{"created":"2023-05-15T09:18:01.476035+00:00","id":1177,"links":{},"metadata":{"_buckets":{"deposit":"cab0df29-dbf9-4b75-99f3-9c2cc94dea49"},"_deposit":{"created_by":15,"id":"1177","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"1177"},"status":"published"},"_oai":{"id":"oai:iuhw.repo.nii.ac.jp:00001177","sets":["2:154"]},"author_link":["2601","1669"],"control_number":"1177","item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-28","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicPageEnd":"42","bibliographicPageStart":"31","bibliographicVolumeNumber":"27","bibliographic_titles":[{"bibliographic_title":"国際医療福祉大学学会誌","bibliographic_titleLang":"ja"},{"bibliographic_title":"Journal of the International University of Health and Welfare","bibliographic_titleLang":"en"}]}]},"item_10001_description_6":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"目的：がん登録と DPC とを統合したデータセットを構築し，医療資源消費量の観点から肺がんの重症度と DPC診断群分類との関連性の分析を行うとともに，臨床の観点から肺がんの重症度と樹形図における要因項目の検証を行うことを目的とした．\n方法：対象施設は 3 施設である．1）肺がん手術を施行した患者の重症度と医療資源消費量の関連性を検証するため Kruskal-Wallis 検定を行った．2）肺がんの臨床病期を 2 群に分類しこれらに影響する DPC およびがん登録項目を抽出し二項ロジスティック回帰分析を行った．\n結果：1）肺がんの病理病期および病理学的進展度の分布が明らかとなった．2）肺がんの重症度には 6 項目が有意な関連を認めた．2 型糖尿病・糖尿病性合併症なしはオッズ比 8.946 であり，臨床病期 IIB 期以上との間に有意な関連が認められた．\n結論：がん登録および DPC データの統合により，入院日数と診療報酬点数における重症度の分布の傾向が明らかとなった．また肺がんの重症度に影響する要因項目が統計分析により示唆された．","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"Purpose: To establish a dataset integrating cancer registry and Diagnosis Procedure Combination (DPC) data. Using the dataset, to first analyze the relationship between lung cancer stage and the DPC classification from the standpoint of healthcare resource consumption: then, from the clinical standpoint, to verify lung cancer stage and factors using a tree diagram.\nMethods: The study was conducted at 3 institutions. 1) Kruskal-Wallis test was performed to verify the relationship between the stage of lung cancer and the healthcare resource consumption in patients who had undergone lung cancer surgery. 2) After classifying the clinical stages of lung cancer into two groups, DPC and cancer registry factors affecting the classification were extracted, and binary logistic regression analysis was performed.\nResults: 1) The distributions of pathological stages and pathological tumor extent in lung cancer were identified. 2) Six factors were found to be significantly related to the stage of lung cancer. Absence of type 2 diabetes and diabetic complications was found to be significantly related to clinical stages ≧IIB, with an odds ratio of 8.946.\nConclusion: By integrating the cancer registry and DPC data, a trend in the distribution of lung cancer stage was clarified based on the length (days) of hospital stay and medical fee points. In addition, factors affecting the stage of lung cancer were identified by statistical analysis．","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"国際医療福祉大学学会","subitem_publisher_language":"ja"}]},"item_10001_radio_20":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_radio_item":"publisher","subitem_radio_language":"ja"}]},"item_10001_source_id_11":{"attribute_name":"書誌レコードID（NCID）","attribute_value_mlt":[{"subitem_source_identifier":"AA12537130","subitem_source_identifier_type":"NCID"}]},"item_10001_source_id_9":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"21863652","subitem_source_identifier_type":"PISSN"}]},"item_1691121572803":{"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_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"久野, 昌子","creatorNameLang":"ja"},{"creatorName":"クノ, マサコ","creatorNameLang":"ja-Kana"},{"creatorName":"KUNO, Masako","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山本, 康弘","creatorNameLang":"ja"},{"creatorName":"ヤマモト, ヤスヒロ","creatorNameLang":"ja-Kana"},{"creatorName":"YAMAMOTO, Yasuhiro","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-04-15"}],"displaytype":"simple","filename":"27_1(31-42p).pdf","filesize":[{"value":"667.0 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"本文(PDF)","url":"https://iuhw.repo.nii.ac.jp/record/1177/files/27_1(31-42p).pdf"},"version_id":"c8a54c10-b141-47e4-8a03-7ae067ce2c2f"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"肺がん","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"UICC TNM 病期分類","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"進展度","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"DPC 診断群","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"医療資源消費量","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"ロジスティック回帰分析","subitem_subject_language":"ja","subitem_subject_scheme":"Other"},{"subitem_subject":"Lung cancer","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"UICC TNM staging system","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"tumor extent","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"DPC","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"healthcare resource consumption","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"logistic regression analysis","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"がん登録データを用いた DPC における医療資源消費量の関連性と樹形図における要因項目の分析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"がん登録データを用いた DPC における医療資源消費量の関連性と樹形図における要因項目の分析","subitem_title_language":"ja"},{"subitem_title":"Relationship of healthcare resource consumption with the Diagnosis Procedure Combination, using the cancer registry-linked Diagnosis Procedure Combination database,and analysis of factors in a tree diagram","subitem_title_language":"en"}]},"item_type_id":"10001","owner":"15","path":["154"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2022-04-15"},"publish_date":"2022-04-15","publish_status":"0","recid":"1177","relation_version_is_last":true,"title":["がん登録データを用いた DPC における医療資源消費量の関連性と樹形図における要因項目の分析"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2023-11-13T07:16:35.072581+00:00"}