U.S. Health Care Spending: Comparison with Other OECD Countries



Order Code RL34175
U.S. Health Care Spending:
Comparison with Other OECD Countries
September 17, 2007
Chris L. Peterson and Rachel Burton
Domestic Social Policy Division

U.S. Health Care Spending:
Comparison with Other OECD Countries
Summary
The United States spends more money on health care than any other country in
the Organization for Economic Cooperation and Development (OECD). The OECD
consists of 30 democracies, most of which are considered the most economically
advanced countries in the world. According to OECD data, the United States spent
$6,102 per capita on health care in 2004 — more than double the OECD average and
19.9% more than Luxembourg, the second-highest spending country. In 2004, 15.3%
of the U.S. economy was devoted to health care, compared with 8.9% in the average
OECD country and 11.6% in second-placed Switzerland.
Why does the United States spend this amount on health care? Economists
break health care spending into two parts: price and quantity (which includes the
number of visits to health care providers and the intensity of those visits). In terms
of quantity, OECD data indicate that the United States has far fewer doctor visits per
person compared with the OECD average; for hospitalizations, the United States
ranks well below the OECD and is roughly comparable in terms of length of hospital
stays. The intensity of service delivery is a different story: the United States uses
more of the newest medical technologies and performs several invasive procedures
(such as coronary bypasses and angioplasties) more frequently than the average
OECD country. In terms of price, the OECD has stated that “there is no doubt that
U.S. prices for medical care commodities and services are significantly higher than
in other countries and serve as a key determinant of higher overall spending.”
What does the United States get for the money it spends? Said slightly
differently, does the United States get corresponding value from the money it spends
on health care? The available data often do not provide clear answers. For example,
among OECD countries in 2004, the United States had shorter-than-average life
expectancy and higher-than-average mortality rates. Does this mean that the U.S.
system is inefficient in light of how much is spent on health care? Or does this
reflect the greater prevalence of certain diseases in the United States (the United
States has the highest incidence of cancer and AIDS in the OECD) and less healthy
lifestyles (the United States has the highest obesity rates in the OECD)? These are
some of the issues that confound international comparisons.
However, research comparing the quality of care has not found the United States
to be superior overall. Nor does the U.S. population have substantially better access
to health care resources, even putting aside the issue of the uninsured. Although the
United States does not have long wait times for non-emergency surgeries, unlike
some OECD countries, Americans found it more difficult to make same-day doctor’s
appointments when sick and had the most difficulty getting care on nights and
weekends. They were also most likely to delay or forgo treatment because of cost.
The OECD data and other research provide some insight as to why health care
spending is higher in the United States than in other countries, although many
difficult research issues remain. This report presents some of the available data and
research and concludes with a summary of study findings.

Contents
How Much Does the United States Spend on Health Care? . . . . . . . . . . . . . . . . . 1
Why Does the United States Spend So Much on Health Care? . . . . . . . . . . . . . . . 4
Volume: Do Americans Use Health Care More Often? . . . . . . . . . . . . . . . . 5
Intensity: When Americans Receive Care, Is It More Involved? . . . . . . . . . . 8
Intensity of Hospitalizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8
Intensity of Doctor Visits . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
Intra-national Variation in Intensity . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
Price: Do Americans Pay More for Health Care Services? . . . . . . . . . . . . . 16
Salaries of Health Professionals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17
Price of Medical Equipment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19
Price of Medical Procedures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Price of Pharmaceuticals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Health Care Spending by Type of Service . . . . . . . . . . . . . . . . . . . . . . . . . . 28
What Spurs Health Care Prices and Utilization? . . . . . . . . . . . . . . . . . . . . . . . . . 31
Factors that Affect Demand . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Health . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 31
Age Structure of the Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
Income . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Insurance . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33
Tax Treatment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
Tastes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
Weak Bargaining Power . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 38
Factors that Affect Supply . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Supplier-Induced Demand . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39
Specialist Care Emphasis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Defensive Medicine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
Structure of Health System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
What Does the United States Get for Its Health Care Spending? . . . . . . . . . . . . 45
Wait Times . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
Self-Reported Health Status . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
Life Expectancy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
Mortality Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48
Medical Errors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Infant Mortality Rates . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 52
Does the United States Spend “Too Much” on Health Care? . . . . . . . . . . . . . . . 55
Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Summary of Findings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Total Spending . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Health Care Resources . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Pharmaceuticals . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 58
Health Administration and Insurance . . . . . . . . . . . . . . . . . . . . . . . . . 59
Prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59

Population Risk Factors . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Quality . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Wait Times . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 59
Health Outcomes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 60
List of Figures
Figure 1. Health Care Spending per Capita, 2004 . . . . . . . . . . . . . . . . . . . . . . . . 3
Figure 2. Health Care Spending per Capita and GDP per Capita, 2004 . . . . . . . . 4
Figure 3. Hospital Utilization, for All Causes and for Circulatory
Conditions, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
Figure 4. Doctor Visits per Capita, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
Figure 5. Average Length of Acute Care Hospital Stay, Number of
Days, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9
Figure 6. Average Length of Hospital Stay Following Heart Attack, 2003 . . . . 10
Figure 7. Average Length of Hospital Stay Following Normal
Childbirth, 2003 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10
Figure 8. Percentage of Live Births that Are Caesarean Sections, 2003 . . . . . . . 13
Figure 9. Rate (per 100,000 population) of Coronary Revascularization
Procedures, 2003 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13
Figure 10. Number of Staff per Acute Care Hospital Bed, 2003 . . . . . . . . . . . . 14
Figure 11. Number of Nurses per Acute Care Hospital Bed, 2003 . . . . . . . . . . . 14
Figure 12. Number of CT Scanners per 1,000,000 Population, 2004 . . . . . . . . . 15
Figure 13. Number of MRI Units per 1,000,000 Population, 2004 . . . . . . . . . . 15
Figure 14. Specialist Compensation and GDP per Capita
(in U.S. $1,000s), 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
Figure 15. Practicing Physicians per 1,000 Population, 2004 . . . . . . . . . . . . . . . 21
Figure 16. International Prescription Drug Prices as a Percentage of
U.S. Prices, 1999 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
Figure 17. International Pharmaceutical Consumption as a Percentage of
U.S. Consumption, for 249 Leading U.S. Molecules, 1999 . . . . . . . . . . . . 26
Figure 18. Pharmaceutical Spending per Capita, 2004 . . . . . . . . . . . . . . . . . . . . 27
Figure 19. Pharmaceutical Spending as a Percentage of Total Health
Spending, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
Figure 20. Health Administration and Insurance Costs, 2004 . . . . . . . . . . . . . . 30
Figure 21. Percentage of Health Care Costs Paid Out-of-Pocket, 2004 . . . . . . . 36
Figure 22. Acute Care Hospital Beds per 1,000 Population, 2004 . . . . . . . . . . . 46
Figure 23. Health Spending per Capita and Self-Reported Health
Status, 2004 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49
Figure 24. Health Spending per Capita and Life Expectancy, 2004 . . . . . . . . . . 50
Figure 25. Deaths from Medical Errors per 100,000 Population, 2004 . . . . . . . . 53
Figure 26. Infant Mortality Rates per 1,000 Live Births, 2004 . . . . . . . . . . . . . . 54
Figure 27. Annual “Excess Growth” (Growth Not Attributable to
Demographic or Economic Changes) in Health Spending per Capita,
1970-1985 and 1985-2002 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57
List of Tables
Table 1. Health Care Spending in OECD Countries, 2004 . . . . . . . . . . . . . . . . . . 2
Table 2. Average Compensation in Certain Health Professions, 2004
(Dollars in U.S. Purchasing Power Parities) . . . . . . . . . . . . . . . . . . . . . . . . 18

Table 3. Average Spending for Treatment of Patients Who Had a
Total Hip Arthroplasty . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22
Table 4. U.S. Health Care Expenditures per Capita, by Major Categories,
Compared with Reporting OECD Countries, 2004 . . . . . . . . . . . . . . . . . . . 28
Table 5. Life Expectancy and Mortality Rates, 2004 . . . . . . . . . . . . . . . . . . . . . . 51

U.S. Health Care Spending:
Comparison with Other OECD Countries
How Much Does the United States Spend on
Health Care?
In 2004, health care spending in the United States averaged $6,102 per person,
according to data from the Organization for Economic Cooperation and Development
(OECD). The OECD consists of 30 democracies (listed in Table 1), most of which
are considered to be the most economically advanced countries in the world.1
As shown in Figure 1 and Table 1, U.S. per capita health care spending was
well over double the average of OECD countries, which was $2,560 in 2004. Health
care made up 15.3% of the U.S. economy in 2004, as measured by Gross Domestic
Product (GDP) — up from 5.1% of GDP in 1960. No other OECD country devotes
as much of its economy to health care, also shown in Table 1.
Figure 2 shows the relationship between health care spending and GDP. The
trendline in the figure suggests, based on a simple bivariate comparison, that 90% of
the variation in health care spending across the 30 OECD countries may be
attributable to GDP per capita. The two outliers are Luxembourg and the United
States. Luxembourg appears below the trendline because of its high GDP per capita,
which is inflated by its international financial services.2 The United States appears
above the trendline because of its high health care spending; specifically, U.S. health
care spending per capita is 60% higher than might be expected, based on GDP. U.S.
health care spending is high, even when taking into account how rich the country is.
The next section of this report examines the volume, intensity, and price of U.S.
health care and assesses the potential impact of each on U.S. spending. The
following section discusses some structural causes affecting health care spending,
such as the underlying health of countries’ populations, which may be partially linked
to demographics. Although such structural factors can affect health care spending
substantially, quantifying that impact for international comparisons is difficult.
1 The OECD Health Data 2006, from October 2006, provides much of the data for this
report. Most of the data in this report are from 2004, the most recent year in which most
countries provided data. For more information about the OECD, see CRS Report RS21128,
The Organization for Economic Cooperation and Development, by James K. Jackson.
Unless otherwise noted, the United States is included when calculating OECD averages.
2 Uwe Reinhardt et al., “U.S. Health Care Spending in an International Context,” Health
Affairs
, vol., 23, no. 3, May/June 2004, p. 24, available at [http://content.healthaffairs.org/
cgi/reprint/23/3/10.pdf].

CRS-2
Finally, this report looks into the questions of what the United States gets for its
health care spending and whether it spends “too much.”
Table 1. Health Care Spending in OECD Countries, 2004
Health care spending
Health care
per capita, as a
Health care
Percentage of
spending per
percentage of U.S.
spending as a
GDP per
health care
Country
capita
amount
percentage of GDP
capita
publicly financed
United States
$6,102
100.0%
15.3%
$39,772
44.7%
Luxembourg
$5,089
83.4%
8.0%
$63,453
90.4%
Switzerland
$4,077
66.8%
11.6%
$35,149
58.4%
Norway
$3,966
65.0%
9.7%
$40,715
83.5%
Iceland
$3,331
54.6%
10.2%
$32,527
83.4%
Canada
$3,165
51.9%
9.9%
$31,828
69.8%
France
$3,159
51.8%
10.5%
$29,945
78.4%
Austria
$3,124
51.2%
9.6%
$32,519
70.7%
Australia
$3,120
51.1%
9.6%
$32,573
67.5%
Belgium
$3,044
49.9%
10.1%
$31,381
71.1%
Germany
$3,043
49.9%
10.6%
$28,816
76.9%
Netherlands
$3,041
49.8%
9.2%
$32,978
62.3%
Denmark
$2,881
47.2%
8.9%
$32,304
82.9%
Sweden
$2,825
46.3%
9.1%
$31,139
84.9%
Ireland
$2,596
42.5%
7.1%
$36,479
79.5%
United Kingdom
$2,508
41.1%
8.1%
$30,822
86.3%
Italy
$2,467
40.4%
8.7%
$28,352
75.1%
Japan
$2,249
36.9%
8.0%
$29,567
81.5%
Finland
$2,235
36.6%
7.5%
$29,778
76.6%
Greece
$2,162
35.4%
10.0%
$21,586
52.8%
Spain
$2,094
34.3%
8.1%
$25,875
70.9%
New Zealand
$2,083
34.1%
8.4%
$24,744
77.4%
Portugal
$1,824
29.9%
10.1%
$18,125
73.2%
Czech Republic
$1,361
22.3%
7.3%
$18,634
89.2%
Hungary
$1,276
20.9%
8.0%
$15,948
71.9%
Korea
$1,149
18.8%
5.6%
$20,668
51.4%
Poland
$805
13.2%
6.5%
$12,409
68.6%
Slovak Republic
$777
12.7%
5.9%
$14,060
88.3%
Mexico
$662
10.8%
6.5%
$10,242
46.4%
Turkey
$580
9.5%
7.7%
$7,562
72.1%
AVERAGE
$2,560
42.0%
8.9%
$27,998
72.9%

excluding U.S.
$2,438
39.9%
8.6%
$27,592
73.8%
Median
$2,552
41.8%
8.8%
$29,862
74.2%
Source: OECD Health Data 2006 (October 2006), with Congressional Research Service calculations.
Notes: GDP is Gross Domestic Product. Dollars are adjusted using U.S. dollar purchasing power
parities, which convert currency from different countries into a common U.S. currency and equalize
the purchasing power of different currencies. Health care spending per capita and spending as a
percentage of GDP are based on estimates or prior-year spending for 15 countries (Belgium, Canada,
Czech Republic, Denmark, France, Greece, Iceland, Japan, Luxembourg, Netherlands, Portugal,
Slovak Republic, Spain, Sweden, and Switzerland). Data on the percentage of health care publicly
financed in Denmark is from 2002. More information on the sources and methodology of country-
specific health expenditure and finance data is available online at [http://www.irdes.fr/ecosante/OCDE/
500.html].












































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-3
Figure 1. Health Care Spending per Capita, 2004
United States
$6,102
Luxembourg
$5,090
Switzerland
$4,077
Norway
$3,966
Iceland
$3,331
Canada
$3,165
France
$3,158
Austria
$3,123
Australia
$3,121
Germany
$3,043
Netherlands
$3,038
Belgium
$3,023
Sweden
$2,825
Denmark
$2,656
Ireland
$2,596
AVERAGE
$2,552
United Kingdom
$2,508
Italy
$2,467
Japan
$2,249
Finland
$2,235
Greece
$2,162
Spain
$2,094
New Zealand
$2,083
Portugal
$1,823
Czech Republic
$1,362
Hungary
$1,281
Korea
$1,149
Poland
$805
Slovak Republic
$778
Mexico
$662
Turkey
$580
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
Public
Private Health Insurance and Out-of-Pocket Payments
Source: OECD Health Data 2006 (October 2006).
Notes: Average per capita spending does not exactly match the amount in Table 1 due to the use of
data from different years for a few countries and other methodological issues. Dollars are adjusted
using U.S. dollar purchasing power parities. Health care spending is based on estimates or on a
previous year’s spending for 15 countries: for Canada, the Czech Republic, France, Greece, Iceland,
Luxembourg, the Netherlands, Portugal, Spain, Sweden, and Switzerland, the numbers are 2004
estimates; for Belgium, Japan, and the Slovak Republic, the numbers are from 2003; and for Denmark,
the numbers are from 2002. More information on the sources and methodology of country-specific
health expenditure and finance data is available online [http://www.irdes.fr/ecosante/OCDE/500.html].

CRS-4
Figure 2. Health Care Spending per Capita and GDP per Capita, 2004
$8,000
$7,000
United States
$6,000
ita
r cap $5,000
e
Luxembourg
p
g
in
d
$4,000
en
sp
e

$3,000
car
th

eal
H
$2,000
$1,000
$0
$0
$10,000
$20,000
$30,000
$40,000
$50,000
$60,000
$70,000
GDP per capita
Source: Congressional Research Service (CRS) analysis of OECD Health Data 2006 (October 2006).
Notes: Health care spending is based on estimates or on prior-year spending for Belgium, Canada,
Czech Republic, Denmark, France, Greece, Iceland, Japan, Luxembourg, Netherlands, Portugal,
Slovak Republic, Spain, Sweden and Switzerland). More information on the sources of country-
s p e c i f i c e x p e n d i t u r e a n d f i n a n c e d a t a i s a v a i l a b l e o n l i n e
[http://www.irdes.fr/ecosante/OCDE/500.html]. GDP is Gross Domestic Product. The R-squared for
this trendline is 0.90.
Why Does the United States Spend So Much on
Health Care?
The standard economic approach to analyzing health care spending is to break
it into two parts — price and quantity — because spending is calculated by
multiplying the volume of units purchased by the unit price. However, health care
spending is more complicated because for a particular “unit” (e.g., a hospital
admission or a doctor visit ), total spending will vary by the intensity of care. For
example, two hospitals may charge the same price for particular services. Following
a heart attack, when individuals are admitted to the hospitals, total spending is going
to vary according to the intensity of care — whether patients undergo expensive
surgeries or are simply given certain medications and monitored. To understand U.S.

