{"_buckets": {"deposit": "7bb9260a-119b-4039-ba3b-ac8854c0f787"}, "_deposit": {"id": "2002117", "owners": [1], "pid": {"revision_id": 0, "type": "depid", "value": "2002117"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:02002117", "sets": []}, "author_link": [], "control_number": "2002117", "item_1615768549627": {"attribute_name": "\u51fa\u7248\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_9_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "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": "\u5185\u5bb9\u8a18\u8ff0", "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 \u201cinfection prevention and our hospital\u2019s response,\u201d \u201cinfection and impact on myself, family, and neighbors,\u201d and \u201cgeneral knowledge of COVID-19,\u201d 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"}, {"subitem_description": "This is an Open Access article distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. To view the details of this license, please visit (http://creativecommons.org/licenses/by-nc-nd/4.0/).", "subitem_description_language": "en", "subitem_description_type": "Other"}]}, "item_9_identifier_registration": {"attribute_name": "ID\u767b\u9332", "attribute_value_mlt": [{"subitem_identifier_reg_text": "10.18999/nagjms.84.1.42", "subitem_identifier_reg_type": "JaLC"}]}, "item_9_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "Nagoya University Graduate School of Medicine, School of Medicine", "subitem_publisher_language": "en"}]}, "item_9_relation_43": {"attribute_name": "\u95a2\u9023\u60c5\u5831", "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_source_id_7": {"attribute_name": "\u53ce\u9332\u7269\u8b58\u5225\u5b50", "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": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "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": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-02-28"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "05_Ogasawara.pdf", "filesize": [{"value": "3 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 3000000.0, "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": "\u30ad\u30fc\u30ef\u30fc\u30c9", "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": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "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\u2019 anxiety in non-epicenter areas of COVID-19", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Developing online lectures using text mining reduces health workers\u2019 anxiety in non-epicenter areas of COVID-19", "subitem_title_language": "en"}]}, "item_type_id": "40001", "owner": "1", "path": ["499/508/509/1646019880489"], "permalink_uri": "https://doi.org/10.18999/nagjms.84.1.42", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2022-02-28"}, "publish_date": "2022-02-28", "publish_status": "0", "recid": "2002117", "relation": {}, "relation_version_is_last": true, "title": ["Developing online lectures using text mining reduces health workers\u2019 anxiety in non-epicenter areas of COVID-19"], "weko_shared_id": -1}