A wolf dressed in sheep's clothing: Perhaps quality measures are just unmeasured severity

Applied Health Economics and Health Policy

Volumn 4, Issue 1, 2005, Pages 55-64

  Bridges, John F P ^a,b   Dor, Avi ^b,c   Grossman, Michael ^b,d  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b NATIONAL BUREAU OF ECONOMIC RESEARCH   (United States)

^c CASE WESTERN RESERVE UNIVERSITY   (United States)

^d CITY UNIVERSITY OF NEW YORK   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGED; ARTICLE; CALCULATION; CORONARY ARTERY BYPASS GRAFT; CORRELATION ANALYSIS; EMPLOYER; FEMALE; HEALTH CARE COST; HEALTH CARE QUALITY; HEALTH INSURANCE; HOSPITAL CARE; HUMAN; MALE; MARKET; MEDICARE; RISK ASSESSMENT; SCORING SYSTEM; UNITED STATES; ECONOMICS; HOSPITAL CHARGE; STANDARD;

AGED; CORONARY ARTERY BYPASS; FEMALE; HOSPITAL CHARGES; HUMANS; MALE; QUALITY INDICATORS, HEALTH CARE; RISK ADJUSTMENT; UNITED STATES;

EID: 25144475375     PISSN: 11755652     EISSN: None     Source Type: Journal    
DOI: 10.2165/00148365-200504010-00008     Document Type: Article

References (45)