CRS-5
health care spending in an international context, this section examines the volume (or
utilization) of certain types of health care, the intensity of care, and the price of care.
Volume: Do Americans Use Health Care More Often?
When comparing U.S. utilization of hospital care with other OECD countries,
the United States is well below the average. As shown in Figure 3, the United States
experienced 121 hospital discharges per 1,000 people in 2004, compared with the
OECD average of 161. One possible explanation for the low U.S. utilization of
hospital care is that services that are available in outpatient settings in the United
States are available only in inpatient hospital settings in some European countries.
Diseases of the circulatory system were the largest single cause of
hospitalizations in the OECD, accounting for 13% of all discharges. The United
States had the highest proportion of hospital discharges because of diseases of the
circulatory system (17%). Although the U.S. proportion was the highest in the
OECD, the U.S. number of hospitalizations for circulatory-system diseases per 1,000
people in the population (21 per 1,000 people) was the same as the OECD average
(as shown in the right-hand portion of Figure 3). This is because of the low U.S.
hospitalization utilization generally.
In 2004, physician services made up 22% of U.S. health care spending, second
only to hospital care. When comparing per capita doctor visits in 27 OECD
countries, the United States is the seventh lowest consumer of doctor visits, as shown
in Figure 4.3 Among the four countries with the highest overall spending after the
United States — Luxembourg, Switzerland, Norway and Iceland — their average
number of doctor visits was also below the OECD average. Countries with higher
rates of doctor visits tended to have lower overall health spending. The number of
doctor visits per capita may be influenced by whether patients are required to get a
referral in order to see a specialist; in the United States, such “gatekeeping,” has
subsided in recent years, whereas some European countries rely on this practice a
great deal.
The next-largest component of health care spending in the United States in 2004
was prescription drugs. According to the OECD data, the United States spent
roughly twice as much on prescription drugs ($752 per person) as the average OECD
country in 2004 (Figure 18). But because overall health spending per capita is even
higher than in the average OECD country, prescription drugs ended up comprising
a smaller portion of total U.S. health spending (12.3%) compared with the OECD
average (17.8%) (Figure 19).
3 The OECD defines per capita doctor visits as ambulatory contacts with physicians (both
generalists and specialists) divided by the entire population. The number of contacts
normally includes visits of patients at the physician’s office, in primary care clinics and in
outpatient departments of hospitals, and visits made to the patient’s home.









































































































































































































































































































































































































































































































































































CRS-6
Figure 3. Hospital Utilization, for All Causes and for Circulatory Conditions, 2004
Austria
303
40
269
France
23
263
Hungary
46
258
Finland
37
235
United Kingdom
19
229
Czech Republic
36
201
Germany
32
189
Slovak Republic
29
174
Luxembourg
24
174
Poland
28
173
Norway
25
170
Iceland
17
169
Greece
23
169
Denmark
22
161
AVERAGE
21
160
Sweden
26
159
Belgium
22
158
Australia
17
157
Switzerland
17
140
Italy
23
134
New Zealand
14
121
United States
21
111
Korea
9
109
Spain
14
104
Ireland
13
102
Japan
13
102
Netherlands
15
90
Portugal
12
88
Canada
13
84
Turkey
12
42
Mexico
2
350
300
250
200
150
100
50
0
0
10
20
30
40
50
All hospital discharges
Hospital discharges for circulatory diseases
per 1,000 people
per 1,000 people
Source: OECD Health Data 2006 (October 2006).
Notes: Sorted by hospital utilization for all causes. Circulatory conditions include acute myocardial infarction (heart attack), angina pectoris,
hypertensive diseases, and cerebrovascular diseases affecting blood flow to the brain. Data are from a previous year for 11 countries: for Belgium,
Canada, Denmark, Germany, Italy, Mexico, Spain, and the United States, the data are from 2003; for Japan and Korea, the data are from 2002; and
for Greece, the data are from 2000.









































































































































































































































































































CRS-7
Figure 4. Doctor Visits per Capita, 2004
Japan
13.8
Czech Republic
13.1
Hungary
12.6
Slovak Republic
11.9
Korea
10.6
Spain
9.5
Belgium
7.6
Denmark
7.5
Germany
7.3
AVERAGE
6.7
Austria
6.7
France
6.7
Poland
6.2
Canada
6.1
Italy
6.1
Luxembourg
6.1
Australia
6.0
Iceland
5.6
Netherlands
5.3
United Kingdom
5.3
Finland
4.2
United States
3.9
Portugal
3.8
Switzerland
3.4
New Zealand
3.2
Turkey
3.1
Sweden
2.9
Mexico
2.5
0
2
4
6
8
10
12
14
16
Source: OECD Health Data 2006 (October 2006).
Notes: The OECD defines doctor visits per capita as ambulatory contacts with physicians (both
generalists and specialists) divided by the entire population. The number of contacts normally includes
visits by patients to physicians’ offices, primary care clinics, outpatient departments of hospitals, and
visits made by a physician to a patient’s home. Numbers are from a previous year for 12 countries:
for Japan, Spain, France, Canada, the United States, and New Zealand, the data are from 2003; for
Korea and Switzerland, the data are from 2002; for Iceland and Sweden, the data are from 2001; and
for Germany and Italy, the data are from 2000. Recent data are only available for 27 of the 30 OECD
countries. Greece, Ireland and Norway are not included.

CRS-8
Intensity: When Americans Receive Care, Is It More Involved?
The intensity of health care refers to the amount of resources used in a given
health care encounter. For example, when similarly situated people are admitted to
the hospital for a given condition, how many days do they remain in the hospital?
How many tests do they undergo? Are the ancillary services costly? Do they require
highly trained personnel? Do patients undergo surgery? Are those surgeries
resource-intensive? Even when facilities charge the same price for services, the
quantity of services provided during a health care encounter can have a huge impact
on total spending.
Quantifying and comparing the intensity of health care, particularly across
countries, is not simple. Ideally, one would compare the intensity of care (1) for
similarly situated people, (2) for each type of health care event, and (3) according to
the cause of the event. Some countries have a much older population that may
require more intense care. Countries may also vary in terms of the prevalence of
certain diseases in their populations. Moreover, intensity should be assessed by
differentiating the cause of the health care event. For example, two similarly situated
women may be admitted to a hospital, but if one is coming for normal childbirth and
the other is coming for a heart transplant, the intensity of that hospital visit will be
quite different. In the absence of such detailed data, the available aggregate measures
(though less than ideal) are generally used.
Intensity of Hospitalizations. One indicator of intensity is average length
of acute care hospital stay, shown in Figure 5.4 Such a measure does not control for
how the populations vary, nor for the causes of those hospitalizations. Some analysts
prefer to use this measure as an indicator of efficiency — that shorter stays mean less
health care spending. However, the services provided in those shorter stays could be
much more intense compared with places where length of stays are longer. Thus,
length of stay is far from an ideal measure of either intensity or efficiency.
Moreover, if hospital stays are too short (that is, if sufficient inpatient treatment was
not provided), then adverse health outcomes may result, along with potentially more
health care spending. In 2004, the average length of a hospital stay in the United
States was the same as the OECD average of 5.6 days.
Figure 6 shows the average length of stay following a heart attack (acute
myocardial infarction). The United States average, 5.5 days, was the lowest in the
OECD. Figure 7 shows the average length of stay for normal childbirth delivery.
The United States had the third-lowest rate, 1.9 days — much shorter than the OECD
average of 3.6 days.5 In the absence of information about the price or quantity of the
4 Acute care refers to curative care, typically provided in hospitals. The other type of
hospital care measured in OECD data is long-term care, usually provided in nursing homes.
5 In the OECD data, the United States ranked near or at the bottom in terms of its average
length of hospital stays for most diagnostic categories. The notable exceptions were for
perinatal conditions (e.g., conditions requiring care in a neo-natal intensive care unit
(NICU)), in which the U.S. ranked 7th, and congenital abnormalities, in which the U.S.
ranked 10th. Although the United States had the seventh-highest length of hospital stay for
(continued...)













































































































































































































CRS-9
services provided during hospital stays, the lower than average hospital utilization
and lengths of stay would suggest lower than average spending, which is not the case.
Figure 5. Average Length of Acute Care Hospital Stay, Number of
Days, 2004
Japan
20.2
K orea
10.6
Germ any
8.7
S witz erland
8.7
Cz ec h Republic
8.1
S lovak Republic
7.7
Netherlands
7.4
B elgium
7.3
Canada
7.3
Lux em bourg
7.3
P ortugal
7.0
S pain
6.9
Italy
6.8
P oland
6.6
United K ingdom
6.6
Hungary
6.5
Ireland
6.5
Greec e
6.2
A us tralia
6.1
A us tria
6.1
A V E RA GE
5.6
Ic eland
5.6
United S tates
5.6
Franc e
5.5
Norway
5.2
Turk ey
5.2
New Zealand
4.9
Finland
4.7
S weden
4.7
M ex ic o
3.9
Denm ark
3.4
0
5
10
15
20
25
Source: OECD Health Data 2006 (October 2006).
Notes: Acute care is curative care generally provided in a hospital (as opposed to long-term care,
which is generally provided in a nursing home). Numbers are from previous years for 10 countries:
for Belgium, Italy, Korea, Mexico, Portugal, and Spain, the numbers are from 2003; for Turkey, the
numbers are from 2002; for the Netherlands, the numbers are from 2001; for Greece, the numbers are
from 2000; and for New Zealand, the numbers are from 1998. In Japan, most elderly patients
requiring long-term care receive it in hospitals instead of nursing homes.6
5 (...continued)
perinatal conditions, it had the fourth-lowest number of hospital discharges for these
conditions. In other words, the United States had relatively fewer individuals hospitalized
for perinatal conditions, but those who were hospitalized had relatively long stays.
6 Naoki Ikegami et al., “Applying RUG-III in Japanese long-term care facilities,” The
Gerontologist
, 1994, vol. 34, no. 5, pp. 628-639.



































































































































































































































































































































































































































































































































































CRS-10
Figure 6. Average Length of Hospital Stay
Figure 7. Average Length of Hospital Stay
Following Heart Attack, 2003
Following Normal Childbirth, 2003
Finland
11.9
Hungary
6.4
Austria
11.0
Slovak Republic
6.1
Ireland
11.0
Sw itzerland
5.8
Germany
10.0
Czech Republic
5.5
United Kingdom
9.7
Austria
5.4
Spain
9.5
Poland
4.8
Slovak Republic
9.4
Belgium
4.7
Poland
9.3
France
4.7
Netherlands
9.2
Luxembourg
4.2
Sw itzerland
9.2
Germany
4.1
Portugal
8.9
Italy
3.7
Belgium
8.6
Norw ay
3.7
Hungary
8.6
Finland
3.6
Italy
8.6
AVERAGE
3.6
AVERAGE
8.3
Denmark
3.2
Iceland
7.9
Australia
2.8
Canada
7.8
Portugal
2.7
Mexico
7.7
Spain
2.7
Luxembourg
7.5
Sw eden
2.5
Czech Republic
7.2
Iceland
2.3
France
7.0
Netherlands
2.3
New Zealand
6.9
New Zealand
2.1
Australia
6.4
Mexico
2
Norw ay
5.9
Canada
1.9
Sw eden
5.9
United States
1.9
Denmark
5.8
Turkey
1.7
United States
5.5
United Kingdom
1.6
0
2
4
6
8
10
12
14
0
1
2
3
4
5
6
7
Source: OECD Health Data 2006 (October 2006).
Notes: Data from 2003 are available for only 26 of the 30 OECD countries.

CRS-11
Although U.S. hospital stays are generally fewer and shorter, the services
provided during those stays may be particularly intensive. Some evidence suggests
this is the case. Figure 8 shows that the United States has the fifth-highest rate of
caesarean section childbirths. In addition, the United States has one of the top five
highest rates of performing organ transplants — another particularly intensive type
of procedure — for all but one type of organ.7
For all four types of heart procedures on which the OECD collects data, the
United States consistently has one of the top five highest rates of performing such
procedures. Figures 9 illustrates the use of two intensive surgical coronary
revascularization procedures — coronary artery bypass grafts (CABGs) and coronary
angioplasties (PTCAs). In 2003, these procedures were performed on 587 out of
100,000 people in the United States — more than double the OECD average.
That said, cross-national comparisons do not always indicate consistently high
levels of U.S. service intensity. The United States ranks 2nd in its rate of knee
replacements but 15th in its rate of hip replacements. The United States performed
more procedures than the OECD median for six conditions in 2003, but fewer
procedures than the OECD median for four other conditions.8
For acute care hospitalizations, other broad measures of intensity are the number
of staff and the number of nurses per hospital bed. In 2003, the United States
averaged five staff members for each occupied acute care hospital bed. This is 61%
greater than the OECD average and second only to the United Kingdom (6.5 staff per
bed), as shown in Figure 10.9 When looking at the rate of nurses per occupied bed,
the United States is closer to the OECD average, as shown in Figure 11.
Although the intensity of hospitalizations in the United States (measured by
number of staff per bed and number of intensive procedures performed) tends to be
above the OECD average, it rarely ranks first. The exceptions are coronary
revascularization procedures and kidney transplants. For the coronary procedures in
particular, not only did the United States rank first, but the rates of these procedures
were far greater than any other OECD country.
7 The exception is lung transplants, for which the United States was ranked ninth among
reporting OECD countries in 2003 in terms of the number of transplants performed per
100,000 people in the population.
8 The conditions that the United States performed more frequently were coronary
angioplasties (including stenting), coronary bypass grafts, cardiac catheterizations,
implanting pacemakers, hysterectomies, and knee replacements. The conditions that the
United States performed less frequently were appendectomies, prostatectomy, hip
replacements, and mastectomies. The United States performed more organ transplants than
the OECD median for all six types of transplants: bone marrow, heart, liver, lung, kidney,
and functioning kidney. Medians are used in these cases because single outlier cases
substantially skew the averages.
9 Note that some countries calculate this measure based on number of full-time equivalent
staff, while others use a head count. Data for the United States use full-time equivalent
staff, but do not match the OECD definition.

