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. 2006 Mar-Apr;25(2):w34-47.
doi: 10.1377/hlthaff.25.w34. Epub 2006 Feb 7.

Is technological change in medicine always worth it? The case of acute myocardial infarction

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Is technological change in medicine always worth it? The case of acute myocardial infarction

Jonathan S Skinner et al. Health Aff (Millwood). 2006 Mar-Apr.

Abstract

We examine Medicare costs and survival gains for acute myocardial infarction (AMI) during 1986-2002. As David Cutler and Mark McClellan did in earlier work, we find that overall gains in post-AMI survival more than justified the increases in costs during this period. Since 1996, however, survival gains have stagnated, while spending has continued to increase. We also consider changes in spending and outcomes at the regional level. Regions experiencing the largest spending gains were not those realizing the greatest improvements in survival. Factors yielding the greatest benefits to health were not the factors that drove up costs, and vice versa.

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Figures

Exhibit 1
Exhibit 1. The Association Between Adjusted One-Year Survival Post-AMI and One-Year Expenditures by Hospital Referral Region: 2002
Legend: Each dot represents a hospital referral region (HRR) with at least 250 individuals experiencing a heart attack in 1986. (N = 56) The sample is the elderly (65+) fee-for-service Medicare population, and both survival rates and expenditures are adjusted for age, sex, rate, comorbidities, and the severity of the heart attack.
Exhibit 2
Exhibit 2. Adjusted One-Year Survival For Elderly Medicare Enrollees with an AMI: 1986–2002
Legend: The vertical axis measures the percentage who survive the index acute myocardial infarction (AMI). This is equal to 100 minus the percentage one-year mortality. The left dashed line (1984–94) is from D. M. Cutler and M. McClellan, “Is Technological Change in Medicine Worth It?” The right solid line (1986–2002) is from the authors’ calculations.
Exhibit 3
Exhibit 3. Adjusted One-Year Medicare Expenditures For Elderly Medicare Enrollees with an AMI: 1986–2002
Legend: The vertical axis measured risk-adjusted real Medicare expenditures following the index acute myocardial infarction (AMI) for each year 1986–2002. All expenditures are adjusted for inflation using the GDP Deflator. The higher line includes Part B expenditures, from 1993–2002.
Exhibit 4
Exhibit 4. The Change in Survival and the Change in Medicare Expenditures by Hospital Referral Regions: 1986–2002
Legend: Each dot represents a hospital referral region (HRR) with at least 250 individuals experiencing a heart attack in 1986. (N = 56) The sample is the elderly (65+) fee-for-service Medicare population, and both survival rates and expenditures are adjusted for age, sex, rate, comorbidities, and the severity of the heart attack.
Exhibit 5
Exhibit 5
Exhibit 5A: Association of Regional Quality of Care for AMI with Changes in Survival and Expenditures, 1986–2002 Exhibit 5B: Association of Average Number of Physicians Per AMI Patient (Quartiles) with Changes in Survival and Expenditures 1986–2002 Notes: Each bar shows the impact on the dependent variable (the change in dollar expenditures) of a shift from the 10th to the 90th percentile for each variable in a multiple regression framework. Ninety-five percent confidence intervals shown by whiskers.
Exhibit 5
Exhibit 5
Exhibit 5A: Association of Regional Quality of Care for AMI with Changes in Survival and Expenditures, 1986–2002 Exhibit 5B: Association of Average Number of Physicians Per AMI Patient (Quartiles) with Changes in Survival and Expenditures 1986–2002 Notes: Each bar shows the impact on the dependent variable (the change in dollar expenditures) of a shift from the 10th to the 90th percentile for each variable in a multiple regression framework. Ninety-five percent confidence intervals shown by whiskers.
Exhibit 6
Exhibit 6. Technological Change in the Treatment of Heart Attacks: A Graphical Analysis

Comment in

  • Making sense of medical technology.
    Cutler DM. Cutler DM. Health Aff (Millwood). 2006 Mar-Apr;25(2):w48-50. doi: 10.1377/hlthaff.25.w48. Epub 2006 Feb 7. Health Aff (Millwood). 2006. PMID: 16464902
  • To use technology better.
    Garber AM. Garber AM. Health Aff (Millwood). 2006 Mar-Apr;25(2):w51-3. doi: 10.1377/hlthaff.25.w51. Epub 2006 Feb 7. Health Aff (Millwood). 2006. PMID: 16464903

References

    1. See Cutler DM, McClellan M. Is Technological Change in Medicine Worth It? Health Affairs. 2001 Sept/Oct;:11–29.Cutler DM. Your Money or Your Life: Strong Medicine for America's Health Care System. New York: Oxford University Press; 2004. The pioneering study is Cutler DM, et al. Are Medical Prices Declining? Evidence from Heart Attack Treatments. Quarterly Journal of Economics. 1998 November;113(4):991–1024.

    1. The typical hurdle for cost-effectiveness studies is $50,000 to $100,000 per life year, with some authors arguing that society places even greater value on life-years. See Hirth RA, Chernew ME, Fendrick M. What is the Price of Life and Why Doesn’t It Increase at the Rate of Inflation? Archives of Internal Medicine. 2003 July 28;163(14):1637–1641.

    1. Also see Berndt ER, et al. The Medical Treatment of Depression, 1991–1996: Productive Inefficiency, Expected Outcome Variations and Price Indexes. Journal of Health Economics. 2002;21(3):373–396.Lichtenberg F. The Expanding Pharmaceutical Arsenal in the War on Cancer. In: Murphey Kevin, Robert Topel., editors. Measuring the Gains from Medical Research: An Economic Approach. Chicago: University of Chicago Press; 2003. NBER Working Paper No. 10328 (February 2004), and papers.

    1. Fisher ES, et al. The Implications of Regional Variations in Medicare Spending. Part 1: The Content, Quality, and Accessibility of Care. Annals of Internal Medicine. 2003 February 18;138(4):283–287. and The Implications of Regional Variations in Medicare Spending. Part 2: Health Outcomes and Satisfaction With Care” Annals of Internal Medicine 138 No. 4 (February 18, 2003): 288–299. For a formal instrumental variables analysis, see Jonathan Skinner, Fisher Elliott, Wennberg John. The Efficiency of Medicare. In: Wise D, editor. Analyses in the Economics of Aging. Chicago: University of Chicago Press and NBER; 2005. p. 157.

    1. Amitabh Chandra, Baicker Katherine. Medicare Spending and the Quality of Care Received by Medicare Beneficiaries. Health Affairs. 2004 April 7;:W4:184–W4:197. web exclusive. - PubMed

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