A cohort study of the relationship between active collaboration and operational efficiency in Japanese public health institutions

• 資料種別: 記事
• タイトル: A cohort study of the relationship between active collaboration and operational efficiency in Japanese public health institutions
• 著者・編者: Motoi Miura; Tetsuya Tanimoto; Satoshi Miyata; Masayasu Murakami; Yoshinori Nakata
• 出版事項: 日本 : Japan Medical Association
• 出版年月日等: 2022-10-17
• 出版年（W3CDTF）: 2022-10-17
• タイトル（掲載誌）: JMA Journal
• 巻号年月日等（掲載誌）: 5(4)
• 掲載巻: 5(4)
• ISSN（掲載誌）: 2433-3298
• ISSN-L（掲載誌）: 2433-328X
• 本文の言語コード: eng
• DOI: 10.31662/jmaj.2021-0195; https://doi.org/10.31662/jmaj.2021-0195
• 国立国会図書館永続的識別子: info:ndljp/pid/14494951; https://dl.ndl.go.jp/pid/14494951
• コレクション（共通）: 障害者向け資料
• コレクション（障害者向け資料：レベル1）: テキストデータ
• コレクション（個別）: 国立国会図書館デジタルコレクション > 電子書籍・電子雑誌 > その他; https://dl.ndl.go.jp/collections/B00035
• 収集根拠: インターネット資料収集保存事業（WARP）
• 受理日（W3CDTF）: 2025-10-21T09:04:40+09:00
• 保存日（W3CDTF）: 2024-09-26
• 記録形式（IMT）: application/pdf
• オンライン閲覧公開範囲: インターネット公開
• 遠隔複写可否（NDL）: 不可
• 掲載誌（URI）: https://warp.da.ndl.go.jp/info:ndljp/pid/13747952/www.jmaj.jp/detail.php?id=10.31662%2Fjmaj.2021-0195
• 掲載誌（国立国会図書館永続的識別子）: info:ndljp/pid/14494946; https://dl.ndl.go.jp/pid/14494946
• 連携機関・データベース: 国立国会図書館 : 国立国会図書館デジタルコレクション; https://dl.ndl.go.jp

• 要約等: <p><b>Introduction:</b> In recent years, public hospitals have seen an increasing need for management reform in light of increasing social security costs due to the aging population. This study investigated the relationship between collaboration with neighboring medical institutions and management efficiency in public hospitals.</p><p><b>Methods:</b> Data envelopment analysis was used to calculate the dependent variable. We used the referral rate for each public hospital as an independent variable to indicate active collaboration. Univariate and multivariate analyses examined the association between the two variables above. The adjustment variables in the multivariate analysis incorporated those variables that were considered significant in the univariate analysis when the significance level was 10% on a two-sided basis. The Tobit regression model was used in both univariate and multivariate analyses.</p><p><b>Results:</b> Ultimately, the analysis included 402 public hospitals. Approximately 8% fell into the high-collaboration group. Even after adjusting for significant variables from the univariate analysis, the inefficiency value was significantly lower in the high-collaboration group than in the low-collaboration group; namely, the efficiency value in the high-collaboration group was significantly higher than in the low-collaboration group. Moreover, hospitals with a higher ratio of subsidies to revenue had significantly lower values for management efficiency.</p><p><b>Conclusions:</b> The analysis of the relationship between efficiency value and the percentage of referred patients in Japan indicated that higher percentages of referred patients, that is, higher degrees of cooperation, were significantly associated with higher efficiency scores.</p>
• DOI: 10.31662/jmaj.2021-0195
• オンライン閲覧公開範囲: インターネット公開
• 連携機関・データベース: 科学技術振興機構 : J-STAGE; http://www.jstage.jst.go.jp

• 要約等: <p><b>Introduction:</b> In recent years, public hospitals have seen an increasing need for management reform in light of increasing social security costs due to the aging population. This study investigated the relationship between collaboration with neighboring medical institutions and management efficiency in public hospitals.</p><p><b>Methods:</b> Data envelopment analysis was used to calculate the dependent variable. We used the referral rate for each public hospital as an independent variable to indicate active collaboration. Univariate and multivariate analyses examined the association between the two variables above. The adjustment variables in the multivariate analysis incorporated those variables that were considered significant in the univariate analysis when the significance level was 10% on a two-sided basis. The Tobit regression model was used in both univariate and multivariate analyses.</p><p><b>Results:</b> Ultimately, the analysis included 402 public hospitals. Approximately 8% fell into the high-collaboration group. Even after adjusting for significant variables from the univariate analysis, the inefficiency value was significantly lower in the high-collaboration group than in the low-collaboration group; namely, the efficiency value in the high-collaboration group was significantly higher than in the low-collaboration group. Moreover, hospitals with a higher ratio of subsidies to revenue had significantly lower values for management efficiency.</p><p><b>Conclusions:</b> The analysis of the relationship between efficiency value and the percentage of referred patients in Japan indicated that higher percentages of referred patients, that is, higher degrees of cooperation, were significantly associated with higher efficiency scores.</p>
• DOI: 10.31662/jmaj.2021-0195; https://doi.org/10.31662/jmaj.2021-0195
• オンライン閲覧公開範囲: インターネット公開
• 関連情報（URI）: http://id.ndl.go.jp/digimeta/14494951; https://dl.ndl.go.jp/pid/14494951; https://www.jmaj.jp/download.php?id=10.31662/jmaj.2021-0195; https://teikyo-u.repo.nii.ac.jp/records/2019982; https://search.jamas.or.jp/link/ui/2023253972
• 連携機関・データベース: 国立情報学研究所 : CiNii Research; https://cir.nii.ac.jp/
• 提供元機関・データベース: Japan Link Center; https://japanlinkcenter.org/top; 雑誌記事索引データベース; https://ndlsearch.ndl.go.jp; Crossref; https://www.crossref.org; 科学研究費助成事業データベース; https://kaken.nii.ac.jp/ja; 学術機関リポジトリデータベース; https://irdb.nii.ac.jp
• 書誌ID（NDLBibID）: 14494951; http://id.ndl.go.jp/bib/14494951