CRS-12
Other important measures of hospital care intensity are usage rates of resource-
intensive technologies. International comparisons of the usage of technologies such
as computerized tomography (CT) scanners and magnetic resonance imaging units
(MRIs) are not available. However, the OECD data include information on the
prevalence of these technologies, which may indicate their usage. The United States
has nearly twice as many CT scanners (Figure 12) and three times as many MRI
machines (Figure 13) per capita as the OECD average. In fact, the United States has
the second-highest number of both CT scanners and MRI machines per population
in the OECD, second only to Japan, where low reimbursement rates have driven the
development and widespread adoption of inexpensive versions of these machines.10
Widespread use of advanced medical technology can contribute to higher health
spending in a number of ways: through the cost of the equipment or machines
themselves; by keeping people alive longer and thereby increasing the opportunity
for them to use health care; through eventual expansions in the populations being
treated with these technologies; and because competition between hospitals can lead
to an oversupply of machines, which in turn can lead to increases in health
spending.11
Intensity of Doctor Visits. The number of doctor visits per capita in the
United States was well below the OECD average in 2004 (Figure 4), yet the United
States spent much more per capita on outpatient care than any other OECD country.
The United States spent $2,668 per capita on outpatient care alone in 2004 — three-
and-a-half times the OECD average and twice as much as the second-highest spender
in this category. As mentioned earlier, this discrepancy could be partially due to the
tendency to provide more types of procedures in outpatient settings in the United
States compared with many other OECD countries.
10 Naoki Ikegami and John Creighton Campbell, “Japan’s Health Care System: Containing
Costs and Attempting Reform,” Health Affairs, May/June 2004, vol. 23, no. 3, pp. 26-36,
available at [http://content.healthaffairs.org/cgi/reprint/23/3/26].
11 James Lubitz, “Health, Technology, And Medical Care Spending,” Health Affairs, Web
exclusive, September 26, 2005, pp. W5-R81-W5-R85, available at
[http://content.healthaffairs.org/cgi/reprint/hlthaff.w5.r81v1.pdf].

























































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-13
Figure 8. Percentage of Live Births that Are
Figure 9. Rate (per 100,000 population) of
Caesarean Sections, 2003
Coronary Revascularization Procedures, 2003
Italy
37%
United States
587
Mexico
36%
Germany
357
Portugal
29%
AVERAGE
332
Australia
28%
Hungary
315
AVERAGE
28%
Norw ay
305
United States
28%
Iceland
269
Luxembourg
26%
Luxembourg
258
Hungary
25%
Australia
231
Sw itzerland
25%
Denmark
217
Germany
25%
Ireland
208
Canada
25%
MEDIAN
207
Spain
24%
Sw eden
207
New Zealand
22%
Finland
194
Austria
22%
Spain
188
United Kingdom
22%
New Zealand
187
Denmark
19%
United Kingdom
154
Slovak Republic
19%
Iceland
18%
Netherlands
145
Sw eden
17%
Italy
139
Norw ay
16%
Sw itzerland
115
Czech Republic
15%
Portugal
88
Netherlands
14%
Mexico
4
0%
10%
20%
30%
40%
50%
0
100
200
300
400
500
600
700
Source: OECD Health Data 2006 (October 2006).
Note: Coronary revascularization procedures are coronary artery bypass grafts (CABGs) and coronary angioplasties (PTCAs) and stenting.
Caesarean section data from 2003 are available only for 21 of the 30 OECD countries. Coronary revascularization data from 2003 are available
only for 19 of the 30 OECD countries. In Figure 9, the median (207) is also shown because the average (332) is so skewed by the U.S. rate.

































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-14
Figure 10. Number of Staff per Acute Care
Figure 11. Number of Nurses per Acute Care
Hospital Bed, 2003
Hospital Bed, 2003
United Kingdom
6.5
Mexico
2.1
United States
5.0
United Kingdom
1.8
Norway
4.4
Spain
1.7
Canada
4.2
Norway
1.6
Mexico
3.9
Australia
1.5
Ireland
3.7
Ireland
1.5
Spain
3.6
United States
1.4
Switzerland
3.5
Italy
1.4
Switzerland
1.3
AVERAGE
3.1
AVERAGE
1.1
Italy
3.1
Portugal
0.9
Australia
2.7
Belgium
0.9
Austria
2.2
Hungary
0.8
Germany
2.0
Austria
0.8
Luxembourg
1.9
Germany
0.8
France
1.6
Luxembourg
0.7
Hungary
1.5
Slovak Republic
0.6
Portugal
1.5
France
0.5
Belgium
1.1
Czech Republic
0.5
0
1
2
3
4
5
6
7
0.0
0.5
1.0
1.5
2.0
2.5
Source: CRS analysis of OECD Health Data 2006 (October 2006).
Notes: Numbers may not be directly comparable because some countries calculate using Full Time Equivalent staff, whereas others use headcounts.
Data on staff per bed from 2003 are available for only 17 of the 30 OECD countries. Data on nurses per bed from 2003 are available for only 18
of the 30 OECD countries.




















































































































































































































































































































































































































































































































































































































































































































































































































































CRS-15
Figure 12. Number of CT Scanners per 1,000,000
Figure 13. Number of MRI Units per 1,000,000
Population, 2004
Population, 2004
Japan
92.6
Japan
35.3
United States
32.2
United States
26.6
Korea
31.5
Iceland
20.5
Belgium
29.8
Austria
14.9
Luxembourg
28.8
Switzerland
14.3
Austria
28.5
Finland
14
Italy
20.6
Luxembourg
11.1
Korea
11
AVERAGE
18.8
Denmark
10.2
Switzerland
17.9
Italy
10.2
Greece
17.1
AVERAGE
8.8
Iceland
17.1
Spain
7.7
Germany
15.4
Belgium
6.8
Denmark
14.6
Germany
6.6
Finland
14.2
United Kingdom
5
Spain
13.3
Canada
4.9
Portugal
12.8
Portugal
3.9
Czech Republic
12.6
Australia
3.7
New Zealand
12.1
New Zealand
3.7
Canada
10.8
France
3.2
Slovak Republic
8.7
Turkey
3
France
7.5
Czech Republic
2.8
Turkey
7.3
Hungary
2.6
United Kingdom
7
Greece
2.3
Poland
6.9
Slovak Republic
2
Hungary
6.8
Poland
1.9
Mexico
3.1
Mexico
1.7
0
20
40
60
80
100
0
5
10
15
20
25
30
35
40
Source: OECD Health Data 2006 (October 2006).
Source: OECD Health Data 2006 (October 2006).
Notes: Data for Belgium, Portugal, the Slovak Republic, and Turkey are
Notes: Data for Belgium, New Zealand, Portugal, and the Slovak Republic
from 2003; data for Greece and Japan are from 2002. Data on CT scanners
are from 2003; data for Greece and Japan are from 2002. Data on MRI
from 2004 are available for only 25 of the 30 OECD countries.
machines from 2004 are available for only 26 of the 30 OECD countries.

CRS-16
Intra-national Variation in Intensity. It is necessary to note that there is a
major amount of variation in health care intensity within the United States. For
example, research by John Wennberg and his colleagues at Dartmouth College found
that “age-, sex-, and race-adjusted spending for traditional, fee-for-service (FFS)
Medicare in the Miami hospital referral region in 1996 was $8,414 — nearly two and
a half times the $3,341 spent that year in the Minneapolis region.”12 They ruled out
utilization of surgical procedures and price as the main drivers of these differences.
Instead, they concluded that “end-of-life care makes Miami truly exceptional:
Patients in their last six months of life see more physicians and spend more time in
intensive care than is the case virtually anywhere else.”13
Thus, to the extent that one concludes that U.S. spending levels are the highest
in the world because of the intensity of care, it should be noted that level of intensity
is not nationwide and is not consistently high for all services and for all similarly
situated individuals within the United States.
Price: Do Americans Pay More for Health Care Services?
As previously discussed, Americans do not lead the world in per capita doctor
visits or hospitalizations. When Americans receive health care services, they appear
to receive a higher-than-average amount of certain surgical procedures and advanced
medical technologies, but generally do not have the highest levels in the OECD. This
leaves price as the last remaining factor in the equation to explain the high level of
U.S. health care spending.
In assessing what drives the difference between U.S. health care spending and
the rest of the world, some leading health economists responded this way: “It’s the
prices, stupid.”14 Put more formally, a report from the OECD declared that “there is
no doubt that U.S. prices for medical care commodities and services are significantly
higher than in other countries and serve as a key determinant of higher overall
spending.”15
While there is little disagreement that prices are a “key determinant” of higher
U.S. health care spending, direct comparisons of international prices of health care
12 John E. Wennberg et al., “Geography and the Debate Over Medicare Reform,” Health
Affairs
, Web exclusive, February 13, 2002, pp. W96-W114, available at
[http://content.healthaffairs.org/cgi/reprint/hlthaff.w2.96v1.pdf].
13 Jonathan Skinner and John E. Wennberg, “Exceptionalism Or Extravagance? What’s
Different About Health Care In South Florida,” Health Affairs, Web exclusive, August 13
2003, pp. W3-372-W3-375, available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.
w3.372v1.pdf].
14 Gerard Anderson et al., “It’s the Prices, Stupid: Why The United States Is So Different
From Other Countries,” Health Affairs, May/June 2003, vol. 22, no. 3, pp. 89-105, available
at [http://content.healthaffairs.org/cgi/reprint/22/3/89.pdf].
15 Elizabeth Docteur et al., The US Health System: An Assessment and Prospective
Directions for Reform
, OECD Economics Department Working Paper No. 350, available
at [http://www.oecdwash.org/PDFILES/us_health_ecowp350.pdf].

CRS-17
goods and services are extremely difficult, requiring analysts to answer some vexing
methodological questions. For example, what index, among the various exchange
rates and purchasing power parities (PPPs), should be used for currency conversion?
Price comparisons are quite sensitive to these assumptions. What are the units to be
priced — for example, the average cost of an entire surgical procedure or the charges
for components of the procedure (hourly rate of the health professionals, charges for
equipment usage, etc.)? By choosing the former, intensity is inappropriately
subsumed into the “price”; however, the latter is difficult to ascertain for all the
components of the procedure. Certainly, such price information is rare in an
aggregate form that is comparable across multiple countries.
This section of the report presents some price comparisons of certain health care
goods and services. These comparisons are by no means exhaustive in covering the
entire health care system, and require some of the methodological caveats alluded to
earlier.
Salaries of Health Professionals. Standard economic theory teaches that
the production of any good or service requires labor and/or capital. Health care is
particularly labor-intensive, requiring the involvement of many individuals, including
numerous highly trained professionals such as doctors and nurses. Total health care
costs, therefore, will partly be a function of the price of labor — doctors’ and nurses’
salaries, for instance. As it turns out, U.S. health care professionals (specialists,
general practitioners, and nurses) are among the highest paid health professionals in
the world. As shown in Table 2, specialists are the third-highest paid, and general
practitioners and nurses are the highest paid within their profession among reporting
OECD countries.
It is necessary to note, however, that higher education in most of the OECD is
much less expensive (or even free) compared with the United States. As a result,
health care professionals in the rest of the OECD generally begin their careers with
considerably smaller educational debts compared with those in the United States. In
2006, 86.7% of new medical school graduates had outstanding educational loans,
with an average total educational debt of $129,943.16 Depending on how the
repayment is structured, the annual payments could be as low as $7,000 per year
(with payments over 30 years) or as high as $18,000 per year (with payments over 10
years).
16 Association of American Medical Colleges, “2006 Medical School Graduation
Questionnaire: All Schools Report, Final,” p. 49, available at [http://www.aamc.org/data/gq/
allschoolsreports/2006.pdf].

CRS-18
Table 2. Average Compensation in Certain Health Professions,
2004 (Dollars in U.S. Purchasing Power Parities)
Specialists
General practitioners
Nurses
in
Ratio to per
in
Ratio to per
in
Ratio to per
$1,000s
capita GDP
$1,000s
capita GDP
$1,000s
capita GDP
Netherlands
$253
6.0
$117
3.6
Australia
$247
7.6
$91
2.8
$48
1.5
United States
$230
5.7
$161
4.1
$56
1.4
Belgium
$188
6.0
$61
2.0
Canada
$161
5.1
$107
3.4
United Kingdom
$150
4.9
$118
3.9
$42
1.4
France
$149
5.0
$92
3.1
Ireland
$143
4.0
$41
1.1
Switzerland
$130
3.8
$116
3.4
Denmark
$91
2.9
$109
3.4
$42
1.3
New Zealand
$89
3.6
$34
1.4
Germany
$77
2.7
Norway
$77
1.9
$35
0.9
Sweden
$76
2.5
$66
2.2
Finland
$74
2.5
$68
2.3
$29
1.0
Greece
$67
3.1
$33
1.5
Portugal
$64
3.5
$64
3.5
$34
1.9
Czech Republic
$35
1.7
$32
1.7
$14
0.8
Hungary
$27
1.7
$26
1.6
$14
0.9
Mexico
$25
2.4
$21
2.1
$13
1.3
Poland
$20
1.6
AVERAGE
$113
3.7
$83
2.9
$33
1.3
excluding U.S.
$107
3.6
$78
2.8
$32
1.3
Median
$83
3.3
$80
3.0
$34
1.3
Source: Congressional Research Service (CRS) analysis of Remuneration of Health Professions,
OECD Health Data 2006 (October 2006), available at [http://www.ecosante.fr/OCDEENG/70.html].
Notes: Sorted by specialists’ compensation. Amounts are adjusted using U.S. dollar purchasing power
parities. Amounts from previous years are trended up to 2004 dollars using the annualized Bureau of
Labor Statistics Employment Cost Index for wages and salaries of health services workers in private
industry. It is not known whether wage growth in health professions in other countries was similar to
that in the United States. Amounts are from previous years for 10 countries: data for Australia,
Canada, Denmark (for specialists and nurses), Finland (for nurses), and the Netherlands are from
2003; data for Belgium (for specialists), Denmark (for general practitioners), New Zealand (for
nurses), and Sweden are from 2002; data for Switzerland and the United States (for specialists and
general practitioners) are from 2001; and data for Belgium (for general practitioners) and the United
States (for nurses) are from 2000. Ratios of salaries to GDP per capita reflect the year the data was
collected and are not adjusted for inflation. For countries that have both self-employed and salaried
professionals in a given field, the amount presented here is the higher of the two salaries. Four
countries have both salaried and self-employed specialists: the Czech Republic (where compensation
is $29,484 for salaried and $34,852 for self-employed specialists), Greece ($67,119 and $64,782), the
Netherlands ($130,911 and $252,727), and the United States ($170,300 and $229,500). One country
has both salaried and self-employed general practitioners: in the United States, salaried general
practitioners earn $134,600, compared with $154,200 if self-employed. All nurses are salaried among
this data. Recent data are available only for 21 of the 30 OECD countries.

CRS-19
Health professionals tend to be paid more generous salaries as the wealth of a
country increases (indicated in Table 2 by larger ratios of provider salaries to per
capita GDP). Even accounting for this trend, however, the United States pays health
professionals more than would be predicted by U.S. wealth. As an example, Figure
14
presents specialist salaries and GDP per capita, with data points above the
trendline indicating countries where salaries are more generous than GDP per capita
would predict. The U.S. position above the trendline indicates that specialists are
paid approximately $50,000 more than would be predicted by the high U.S. GDP.
General practitioners are paid roughly $30,000 more than the U.S. GDP would
predict, and nurses are paid $8,000 more (not shown).
In the labor market, salaries are typically determined by the supply of available
workers. When relatively low numbers of professionals with appropriate training
exist, they are able to command higher salaries, based on the scarcity of their skills.
Figure 15 shows that the United States has a relatively low supply of practicing
physicians, which could help explain their high salaries.
Price of Medical Equipment. Although it can be defined more broadly,
capital in the classical economic sense generally refers to physical items used in the
production of a good or service — a building, equipment, etc. For health care
equipment in particular, it is widely believed that the United States pays the highest
prices. Part of the cause may be that the United States is an early adopter of new
technologies. The OECD data indicate that when CT scanners, MRIs, and
lithotriptors were new technologies, the United States had more of these per capita
than any other country. Higher introductory prices are paid by early adopters.
However, OECD data comparing international prices of medical equipment, let alone
other forms of health care capital, are not available.

