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How Changes in Medical Technology Affect Health Care Costs

By Matthew Tae  Posted by Matthew UTae (about the submitter)       (Page 2 of 3 pages) Become a premium member to see this article and all articles as one long page.   No comments

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Health insurance systems that provide payment for new innovations also encourage medical advances.  Medical treatments can be very expensive, and their cost would be beyond the reach of many people unless their risk of needing health care could be pooled though insurance (either public or private).  The presence of health insurance provides some assurance to researchers and medical suppliers that patients will have the resources to pay for new medical products, thus encouraging research and development.  At the same time, the promise of better health through improvements in medicine may increase the demand for health insurance by consumers looking for ways to assure access to the type of medical care that they want.

The continuing flow of new medical technology results from other factors including the desire by professionals to find better ways to treat their patients and the level of investment in basic science and research.  Direct providers of care may incorporate new technology because they want to improve the care they offer their patients, but they also may feel the need to offer the “latest and best” as they compete with other providers for patients.  Health care professionals, like people in other occupations, also may be motivated by professional goals (e.g., peer recognition, tenure, prestige) to find ways to improve practice.  Commercial interests (such as pharmaceutical companies and medical device makers) are willing to invest large amounts in research and development because they have found strong consumer interest in, and financial reimbursement for, many of the new products they produce.  In addition, public and private investments in basic science research lead directly and indirectly to advancements in medical practice; these investments in basic science are not necessarily motivated by an interest in creating new products but by the desire to increase human understanding.

An estimated $111 billion was spent on U.S. health research in 2005.  The largest share was spent by Industry ($61 billion, or 55%), including the pharmaceutical industry ($35 billion, or 31%), the biotechnology industry ($16 billion, or 15%), and the medical technology industry ($10 billion, or 9%).  Government spent $40 billion (36%), most of which was spent by the National Institutes of Health ($29 billion, or 26%), followed by other federal government agencies ($9 billion, or 8%), and state and local government ($3 billion, or 2%).  Other Organizations (including universities, independent research institutes, voluntary health organizations, and philanthropic foundations) spent $10 billion (9%).  About 5.5 cents of every health dollar was spent on health research in 2005, a decrease from 5.8 cents in 2004. 8  It is not known how much of health research was spent specifically on medical technology, though by definition most of the Industry spending ($61 billion) was spent on medical technology.  Medical technology industries spent greater shares of research and development as a percent of sales in 2002 than did other U.S. industries: 11.4% for the Medical Devices industry and 12.9% for Drugs and Medicine, compared to 5.6% for Telecommunications, 4.1% for Auto, 3.9% for Electrical/Electronics, 3.5% for All Companies, and 3.1% for Aerospace/Defense. 9

Policy Issues

Rising health care expenditures lead to the question of whether we are getting value for the money we spend. Compared to other high-income countries, the U.S. spends more,10 but this spending is not reflected in greater health care resources (such as hospital beds, physicians, nurses, MRIs, and CT scanners per capita)11 or better measures of health. 12  However, studies have found that, on average, increases in medical spending as a result of advances in medical care have provided reasonable value.  For example, Cutler et al. found that from 1960 to 2000, average life expectancy increased by 7 years, 3.5 years of which they attribute to improvements in health care.  Comparing the value of a year of life (anywhere from $50,000 to $200,000) to the study’s finding that each year of increased life expectancy cost about $19,900 in health spending (after adjusting for inflation), the authors concluded that the increased spending, on average, has been worth it. 13

No matter the value of advances in medical care, as the rapid growth in health care costs increasingly strains personal, corporate, and government budgets, policymakers and the public must consider the question of how much health care we can afford.  Can the U.S. continue to spend an expanding share of GDP on health (from 7.2% in 1970 to a projected 20% by 2015)?  If the answer is no, then society must consider ways to reduce future health spending growth.  And since, as described earlier, the development and diffusion of new medical technology is a significant contributor to the rapid growth in health care spending, it is new technology that we would look to for cost savings.

