Nobody Pays Retail: A Primer on Valuing Medical Care Bills

Nobody Pays Retail: A Primer on Valuing Medical Care Bills
March 21, 2013 - 12:23 pm, by

In most markets and in most industries, the prices paid by consumers (or businesses, in the case of business-to-business transactions), are not randomly made up by sellers. To be sure, in less competitive markets, where information is “fuzzy” or sellers have monopolistic power, a seller might be able to name a price and get it.

But in the vast majority of market transactions—the billions that take place each day—the prices paid by consumers and businesses reflect a very basic part of economic theory referred to as “willingness to pay,” or WTP. WTP is perhaps one of the most durable of economic theories, one that has been supported in virtually every empirical study of the demand for products and services.[1]

As some economists have argued, the medical care industry seems to be late to embracing WTP as a means of valuing health care services, in spite of it being widely used in the technology assessment side of the health economics practice [2-8]. The health industry is one of the few industries in the U.S. characterized by the odd custom of charging prices that are never paid and submitting invoices where purchasers are expected to pay a small fraction of the amount due. Even the mainstream media has taken to writing about this odd custom.[9] A recent New York Times article typifies the kind of reporting on the topic:

“A hospital in Livingston, N.J., charged $70,712 on average to implant a pacemaker, while a hospital in nearby Rahway, N.J., charged $101,945. In Saint Augustine, Fla., one hospital typically billed nearly $40,000 to remove a gallbladder using minimally invasive surgery, while one in Orange Park, Fla., charged $91,000. In one hospital in Dallas, the average bill for treating simple pneumonia was $14,610, while another there charged over $38,000.”[9]

Why do health industries continue in this odd ritual, and what are the implications for health care research, technology assessment, litigation support, policy analysis, and management? There are many reasons for the discrepancies between actual costs and charged amounts, but the main reason appears to be the “it’s always been done that way.” Health economists and researchers have long struggled with this issue, and began advising each other many years ago that the analyses of health care costs—that is, actual resource use—should be based on costs, not charges.[10-16] And ever since, the use of costs, rather than charged or billed amounts, has become the standard for health economics research (e.g., [17-30]).

As the buyers of medical care (e.g., employers) become more sophisticated in their understanding of medical care markets in the early 1990s, the chasm between the actual costs of medical care the amounts billed by providers began to widen. Purchasers bargained and negotiated, and paid only what they felt was “usual, customary, and reasonable” (UCR). Rates based on UCR began to fall to levels that were much closer to “reasonable value” than the charges that continued to be displayed on hospital “charge masters—the menu of prices most hospitals keep on file. Having two or more price lists, it turned out, was useful: by having one list of arbitrarily high prices, providers are free to privately negotiate lower rates with each purchaser individually, maximizing the price (or the WTP) for each buyer.

What are the implications of this practice for health care economics? In reality, this practice has resulted in quite a few gray hairs among health economists. Health economists must continue to be careful in not using charges as proxies for costs in any study. If charges are the only available option, it is generally acceptable to convert charges to costs by using data from Medicare Cost Reports (MCRs), which have been used extensively as a measure of hospitals’ cost structures (e.g., [17, 22, 25-28, 30-32]) The cost-to-charge ratio approach can be further refined by adding back a reasonable rate of return, akin to the rate-of-return methods used to regulate hospital costs in the 1980s and 1990s [33, 34]. Similar methods can be used to adjust outpatient professional charges to be more reflective of costs.

Economic evaluation of health technology is not the only area of health economics affected by the cost versus charges problem. In health policy, it has caused confusion as to the actual costs of existing and proposed health care programs and initiatives. In health care management, variation in prices for the same service make it challenging to assess service-level and procedure-level operating costs and margins, and to benchmark their cost and margin structures against industry standards.

The cautionary tale of the discrepancies between costs and charges can also be extended to litigation support as well. Both parties to litigation—plaintiffs and defense– often find themselves working only with medical bills, reflective only of amounts charged by physicians and hospitals and other health care providers. But we know those amounts do not reflect reasonable value, mainly because the amounts do not represent the willingness to pay on the part of the vast majority of purchasers and buyers. Instead, the charges are a byproduct of the vestigial “charge master,” much more a reflection of “aspirational” prices than reasonable value.

–John Schneider, PhD, CEO

1. Mas-Colell, A., M. Whinston, and J. Green, Microeconomic Theory. 1995, Oxford, UK: Oxford University Press.

2. Bala, M.V., J.A. Mauskopf, and L.L. Wood, Willingness to pay as a measure of health benefits. Pharmacoeconomics, 1999. 15(1): p. 9-18.

3. Gafni, A., Willingness-to-pay (WTP): the new-old kid on the economic evaluation block. Can J Nurs Res, 2001. 33(1): p. 59-64.

4. Gyrd-Hansen, D., Willingness to pay for a QALY: theoretical and methodological issues. Pharmacoeconomics, 2005. 23(5): p. 423-32.

5. Hirth, R.A., et al., Willingness to pay for a quality-adjusted life year: in search of a standard. Med Decis Making, 2000. 20(3): p. 332-42.