CRS-20
Figure 14. Specialist Compensation and GDP per Capita
(in U.S. $1,000s), 2004
$300
Netherlands
$250
Australia
United States
n
o
$200
sati
Belgium
en
Canada
p
m
o
$150
t c
lis
a
$100
eci
p
S

Norway
$50
$0
$0
$10
$20
$30
$40
$50
GDP per capita
Source: Congressional Research Service (CRS) analysis of Remuneration of Health Professions,
OECD Health Data 2006 (October 2006), available at [http://www.ecosante.fr/OCDEENG/70.html].
Notes: Amounts are adjusted using U.S. dollar purchasing power parities. Amounts are from previous
years for 10 countries: data for Australia, Canada, Denmark, and the Netherlands are from 2003; data
for Belgium and Sweden are from 2002; data for Switzerland and the United States are from 2001.
Amounts from previous years are trended up to 2004 dollars using the annualized Bureau of Labor
Statistics Employment Cost Index for wages and salaries of health services workers in private industry.
It is not known whether wage growth in health professions in other countries was similar to that in the
United States. For countries that have both self-employed and salaried professionals in a given field,
the amount presented here is the higher of the two salaries. Four countries have both salaried and
self-employed specialists: the Czech Republic (where compensation is $29,484 for salaried and
$34,852 for self-employed specialists), Greece ($67,119 and $64,782), the Netherlands ($130,911 and
$252,727), and the United States ($170,300 and $229,500). One country has both salaried and
self-employed general practitioners: in the U.S., salaried general practitioners earn $134,600,
compared with $154,200 if self-employed. All nurses are salaried among this data. Recent data are
available only for 21 of the 30 OECD countries. The R-squared for this trendline is 0.72.


















































































































































































































































































































































































































































































































CRS-21
Figure 15. Practicing Physicians per 1,000 Population, 2004
Italy
4.2
Belgium
4
Switzerland
3.8
Iceland
3.6
Netherlands
3.6
Austria
3.5
Czech Republic
3.5
Norway
3.5
France
3.4
Germany
3.4
Portugal
3.4
Spain
3.4
Hungary
3.3
Sweden
3.3
Slovak Republic
3.1
AVERAGE
3
Denmark
3
Ireland
2.8
Luxembourg
2.8
Australia
2.6
Finland
2.4
United States
2.4
Poland
2.3
United Kingdom
2.3
New Zealand
2.2
Canada
2.1
Japan
2
Korea
1.6
Mexico
1.6
Turkey
1.4
0
1
2
3
4
5
Source: OECD Health Data 2006 (October 2006).
Notes: Data for Australia, Denmark, New Zealand, Sweden, and Turkey are from 2003. Recent data
are available only for 29 of the 30 OECD countries.

CRS-22
Price of Medical Procedures. Although the OECD does not collect data
comparing prices of medical procedures, several international studies have
consistently found that the United States pays higher prices than other countries for
medical procedures. One group of researchers compared in-hospital spending for
total hip arthroplasty among patients in three teaching hospitals in Canada and three
teaching hospitals in the United States over a five-year period. They found total
spending for the procedure in the United States to be twice that in Canada — with
both overhead costs and direct care costs twice the Canadian level, as shown in
Table 3. The spending on direct care in the United States was higher in spite of
shorter hospital stays. Physician fees were not included in this analysis, but because
they are generally much lower in Canada than in the United States, including that
information would only increase the divergence in costs.17
Table 3. Average Spending for Treatment of Patients Who
Had a Total Hip Arthroplasty
Spending
Canada
United States
Spending on direct care
$4,552 (67%)
$8,221 (62%)
Spending on overhead
$2,214 (33%)
$5,118 (38%)
Total spending
$6,766 (100%)
$13,339 (100%)
Source: Table II, John Antoniou et al., “In-Hospital Cost of Total Hip Arthroplasty in Canada and the
United States,” Journal of Bone and Joint Surgery, November 2004, vol. 86, no. 11, pp. 2435-2439.
Note: Reported spending in U.S. dollars. Canadian dollar spending amounts were converted to U.S.
dollar amounts using purchasing power parities for 1997 through 2001.
The two other studies that have compared procedure prices in the United States
and Canada have found similar results: coronary artery bypass graft surgery costs
twice as much in the United States than in Canada,18 and open abdominal aortic
aneurysm repair costs 47% more in the United States than in Canada.19
Price of Pharmaceuticals. It is generally accepted that the United States
pays higher prices for its prescription drugs than most of the world. How much more
the United States pays continues to be debated. Direct international price
comparisons of prescription drugs have been attempted over the years.
17 John Antoniou et al., “In-Hospital Cost of Total Hip Arthroplasty in Canada and the
United States,” Journal of Bone and Joint Surgery, November 2004, vol. 86, no. 11, pp.
2435-2439.
18 M.J. Eisenberg et al., “Outcomes and cost of coronary artery bypass graft surgery in the
United States and Canada,” Archives of Internal Medicine, 2005, vol. 165, no. 13, pp. 1506-
1513.
19 Anya C. Brox et al., “In-hospital cost of abdominal aortic aneurysm repair in Canada and
the United States,” Archives of Internal Medicine, November 10, 2003, vol. 163, no. 20, p.
2500.

CRS-23
In the early 1990s, the Government Accountability Office (GAO) (then called
the General Accounting Office) issued ground-breaking reports comparing U.S.
prescription drug prices to those of Canada and the United Kingdom.20 For the
brand-name prescription drugs that were included in the GAO studies, the U.S. price
averaged nearly 32% more than in Canada and 60% more than in the United
Kingdom.21 In spite of efforts to make valid comparisons, some other researchers
argued that the U.S. numbers did not adequately reflect discounts and rebates given
to HMOs, Medicaid, and other large purchasers.22 In the intervening years, additional
attempts have been made to perform international drug price comparisons, although
many of the same limitations apply.
A 2003 study by Patricia M. Danzon and Michael F. Furukawa, compared drug
prices in the United States with prices in eight other countries.23 The drugs used in
the study were the 249 leading molecules (active ingredients) in the United States.
The study found that brand-name prescription drugs still under patent were most
expensive in Japan, with the United States ranked second among the nine countries.
In the other seven countries, on-patent prescription drug prices were 24% to 39% less
expensive than in the United States, as shown in Figure 16. However, among the
generic drugs in the study, the United States had the second-lowest prices, also shown
in Figure 16.24 For over-the-counter drugs, the United States had the lowest prices
20 “Prescription Drugs: Companies Typically Charge More in the United States Than in
Canada,” General Accounting Office (GAO) Report HRD92-110, September 1992, available
at [http://archive.gao.gov/d35t11/147823.pdf]; “Prescription Drugs: Companies Typically
Charge More in the United States Than in the United Kingdom,” General Accounting Office
(GAO) Report HEHS-94-29, January 1994, available at [http://archive.gao.gov/t2pbat4/
150655.pdf].
21 For these reports, “price” was the amount paid by wholesalers to drug manufacturers.
22 More generally, “international drug price comparisons are extremely sensitive to choices
made about certain key methodological issues, such as sample selection, unit of
measurement for price and volume, the relative weight given to consumption patterns in the
countries being compared, and the use of exchange rates or purchasing power parities for
currency conversion.” Patricia M. Danzon and Jeong D. Kim, “International Price
Comparisons for Pharmaceuticals: Measurement and Policy Issues,” Pharmacoeconomics,
1998, 14 Suppl. 1, pp. 115-128, available at [http://hc.wharton.upenn.edu/danzon/PDF%
20Files/Intl%20Price%20Comparisons%20for%20Pharma_Mar98%20PharmacoEcon.pdf].
23 Patricia M. Danzon and Michael F. Furukawa, “Prices and Availability of
Pharmaceuticals: Evidence from Nine Countries,” Health Affairs Web exclusive, October
29, 2003, pp. W3-521-36, available at [http://content.healthaffairs.org/cgi/reprint/
hlthaff.w3.521v1.pdf]. The numbers represent the wholesale list prices (that is, the amount
charged by manufacturers to wholesalers). The numbers also incorporate the authors’
estimates of “off-invoice discounts,” which reduced U.S. prices by approximately 8%. The
comparisons are based on currency exchange rates rather than PPPs because currency
exchange rates will be the basis of manufacturers’ decisions when projecting their sales
revenue.
24 Research by the government of Australia suggests that the price of generics in the United
States is not as low compared with other countries as the Danzon and Furukawa research
indicates. However, the Australia report was intended for comparing other countries’ drug
prices with Australia alone, not to each other. Methodological issues makes cross-country
(continued...)

CRS-24
by far among the countries in the study. One commentator summarized the findings
this way: “It is not accurate to say, then, that the United States has higher
prescription-drug prices than other countries. It is accurate to say only that the
United States has a different pricing system from that of other countries. Americans
pay more for drugs when they first come out and less as the drugs get older, while the
rest of the world pays less in the beginning and more later.”25
Of course, price is only one part of the equation of a nation’s spending on
prescription drugs. Danzon and Furukawa found that the quantity of prescription
drugs consumed in the United States is not markedly different from Canada, France
and the United Kingdom, as shown in Figure 17. However, the figure also
demonstrates how much more the United States consumes of new drugs (two years
old or newer). Still, even though the United States has the highest drug spending in
the world, at $752 per person (Figure 18), it is below the OECD average in terms of
the percentage of health care spending devoted to pharmaceuticals (Figure 19). The
below-average results for prescription drugs suggest that U.S. spending on
prescription drugs is not as high compared to the rest of the industrialized world as
is its spending on other types of health care, as discussed in the following section.
24 (...continued)
comparisons for the Australia report problematic. “As the bilateral comparisons are based
on Australian consumption patterns and different bundles of pharmaceuticals for each
country comparison with Australia, conclusions about relative price levels across countries
cannot be drawn” (Productivity Commission 2001, International Pharmaceutical Price
Differences
, Research Report, AusInfo, Canberra, available at [http://www.pc.gov.au/study/
pbsprices/finalreport/pbsprices.pdf]).
25 Malcolm Gladwell, “High Prices,” The New Yorker, October 25, 2004, vol. 80, no. 32, p.
86, available at [http://www.gladwell.com/2004/2004_10_25_a_drugs.html].












































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-25
Figure 16. International Prescription Drug Prices as a Percentage of
U.S. Prices, 1999
250%
On-patent
205%
Generic
195%
200%
e
ric
. P
.S

150%
f U
o

138%
e
130%
124%
g
ta

113%
101%
102%
100%
94%
rcen 100%
e
e P
76%
76%
72%
74%
ag
64%
61%
61%
er
v
A

50%
0%
a
e
ad
ile
any
an
co
es
Italy
om
an
Ch
anc
m
Jap
exi
tat
C
Fr
er
M
ngd
S
G
Ki
ited
nited
U
Un
Source: Patricia M. Danzon and Michael F. Furukawa, “Prices and Availability of Pharmaceuticals:
Evidence from Nine Countries,” Health Affairs, Web exclusive, October 29, 2003, pp.
W3-521-W3-536, available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.w3.521v1.pdf],
Exhibit 4; Patricia M. Danzon, “Drug Importation: Economic Impact,” June 2004 presentation,
available at [http://www.ehcca.com/presentations/pharmacolloquium1/danzon.pdf], slide 18.
Notes: “On-patent drugs” are brand-name prescription drugs available from only a single manufacturer
that is also the company that developed the drug. The numbers represent the wholesale list prices (that
is, the amount charged by manufacturers to wholesalers). The numbers also incorporate Danzon and
Furukawa’s estimates of “off-invoice discounts” in the United States, which reduced U.S. prices by
approximately 8%. The comparisons are based on currency exchange rates rather than purchasing
price parities (PPPs) because currency exchange rates will be the basis of manufacturers’ decisions
when projecting their sales revenue. Note that on-patent brand name drugs and off-patent generic
drugs are not the same price in the United States, despite their equivalent bars in this chart.






















































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-26
Figure 17. International Pharmaceutical Consumption as a Percentage
of U.S. Consumption, for 249 Leading U.S. Molecules, 1999
140%
.
All Drugs
.S 120%
New Drugs
115%
U
o
t
d

100%
re 100%
97%
a
p

91%
m
o

78%
C
80%
ita
p
a

62%
58%
60%
r C
e

53%
44%
n P
io

40%
pt
32%
26%
25%
um
22%
ns
20%
o
C

12%
4%
2%
1%
0%
le
ly
o
hi
ce
any
an
Ita
xic
anada
C
Jap
gdom
tates
C
Fran
erm
Me
in
G
ited S
ted K
ni
Un
U
Source: Patricia M. Danzon and Michael F. Furukawa, “Prices and Availability of Pharmaceuticals:
Evidence from Nine Countries,” Health Affairs, Web exclusive, Oct. 29, 2003, pp. W3-521-W3-536,
available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.w3.521v1.pdf], Exhibit 7.
Notes: “New drugs” are those two years old or newer. From the 350 leading molecules (active
ingredients) based on 1999 U.S. sales volume, Danzon and Furukawa chose 249 that were approved
in at least four of the study countries or had been approved in the United States since 1992. All
products with that active ingredient, including brand-name, generic, and over-the-counter products (if
available), and all presentations (capsules, tablets) and strengths in each country were included. Note
that consumption of new drugs and all drugs are not the same in the United States, despite their
equivalent bars in this chart.

































































































































































































































































































































































































































































































































































































































































































































































































CRS-27
Figure 18. Pharmaceutical Spending per
Figure 19. Pharmaceutical Spending as a
Capita, 2004
Percentage of Total Health Spending, 2004
United States
$752
Poland
29.6%
France
$599
Hungary
27.6%
Canada
$559
Korea
27.4%
Italy
$520
Turkey
24.8%
Iceland
$494
Portugal
23.1%
Spain
$477
Spain
22.8%
Luxembourg
$434
Czech Republic
22.0%
Germany
$429
Italy
21.1%
Japan
$425
Mexico
20.9%
Sw itzerland
$424
France
18.9%
Portugal
$421
Japan
18.9%
Austria
$407
AVERAGE
17.8%
Australia
$400
Canada
17.7%
AVERAGE
$383
Greece
17.4%
Greece
$377
Finland
16.3%
Norw ay
$375
Iceland
14.8%
Finland
$364
Germany
14.1%
Sw eden
$348
Austria
13.0%
Belgium
$344
Australia
12.8%
Ireland
$321
Ireland
12.4%
Netherlands
$318
Sw eden
12.3%
Korea
$315
United States
12.3%
Hungary
$308
Netherlands
11.5%
Slovak Republic
$299
Belgium
11.3%
Denmark
$270
Czech Republic
$261
Sw itzerland
10.4%
Poland
$238
Norw ay
9.5%
Mexico
$138
Denmark
9.4%
Turkey
$112
Luxembourg
8.5%
0
100
200
300
400
500
600
700
800
0%
10%
20%
30%
40%
Notes: Amounts are adjusted using U.S. dollar purchasing power parities, and
Notes: Amounts are based on spending in previous years for seven countries:
are based on estimates and/or earlier years for 16 countries: for Canada,
for Belgium, Japan, and the Slovak Republic, the numbers are from 2003; for
Denmark, France, Iceland, Luxembourg, Portugal, Spain, Sweden, and
the Czech Republic, Hungary, and the Netherlands, the numbers are from
Switzerland, amounts are 2004 estimates; for Belgium (estimate), Japan
2002; and for Turkey, the numbers are from 2000. Recent data are available
(estimate), and the Slovak Republic, the numbers are from 2003; for the
only for 27 of the 30 OECD countries.
Czech Republic, Hungary, and the Netherlands, amounts are from 2002; and
for Turkey, amounts are from 2000. Recent data are available only for 28 of
Source: OECD Health Data 2006 (October 2006).
the 30 OECD countries.

CRS-28
Health Care Spending by Type of Service
Table 4 breaks down U.S. health care spending into component parts. For each
of these components, the table shows the OECD median for the countries reporting
the information and the U.S. rank for each category. In terms of the dollar amounts,
U.S. spending was above the OECD median in every category in Table 4 and the top
spender on outpatient care, pharmaceuticals, and public health and prevention.
Table 4. U.S. Health Care Expenditures per Capita, by Major
Categories, Compared with Reporting OECD Countries, 2004
OECD
U.S.
Expenditure
U.S.
Median
Rank
Outpatient care
$2,668
$727
1 of 19
Inpatient care
$1,636
$1,061
4 of 19
Home health care
$147
$53
5 of 14
Ancillary services
NA
$133
NA of 13
Pharmaceuticals (non-durable medical goods)
$752
$407
1 of 21
Therapeutic appliances (durable medical goods)
$78
$76
9 of 18
Total personal health care
$5,280
$2,676
1 of 21
Prevention and public health
$224
$55
1 of 20
Health administration and insurance
$465
$66
2 of 21
Total collective health care
$689
$132
1 of 19
Total investment on medical facilities
$132
$101
7 of 26
TOTAL HEALTH CARE EXPENDITURES
$6,102
$2,596
1 of 27
Source: OECD Health Data 2006 (October 2006), with Congressional Research Service (CRS)
calculations.
Notes: U.S. outpatient and inpatient amounts are not exactly comparable with the other OECD
countries, because in the United States, costs generated by hospital physicians who independently bill
are counted as outpatient care instead of inpatient care. Dollars are adjusted using U.S. dollar
purchasing power parities. Medians are calculated based on the countries reporting the applicable
information; “U.S. Rank” indicates the number of reporting countries. “N/A” means not available.
“Therapeutic appliances” includes items like eyeglasses, hearing aids, and wheelchairs. “Ancillary
services” include laboratory tests, diagnostic imaging, and patient transport. The United States does
not report expenditures on ancillary services. Some countries report estimates instead of actual
expenditures. A breakdown by category was not available for 11 countries (Belgium, the Czech
Republic, Greece, Hungary, Ireland, Japan, the Netherlands, New Zealand, the Slovak Republic,
Turkey, and the United Kingdom). Their median total per capita spending was $2,162, compared with
$3,043 in the other 19 countries.

