The marginal benefits of invasive treatments for acute myocardial infarction: Does insurance coverage matter?

Inquiry

Volumn 37, Issue 1, 2000, Pages 75-90

  Brooks, John M ^a   McClellan, Mark ^b   Wong, Herbert S ^b  

^a UNIVERSITY OF IOWA   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE HEART INFARCTION; ADULT; AGED; ARTICLE; CLINICAL TRIAL; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; HEALTH CARE COST; HEALTH CARE QUALITY; HEALTH CARE UTILIZATION; HEALTH INSURANCE; HUMAN; HUMAN TISSUE; MATHEMATICAL ANALYSIS; POPULATION RESEARCH; RANDOMIZED CONTROLLED TRIAL; THEORY; TREATMENT OUTCOME;

EID: 0034120020     PISSN: 00469580     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (34)

1. Amemyia, T. 1985. Advanced Econometrics. Cambridge, Mass.: Harvard University Press.
2. Anderson, G. M., K. Grumbach, H. S. Luft, L. L. Roos, C. Mustard, and R. Brook. 1993. Use of Coronary Bypass Surgery in the United States and Canada: Influence of Age and Income. Journal of the American Medical Association. 269(13):1661-1666.
3. Angrist, J. D. 1991. Grouped-Data Estimation and Testing in Simple Labor-Supply Models. Journal of Econometrics 47:243-266.
4. Angrist, J. D., G. W. Imbens, and D. B. Rubin. 1996. Identification of Causal Effects Using Instrumental Variables. Journal of the American Statistical Association 91:444-454.
5. Ballard-Barbash, R., A. L. Potosky, L. C. Harlan, S. G. Nayfield, and L. G. Kessler. 1996. Factors Associated with Surgical and Radiation Therapy for Early Stage Breast Cancer in Older Women. Journal of the National Cancer Institute 88:716-726.
6. Bates, D. W., E. Miller, S. J. Bernstein, P. J. Mauptman, and L. L. Leape. 1997. Coronary Angiography and Angioplasty After Acute Myocardial Infarction. Annals of Internal Medicine 126:539-550.
7. Bound, J., D. A. Jaeger, and R. Baker. 1995. Problems with Instrumental Variables Estimation When the Correlation Between the Instruments and the Endogenous Explanatory Variable is Weak. Journal of the American Statistical Association 90:443-450.
8. Byar. D. P. 1991. Problems With Using Observational Databases to Compare Treatments. Statistics in Medicine 10:663-666.
9. Coronary Artery Surgery Study (CASS) Principal Investigators and Associates. 1983. CASS: A Randomized Trial of Coronary Bypass Surgery. Circulation 68:939-950.
10. Durbin, J. 1954. Errors in Variables. Review of the International Statistics Institute 1:23-32.
11. Friedman, M. A. 1957. Theory of the Consumption Function. Princeton, N.J.: Princeton University Press.
12. Guadagnoli, E., P. J. Hauptman, J. Z. Ayanian, C. L. Pashos, B. J. McNeil, and P. D. Cleary. 1995. Variation in the Use of Cardiac Procedures After Acute Myocardial Infarction. New England Journal of Medicine 333:573-578.
13. Harris, K. M., and D. K. Remler. 1998. Who is the Marginal Patient? Understanding Instrumental Variables Estimates of Treatment Effects. Health Services Research 33(5):1337-1360.
14. Hausman, J. 1983. Specification and Estimation of Simultaneous Equation Models. In Handbook of Econometrics, Z. Griliches and M. Intrilligator, eds. Amsterdam: North-Holland.
15. Imbens, G. W., and J. D. Angrist. 1994. Identification and Estimation of Local Average Treatment Effects. Econometrica 62(2):467-475.
16. Jollis, J. G., M. Ancukiewicz, E. R. DeLong, D. B. Pryor, L. H. Muhlbaier, and D. B. Mark. 1993. Discordance of Databases Designed for Claims Payment Versus Clinical Information Systems: Implications for Outcomes Research. Annals of Internal Medicine 119:844-850.
17. Landua, C., B. Glamann, J. E. Willard, L. D. Hillis, and R. A. Lange. 1994. Coronary Angioplasty in the Patient With Acute Myocardial Infarction. The American Journal of Medicine 96:536-543.