Currently, most suggestions to slow the growth in new medical technology in the U.S. focus on cost-effectiveness analysis.  Other approaches have problems: some used by other countries are not popular in the U.S. (rationing, regulation, budget-driven constraints), some have been tried and found not to have a significant impact on technology-driven costs (managed care, certificate-of-need approval), while others are expected to have only limited impact on health care spending (consumer-driven health care, pay-for-performance, information technology).  Cost-effectiveness analysis involves non-biased, well-controlled studies of a technology’s benefits and costs, followed by dissemination of the findings so they can be applied in clinical practice.  The method to control the use of inappropriate technology could be through coverage and reimbursement decisions, by using financial incentives for physician and patients to use cost-effective treatments.  Use of the cost-effectiveness findings could be implemented at the health plan level 14 or through a centralized, institutional process, such as Britain’s National Institute for Health and Clinical Excellence (NICE).  If implemented at the national level, questions about the structure, placement, financing, and function of a centralized agency would have to be resolved. 15  Other issues include whether money would be saved by reducing costly technology where marginal value is low and how to monitor the cost impact, and whether a cost containment approach would discourage technological innovation.
 

1. Centers for Medicare and Medicaid Services, Office of the Actuary, National Health Statistics Group, http://www.cms.hhs.gov/NationalHealthExpendData/ (see Historical, NHE summary including share of GDP, CY 1960-2005, file nhegdp05.zip; and Historical, Projected, NHE Historical and projections, 1965-2015, file nhe65-15.zip).

2. George B. Moseley III, Changing Conditions for Medical Technology in the Health Care Industry (presented before the OGI School of Science and Engineering, Oregon Health and Science University, October 18, 2005), http://cpd.ogi.edu/Seminars05/MoseleySeminarIndex.htm.

3. AdvaMed, The Value of Investment in Health Care: Better Care, Better Lives (January 2004): 14-21, at http://www.advamed.org/newsroom/medtap/medtapreport.pdf.

4. David M. Cutler and Mark McClellan, “Is Technological Change in Medicine Worth It?” Health Affairs 20(5) (September/October 2001): 11-29.