CRS-29
The largest dollar difference between the U.S. and the OECD median was in
outpatient care; U.S. spending was $2,668 per person — three-and-a-half times the
OECD median of $727. The U.S. level is almost double that of the second-highest
spender in this category, Sweden ($1,381). However, the high level of U.S.
outpatient spending may be driven partly by methodological issues.
In the United States, it is common for physicians to provide inpatient hospital
care while not being employees of the hospital. For categorizing U.S. spending,
these physician services are considered outpatient services, even though they are
provided in an inpatient setting. The result is that the United States appears to have
a higher proportion of outpatient spending and a lower proportion of inpatient
spending than it otherwise would. Combined, however, outpatient and inpatient
services account for 71% of spending in the United States, compared with 69% of
spending in the median OECD country — quite similar percentages. Even so, total
U.S. health spending per capita is still twice as high as the OECD average. If
independently billing physician costs in the United States could be recategorized as
inpatient spending, it is quite plausible that the United States would rank first in both
outpatient and inpatient spending in Table 4, with proportions of spending in-line
with the other countries. This highlights yet again the care that must be taken when
comparing international health expenditure data.26
Spending on health administration and insurance in the United States ($465)
was seven times that of the OECD median ($66), based on the 21 countries reporting
the information in 2004. As a percentage of total health care spending, the United
States (7.6%) was far above the OECD median (2.5%). The United States was
outspent by only one country — Luxembourg ($490), which has two main types of
private health insurance policies available to its 452,000 citizens: statutorily required,
employer-sponsored private health insurance and voluntary supplemental health
insurance policies (which cover 75% of the population yet pay out benefits worth
only 2.2% of those paid out by the statutory plans).27
Spending on health insurance and administration can be broken into three parts.
The largest part, at least in the United States, comprises the difference between
earned premiums and incurred benefits of private health insurers. This difference
accounts for insurers’ administrative costs, net additions to reserves, rate credits and
dividends, premium taxes, and profits or losses. The next largest part comprises the
administrative expenses of government programs. The smallest part comprises the
expenses associated with health activities of philanthropies. The complexity of the
U.S. system may cause greater administrative costs within the other categories, but
this is not quantified in the OECD data.
26 The categories of U.S. health care expenditures are available at [http://www.cms.hhs.gov/
NationalHealthExpendData/downloads/quickref.pdf]. For additional information, see “Note
on General Comparability of Health Expenditure and Finance Data in OECD Health Data
2005,” [http://www.irdes.fr/ecosante/OCDE/411.html], which also provides a link to
country-specific definitions.
27 Elizabeth Kerr,”Health Care Systems in Transition: Luxembourg,” European Observatory
on Health Care Systems, 1999, available at [http://www.euro.who.int/document/
e67498.pdf].












































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-30
Figure 20. Health Administration and Insurance Costs, 2004
Luxembourg
$490
United States
$465
France
$238
Switzerland
$198
Belgium
$192
Germany
$172
Netherlands
$132
Canada
$131
AVERAGE
$104
Australia
$86
Austria
$82
Mexico
$68
Spain
$66
Denmark
$61
United Kingdom
$57
Japan
$52
Iceland
$49
Finland
$49
Czech Republic
$43
Korea
$40
Portugal
$35
Norway
$29
Poland
$20
Hungary
$18
Sweden
$15
Turkey
$10
Italy
$8
Slovak Republic
$3
$0
$100
$200
$300
$400
$500
$600
Source: OECD Health Data 2006 (October 2006).
Notes: Amounts are adjusted using U.S. dollar purchasing power parities, and are from a previous year
for six countries: for Belgium, Japan, and the Slovak Republic, amounts are from 2003; for Hungary,
the amount is from 2002; for Turkey, the amount is from 2000; and for the United Kingdom, the
amount is from 1999. Recent data are available only for 27 of the 30 OECD countries.

CRS-31
What Spurs Health Care Prices and Utilization?
The preceding discussion described U.S. health care spending relative to most
of the leading industrialized democracies. The discussion presented what
information is available on the traditional components of spending: quantity
(specifically, health care utilization in the form of volume and intensity) and price.
However, price and quantity themselves are driven by even more fundamental
factors, many of which have been alluded to already — for example, the population’s
health and income. Rather than dealing with a few of these factors piecemeal, this
section uses what data are available to look more comprehensively at the factors that
affect health care spending.
With a couple of exceptions that will be discussed, health care is similar in
many respects to other goods and services that people purchase. For example, as
prices drop, people tend to consume more. Using the classic supply-demand
construct, health care has its suppliers (doctors, hospitals, pharmaceutical companies,
etc.) and those who have a demand, or desire, to use health care (patients, consumers,
etc.). This section describes many of the factors that can change the supply and the
demand of health care, along with a discussion of their impact on price and
utilization. Where possible, this section compares the impact of these factors in the
United States with other OECD countries.
Factors that Affect Demand
Health. A population’s health can affect the amount of health care they use.
Determinants of health that are included in the OECD data are age (discussed in the
next section), obesity, diet, and alcohol and tobacco consumption.
The incidence of certain diseases in a population can affect a nation’s health
care spending compared with others. However, the OECD data provide such
information only for cancer (i.e., malignant neoplasms) and acquired
immunodeficiency syndrome (AIDS). In both cases, the United States has the
highest incidence in the OECD. In 2002, the incidence of cancer in the United States
was 358 per 100,000 population, compared with the second-highest rate of 331 in
New Zealand and the OECD average of 266. In 2002, the incidence of AIDS in the
United States was 147 per 100,000 population, compared with the second-highest
rate of 97 in Portugal and the OECD average of 19.
Using the available OECD data, if people in one country have greater rates of
obesity than in another, one might expect them to have higher average health care
spending. Although the OECD data provide estimates of the percentage of the
population that is overweight and obese, only the United Kingdom uses a
methodology similar to the United States. Both use actual measurements of people
for their estimates. The other OECD countries use results from survey questions,
which yields lower rates of obesity. In 2004, 34% of U.S. residents were estimated
to be overweight (but not obese), compared with 39% of U.K. residents. However,
the United States had a much greater percentage of its population that was considered
obese (32%) than the United Kingdom (23%).

CRS-32
In lieu of comparable obesity data, information on populations’ food
consumption may also indicate their health and tendencies that lead to chronic, costly
diseases such as diabetes and heart disease. The United States ranked first in both
daily calorie consumption and annual sugar consumption per person in 2003 among
OECD countries. U.S. sugar consumption was notably higher than all the other
countries, at 156 pounds per person per year, compared with the OECD average of
99 pounds of sugar consumed per year.28
The United States had the 11th lowest rate of alcohol consumption. Among
individuals aged 15 and older, average annual consumption of pure alcohol was 2.2
gallons in the United States, compared with the OECD average of 2.5 gallons and the
top-ranked average in Luxembourg of 4.1 gallons.29 The United States had the third-
lowest percentage (17%) of daily smokers in 2004, after Canada (15%) and Sweden
(16.2%). Greece had the highest percentage of daily smokers (39%).
The effects of obesity on health and health care spending have been found to be
more serious than smoking or problem drinking — the effects of obesity are similar
to 20 years’ aging.30 According to one estimate, 27% of the increase in per capita
U.S. health care spending between 1987 and 2001 was attributable to obesity.31
Another group of researchers estimated that 9.1% of total U.S. medical spending was
attributable to obesity in 1998, with Medicare and Medicaid paying for half of these
costs.32 The OECD data do not provide estimates of how this might compare with
other countries.
Age Structure of the Population. Because the incidence of many of the
most costly diseases tends to increase with age, the age structure of a population may
also affect its per capita health care spending as compared with other nations. In the
OECD countries, the percentage of the population aged 65 and older ranges from 6%
in Turkey to 19% in Japan, Germany, and Italy. In the United States, 12% of the
population was 65 and older in 2004, below the OECD average of 14%. In the
United States, 26% of the population is 19 or younger, the seventh-highest in the
OECD. Considering the strong association between age and health care spending,
an aging population (although of concern within the United States) cannot be used
28 OECD data is reported in kilograms, and has been converted to pounds in this report. The
United States ranked 7th in annual per capita consumption of fat, 6th in consumption of
protein, and 12th in consumption of fruits and vegetables.
29 OECD data is reported in liters and has been converted into gallons in this report.
30 Roland Sturm, “The Effects of Obesity, Smoking, and Drinking on Medical Problems and
Costs,” Health Affairs, March/April 2002, vol. 21, no. 2, pp. 245-53, available at
[http://content.healthaffairs.org/cgi/reprint/21/2/245.pdf].
31 Kenneth E. Thorpe et al., “The Impact of Obesity on Rising Medical Spending,” Health
Affairs,
Web exclusive, October 20, 2004, pp. W4-480-486, available at
[http://content.healthaffairs.org/cgi/reprint/hlthaff.w4.480v1.pdf].
32 Eric Finkelstein, Iam Fiebelkorn, and Guijing Wang, “National Medical Spending
Attributable To Overweight And Obesity: How Much, And Who’s Paying?” Health Affairs,
Web exclusive, May 14, 2003, pp. W3-219-W3-226, available at
[http://content.healthaffairs.org/cgi/reprint/hlthaff.w3.219v1.pdf].

CRS-33
as an explanation for this country’s high health care spending relative to the rest of
the world.
Income. Changes in people’s income shifts their demand for health care. As
income increases, people tend to consume greater quantities of goods, such as health
care, and are willing to pay higher prices. If people’s incomes rise and the supply of
products is not increased, then the price of those products would be expected to rise.
As discussed earlier and illustrated in Figure 2, a simple bivariate comparison
suggests that varying GDP levels may account for 90% of the variation in per capita
health care spending across the 30 OECD countries. Thus, one might expect the
United States to have a high level of per capita health care spending compared with
countries with a lower per capita GDP (although U.S. health care spending is still
60% higher than its GDP would predict).33
Insurance. The presence of insurance also affects demand for health care.
Because health insurance reduces people’s out-of-pocket costs of care, people with
health insurance will generally use more health care than people who lack insurance.
The RAND Health Insurance Experiment, which took place in the 1970s and 1980s,
found that those with a health insurance plan that covered all costs would seek nearly
twice as much care as those with a health insurance plan that covered only 5% of the
costs, with total spending directly related to the level of cost-sharing individuals
faced.34 The phenomenon of people seeking more (or any) health care because they
face lower out-of-pocket costs from insurance is referred to in health economics as
“moral hazard.”35 If the vast majority of Americans had health insurance that
33 Health care is what economists call a “luxury good,” because richer people (and nations)
buy it in greater proportions (see, for example, W.J. Moore et al., “Measuring the
Relationship between Income and National Health Expenditures,”Health Care Financing
Review
14, no. 1, 1992, pp. 133–139). For example, as GDP per capita rises, the percentage
of GDP devoted to health care also rises. (If health care were a “normal good,” the
percentage of a nation’s GDP devoted to health would not change when GDP per capita
increased.) Even so, the United States’ GDP per capita predicts that health care would
comprise 10% of GDP rather than 15%.
34 Joseph P. Newhouse et al., Free for All? Lessons from the RAND Health Insurance
Experiment
(Cambridge, Massachusetts: Harvard University Press, 1993), Table 4.17. “For
most people enrolled in the RAND experiment, who were typical of Americans covered by
employment-based insurance, the variation in use across the plans appeared to have minimal
to no effects on health status. By contrast, for those who were both poor and sick — people
who might be found among those covered by Medicaid or lacking insurance — the reduction
in use was harmful, on average. In particular, hypertension was less well controlled among
that group, sufficiently so that the annual likelihood of death in that group rose
approximately 10 percent. This adverse effect occurred in spite of the reduced cost sharing
for low-income families, a feature generally not found in today’s plans.” (Joseph P.
Newhouse, “Consumer-Directed Health Plans And The RAND Health Insurance
Experiment,” Health Affairs, vol. 23, no. 6, November/December 2004, pp. 108-109,
available at [http://content.healthaffairs.org/cgi/reprint/23/6/107.pdf].)
35 For example, Sherman Folland et al., The Economics of Health and Health Care, Prentice-
Hall, Upper Saddle River, New Jersey, second edition, 1997, p. 602. For sometime, it has
been questioned whether the increased care resulting from reduced out-of-pocket payments
(continued...)

CRS-34
substantially lowered their out-of-pocket costs for health care, compared with people
in other OECD countries, then the resulting increased utilization might arguably be
attributed to moral hazard. However, this is not the picture that emerges.
First, the United States has the lowest percentage of its population enrolled in
health insurance among those countries reporting. “The U.S. health care system is
unique in the OECD area. The United States does not have a national insurance
program and 14 percent of the population has no insurance coverage.”36 Twenty-two
OECD countries provided 98% to 100% of their residents with public health
insurance covering at least hospital and inpatient care in 2004.
The percentage of residents covered by public insurance in the other three
countries reporting data for 2004 were as follows: 90% in Germany, 70% in the
Netherlands, and 27% in the United States. Besides the United States, only the
Netherlands’ public health insurance coverage was below 90% among the 25
countries reporting. Including the Netherlands’ private health insurance, “a very
negligible portion of the population (less than 1%) remains uninsured.”37 Private
health insurance increases U.S. coverage to 86% overall, still yielding the highest
uninsured rate among the OECD countries reporting.38 The OECD has noted that
among its members only the United States, Mexico, and Turkey have not established
“universal or near-universal coverage.” “Mandatory/compulsory element (is) key to
universality,” according to the OECD.39
At first glance, with 45 million uninsured, moral hazard might appear not to
contribute to high health spending in the United States. However, there is another
35 (...continued)
from insurance always results in a welfare loss (for example, see Mark Pauly, “More on
Moral Hazard,” Journal of Health Economics 2, 1983, pp. 83-84), going so far as to say that
sometimes moral hazard may represent a welfare gain to society (see, for example, John A.
Nyman, “Is ‘Moral Hazard’ Inefficient? The Policy Implications of a New Theory,” Health
Affairs
, vol 23, no. 5, September/October 2004, pp. 194-199, available at
[http://content.healthaffairs.org/cgi/reprint/23/5/194.pdf]). It should also be noted that the
presence of insurance can lead to increased spending for reasons besides individuals’
immediate response to potential out-of-pocket costs. For example, insurance may enable
providers to charge higher prices, ultimately because individuals are insulated from the true
costs (see Folland, p. 246, and Roger K. Howe, “Moral Hazard Health Spending,” Health
Affairs
, vol. 24, no. 2, pp. 567-8, available at [http://content.healthaffairs.org/cgi/reprint/
24/2/568.pdf].
36 Elizabeth Docteur et al., “The US Health System,” available at [http://www.oecdwash.org/
PDFILES/us_health_ecowp350.pdf], p. 5.
37 Nicole Tapay and Fracesca Colombo, “Private Health Insurance in the Netherlands: A
Case Study,” OECD Health Working Paper No. 18, p. 11, available at [http://www.oecd.org/
dataoecd/19/57/34081266.pdf].
38 Elizabeth Docteur et al., “The US Health System,” available at [http://www.oecdwash.org/
PDFILES/us_health_ecowp350.pdf], p. 6.
39 Elizabeth Docteur, “Reforming Health Systems in OECD Countries,” presentation at
OECD Breakfast Series, Washington, DC, June 26, 2003, available at
[http://www.oecdwash.org/PDFILES/health2003_wash.pdf].

