2. National Clinical Database: Its Use and Data Quality Management Efforts
Author:
Affiliation:
1. Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo
2. Department of Health Policy and Management, School of Medicine, Keio University
Publisher
Japanese Society for Pharmacoepidemiology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjpe/21/1/21_27/_pdf
Reference13 articles.
1. 1) Kurita N, Miyata H, Gotoh M, et al. Risk model for distal gastrectomy when treating gastric cancer on the basis of data from 33,917 Japanese patients collected using a nationwide web-based data entry system. Ann Surg 2015; 262(2): 295-303.
2. 2) Takeuchi H, Miyata H, Gotoh M, et al. A risk model for esophagectomy using data of 5354 patients included in a Japanese nationwide web-based database. Ann Surg 2014; 260(2): 259-66.
3. 3) Kimura W, Miyata H, Gotoh M, et al. A pancreaticoduodenectomy risk model derived from 8575 cases from a national single-race population (Japanese) using a web-based data entry system: the 30-day and in-hospital mortality rates for pancreaticoduodenectomy. Ann Surg 2014; 259(4): 773-80.
4. 4) Miyata H, Tomotaki A, Motomura N, Takamoto S. Operative mortality and complication risk model for all major cardiovascular operations in Japan. Ann Thorac Surg 2015; 99(1): 130-9.
5. 5) Miyata H, Murakami A, Tomotaki A, et al. Predictors of 90-day mortality after congenital heart surgery: the first report of risk models from a Japanese database. J Thorac Cardiovasc Surg 2014; 148(5): 2201-6.
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1. Postoperative mortality analysis on nationwide data from diagnosis procedure combination database in Japan;PLOS ONE;2023-06-08
2. Preface;Japanese Journal of Pharmacoepidemiology/Yakuzai ekigaku;2022-06-25
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