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タイトル: Postoperative mortality analysis on nationwide data from diagnosis procedure combination database in Japan
著者: Kunisawa, Susumu
著者名の別形: 國澤, 進
キーワード: Death rates
Coronary artery bypass grafting
Surgical and invasive medical procedures
Japan
Databases
Aneurysms
Tracheotomy
Vascular surgery
発行日: Jun-2023
出版者: Public Library of Science (PLoS)
誌名: PLOS ONE
巻: 18
号: 6
論文番号: e0286264
抄録: [Introduction] The present study aimed to investigate the postoperative mortality due to all surgeries at the prefectural level using a nationwide diagnosis procedure combination (DPC) database in Japan and to evaluate the data according to temporal changes and regional differences. [Methods] Data were provided in accordance with the guidelines indicated on the Ministry of Health, Labor and Welfare, Japan. The number of cases and in-hospital mortality were calculated for each representative surgery for each hospitalization according to fiscal year of discharge from 2011 to 2018 and according to prefecture. Values of ≥10 in each aggregated data cell were presented. [Results and discussion] The aggregated result data contain 474, 154 records, with about 2, 000 different surgical codes. More than 10 mortalities were recorded in only 16, 890 data cells, which can be used in the mortality analysis. In the analyses of artificial head insertion, cerebral aneurysm neck clipping, coronary artery and aortic bypass grafting, and tracheotomy, regional differences and a declining trend were observed in some categories. [Conclusion] In addition to considering categories that can be used in the analysis, careful consideration must be given to the inclusion of background context such as the quality of care.
著作権等: © 2023 Susumu Kunisawa.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
URI: http://hdl.handle.net/2433/287224
DOI(出版社版): 10.1371/journal.pone.0286264
PubMed ID: 37289744
出現コレクション:学術雑誌掲載論文等

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