1. Draper D, Kahn KL, Reinisch EJ, et al. Studying the effects of the DRG-based prospective payment system on quality of care: design, sampling, and field-work. JAMA 1990 Oct 17; 264 (15): 1956-61
2. Fuchs V. Health care for the elderly: how much? Who will pay for it? Health Aff 1999; 18: 11-21
3. Weisbrod BA. The health care quadrilemma: an essay on technological change, insurance, quality of care, and cost containment. J Econ Lit 1991; 29 (2): 523-52
4. Escarce JJ, Van Horn RL, Pauly MV, et al. Health maintenance organizations and hospital quality for coronary artery bypass surgery. Med Care Res Rev 1999 Sep; 56 (3): 340-62
5. Institute of Medicine (IOM). To err is human: building a safer health system. Washington, DC: National Academy Press, 1999
6. Institute of Medicine (IOM). Crossing the quality chasm: a new health system for the twenty-first century. Washington, DC: National Academy Press, 1999
7. Iezzoni LI. Risk adjustment for measuring health care outcomes. 3rd ed. Chicago (IL): Health Administration Press, 2003
8. Romano P, Mutter R. The evolving science of quality measurement for hospitals: implications for studies of competition and consolidation. Int J Health Care Finance Econ 2004; 4: 131-57
9. Hoff T, Jameson L, Hannan E, et al. A review of the literature examining linkages between organizational factors, medical errors and patient safety. Med Care Res Rev 2004; 6: 3-37
10. Luft HS, Ramano PS. Chance, continuity and change in hospital mortality rates. JAMA 1993; 270: 331-7
11. Mukamel DB, Dick A, Spector WD. Specification issues in measurement of quality of medical care using risk adjusted outcomes. J Econ Soc Meas 2000; 26: 267-81
12. Flood AB, Scott WR, Ewy W. Does practice make perfect? Part 1: the relation between hospital volume and outcomes for selected diagnostic categories. Med Care 1984; 22 (2): 98-114
13. Best WR, Cowper DC. The ratio of observed to expected mortality as a quality of care indicator in non-surgical VA patients. Med Care 1994; 32: 390-400
14. Gowrisankaran G, Town RJ. Estimating quality of care in hospitals using instrumental variables. J Health Econ 1999; 18: 747-67
15. Newhouse JP, McClellan M. Econometrics in outcomes research: the use of instrumental variables. Annu Rev Public Health 1998; 19: 17-34
16. Normand S-LT, Glickman ME, Gatsonis CA. Statistical methods for profiling providers of medical care: issues and applications. J Am Stat Assoc 1997; 92 (439): 803-14
17. Thomas JW, Holloway JJ, Guire KE. Validating risk-adjusted mortality as an indicator of quality of care. Inquiry 1993; 30 (1): 6-22
18. Shahian DM, Normand SL. The volume-outcome relationship: from luft to leap-frog. Ann Thorac Surg 2003; 75 (3): 1048-58
19. Brown SL. Nonprofit ownership and quality in Medicaid's longterm care program for persons with developmental disabilities. J Health Hum Serv Adm 2002; 25 (3): 315-41
20. Sloan F, Trogdon J, Curtis L, et al. Does the ownership of the admitting hospital make a difference? Outcomes and process of care of Medicare beneficiaries admitted with acute myocardial infarction. Med Care 2003; 41 (10): 1193-205
21. Byron R, Ashenfelter O. Predicting the quality of an unborn Grange. Econ Rec 1995; 71 (212): 40-53
22. Goldman F, Grossman M. The demand for pediatric care: an hedonic approach. J Polit Econ 1978 Apr; 86 (2 Pt 1): 259-80
23. Terris D, Bridges J. Understanding the art and science of risk adjustment. Gerontologist 2004; 44: 439-43
24. Hartz AJ, Krakauer H, Kuhn EM, et al. Hospital characteristics and mortality rates. N Engl J Med 1989; 321 (25): 1720-5
25. Mills RJ. Health insurance coverage: 2000. Suitland (MD): US Census Bureau, 2001
26. NCHS. Employer-sponsored health insurance: state and national estimates. Hayattsville (MD): National Center for Health Statistics, Centers for Disease Control and Prevention, 1997
27. Lipson DJ, De Sa JM. Impact of purchasing strategies on local health care systems. Health Aff 1996; 15 (2): 62-76
28. Kongstvedt PR. Essentials of managed care. Gaithersburg (MD): Aspen Publishers, Inc., 1995
29. Cutler D, McClennan M, Newhouse J. How does managed care do it? Rand J Econ 2000; 31 (3): 526-48
30. Krakauer H, Bailey RC, Skellan KJ, et al. Evaluation of the HCFA model for the analysis of mortality following hospitalization. Health Serv Res 1992 Aug; 27 (3): 317-35
31. Zhong Y, Cooper G, Einstadter D, et al. The association between hospital type and mortality and length of stay: a study of 16.9 million hospitalization Medicare beneficiaries. Med Care 2000; 38 (2): 231-45
32. Morrisey MA, Sloan FA, Valvona J. Defining geographic markets for hospital care. Law Contemp Probl 1988; 51 (2): 165-94
33. Halvorsen R, Palmquist R. The interpretation of dummy variables in a semilogarithmic regression. Am Econ Rev 1980; 70 (3): 1720-5
34. Huber PJ. The behavior of maximum likelihood estimates under nonstandard conditions. Fifth Berkeley Symposium on Mathematical Statistics and Probability. Berkeley (CA): University of California Press, 1967: 221-33
35. McClellan M, Staiger D. The quality of health care providers. National Bureau of Economic Research (NBER) working paper W7327. Cambridge (MA): National Bureau of Economic Research, 1999
36. Hannan EL, Kilburn H, Lindsey ML, et al. Clinical versus administrative data bases for CABG surgery: does it matter? Med Care 1992; 30 (10): 892-907
37. Krakauer H, Bailey R, Skellan K, et al. Evaluation of the HCFA model for the analysis of mortality following hospitalization. Health Serv Res 1992; 27: 317-35
38. Glazer J, McGuire TG. Private employers don't need formal risk adjustment. Inquiry 2001; 38 (3): 260-9
39. Keenan PS, Buntin MJ, McGuire TG, et al. The prevalence of formal risk adjustment in health plan purchasing. Inquiry 2001; 38 (3): 245-59
40. Shahian DM, Normand SL, Torchiana DF, et al. Cardiac surgery report cards: comprehensive review and statistical critique. Ann Thorac Surg 2001; 72 (6): 2155-68
41. Dranove D, Kessler D, McClellan M. Is more information better? The effects of 'report cards' on health care providers. National Bureau of Economic Research (NBER) working paper 8697. Cambridge (MA): National Bureau of Economic Research, 2002
42. Marshall MN, Schkelle PG, Leatherman S, et al. The public release of hospital and physician mortality data in Pennsylvania: a case study. JAMA 2000; 283: 1866-74
43. Schneider E, Epstein A. Use of cardiac-surgery performance reports on referral practices and access to care. N Engl J Med 1996; 335: 251-6
44. Peterson ED, DeLong ER, Jollis JG, et al. The effects of New York's bypass surgery provider profiling and access to care and patient outcomes in the elderly. J Am Coll Cardiol 1998; 32: 993-9
45. Freudenheim M. Quality goals in incentives for hospitals. The New York Times (late edition) 2002 Jun 26; Sect. C: 1 (col. 5)