National Clinical Database feedback implementation for quality improvement of cancer treatment in Japan: from good to great through transparency

Surgery Today

Volumn 46, Issue 1, 2016, Pages 38-47

  Gotoh, Mitsukazu ^a,b   Miyata, Hiroaki ^a,b   Hashimoto, Hideki ^a,b   Wakabayashi, Go ^b   Konno, Hiroyuki ^a,b   Miyakawa, Shuichi ^b   Sugihara, Kenichi ^a   Mori, Masaki ^a   Satomi, Susumu ^a   Kokudo, Norihiro ^a   Iwanaka, Tadashi ^a  

^a National Clinical Database   (Japan)

^b National Clinical Database Data Quality Management Subcommittee   (Japan)

Author keywords

Gastrointestinal surgery; Mortality; National Clinical Database; Nationwide web based database; Risk model

Indexed keywords

CANCER PATIENT; CANCER SURGERY; CANCER THERAPY; CERTIFICATION; COST BENEFIT ANALYSIS; DATA BASE; ESOPHAGUS RESECTION; HEALTH CARE QUALITY; HEMICOLECTOMY; HUMAN; INFORMATION PROCESSING; JAPAN; LIVER RESECTION; NATIONAL CLINICAL DATABASE; PANCREATICODUODENECTOMY; PARTIAL GASTRECTOMY; RECTUM ANTERIOR RESECTION; REVIEW; SURGICAL MORTALITY; TOTAL QUALITY MANAGEMENT; TOTAL STOMACH RESECTION;

EID: 84949313974     PISSN: 09411291     EISSN: 14362813     Source Type: Journal    
DOI: 10.1007/s00595-015-1146-y     Document Type: Review

References (25)

1. Suzuki H, Gotoh M, Sugihara K, Kitagawa Y, Kimura W, Kondo S, et al. Nationwide survey and establishment of a clinical database for gastrointestinal surgery in Japan: targeting integration of a cancer registration system and improving the outcome of cancer treatment. Cancer Sci. 2011;102:226–30.
2. Database Committee of the Japanese Society of Gastroenterological Surgery. Report on the fiscal 2009 survey by database committee of the Japanese Society of Gastroenterological Surgery. [Internet]. Tokyo: The Japanese Society of Gastroenterological Surgery: 2011 March 30 [Cited 2012 Nov 16.] Available from URL: http://www.jsgs.or.jp/modules/en/index.php?content_id=10.
3. Miyata H, Gotoh M, Hashimoto H, Motomura N, Murakami A, Tomotaki A, et al. Challenges and prospects of a clinical database linked to the board certification system. Surg Today. 2014;44(11):1991–9.
4. Khuri SF, Daley J, Henderson W, Hur K, Demakis J, Aust JB, et al. The Department of Veterans Affairs’ NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program. Ann Surg. 1998;228(4):491–507.
5. Hall BL, Hamilton BH, Richards K, Bilimoria KY, Cohen ME, Ko CY. Does surgical quality improve in the American College of Surgeons National Surgical Quality Improvement Program: an evaluation of all participating hospitals. Ann Surg. 2009;250:363–76.
6. Watanabe M, Miyata H, Gotoh M, Baba H, Kimura W, Tomita N, et al. Total gastrectomy risk model: data from 20,011 Japanese patients in a nationwide internet-based database. Ann Surg. 2014;260(6):1034–9.
7. Kimura W, Miyata H, Gotoh M, Hirai I, Kenjo A, Kitagawa Y, 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.
8. Kobayashi H, Miyata H, Gotoh M, Baba H, Kimura W, Kitagawa Y, et al. Risk model for right hemicolectomy based on 19,070 Japanese patients in the National Clinical Database. J Gastroenterol. 2014;49(6):1047–55.
9. Kenjo A, Miyata H, Gotoh M, Kitagawa Y, Shimada M, Baba H, et al. Risk stratification of 7,732 hepatectomy cases in 2011 from the National Clinical Database for Japan. J Am Coll Surg. 2014;218(3):412–22.
10. Takeuchi H, Miyata H, Gotoh M, Kitagawa Y, Baba H, Kimura W, 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.
11. Matsubara N, Miyata H, Gotoh M, Tomita N, Baba H, Kimura W, et al. Mortality after common rectal surgery in Japan: a study on low anterior resection from a newly established nationwide large-scale clinical database. Dis Colon Rectum. 2014;57(9):1075–81.
12. Nakagoe T, Miyata H, Gotoh M, Anazawa T, Baba H, Kimura W, et al. Surgical risk model for acute diffuse peritonitis based on a Japanese nationwide database: an initial report on the surgical and 30-day mortality. Surg Today. 2014; PubMed PMID: 25228380. (Epub ahead of print).
13. Kurita N, Miyata H, Gotoh M, Shimada M, Imura S, Kimura W, et al. Risk model for distal gastrectomy when treating gastric cancer based on data from 33, 917 Japanese patients collected using a nationwide we-based data entry system. Ann Surg. (in press).
14. Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg. 2004;240(2):205–13.
15. Pricing Guide to ACS NSQIP Options available from URL:http://www.site.acsnsqip.org/wp-content/uploads/2012/02/OptionsPricingSheet1.pdf. Accessed 13 December 2014.
16. Anazawa T, Miyata H, Gotoh M. Cancer registries in Japan: National Clinical Database and site-specific cancer registries. Int J Clin Oncol. 2015;20(1):5–10.
17. Yasunaga H, Matsui H, Horiguchi H, Fushimi K, Matsuda S. Application of the diagnosis procedure combination (DPC) data to clinical studies. J UOEH. 2014; 36(3): 191–7. (Japanese).
18. Yasunaga H, Hashimoto H, Horiguchi H, Miyata H, Matsuda S. Variation in cancer surgical outcomes associated with physician and nurse staffing: a retrospective observational study using the Japanese Diagnosis Procedure Combination Database. BMC Health Serv Res. 2012;12:129. doi:10.1186/1472-6963-12-129.
19. Birkmeyer NJ, Birkmeyer JD. Strategies for improving surgical quality—should payers reward excellence or effort? N Engl J Med. 2006;354(8):864–70.
20. Birkmeyer JD, Gust C, Dimick JB, Birkmeyer NJ, Skinner JS. Hospital quality and the cost of inpatient surgery in the United States. Ann Surg. 2012;255(1):1–5.
21. Fung CH, Lim YW, Mattke S, Damberg C, Shekelle PG. Systematic review: the evidence that publishing patient care performance data improves quality of care. Ann Intern Med. 2008;148(2):111–23.
22. Lee TH. Eulogy for a quality measure. N Engl J Med. 2007;357(12):1175–7.
23. Werner RM, Asch DA. The unintended consequences of publicly reporting quality information. JAMA. 2005; 293(10):1239–44.
24. Dahlke AR, Chung JW, Holl JL, Ko CY, Rajaram R, Modla L, et al. Evaluation of initial participation in public reporting of American College of Surgeons NSQIP surgical outcomes on Medicare’s Hospital Compare website. J Am Coll Surg. 2014;218(3):374–80.
25. Sherman KL, Gordon EJ, Mahvi DM, Chung J, Bentrem DJ, Holl JL, et al. Surgeons’ perceptions of public reporting of hospital and individual surgeon quality. Med Care. 2013;51(12):1069–75.