{"created":"2022-02-28T04:30:19.119791+00:00","id":2002117,"links":{},"metadata":{"_buckets":{"deposit":"7bb9260a-119b-4039-ba3b-ac8854c0f787"},"_deposit":{"created_by":17,"id":"2002117","owners":[17],"pid":{"revision_id":0,"type":"depid","value":"2002117"},"status":"published"},"_oai":{"id":"oai:nagoya.repo.nii.ac.jp:02002117","sets":["499:508:509:1646019880489"]},"author_link":[],"item_1615768549627":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_9_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-02","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"59","bibliographicPageStart":"42","bibliographicVolumeNumber":"84","bibliographic_titles":[{"bibliographic_title":"Nagoya Journal of Medical Science","bibliographic_titleLang":"en"}]}]},"item_9_description_4":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_9_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.18999/nagjms.84.1.42","subitem_identifier_reg_type":"JaLC"}]},"item_9_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Nagoya University Graduate School of Medicine, School of Medicine","subitem_publisher_language":"en"}]},"item_9_relation_43":{"attribute_name":"関連情報","attribute_value_mlt":[{"subitem_relation_type":"isVersionOf","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://www.med.nagoya-u.ac.jp/medlib/nagoya_j_med_sci/841.html","subitem_relation_type_select":"URI"}}]},"item_9_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International","subitem_rights_language":"en","subitem_rights_resource":"http://creativecommons.org/licenses/by-nc-nd/4.0/"}]},"item_9_source_id_7":{"attribute_name":"収録物識別子","attribute_value_mlt":[{"subitem_source_identifier":"0027-7622","subitem_source_identifier_type":"PISSN"},{"subitem_source_identifier":"2186-3326","subitem_source_identifier_type":"EISSN"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Ogasawara, Masahiko","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Uematsu, Haruhiro","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Hayashi, Kuniyoshi","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"Osugi, Yasuhiro","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2022-02-28"}],"displaytype":"detail","filename":"05_Ogasawara.pdf","filesize":[{"value":"3 MB"}],"format":"application/pdf","licensetype":"license_5","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://nagoya.repo.nii.ac.jp/record/2002117/files/05_Ogasawara.pdf"},"version_id":"5733e19f-98a4-4095-ad0d-4b029bf77faf"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"COVID-19","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"healthcare worker","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"anxiety","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"text mining analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"online lecture","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Developing online lectures using text mining reduces health workers’ anxiety in non-epicenter areas of COVID-19","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Developing online lectures using text mining reduces health workers’ anxiety in non-epicenter areas of COVID-19","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"17","path":["1646019880489"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2022-02-28"},"publish_date":"2022-02-28","publish_status":"0","recid":"2002117","relation_version_is_last":true,"title":["Developing online lectures using text mining reduces health workers’ anxiety in non-epicenter areas of COVID-19"],"weko_creator_id":"17","weko_shared_id":-1},"updated":"2023-11-16T01:57:08.289284+00:00"}