6. Hunt, T.L., et al., Willingness to pay for cancer prevention. Pharmacoeconomics, 2009. 27(4): p. 299-312.

7. Klose, T., The contingent valuation method in health care. Health Policy, 1999. 47(2): p. 97-123.

8. Lin, P.J., et al., Willingness to pay for diagnostic technologies: a review of the contingent valuation literature. Value Health, 2013. 16(5): p. 797-805.

9. Meier, B., J.C. McGinty, and J. Creswell, Hospital Billing Varies Wildly, Government Data Shows, in The New York Times2013: New York, NY.

10. Marty, A.T., et al., The variation in hospital charges: a problem in determining cost/benefit for cardiac surgery. Ann Thorac Surg, 1977. 24(5): p. 409-16.

11. Danzon, P.M., Hospital ‘profits’: the effects of reimbursement policies. J Health Econ, 1982. 1(1): p. 29-52.

12. Curtiss, F.R., Analysis of nationwide pharmacy charges per DRG. Am J Hosp Pharm, 1985. 42(10): p. 2168-74.

13. Johnston, W.P., P. Jacobs, and M. Dickson, Interhospital variations in hospital pharmacy markups. Am J Hosp Pharm, 1985. 42(11): p. 2492-5.

14. Sabin, P., Hospital cost accounting and the new imperative. Health Prog, 1987. 68(4): p. 52-7.

15. Suver, J.D. and J.C. Cooper, Principles and methods of managerial cost-accounting systems. Am J Hosp Pharm, 1988. 45(1): p. 146-52.

16. Langer, R.D., et al., A research-oriented medical cost accounting system. Int J Biomed Comput, 1991. 28(3): p. 161-7.

17. Radensky, P.W., et al., Inpatient costs of major cardiovascular events. Am J Cardiovasc Drugs, 2001. 1(3): p. 205-17.

18. Drummond, M., et al., Use of pharmacoeconomics information–report of the ISPOR Task Force on use of pharmacoeconomic/health economic information in health-care decision making. Value Health, 2003. 6(4): p. 407-16.

19. Wagner, T.H., S. Chen, and P.G. Barnett, Using average cost methods to estimate encounter-level costs for medical-surgical stays in the VA. Med Care Res Rev, 2003. 60(3 Suppl): p. 15S-36S.

20. Weinstein, M.C., et al., Principles of good practice for decision analytic modeling in health-care evaluation: report of the ISPOR Task Force on Good Research Practices–Modeling Studies. Value Health, 2003. 6(1): p. 9-17.

21. Philips, Z., et al., Review of guidelines for good practice in decision-analytic modelling in health technology assessment. Health Technol Assess, 2004. 8(36): p. iii-iv, ix-xi, 1-158.

22. Park, B., et al., Clinical outcomes and cost comparison of carotid artery angioplasty with stenting versus carotid endarterectomy. J Vasc Surg, 2006. 44(2): p. 270-6.

23. Philips, Z., et al., Good practice guidelines for decision-analytic modelling in health technology assessment: a review and consolidation of quality assessment. Pharmacoeconomics, 2006. 24(4): p. 355-71.

24. Garrison, L.P., Jr., et al., Using real-world data for coverage and payment decisions: the ISPOR Real-World Data Task Force report. Value Health, 2007. 10(5): p. 326-35.

25. Lubowitz, J.H. and D. Appleby, Cost-effectiveness analysis of the most common orthopaedic surgery procedures: knee arthroscopy and knee anterior cruciate ligament reconstruction. Arthroscopy, 2011. 27(10): p. 1317-22.

26. Robinson, J.C., Variation in hospital costs, payments, and profitabilty for cardiac valve replacement surgery. Health Serv Res, 2011. 46(6pt1): p. 1928-45.

27. Chen, H.Y., et al., Variations in car crash-related hospitalization costs amongst young adults in New South Wales, Australia. Injury, 2012. 43(9): p. 1593-9.

28. Obirieze, A.C., et al., Regional variations in cost of trauma care in the United States: who is paying more? J Trauma Acute Care Surg, 2012. 73(2): p. 516-22.

29. Levit, K.R., B. Friedman, and H.S. Wong, Estimating inpatient hospital prices from state administrative data and hospital financial reports. Health Serv Res, 2013. 48(5): p. 1779-97.

30. Qureshi, S.A., et al., Cost-effectiveness analysis: comparing single-level cervical disc replacement and single-level anterior cervical discectomy and fusion: clinical article. J Neurosurg Spine, 2013. 19(5): p. 546-54.

31. Redelmeier, D.A., et al., Charges for medical care at different hospitals. Arch Intern Med, 2000. 160(10): p. 1417-22.

32. Klein, M.B., et al., Hospital costs associated with pediatric burn injury. J Burn Care Res, 2008. 29(4): p. 632-7.

33. Schneider, J.E., Changes in the Effects of Mandatory Rate Regulation on Growth in Hospital Operating Costs, 1980-1996. Review of Industrial Organization, 2003. 22(4): p. 297-312.

34. Schneider, J.E., J. Cromwell, and T. McGuire, Excluded Facility Financial Status and Options for Payment System Modification. Health Care Financing Review, 1993. 15(2): p. 7-30.

Comments are closed here.

Do NOT follow this link or you will be banned from the site!