CRS-35
factor affecting moral hazard besides simply coverage: Americans pay less out of
pocket for care on average than the populations of most other OECD countries,
which one might expect to lead to greater health care spending.
Specifically, as shown in Figure 21, 13.2% of U.S. health care costs were paid
by individuals out of their own pockets in 2004.40 This is the fifth-lowest average
rate of cost-sharing in the OECD, even including the effect of the uninsured.
However, this is based on the average amount paid out of pocket, which obscures the
variation in individuals’ cost-sharing (e.g., some people who might be uninsured and
face 100% cost-sharing, versus those with generous coverage who face little or no
cost-sharing). More analyses are needed on the distribution of cost-sharing among
countries’ populations to more fully appreciate the impact of cost-sharing on overall
health care spending.41
Tax Treatment. Health insurance increases health care spending to the extent
that it reduces the cost of services to individuals. The same is true for the tax
treatment of health care costs and health insurance premiums. In the United States,
wages set aside by employers to pay for health insurance are not subject to personal
income tax. As a result, more money is available to pay for health insurance
compared with the amount if it were paid out to workers, taxed, and then used to
purchase coverage. When payments for health insurance premiums receive tax
advantages, individuals tend to purchase richer health insurance benefits than they
would in the absence of those tax benefits.42
In addition to tax preferences for employer-sponsored health insurance
premiums, out-of-pocket health care costs are tax deductible once they exceed 7.5%
of adjusted gross income (AGI) for those who itemize their tax returns. However,
tax-advantaged accounts (for example, Health Savings Accounts) may enable some
individuals to exempt all of their out-of-pocket health care costs from income tax —
regardless of the amount of those expenses or whether or not individuals’ tax returns
are itemized. Premiums for non-group health insurance coverage (as opposed to
employer-sponsored group coverage) are not tax deductible, except for the self-
employed (and except to the extent that nongroup premiums contribute to exceeding
7.5% of AGI for individuals who itemize).43
40 This does not include premiums or tax payments for health insurance. This refers to the
cost of actual health care services paid by individuals.
41 Information on some European countries’ cost-sharing in their public health insurance
programs is in Table 7.1 of “Funding Health Care: Options for Europe,” World Health
Organization, Open University Press: Buckingham (U.K.), 2002, available at
[http://www.euro.who.int/document/e74485.pdf]. It is worth noting that high rates of
cost-sharing do not always result in low total health spending. For example, Switzerland has
the fourth-highest rate of cost-sharing and the third-highest total health spending per capita.
42 Richer benefit selection and increased health care consumption may or may not be
beneficial to individuals. Exploring this is not the intent of this section, but normative
questions regarding health care spending are discussed later.
43 For additional detail, see CRS Report RL33505, Tax Benefits for Health Insurance and
Expenses: Overview of Current Law and Legislation
, by Bob Lyke and Julie M. Whittaker.

































































































































































































































CRS-36
Figure 21. Percentage of Health Care Costs Paid
Out-of-Pocket, 2004
France
7.6%
Netherlands
7.8%
Czech Republic
10.4%
Slovak Republic
11.7%
United States
13.2%
Germany
13.3%
Ireland
13.5%
Denmark
13.9%
Austria
14.7%
Canada
14.9%
Norw ay
15.7%
Iceland
16.6%
New Zealand
17.2%
Japan
17.3%
Finland
18.9%
Turkey
19.3%
AVERAGE
19.8%
Australia
20.0%
Portugal
20.6%
Italy
21.0%
Spain
23.6%
Hungary
25.1%
Poland
28.1%
Sw itzerland
31.9%
Korea
36.9%
Greece
45.2%
Mexico
50.6%
0%
10%
20%
30%
40%
50%
60%
Source: OECD Health Data 2006 (October 2006).
Notes: Data are from a previous year for two countries: for the Slovak Republic, data are from 2003;
for Japan, data are from 2002. Recent data are available only for 26 of the 30 OECD countries.

CRS-37
In the United States, the forgone tax revenues resulting from federal tax policy
are called tax expenditures. The cost of all health care-related tax expenditures was
$141.5 billion in 2006, or $473 per person.44 Some of these tax expenditures include
tax exemption of employers’ contributions for employee health insurance ($90.6
billion), deducting out-of-pocket medical expenses ($7.3 billion), and deducting
health insurance premiums for the self-employed ($3.8 billion).45 Unfortunately, a
comparison of health-related tax expenditures across OECD countries is not
available.
Tastes. People’s tastes can also affect demand for health care. Tastes for
health care may be influenced by a variety of factors. A person’s peers, or even
culture, may encourage or discourage certain types of health care.46 For example, one
poll found that 34% of Americans thought that modern medicine could cure almost
any illness, whereas only 27% of Canadians and 11% of Germans thought this.47 It
is possible that these attitudes may translate into greater reliance on advanced
medical procedures by Americans.
Variation in attitudes toward health care also exist within the United States. In
the Miami area, the average spending per Medicare beneficiary was $11,352 in 2003,
compared with the national average of $6,611.48 Some have suggested that this
44 U.S. Office of Management and Budget, “Tax Expenditures,” in Budget of the United
States Government 2008, Analytical Perspectives
, p. 289, available at
[http://www.whitehouse.gov/omb/budget/fy2008/pdf/apers/receipts.pdf]. U.S. population
on July 1, 2006 was 299,398,484. Table 1: Annual Estimates of the Population for the
United States, Regions, and States and for Puerto Rico: April 1, 2000 to July 1, 2006
(NST-EST2006-01), Population Division, U.S. Census Bureau, December 22, 2006,
available at [http://www.census.gov/popest/states/tables/NST-EST2006-01.xls].
45 Total tax expenditures are from “Estimates of Federal Tax Expenditures for Fiscal Years
2006-2010,” Joint Committee on Taxation, U.S. Government Printing Office, April 25,
2006, available at [http://www.house.gov/jct/s-2-06.pdf].
46 “For example, Hispanic women, particularly Mexican, bring with them a cultural belief
that certain parts of their body should only be touched by their husbands. However, if this
cultural belief causes a woman to refuse a breast or pelvic examination, then we must work
with her to adopt new beliefs so that these examinations help her maintain good health.”
From Lynette Grouse, “Reducing Disparities in Cancer Health Care,” BenchMarks,
November 30, 2005, vol. 5, no. 6.
47 Minah Kim, Robert Blendon, and John Benson, “How Interested Are Americans In New
Medical Technologies? A Multicountry Comparison,” Health Affairs, September/October
2001, vol. 20, no. 5, pp. 194-200, available at [http://content.healthaffairs.org/cgi/reprint/
20/5/194.pdf].
48 From custom data table on the website of The Dartmouth Atlas of Health Care
[http://www.dartmouthatlas.org/data_tools.shtm], using hospital referral regions. Dartmouth
researchers have published much research on the geographic variation in Medicare
spending. Regarding the south Florida phenomena, see the previously cited article by
Jonathan Skinner and John E. Wennberg, “Exceptionalism Or Extravagance?”

CRS-38
difference in spending is due to local expectations and patterns that are not
attributable to local differences in population age, illness, or prices.49
Other external factors, such as advertising, may also affect tastes. Between
1996 and 2003, direct-to-consumer (DTC) advertising for prescription drugs more
than quadrupled in the United States. A study by a pharmaceutical consulting firm
found that 90% of the brands that were advertised DTC experienced a positive return
on that investment. Seventy percent of the brands experienced returns in excess of
$1.50 for every DTC dollar spent.50 Other research suggests even higher returns.51
Despite the fact that the United States is one of only two industrialized countries that
allows direct-to-consumer advertising, whether U.S. health care spending overall is
significantly affected by DTC advertising is debatable, let alone the extent to which
its use and impact varies across the OECD.52
Weak Bargaining Power. Entities or individuals who purchase a relatively
large amount of a good or service generally try to use that market power to obtain
lower prices. As buying power becomes more diffuse, purchasers have reduced
ability to obtain lower prices. Health care is no different. Insurers, representing
thousands of people, are able to obtain lower prices for health care services; the
uninsured, facing the market as individuals, often pay the highest prices. For
example, one researcher found that uninsured individuals who were hospitalized for
a heart attack were charged more than $30,000 on average, whereas the charge to
insurance plans was less than $10,000.53
However, most Americans are covered by private health insurance and
ostensibly receive care at lower prices than if they were uninsured. In addition, the
publicly financed health insurance systems of Medicare and Medicaid do exert some
buying power. However, some researchers note the potential impact of bargaining
power:
49 John Wennberger et al., The Center for Evaluative Clinical Sciences, Dartmouth Medical
School, The Quality of Medical Care in the United States: A Report on the Medicare
Program, The Dartmouth Atlas of Health Care 1999
(Chicago: Health Forum, Inc., 1999),
available at [http://www.dartmouthatlas.org/atlases/99Atlas.pdf], p. 11. Gina Kolata,
“Patients in Florida Lining Up For All That Medicare Covers,” New York Times, September
13, 2003, p. A1.
50 IMS Management Consulting [David Gascoigne], “DTC at the Crossroads: A ‘Direct’ Hit
... or Miss?” IMS Issues and Insights, September 23, 2004, at
[http://www.imshealth.com/ims/
portal/front/articleC/0,2777,6599_5266_58193110,00.html].
51 Meredith B. Rosenthal, Ernst R. Berndt, Julie M. Donohue, Arnold M. Epstein, and
Richard G. Frank, Demand Effects of Recent Changes in Prescription Drug Promotion
(Menlo Park, CA: The Kaiser Family Foundation, June 2003), pp. 18-19.
52 New Zealand is the other industrialized country that allows direct-to-consumer advertising
of prescription drugs.
53 Gerard Anderson, testimony to the House Energy and Commerce Subcommittee on
Oversight and Investigations, June 24, 2004.

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(T)he highly fragmented buy side of the U.S. health system is relatively weak by
international standards. It is one factor, among others, that could explain the
relatively high prices paid for health care and for health professionals in the
United States. In comparison, the government-controlled health systems of
Canada, Europe, and Japan allocate considerably more market power to the buy
side. In each of the Canadian provinces, for example, the health insurance plans
operated by the provincial governments constitute pure monopsonies: They
purchase (pay for) all of the health services that are covered by the provincial
health plan and used by the province’s residents.54
Several years ago, U.S. insurers attempted to rein in costs with managed care.
In the era that has followed, with the easing of managed care restrictions, plans have
sought to rein in costs by other means. Since the late 1990s, “(p)lans’ strategies
centered on consolidation and geographic expansion, aggressive pricing to expand
market share, and development of less restrictive managed care products.”55 Through
acquisitions, there are now “megaplans” such as United Healthcare, which covers 65
million enrollees.56 As of 2002-2003, the top three insurers in each state covered
more than two-thirds of commercial insurance enrollees. In only three state markets
did the top three insurers cover less than half of commercial insurance enrollees.
However, the price effects of these consolidations have apparently been more than
counterbalanced by consolidations on the supply side, as discussed in another section
below.57
Having multiple health insurance plans creates increased administrative costs.
As noted in Table 4 and Figure 21, the United States is the second-highest spender
on health and insurance administration costs (at $465 per person), behind
Luxembourg. However, this amount fails to capture spending by health care
providers for their billing and insurance-related administration. These costs are
discussed in the following section on the supply of health care.
Factors that Affect Supply
In addition to factors that can affect people’s demand for health care, other
factors can affect the quantity and type of health care services offered to patients.
These supply factors can affect both price and utilization.
Supplier-Induced Demand. Supplier-induced demand is defined as the
change in demand for health care “associated with the discretionary influence of
54 Anderson et al., “It’s the Prices, Stupid,” p. 102.
55 Cara S. Lesser and Paul B. Ginsburg, “Update on the Nation’s Health Care System: 1997-
1999,” Health Affairs, November/December 2000, vol. 19, no. 6, pp. 206-216, available at
[http://content.healthaffairs.org/cgi/reprint/19/6/206.pdf].
56 “UnitedHealth Group Completes Merger with PacifiCare Health Systems, Inc.,”
UnitedHealth Group news release, December 21, 2005, available at
[http://www.unitedhealthgroup.com/news/rel2005/1221PHS.htm].
57 James C. Robinson, “Consolidation and the Transformation of Competition in Health
Insurance,” Health Affairs, November/December 2004, vol. 23, no. 6, pp. 11-24, available
at [http://content.healthaffairs.org/cgi/reprint/23/6/11.pdf.]

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providers, especially physicians, over their patients.”58 Some research suggests that
when patients are faced with a choice of treatments for a condition, local medical
practice patterns tend to determine which procedure is used more often.59 In addition,
researchers looking at the seemingly unexplained variation in Medicare spending
across geographic areas came to the following conclusions:
Regions and academic medical centers with greater overall spending rates ... is
largely the result of the providers in these regions using more supply-sensitive
care: more physician visits, hospitalizations, stays in ICUs, and diagnostic testing
and imaging. The remarkable variation in the frequency of use of these services
among regions demonstrates the role capacity plays. For example, rates of
primary care visits vary by a factor of about three, visits to medical specialists
by more than six, and hospitalizations for cancer, chronic lung disease and
congestive heart failure by more than four.60
Over the years, these researchers have “consistently shown a positive association
between the supply of staffed hospital beds and the rate of hospitalization for
conditions that do not require surgery.... A similar relationship can be seen between
the supply of physicians and visit rates, particularly for those specialties that spent
most of their time treating chronic illness.”61 Research also indicates that, on
average, the additional utilization and spending do not necessarily lead to better
health outcomes.62
One study suggests that areas with new doctor-owned specialty cardiac hospitals
see 200% faster growth in the number of heart procedures compared with areas with
new cardiac programs at general hospitals. This research suggests that doctors’
financial stakes in specialty hospitals cause them to refer more patients for surgery
— especially relatively healthy patients.63 There is also an extremely strong
correlation between the number of acute hospital beds per capita and the number of
acute care bed days per capita.64 Even so, it is difficult to assess if the capacity is
built to match demand, or the other way around. In terms of cross-country
58 Sherman Folland et al., The Economics of Health and Health Care, p. 605.
59 “Preference-Sensitive Care,” A Dartmouth Atlas Project Topic Brief, November 15, 2005,
available at [http://www.dartmouthatlas.org/topics/preference_sensitive.pdf].
60 “Supply-Sensitive Care,” A Dartmouth Atlas Project Topic Brief, November 14, 2005,
available at [http://www.dartmouthatlas.org/topics/supply_sensitive.pdf].
61 Ibid.
62 Barbara Starfield et al., “The Effects Of Specialist Supply On Populations’ Health:
Assessing The Evidence,” Health Affairs, Web exclusive, March 15, 2005, pp. W5-97-107,
available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.w5.97v1.pdf].
63 For angioplasties, the growth in procedures was driven by increased utilization by
comparatively healthy patients who did not have acute myocardial infarction. Brahmajee
Nallamothu, Mary Rogers, Michael Chernew, et al., “Opening of Specialty Cardiac
Hospitals and Use of Coronary Revascularization in Medicare Beneficiaries,” JAMA - The
Journal of the American Medical Association,
March 7, 2007, vol. 297, no. 9, pp. 962-968,
available at [http://jama.ama-assn.org/cgi/content/abstract/297/9/962].
64 The R-squared is 0.94, among 25 reporting countries.