18. Lessler, D. S., and A. L. Avins. 1992. Cost, Uncertainty, and Doctors' Decisions: The Case of Thrombolytic Therapy. Archives of Internal Medicine 152:1665-1672.
19. McClellan, M., B. J. McNeil, and J. P. Newhouse. 1994. Does More Intensive Treatment of Acute Myocardial Infarction in the Elderly Reduce Mortality: Analysis Using Instrumental Variables. Journal of the American Medical Association 272:859-866.
20. McClellan, M., and J. P. Newhouse. 1993. The Marginal Benefits of Medical Treatment Intensity. Working Paper. National Bureau of Economic Research, Cambridge, Mass.
21. _. 1997. The Marginal Cost-Effectiveness of Medical Technology - A Panel Instrumental Variables Approach. Journal of Econometrics 77:39-64.
22. McClellan, M., and H. Noguchi. 1997. Instrumental Variables Estimation of Treatment Effects: Opportunities and Limitations. Presented at the 1997 International Conference on Health Policy Research sponsored by the Health Policy Statistics Section of the American Statistical Association, Crystal City, Va.
23. Moffitt, R. A. 1995. Selection Bias Adjustment in Treatment Effect Models as a Method of Aggregation. Working Paper. National Bureau of Economic Research, Cambridge, Mass.
24. Phelps, C. 1998. Health Economics, second edition. New York: HarperCollins Publishers, Inc.
25. Staiger, D., and J. H. Stock. 1997. Instrumental Variable Regression with Weak Instruments. Econometrica 65: 557-586.
26. The Veterans Administration Coronary Artery Bypass Surgery Cooperative Study Group. 1984. Eleven-Year Survival in the Veterans Administration Randomized Trial of Coronary Bypass Surgery for Stable Angina. New England Journal of Medicine 311:1333-1339.
27. Tu, J. V., C. D. Naylor, D. Kumar, B. A. Debuono, B. J. McNeil, E. L. Hannan, and the Steering Committee of the Cardiac Care Network of Ontario. 1997. Coronary Artery Bypass Graph Surgery in Ontario and New York State: Which Rate Is Right? Annals of Internal Medicine 126:13-19.
28. Varnauskas, E., and the European Coronary Surgery Study Group. 1988. Twelve-Year Follow-Up of Survival in the Randomized European Coronary Surgery Study. New England Journal of Medicine 319:332-337.
29. Veronesi, U., A. Banfi, B. Salvadori, A. Luini, R. Saccozzi, R. Zucali, E. Marubini, M. DelVecchio, P. Boracchi, S. Marchini, M. Merson, V. Sacchini, G. Riboldi, and G. Santoro. 1990. Breast Conservation is the Treatment of Choice in Small Breast Cancer: Long-Term Results of a Randomized Trial. European Journal of Cancer 26:668-670.
30. Wald, A. 1940. The Fitting of Straight Lines if Both Variables are Subject to Errors. Annals of Mathematical Statistics 11:284-300.
31. Wennberg, D., J. Dickens Jr., D. Soule, M. Kellett Jr., D. Malenka, J. Robb, T. Ryan Jr., W. Bradley, P. Vaitkus, M. Hearne, G. O'Connor, and R. Hillman. 1997. The Relationship Between the Supply of Cardiac Catheterization Laboratories, Cardiologists and the Use of Invasive Cardiac Procedures in Northern New England. Journal of Health Services Research and Policy 2:75-80.
32. Wennberg, J. 1986. Which Rate is Right? New England Journal of Medicine 314:310-311.
33. Yusuf, S., D. Zucker, P. Peduzzi, L. D. Fisher, T. Takaro, J. W. Kennedy, K. Davis, T. Killip, E. Passamani, R. Norris, C. Morris, V. Mathur, E. Varnauskas, and T. C. Chalmers. 1994. Effect of Coronary Artery Bypass Graph Surgery on Survival: Overview of 10-year Results From Randomized Trials by the Coronary Artery Bypass Graph Surgery Trialists Collaboration. Lancet 344:563-570.
34. Zellner, A. 1970. Estimation of Regression Relationships Containing Unobserved Independent Variables. International Economic Review 11:441-454.