The National Clinical Database as an Initiative for Quality Improvement in Japan |
Murakami, Arata
(Department of Cardiovascular Surgery, Gunma Children's Medical Center)
Hirata, Yasutaka (Department of Cardiac Surgery, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo) Motomura, Noboru (Department of Cardiac Surgery, Sakura Hospital, Toho University) Miyata, Hiroaki (Department of Health Quality Assessment, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo) Iwanaka, Tadashi (Department of Pediatric Surgery, Graduate School of Medicine and Faculty of Medicine, The University of Tokyo) Takamoto, Shinichi (The Mitsui Memorial Hospital) |
1 | Ferris TG, Torchiana DF. Public release of clinical outcomes data: online CABG report cards. N Engl J Med 2010;363: 1593-5. DOI |
2 | Jenkins KJ, Gauvreau K, Newburger JW, Spray TL, Moller JH, Iezzoni LI. Consensus-based method for risk adjustment for surgery for congenital heart disease. J Thorac Cardiovasc Surg 2002;123:110-8. DOI ScienceOn |
3 | Shahian DM, Edwards FH, Jacobs JP, et al. Public reporting of cardiac surgery performance: part 1--history, rationale, consequences. Ann Thorac Surg 2011;92(3 Suppl):S2-11. DOI |
4 | Shahian DM, Edwards FH, Jacobs JP, et al. Public reporting of cardiac surgery performance: part 2--implementation. Ann Thorac Surg 2011;92(3 Suppl):S12-23. DOI |
5 | Mavroudis C, Jacobs JP. Congenital Heart Surgery Nomenclature and Database Project: overview and minimum dataset. Ann Thorac Surg 2000 Apr;69(4 Suppl):S2-17. |
6 | Motomura N, Miyata H, Tsukihara H, Okada M, Takamoto S; Japan Cardiovascular Surgery Database Organization. First report on 30-day and operative mortality in risk model of isolated coronary artery bypass grafting in Japan. Ann Thorac Surg 2008;86:1866-72. DOI |
7 | Motomura N, Miyata H, Tsukihara H, Takamoto S; Japan Cardiovascular Surgery Database Organization. Risk model of valve surgery in Japan using the Japan Adult Cardiovascular Surgery Database. J Heart Valve Dis 2010;19:684-91. |
8 | Motomura N, Miyata H, Tsukihara H, Takamoto S; Japan Cardiovascular Surgery Database Organization. Risk model of thoracic aortic surgery in 4707 cases from a nationwide single- race population through a web-based data entry system: the first report of 30-day and 30-day operative outcome risk models for thoracic aortic surgery. Circulation 2008;118(14 Suppl):S153-9. DOI |
9 | Miyata H, Murakami A. The first report on risk models based on the Japan Congenital Cardiovascular Surgery Database. J Thorac Cardiovasc Surg 2014 Jan 15 [In press]. |
10 | Roques F, Nashef SA, Michel P; EuroSCORE study group. Risk factors for early mortality after valve surgery in Europe in the 1990s: lessons from the EuroSCORE pilot program. J Heart Valve Dis 2001;10:572-7. |
11 | Miyata H, Motomura N, Kondo MJ, Fushimi K, Ishikawa KB, Takamoto S. Toward quality improvement of cardiovascular surgery in Japan: an estimation of regionalization effects from a nationwide survey. Health Policy 2009;91:246-51. DOI |
12 | Miyata H, Motomura N, Ueda Y, Tsukihara H, Tabayashi K, Takamoto S. Toward quality improvement of thoracic aortic surgery: estimating volume-outcome effect from nationwide survey. Eur J Cardiothorac Surg 2009;36:517-21. DOI |
13 | Miyata H, Gotoh M, Hashimoto H, et al. Challenges and prospects of a clinical database linked to the board certification system. Surg Today 2014 May 23 [Epub]. |
14 | Reinertsen JL. Zen and the art of physician autonomy maintenance. Ann Intern Med 2003;138:992-5. DOI |
15 | Kenjo A, Miyata H, Gotoh M, et al. Risk stratification of 7,732 hepatectomy cases in 2011 from the National Clinical Database for Japan. J Am Coll Surg 2014;218:412-22. DOI |
16 | Kobayashi H, Miyata H, Gotoh M, et al. Risk model for right hemicolectomy based on 19,070 Japanese patients in the National Clinical Database. J Gastroenterol 2014;49: 1047-55. DOI |
17 | Roland M. Linking physician's pay to the quality of care - a major experiment in the United Kingdom. N Engl J Med 2004;351:1448-54. DOI |
18 | Donabedian A. Evaluating the quality of medical care. Milbank Mem Fund Q 1966;44:Suppl:166-206. DOI ScienceOn |
19 | Jacobs JP, Jacobs ML, Lacour-Gayet FG, et al. Stratification of complexity improves the utility and accuracy of outcomes analysis in a Multi-Institutional Congenital Heart Surgery Database: Application of the Risk Adjustment in Congenital Heart Surgery (RACHS-1) and Aristotle Systems in the Society of Thoracic Surgeons (STS) Congenital Heart Surgery Database. Pediatr Cardiol 2009;30:1117-30. DOI |
20 | Grover FL, Shroyer AL, Hammermeister K, et al. A decade's experience with quality improvement in cardiac surgery using the Veterans Affairs and Society of Thoracic Surgeons national databases. Ann Surg 2001;234:464-72. DOI |
21 | Tomotaki A, Miyata H, Hashimoto H, Murakami A, Ono M. Results of data verification of the Japan congenital cardiovascular database, 2008 to 2009. World J Pediatr Congenit Heart Surg 2014;5:47-53. DOI |