{"created":"2023-05-15T11:44:48.188399+00:00","id":4876,"links":{},"metadata":{"_buckets":{"deposit":"fa64d3c7-ed92-49af-90cf-22f1daa27493"},"_deposit":{"created_by":1,"id":"4876","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"4876"},"status":"published"},"_oai":{"id":"oai:kanagawa-u.repo.nii.ac.jp:00004876","sets":["308:309:310:341"]},"author_link":["15939","15940"],"item_3_alternative_title_20":{"attribute_name":"その他の言語のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Estimation of medical treatment zones using GIS and area mesh statistics"}]},"item_3_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2016-03-25","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"79","bibliographicPageStart":"69","bibliographicVolumeNumber":"42","bibliographic_titles":[{"bibliographic_title":"経済貿易研究 : 研究所年報"}]}]},"item_3_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"医療機関の効率的な運用のためには適切なサイズ（病床数）があり、小さすぎても効率的な運用が難しいことが知られている。［小峰，et al． ２０１０］によると、４００～５００床程度が急性期病院に必要な最小サイズとされているが、わが国の病院で４００床以上のものは５％程度しかなく、大部分は非効率的なサイズで運用されている。そのため医療機関の集約化が政策課題となっているが、医療機関の集約化を行うと「病院が遠くなった」という地域住民の不満が当然生じる。　医療機関の集約化を行うためには（１）効率的なサイズまでの集約化を行う、（２）既存の医療機関がカバーしていた地域住民が新しい集約化後の病院を利用可能である、という２つの条件が必要である。本稿では、国勢調査の地域メッシュデータとGIS（地理情報システム）を用いることによって移動時間を指定した場合の医療圏を推定する試みについて説明する。","subitem_description_type":"Abstract"}]},"item_3_description_40":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Article","subitem_description_type":"Other"}]},"item_3_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"研究ノート","subitem_description_type":"Other"}]},"item_3_publisher_33":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"神奈川大学経済貿易研究所"}]},"item_3_source_id_10":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00071389","subitem_source_identifier_type":"NCID"}]},"item_3_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"0386-5193","subitem_source_identifier_type":"ISSN"}]},"item_3_version_type_16":{"attribute_name":"著者版フラグ","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":"小川, 浩"}],"nameIdentifiers":[{"nameIdentifier":"15939","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Ogawa, Hiroshi"}],"nameIdentifiers":[{"nameIdentifier":"15940","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-11-19"}],"displaytype":"detail","filename":"42-07.pdf","filesize":[{"value":"4.0 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"42-07.pdf","url":"https://kanagawa-u.repo.nii.ac.jp/record/4876/files/42-07.pdf"},"version_id":"63fc9c19-88b7-45ad-9cc6-e37bc9f71192"}]},"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":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"地域メッシュデータとGIS を用いた医療圏推定","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"地域メッシュデータとGIS を用いた医療圏推定"}]},"item_type_id":"3","owner":"1","path":["341"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-06-10"},"publish_date":"2016-06-10","publish_status":"0","recid":"4876","relation_version_is_last":true,"title":["地域メッシュデータとGIS を用いた医療圏推定"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2023-05-15T16:06:30.509429+00:00"}