New information technology systems and a Bayesian hierarchical bivariate probit model for profiling surgeon quality at a large hospital

Quarterly Review of Economics and Finance

Volumn 44, Issue 3, 2004, Pages 410-429

  Hall, Bruce Lee ^a   Hamilton, Barton H ^b  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b WASHINGTON UNIVERSITY IN ST LOUIS   (United States)

Author keywords

Hierarchical model; Markov Chain Monte Carlo (MCMC) methods; Morbidity; Mortality; Surgeon quality

Indexed keywords

EID: 4344680880     PISSN: 10629769     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.qref.2004.05.004     Document Type: Article

References (16)

1. Albert J. Chib S. Bayesian analysis of binary and polychotomous response data Journal of the American Statistical Association 88 1993 669-679
2. Blount L. & Waters J. (2001). Mastering the reimbursement process (3rd ed.). Chicago: AMA Press
3. Carlin B. & Louis T. (1996). Bayes and empirical Bayes methods for data analysis. London: Chapman & Hall
4. Chib S. Greenberg E. Analysis of multivariate probit models Biometrika 85 1998 347-361
5. Chib S. Hamilton B. Bayesian analysis of cross-section and clustered data selection models Journal of Econometrics 97 2000 25-50
6. Daley J. Khuri S. Henderson W. Hur K. Gibbs J. Barbour G. et al. and the participants in the National VA Surgical Risk Study. (1997). Risk adjustment of the postoperative morbidity rate for the comparative assessment of the quality of surgical care: Results of the National VA Surgical Risk Study. Journal of the American College of Surgeons 185 328-340
7. Dranove D. Kessler D. McClellan M. Satterthwaite M. Is more information better? The effects of "report cards" on health care providers Journal of Political Economy 111 2003 555-588
8. Fink A. Campbell D. Mentzer R. Henderson W. Daley J. Bannister J. et al. The National Surgical Quality Improvement Program in non-VA hospitals: Initial demonstration of feasibility Annals of Surgery 236 2002 344-354
9. Khuri S. Daley J. Henderson W. Barbour G. Lowry P. Irvin G. et al. and the participants in the National Veterans Administration Surgical Risk Study. (1995). The National Veterans Administration Surgical Risk Study: Risk adjustment for the comparative assessment of the quality of surgical care. Journal of the American College of Surgeons 180 519-531
10. Khuri S. Daley J. Henderson W. Hur K. Demakis J. Aust J. et al. and the participants in the National VA Surgical Quality Improvement Program. (1998). The Department of Veteran's 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. Annals of Surgery 228 491-507
11. Khuri S. Daley J. Henderson W. Hur K. Gibbs J. Barbour G. et al. and the participants in the National VA Surgical Risk Study. (1997). Risk adjustment of the postoperative mortality rate for the comparative assessment of the quality of surgical care: Results of the National VA Surgical Risk Study. Journal of the American College of Surgeons 185 315-327
12. Luft H. The relationship between surgical volume and mortality: An exploration of causal factors and alternative models Medical Care 18 1980 940-959
13. McClellan M. & Staiger D. (1999). The quality of health care providers (NBER Working Paper 7327)
14. Normand S. Glickman M. Gatsonis C. Statistical methods for profiling providers of medical care: Issues and applications Journal of the American Statistical Association 92 1997 803-814
15. Tanner M. Wong W. The calculation of posterior distributions by data augmentation (with discussion) Journal of the American Statistical Association 82 1987 528-550
16. Zellner A. An efficient method of estimating seemingly unrelated regressions and tests for aggregation bias Journal of the American Statistical Association 57 1962 348-368