomnia, and depression, and healthcare professionals who treat COVID-19 patients are particularly prone to severe anxiety. However, neither the anxiety of healthcare workers in non-epicenter areas nor the effects of knowledge support have been examined thus far. Participants were 458 staff working at the Toyota Regional Medical Center who completed a preliminary questionnaire of their knowledge and anxiety regarding COVID-19. Based on text mining of the questionnaire responses, participants were offered an online lecture. The effect of the lecture was analyzed using a pre- and post-lecture rating of anxiety and knowledge confidence, and quantitative text mining. The response rates were 45.6% pre- and 62.9% post-lecture. Open-ended responses regarding anxiety and knowledge were classified into seven clusters using a co-occurrence network. Before the lecture, 28.2%, 27.2%, and 20.3% of participants were interested in and anxious about “infection prevention and our hospital’s response,” “infection and impact on myself, family, and neighbors,” and “general knowledge of COVID-19,” respectively. As a result of the lecture, Likert-scale ratings for anxiety of COVID-19 decreased significantly and knowledge confidence increased significantly. These changes were confirmed by analyses of open-ended responses about anxiety, lifestyle changes, and knowledge. Positive changes were strongly linked to the topics focused on in the lecture, especially infection prevention. The anxieties about COVID-19 of healthcare workers in non-epicenter areas can be effectively reduced through questionnaire surveys and online lectures using text mining. |
|
言語 |
en |
| 出版者 |
|
|
出版者 |
Nagoya University Graduate School of Medicine, School of Medicine |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| 資源タイプ |
|
|
資源タイプresource |
http://purl.org/coar/resource_type/c_6501 |
|
タイプ |
departmental bulletin paper |
| 出版タイプ |
|
|
出版タイプ |
VoR |
|
出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| ID登録 |
|
|
ID登録 |
10.18999/nagjms.84.1.42 |
|
ID登録タイプ |
JaLC |
| 関連情報 |
|
|
関連タイプ |
isVersionOf |
|
|
識別子タイプ |
URI |
|
|
関連識別子 |
https://www.med.nagoya-u.ac.jp/medlib/nagoya_j_med_sci/841.html |
| 収録物識別子 |
|
|
収録物識別子タイプ |
PISSN |
|
収録物識別子 |
0027-7622 |
| 収録物識別子 |
|
|
収録物識別子タイプ |
EISSN |
|
収録物識別子 |
2186-3326 |
| 書誌情報 |
en : Nagoya Journal of Medical Science
巻 84,
号 1,
p. 42-59,
発行日 2022-02
|
05_Ogasawara.pdf (3 MB)
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