5. Richard A. Rettig, “Medical Innovation Duels Cost Containment,” Health Affairs (Summer 1994): 15.

6. Several approaches have been used to study and quantify the impact of technology on health care costs, including:

  • The residual approach, where the impact of changes in other factors (such as prices, income, population growth and demographic changes, and utilization) is quantified, and the residual not accounted for is attributed to changes in technology. The most widely-used approach, it circumvents the need to specify a direct measure of technology and captures the impact of general technologies applied in the health sector, such as information technology.  However, it is only a rough, indirect estimate (and perhaps an overestimate) of the impact of technology on health spending because other factors that cannot be quantified (such as lifestyle, environment, education) will also be included along with technology.  Examples of residual studies include (1) Newhouse (1992),  described in the text of this report; and (2) Edgar A. Peden and Mark S. Freeland, “Insurance Effects on US Medical Spending (1960-1993),” Health Economics 7 (1998): 671-687, which found that nearly half (47%) of the 1960-1993 growth in real per capita U.S. medical spending and almost two-thirds (64%) of its 1983-1993 growth were due to increasing levels of insurance coverage (i.e., a decline in coinsurance levels paid by consumers). Because lower coinsurance levels and higher research spending are considered inducers of technology, the authors concluded that these results imply that about two-thirds (70%) of the 1960-1993 medical spending growth and about three-fourths (76%) of the 1983-1993 medical spending growth came from cost-increasing advances in medical technology.
  • The proxy approach, where a proxy (such as research and development spending, or time) is used to measure the impact of technology.  The usefulness of these studies depends on how good a substitute the proxy is for technology and how measurable it is.  Examples include: (1) Albert A. Okunade and Vasudeva N.R. Murthy, “Technology as a “Major Driver” of Health Care Costs: a Cointegration Analysis of the Newhouse Conjecture,” Journal of Health Economics 21 (2002): 147-159, which found that technological change, proxied by total research and development (R&D) spending and health R&D spending, is a statistically significant long-run driver of 1960-1997 rising real health care expenditures per capita; and (2) Livio Di Matteo, “The Macro Determinants of Health Expenditure in the United State and Canada: Assessing the Impact of Income, Age Distribution and Time,” Health Policy 71(1) (January 2005): 23-42, which found that time, used as a proxy for technological change, accounted for about two-thirds of the 1975-2000 increases in real per capita health expenditures in the U.S. and Canada.
  • Case studies of specific technologies, to determine their effects on the cost of treating a particular condition. While case studies can explain the impact of certain medical advances on health care costs, it is difficult to generalize from them to an aggregate or national level: (1) In an analysis of technological change at the disease level for 5 medical conditions, David M. Cutler and Mark McClellan, “Is Technological Change In Medicine Worth It?” Health Affairs 20(5) (September/October 2001): 11-29, found that the benefits of 4 of the 5 conditions studied (heart attacks, low-birthweight infants, depression, and cataracts) were greater than the costs; costs and benefits were about equal for the fifth condition (breast cancer).  For example, in 1984 nearly 90% of heart attack patients were managed medically; by 1998, more than half of patients received surgical treatment.  Spending by Medicare on heart attack patients increased from $3 billion to $4.8 billion (a 3.4% annual change), despite a 0.8% annual decline in the number of heart attacks.  From 1984-1998, the use of new technology helped to increase the average heart attack patient’s life expectancy by one year (valued at $70,000 per case), while treatment costs increased $10,000 per case (4.2% per year), for a net benefit of $60,000 per case; and (2) Laurence Baker et al., “The Relationship Between Technology Availability And Health Care Spending,” Health Affairs, Web Exclusive (November 5, 2003): W3-537-W3-551, studied the relationship between the supply of new technologies and health care utilization and spending at 3 levels (a particular technology, “category” spending on substitutable or complimentary technologies, and total health spending), using 10 diagnostic imaging, cardiac, cancer, and newborn care technologies. They found that more availability of the technologies was frequently associated with higher use and spending on the services.  For example, a one unit increase in the number of freestanding MRI units per million people was associated with an increase of about $32,900 per million beneficiaries (commercial and Medicare) per month, or approximately $395,000 per year.  Looking at “category” spending, they found an individual technology can increase or decrease spending on other technologies in the same category depending on whether they complement those technologies (e.g., an increase of one unit per million in availability of MRI equipment was associated with an increase of 0.33% in total diagnostic imaging spending) or substitute for those technologies (e.g., increases in the availability of cardiac services were typically associated with reductions in total spending on patients with cardiac diagnoses).  For total health care spending, they found that greater availability of technologies was associated with higher total spending in the commercial population in all but 2 technologies studied, and these effects were larger than the technology-specific relationships.

This endnote borrows heavily from (1) Mark S. Freeland, Stephen K. Heffler, and Sheila D. Smith, The Impact of Technological Change on Health Care Cost Increases: A Brief Synthesis of the Literature, June 1998, Office of the Actuary, Health Care Financing Administration; (2) Fabio Pammolli et al., Medical Devices: Competitiveness and Impact on Public Health Expenditure (July 2005), Center for the Economic Analysis of Competitiveness, Markets and Regulation (CERM), Rome, Italy; prepared for the Directorate Enterprise of the European Commission, http://ec.europa.eu/enterprise/medical_devices/c_f_f/md_final_report.pdf; and (3) Productivity Commission, Australian Government, Impacts of Advances in Medical Technology in Australia, August 31, 2005, Melbourne, Australia, http://www.pc.gov.au/study/medicaltechnology/finalreport/index.html.

7. Joseph P. Newhouse, “Medical Care Costs: How Much Welfare Loss?” Journal of Economic Perspectives 6(3) (Summer 1992): 3-21. For a thorough discussion of the components of health care spending growth and medical technology's significant role, see the report of the Technical Review Panel on the Medicare Trustees Reports, Review of Assumptions and Methods of the Medicare Trustees' Financial Projections (December 2000),  http://www.cms.hhs.gov/ReportsTrustFunds/02_TechnicalPanelReports.asp#TopOfPage.  The Panel concluded that estimates from the literature suggest that about half of real health care expenditure growth has been attributable to medical technology (p. 35).

8. Research!America, 2005 Investment in U.S. Health Research, September 2006, http://www.researchamerica.org/publications/appropriations/healthdollar2005.pdf. Data for the medical technology industry, universities, state and local government, and philanthropic foundations is for 2004.

9. AdvaMed, The Medical Technology Industry at a Glance (Sept. 7, 2004): 14, Chart 3.2, http://www.advamed.org/newsroom/chartbook.pdf.

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