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comparisons, OECD data do not demonstrate that supplier-induced demand and the
payment incentives to health care providers drives U.S. health care spending above
the rest of the world.
Specialist Care Emphasis. In most Western industrialized countries, visits
to generalists exceed the number of visits to specialists — but not in the United
States, according to the OECD.65 Conversely, some researchers concluded that areas
with a greater supply of primary care physicians have lower rates of deaths, even after
controlling for socioeconomic and demographic factors. One group of researchers
remarked that “it is the relative roles of primary care physicians and specialists rather
than their number that makes the difference in health outcomes.”66 Another study
suggests that an increase in the number of general practitioners per population is
associated with an increase in the quality of health care and reduced costs per
patient.67
One study comparing elderly medical care in the United States and Canada
found that Canadian seniors received 44% more evaluation and management services
but 25% fewer surgical procedures than American seniors.68
A study comparing hospitals in Manhattan and Paris found that Manhattan
hospitals saw 150% more hospital stays than Paris did for conditions that were
considered to be preventable with appropriate primary care. There was less of a
difference (20%) in the hospital rates for conditions that are not preventable through
prior primary care. Because it also found that a higher proportion of Paris doctors
practiced primary care (50%, compared with 30% of doctors in Manhattan), these
researchers postulated that reduced use of primary care was causing increased use of
hospitals for preventable conditions.69
Defensive Medicine. Some have argued that U.S. physicians are more likely
to practice defensive medicine — that is, ordering more tests or providing more care
65 E. Van Doorslaer, X. Koolman, and F. Puffer, “Equity in the Use of Physician Visits in
OECD Countries: Has Equal Treatment for Equal Need Been Achieved?” in Measuring Up:
Improving Health System Performance in OECD Countries
(Paris: Organization for
Economic Coooperation and Development, 2002), pp. 225-248.
66 Barbara Starfield, Leiyu Shi, Atul Grover, et al., “The Effects Of Specialist Supply On
Populations’ Health: Assessing The Evidence,” Health Affairs, Web exclusive, March 15,
2005, pp. W5-97-W5-107, available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.
w5.97v1.pdf].
67 Katherine Baicker and Amitabh Chandra, “Medicare Spending, the Physician Workforce,
and Beneficiaries’ Quality of Care,” Health Affairs, Web exclusive, April 7, 2004, pp. W4-
184-W4-197, available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.w4.184v1.pdf].
68 W. Pete Welch, Diana Verrilli, Steven Katz, et al., “A Detailed Comparison of Physician
Services for the Elderly in the United States and Canada,” JAMA - The Journal of the
American Medical Association,
May 8, 1996, vol. 275, no. 18, pp. 1410-1416.
69 Michael Gusmano, Victor Rodwin, and Daniel Weisz, “A New Way To Compare Health
Systems: Avoidable Hospital Conditions In Manhattan And Paris,” Health Affairs,
March/April 2006, vol. 25, no. 2, pp. 510-520, available at [http://content.healthaffairs.org/
cgi/reprint/25/2/510].

CRS-42
than they otherwise would in an attempt to avoid being sued for medical malpractice.
In a recent survey of Pennsylvania physicians specializing in areas of medicine where
litigation is frequent (such as surgeons, radiologists, and obstetricians/gynecologists),
93% reported practicing defensive medicine.70 Quantifying the specific effect of
defensive medicine on health spending is more difficult to measure. The most widely
cited study on this issue indicated that states that adopted malpractice tort reforms
reduced spending on two heart procedures (acute myocardial infarction and ischemic
heart disease) by 5% to 9%.71 However, a subsequent analysis by the Congressional
Budget Office (CBO) that used a broader set of ailments found no effect of
malpractice tort reform on health spending. It concluded that “[o]n the basis of
existing studies and its own research, CBO believes that savings from reducing
defensive medicine would be very small.”72 A more recent CBO analysis found that
studies on the relationship between tort reforms and health spending are
“inconsistent” and “mixed.” CBO concluded that tort reforms are sometimes
associated with higher health spending, sometimes lower spending, and sometimes
no effect on health spending.73
Structure of Health System. The structure of a country’s health system and
providers’ bargaining power has a major effect on a country’s level of health
spending. In the United States, many hospitals (and hospital systems) have
consolidated in the past several years, enabling them to obtain better price leverage
in negotiations of reimbursement rates with insurance plans. Available research
indicates that this consolidation has enabled hospitals to obtain higher prices but has
not led to demonstrable improvements in health care quality.74 The numerous,
evolving arrangements of health care providers make it difficult to define the current
U.S. health care delivery system, let alone compare it with other countries, each with
their own ongoing dynamics.
70 David Studdert, Michelle Mello, William Sage, et al., “Defensive Medicine Among High-
Risk Specialist Physicians in a Volatile Malpractice Environment,” JAMA - The Journal of
the American Medical Association
, June 1, 2005, vol. 293, pp. 2609-2617, available at
[http://jama.ama-assn.org/cgi/content/short/293/21/2609].
71 Daniel Kessler and Mark McClellan, “Do doctors practice defensive medicine?” The
Quarterly Journal of Economics
, May 1996, vol. 111, no. 2, pp. 353-390, available at
[http://www.jstor.org/view/00335533/di976354/97p00433/0].
72 Perry Beider and Stuart Hagen, “Limiting Tort Liability for Medical Malpractice,”
Congressional Budget Office, January 8, 2004, available at [http://www.cbo.gov/ftpdocs/
49xx/doc4968/01-08-MedicalMalpractice.pdf].
73 Chapin White and Stuart Hagen, “Medical Malpractice Tort Limits and Health Care
Spending,” Background Paper, Congressional Budget Office, April 2006, available at
[http://www.cbo.gov/ftpdocs/71xx/doc7174/04-28-MedicalMalpractice.pdf], p. 3.
74 Alison Evans Cuellar and Paul J. Gertler, “How the Expansion of Hospital Systems Has
Affected Consumers,” Health Affairs, January/February 2005, vol. 24, no. 1, pp. 213-219,
available at [http://content.healthaffairs.org/cgi/reprint/24/1/213.pdf]; Cory Capps and
David Dranove, “Hospital Consolidation and Negotiated PPO Prices,” Health Affairs,
March/April 2004, vol. 23, no. 2, pp. 175-181, available at [http://content.healthaffairs.org/
cgi/reprint/23/2/175.pdf].

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The OECD health system that differs most from the United States in terms of
the structure is the United Kingdom. The United Kingdom has a government-run
National Health Service (NHS), which not only pays directly for health expenses but
employs the doctors and nurses that provide the care, as well as owns and operates
most of the sites where that care is given. Various estimates put the U.K. National
Health Service at the third or the fifth largest employer in the world.75 As shown in
Table 2, in 2004 U.K. general practitioners were the second best-paid in the OECD,
its nurses the third best-paid, and its specialists the sixth best-paid.
Health care makes up 8.1% of GDP in the United Kingdom, compared with
15.3% in the United States. As one OECD researcher noted, “Countries with
single-payer systems or integrated public financing and delivery (national health
services) found spending control easier.”76 For the NHS, this has been done using
administered pricing, controls on the supply of health care, and specific budget limits.
However, Simon Stevens, the British Prime Minister’s health policy adviser from
1997 to 2004, said that the NHS had
overly effective cost containment.... As a consequence, U.K. health care
infrastructure was outdated, with old buildings and inadequate equipment.
Britain had relatively few health professionals: two practicing physicians per
1,000 population versus 2.8 in the United States and 3.3 in France and Germany.
And it was undersupplying appropriate care, causing long waits for routine
surgeries. These facts were reinforced by the growing tendency of the British
media to substitute its long-standing stereotype of the NHS (“good”) versus the
U.S. health system (“bad”), with an equally polemical comparison of the NHS
(“bad”) with continental Europe (“good”).
As a result, taxes were raised in 2003 in the U.K. with the explicit goal of
raising the percentage of GDP attributable to health care.77
It is beyond the scope of this report to delve into a specific comparison of the
U.K. and U.S. health care systems. However, the preceding discussion illustrates that
the different characteristics of one system, which may initially appear advantageous,
can also bring different challenges with which policy makers must grapple.
Earlier in this report, there was a discussion of insurers’ administrative costs.
Health care providers also face their own administrative costs, which include billing
and insurance-related (BIR) functions. Although international comparisons of these
costs are difficult, they have been included in comparisons between the United States
and Canada, for example. One study found that “administration accounted for 31.0
75 George Trefgarne, “NHS reachs 1.4m employees,” U.K. Telegraph, March 23, 2005,
[http://www.telegraph.co.uk/money/main.jhtml?xml=/money/2005/03/23/cnnhs23.xml].
76 Elizabeth Docteur, “Reforming Health Systems in OECD Countries,” presentation at
OECD Breakfast Series, Washington, DC, June 26, 2003, available at
[http://www.oecdwash.org/PDFILES/health2003_wash.pdf].
77 Simon Stevens, “Reform Strategies for the English NHS,” Health Affairs, May/June 2004,
vol. 23, no. 6, pp. 37-44, available at [http://content.healthaffairs.org/cgi/reprint/
23/3/37.pdf].

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percent of health care expenditures in the United States and 16.7 percent of health
care expenditures in Canada.” The researchers found that private health insurance
administrative costs in the United States (13.2% of private health insurance
expenditures) were not much higher than in Canada (11.7%). However, the greater
Canadian reliance on public health insurance, with its lower administrative costs, was
seen as being responsible for some of the overall differences. They also found that
providers’ administrative costs were lower in Canada.78 A critic of this study has
argued that the difference between these two countries’ administrative costs should
be calculated a different way, whereby overhead costs would be $572 higher in the
United States than Canada, instead of $752 higher.79
78 Steffie Woolhandler et al., “Costs of Health Care Administration in the United States and
Canada,” New England Journal of Medicine, August 21, 2003, vol. 349, no. 8, p. 768.
79 Henry J. Aaron, “The costs of health care administration in the United States and Canada -
questionable answers to a questionable question,” The New England Journal of Medicine,
August 21, 2003, vol. 349, no. 8, p. 801, available at [http://content.nejm.org/cgi/
content/extract/349/8/801].

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What Does the United States Get for Its
Health Care Spending?
This section presents study findings concerning certain outcomes in OECD
health care systems. For the United States, many of the results are mixed. For
example, in a study of five OECD countries (the United States, Canada, the United
Kingdom., Australia, and New Zealand), no country emerged as clearly superior.
The United States had the highest breast cancer survival rate but the lowest kidney
transplant survival rate. In terms of preventable diseases, the United States had the
highest prevalence of measles, but the lowest prevalence of Hepatitis B. In terms of
process indicators, the United States had the highest rate of cervical cancer
screenings.80 Another survey found that higher proportions of Americans reported
receiving recommended preventive services for diabetic and hypertensive patients
compared with five other OECD countries. It also found that Americans were the
least likely to have had the same doctor for five years or more, were most likely to
complain that their doctor did not spend enough time with them, and were most
likely to have left an appointment without getting important questions answered.81
A six-country comparison found that the United States was the best provider of
preventive care but had the worst rating in terms of medical errors. This international
survey of practitioners also found that the United States was fifth out of the six
countries in terms of the “patient-centeredness” of care and the coordination of care
between multiple providers. Patients in the United States were most likely to visit
an emergency department for a condition that could have been treated by a regular
doctor. However, once discharged, patients in the United States were less likely to
be re-hospitalized because of complications than patients in four of the other
countries. In the United States, records or test results were the least likely to reach
a doctor’s office in time for an appointment, and U.S. patients were more likely to
be sent for duplicate tests compared with patients in four of the other countries.82
80 Peter S. Hussey, Gerard F. Anderson, Robin Osborn, et al., “How Does The Quality of
Care Compare in Five Countries?” Health Affairs, May/June 2004, vol. 23, no. 3, pp. 89-99,
available at [http://content.healthaffairs.org/cgi/reprint/23/3/89].
81 Karen Davis, Cathy Schoen, Stephen Schoenbaum, et al., “Mirror, Mirror on the Wall: An
Update on the Quality of American Health Care through the Patient’s Lens,” The
Commonwealth Fund, April 2006, available at [http://www.cmwf.org/usr_doc/Davis_
mirrormirror_915.pdf].
82 Karen Davis et al., “Mirror, Mirror on the Wall: An International Update on the
Comparative Performance of American Health Care,” The Commonwealth Fund, May 2007,
[http://www.commonwealthfund.org/usr_doc/Davis_mirrormirrorinternationalpdate_
1027.pdf?section=4039].

























































































































































































































































































































































































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Figure 22. Acute Care Hospital Beds per 1,000 Population, 2004
Japan
8.4
Austria
6.5
Czech Republic
6.4
Germany
6.4
Hungary
5.9
Korea
5.9
Slovak Republic
5.9
Luxembourg
5.7
Belgium
4.8
Poland
4.8
AVERAGE
4.1
Australia
3.8
France
3.8
Greece
3.8
Switzerland
3.8
Italy
3.7
United Kingdom
3.6
Denmark
3.3
Norway
3.1
Canada
3
Finland
3
Portugal
3
Ireland
2.9
Netherlands
2.8
Spain
2.8
United States
2.8
Turkey
2.4
Sweden
2.2
Mexico
1
0
1
2
3
4
5
6
7
8
9
Source: OECD Health Data 2006 (October 2006).
Notes: Data for Canada, Denmark, Italy, Korea, the Netherlands, the Slovak Republic, and Spain are
from 2003; data for Greece are from 2002. Recent data are available only for 28 of the 30 OECD
countries.

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Wait Times. The United States is one of eight OECD countries in which
waiting times for elective surgery are reported to be low. Meanwhile, wait times are
considered a serious health policy issue in 12 OECD countries.83 In these 12
countries, wait times of 1 to 1½ months are common for procedures such as invasive
heart surgery, whereas wait times for procedures like hip or knee replacement cluster
around five months. In a recent survey, a quarter to a third of respondents in Canada,
the United Kingdom, and Australia reported waiting more than four months for a
non-emergency procedure, compared with only 5% of Americans.84
Wait times are usually tied to capacity of the health care system, with low
numbers of hospital beds and physicians typically associated with long wait times.
Interestingly, the United States is the exception to this rule: here, low levels of beds
and health care providers (Figures 15 and 22) have not been accompanied by long
wait times for elective surgery. International trends suggest that wait times are also
associated with low total health spending; however, the exception to this rule is
Japan, which spends only $2,249 on health per capita (compared with $6,102 in the
United States) yet does not have a wait time problem. Wait times are more common
in countries where physicians are paid by salary (such as in the United Kingdom)
instead of on a fee-for-service basis (as in the United States).85
Although the United States does not have long wait times for non-emergency
surgical procedures, this does not appear to be the case for primary care doctor visits.
In a survey of five OECD countries in 2004, U.S. respondents were the second-least
able to make a same-day doctor’s appointment when sick and had the most difficulty
getting care on nights and weekends. They were also the most likely to delay or
forgo treatment because of cost.86
83 Wait times are also reported to be low in Austria, Belgium, France, Germany, Japan,
Luxembourg, and Switzerland. Conversely, wait times are a serious health policy issue in
Australia, Canada, Denmark, Finland, Ireland, Italy, the Netherlands, New Zealand, Norway,
Spain, Sweden, and the United Kingdom. Luigi Siciliani and Jeremy Hurst, “OECD Health
Working Papers No. 7: Explaining Waiting Times Variations for Elective Surgery across
OECD Countries,” Organization for Economics Cooperation and Development, 2003,
available at [http://www.oecd.org/dataoecd/31/10/17256025.pdf].
84 R.J. Blendon et al., “Inequities in Health Care: A Five-Country Survey,” Health Affairs,
May/June 2002, vol. 21, no. 3, pp. 182-191, available at [http://content.healthaffairs.org/
cgi/reprint/21/3/182].
85 Luigi Siciliani and Jeremy Hurst, “OECD Health Working Papers No. 7: Explaining
Waiting Times Variations for Elective Surgery across OECD Countries,” Organization for
Economics Cooperation and Development, 2003, available at [http://www.oecd.org/
dataoecd/31/10/17256025.pdf].
86 Cathy Schoen, Robin Osborn, Phuong Trang Huynh, et al., “Primary Care And Health
System Performance: Adults’ Experiences in Five Countries,” Health Affairs, Web
e x c l u s i ve , O c t o b er 28, 2004, pp. W4-487-W4-503, a va i l a b l e a t
[http://content.healthaffairs.org/cgi/reprint/hlthaff.w4.487v1.pdf]; Karen Davis, Cathy
Schoen, Stephen Schoenbaum, et al., “Mirror, Mirror on the Wall: An Update on the Quality
of American Health Care through the Patient’s Lens,” The Commonwealth Fund, April
2006, available at [http://www.cmwf.org/usr_doc/Davis_mirrormirror_915.pdf].

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Self-Reported Health Status. As shown in Figure 23, 89% of Americans
report their health as being “good,” “very good,” or “excellent” — the third highest
levels in the OECD. Across OECD countries, there is a tendency for increased
spending on health to accompany increased percentages of the population rating
themselves as being in at least “good” health. However, countries that spend less
than the United States on health care nevertheless enjoy similar high levels of
reported health status. In particular, New Zealand, Ireland, and Canada spend a half
to a third as much as the United States, yet the percentages of their populations who
report a “good” or better health status is nearly identical to the United States.87 These
data are self-reported by individuals, so they may reflect differences in how people
from different countries respond about their health status to such a survey, which may
not reflect actual differences in individuals’ health status.
Life Expectancy. The average life expectancy for a person in the United
States is 77 ½ years — slightly below the OECD average, and 4½ years less than top-
rated Japan (Figure 24). Life expectancy is nearly 2½ years longer in Canada than
in the United States. The United States is ranked 22nd out of 30 countries on life
expectancy at birth, but once people reach the age of 65, U.S. life expectancy
improves to a rank of 11th for men and 13th for women out of 30 countries reporting.
Between 1960 and 2004, the United States gained 7.6 years of life expectancy — 2
years less than the OECD average of 9.7 years of additional life expectancy. Life
expectancy tends to increase as countries spend more on health care per capita,
except at very high levels of spending, as in the United States (Figure 24).88
Mortality Rates. The United States has a higher rate of deaths from natural
causes than 17 OECD countries (Table 5). The higher U.S. number of premature
deaths (before the age of 70) from all causes except external causes (e.g., accidents)
results in an average of 35.9 years of life lost per 1,000 people in the United States
— a loss of roughly 7 additional years compared to the OECD average of 29 years
of lost life per 1,000 people.
The top three causes of death in OECD countries are heart disease, cancer, and
respiratory disease.89 Death rates for heart disease in the United States are the 17th
worst in the OECD, despite the fact that the United States performs substantially
more invasive heart procedures than all other countries in the OECD (Figure 9).
However, since the OECD data do not provide the incidence of heart disease in the
underlying population (which may be driven by more fundamental demographic
characteristics), it is difficult to assess whether the death rates and frequency of
certain procedures are appropriate or not.
87 There appears to be no relationship between the proportion of a country’s population that
is elderly and the percentage of the population that reports being in “good” or better health.
88 For more information, see CRS Report RL32792, Life Expectancy in the United States,
by Laura Shrestha.
89 Heart diseases include ischemic heart diseases, acute myocardial infarction, and
cerebrovascular diseases. Respiratory diseases include influenza, pneumonia, bronchitis,
asthma, and emphysema.

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As previously discussed, there are two diseases in the OECD for which
incidence rates are provided: cancer and AIDS. In both cases, the incidence in the
United States is higher than any other OECD country and well above the OECD
average. Yet the United does not have the highest mortality rates for cancer or AIDS.
For deaths resulting from cancer, the United States ranks 14th. For deaths resulting
from AIDS, the United States ranks second (4.2 deaths per 100,000 population)
behind Portugal (8.6).
In terms of respiratory diseases, the United States ranks 24th out of 30 countries,
with twice as many people dying from respiratory diseases in the United States
compared with the top-ranked countries, France, Switzerland, and Italy. Again,
however, it is difficult to use this directly as a measure of a health care system’s
outcomes without knowing the incidence of respiratory diseases in the respective
populations generally.
Figure 23. Health Spending per Capita and Self-Reported
Health Status, 2004
95
Luxembourg
New Zealand
Canada
Ireland
United States
Switzerland
85

lth
a

75
he
ood"
g

Mexico
" 65
n
Italy
tion i
a
55
popul
t of
n
45
e
rc
e
P

Japan
35
Slovak Republic
25
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
Health spending per capita
Source: OECD Health Data 2006 (October 2006).
Notes: “Good” health refers to people who reported their health status as being either “good,” “very
good,” or “excellent.” For Canada, Hungary, Ireland, Italy, New Zealand, the Slovak Republic, Spain,
Turkey, and the United Kingdom, data are from 2003; for the Czech Republic, Mexico, Norway, and
Switzerland, data are from 2002; for Korea, data are from 2001; and for Denmark, data are from 2000.
Health care spending per capita is based on estimates or prior-year spending for 15 countries
(Belgium, Canada, Czech Republic, Denmark, France, Greece, Iceland, Japan, Luxembourg,

CRS-50
Netherlands, Portugal, Slovak Republic, Spain, Sweden and Switzerland). Dollars are adjusted for
U.S. dollar purchasing power parity. R-squared of 0.55. Recent data are available only for 25 of the
30 OECD countries.
Figure 24. Health Spending per Capita and
Life Expectancy, 2004
90
85
Japan
Switzerland
80
Canada
Norway
United States
cy
Luxembourg
tan
c
e
75
p
x

ife E
L

70
65
60
$0
$1,000
$2,000
$3,000
$4,000
$5,000
$6,000
$7,000
Health Spending per Capita
Source: OECD Health Data 2006 (October 2006).
Notes: Life expectancy data are from 2003 for seven countries: Ireland, Italy, Korea, Luxembourg,
Portugal, United Kingdom, and the United States. Dollars are adjusted using U.S. dollar purchasing
power parities. Health care spending per capita is based on estimates or prior-year spending for 15
countries (Belgium, Canada, Czech Republic, Denmark, France, Greece, Iceland, Japan, Luxembourg,
Netherlands, Portugal, Slovak Republic, Spain, Sweden and Switzerland). Recent data are available
only for 26 of the 30 OECD countries. The R-squared for this trendline is 0.73.

CRS-51
Table 5. Life Expectancy and Mortality Rates, 2004
Potential years of life
Life expectancy
Mortality rate
lost from natural
at birth
(deaths per 1,000 people) causes, per 1,000 people
Japan
82.1
4.0
19.9
Switzerland
81.2
4.8
23.7
Iceland
81.0
4.8
16.8
Sweden
80.6
5.3
20.7
Australia
80.6
4.9
23.6
Spain
80.5
5.3
27.0
France
80.3
5.1
29.2
Norway
79.9
5.3
23.2
Canada
79.9
5.2
25.5
Italy
79.7
5.1
24.7
Austria
79.3
5.4
26.3
New Zealand
79.2
5.6
29.2
Netherlands
79.2
5.7
25.8
Greece
79.0
6.0
24.2
Finland
78.8
5.3
25.2
Belgium
78.8
N/A
N/A
Germany
78.6
5.6
27.1
United Kingdom
78.5
6.2
30.3
Ireland
78.3
6.5
29.5
Luxembourg
78.0
5.3
25.0
Denmark
77.6
6.7
30.7
United States
77.5
6.1
35.9
Portugal
77.4
6.4
33.8
Korea
77.4
6.4
30.7
Czech Republic
75.8
7.5
32.1
Mexico
75.2
N/A
N/A
Poland
75.0
7.8
43.1
Slovak Republic
74.1
8.6
45.3
Hungary
72.8
9.1
55.2
Turkey
71.2
N/A
N/A
AVERAGE
78.3
5.9
29.0
Source: OECD Health Data 2006 (October 2006).
Notes: Data sorted by life expectancy at birth. Mortality rate and potential years of life lost due to
premature death do not include deaths from external causes. Potential years of life lost due to
premature death is the sum of all deaths occurring at each age multiplied by the number of remaining
years to live to age 70. “N/A” means not available. Data on life expectancy are from 2003 for seven
countries: Ireland, Italy, Korea, Luxembourg, Portugal, United Kingdom, and the United States. Data
on mortality rate are from previous years for all but six countries (Austria, the Czech Republic,
Finland, Germany, Luxembourg, and the Netherlands): for Greece, Hungary, Iceland, Japan, Norway,
Poland, Portugal, and Spain, the data are from 2003; for Australia, Canada, France, Ireland, Italy,
Korea, the Slovak Republic, Sweden, Switzerland, the United Kingdom, and the United States, the
data are from 2002; for Denmark, the data is from 2001; and for New Zealand, the data is from 2000.
Data on potential years of lost life are from previous years for all but six countries (Austria, the Czech
Republic, Finland, Germany, Luxembourg, and the Netherlands): for Greece, Hungary, Iceland, Japan,
Norway, Poland, and Portugal, data are from 2003; for Australia, Canada, France, Ireland, Italy,
Korea, the Slovak Republic, Spain, Sweden, Switzerland, the United Kingdom, and the United States,
the data are from 2002; for Denmark, the data is from 2001; and for New Zealand, the data is from
2000.

CRS-52
Medical Errors. The United States has the third-highest rate of deaths from
medical errors, among 26 countries reporting (Figure 25). This poor ranking could
be due to differences in reporting methodologies across OECD countries, higher rates
of surgical procedures performed by doctors in the United States, or actual
differences in the quality of medical care relative to other countries. In a 2004 poll,
Americans were slightly more likely to report being given a wrong medication or
dose (13%, compared with 9%-10% in the four other English-speaking OECD
countries in the survey).90
Infant Mortality Rates. The United States has the third-highest infant
mortality rate in the OECD, after Turkey and Mexico, as shown in Figure 26.
However, this statistic is likely somewhat overstated because of differences in
methodology. The United States is one of eight countries that counts very premature
babies with low chances of survival as “live births,” which has the effect of
increasing infant mortality rates over what they otherwise would be. Nevertheless,
among the eight countries that report live births using the same methodology, the
United States has the highest rate of infant mortality. Even with more consistent
methodology, the U.S. ranking — which has been slipping over time — would
probably not significantly improve.91
90 Karen Davis, Cathy Schoen, Stephen Schoenbaum, et al., “Mirror, Mirror on the Wall: An
Update on the Quality of American Health Care through the Patient’s Lens,” The
Commonwealth Fund, April 2006, available at [http://www.cmwf.org/usr_doc/Davis_
mirrormirror_915.pdf].
91 A 1990 analysis that added late fetal deaths in its calculation of infant mortality rates
found that the United States was ranked 10th out of 13 countries on this measure. This is
only slightly better than the United States’ rank using the more traditional methodology,
which resulted in a rating of 13th out of 13 countries. U.S. Congress, Office of Technology
Assessment, International Health Statistics: What the Numbers Mean for the United States
— Background Paper
, OTA-BP-H-116 (Washington, DC: U.S. Government Printing
Office, November 1993), available at [http://www.wws.princeton.edu/ota/disk1/1994/9418/
9418.PDF], pp. 31, 35, 46.

































































































































































































































































































































































































































































































































































































































































































CRS-53
Figure 25. Deaths from Medical Errors per 100,000 Population,
2004
Finland
0
Norway
0
Czech Republic
0.1
Denmark
0.1
Slovak Republic
0.1
Hungary
0.2
Ireland
0.2
Japan
0.2
Korea
0.2
Netherlands
0.2
New Zealand
0.2
Portugal
0.2
AVERAGE
0.4
Australia
0.4
Italy
0.4
Luxembourg
0.4
Canada
0.5
France
0.5
Poland
0.5
Spain
0.5
United Kingdom
0.5
Germany
0.6
Iceland
0.6
Sweden
0.6
United States
0.7
Austria
0.9
Greece
0.9
0
0.2
0.4
0.6
0.8
1
Source: OECD Health Data 2006 (October 2006).
Notes: Excludes surgical and medical procedures that are performed correctly but cause abnormal
reactions in patients. Data for Greece, Hungary, Iceland, Japan, Norway, Poland, Portugal, and Spain
are from 2003; for Australia, Canada, France, Ireland, Italy, Korea, the Slovak Republic, Sweden, the
United Kingdom, and the United States, the data are from 2002; for Denmark, the data are from 2001;
for New Zealand, the data are from 2000. Recent data are available only for 26 of the 30 OECD
countries. The reported differences could be due to differences in reporting methodologies across the
OECD, higher rates of surgeries performed by doctors in some countries, or actual differences in care.


















































































































































































































































































































































































































































































































































































































































































































































































































































































































































































CRS-54
Figure 26. Infant Mortality Rates per 1,000 Live Births, 2004
Turkey
24.6
Mexico
19.7
United States
6.9
Poland
6.8
Slovak Republic
6.8
Hungary
6.6
New Zealand
6.2
AVERAGE (All Countries)
5.7
Canada
5.3
Korea
5.3
United Kingdom
5.1
Ireland
4.9
Australia
4.7
Austria
4.5
Denmark
4.4
Belgium
4.3
Switzerland
4.2
Germ
g any
4.1
Greece
4.1
Italy
4.1
Netherlands
4.1
Portugal
4.0
AVERAGE (Reporting Premature Births)
4.0
France
3.9
Luxembourg
3.9
Czech Republic
3.7
Spain
3.5
Finland
3.3
Norway
3.2
Sweden
3.1
Iceland
2.8
Japan
2.8
0
5
10
15
20
25
30
Source: OECD Health Data 2006 (October 2006).
Notes: Infant mortality rate is the number of deaths of children who are under one year of age,
expressed per 1,000 live births. OECD countries differ in how they calculate the number of live births:
countries represented by light shaded bars register very premature babies with low odds of survival
as live births (Canada, Denmark, Finland, Iceland, Japan, Norway, Sweden, and the United States);
countries represented by dark shaded bars do not count these as live births. Numbers are from a
previous year for four countries: for Canada and the United States, data are from 2003; for Korea and
New Zealand, data are from 2002.

CRS-55
Does the United States Spend “Too Much” on
Health Care?
Health economists are divided over whether the amount the United States
spends on health care is “too much.” Some economists have produced cost-benefit
analyses finding that increased life expectancy and better health have been “worth the
increased cost of care.”92 Researchers also determined that, with respect to the seven
years of additional life expectancy gained between 1960 and 2000, an average of
$19,900 was spent per year of life gained. They concluded that “the increases in
medical spending since 1960 have provided reasonable value.”93 However, the
amount spent per year of life gained varied depending on the decade and the age
cohort. For example, the average cost of each year of life gained for individuals 65
and older was $145,000 between 1990 and 2000, which the authors indicated “fails
to meet many cost-benefit criteria.”94
Others have argued that just because benefits exceed costs does not mean U.S.
health dollars are being spent as efficiently as they could be. Because the average
OECD country experienced larger gains in life expectancy than the United States
between 1960 and 2000 while spending less than the United States on health care,
these countries would presumably have larger benefit-cost ratios using the above
methodology. Some economists have pointed to studies finding that higher-cost,
higher-intensity care is not associated with better health outcomes for Medicare
patients.95 Several have used the term “flat-of-the-curve medicine” to characterize
much of the care provided in the United States, referring to the practice of providing
extra medical care that provides little or no additional health benefit.96 Others have
argued that when the government is paying the bill (as in the Medicare program),
92 David M. Cutler and Mark McClellan, “Is Technological Change In Medicine Worth It?”
Health Affairs, September/October 2001, vol. 20, no. 5, pp. 11-29, available at
[http://content.healthaffairs.org/cgi/reprint/20/5/11].
93 David M. Cutler, Allison B. Rosen, and Sandeep Vijan, “The Value of Medical Spending
in the United States, 1960-2000,” The New England Journal of Medicine, August 31, 2006,
vol. 355, no. 9, p. 920, available at [http://content.nejm.org/cgi/content/abstract/355/9/920],
subscription required. Cutler and colleagues find that each year of life expectancy gains
costs more than the last — the gain of an additional year of life expectancy cost $7,400 in
the 1970s, but the most recent additional year cost $36,300 in the 1990s.
94 Ibid, p. 924.
95 See, for example: Elliott S. Fisher et al., “The Implications of Regional Variations in
Medicare Spending. Part 1: The Content, Quality, and Accessibility of Care,” Annals of
Internal Medicine,
February 18, 2003, vol. 138, pp. 273-287, available at
[http://www.annals.org/cgi/reprint/138/4/273.pdf]. Patients received 60% more care in
some regions, yet had a similar baseline health status as patients in lower-spending regions.
96 Victor R. Fuchs, “More Variation In Use of Care, More Flat-Of-The-Curve Medicine,”
Health Affairs, Web exclusive, October 2, 2004, pp. VAR-104-VAR-107, available at
[http://content.healthaffairs.org/cgi/reprint/hlthaff.var.104v1]; Katherine Baicker and
Amitabh Chandra, “Medicare Spending, The Physician Workforce, And Beneficiaries’
Quality of Care,” Health Affairs, Web exclusive, April 7, 2004, pp. W4-184-W4-197,
available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.w4.184v1].

CRS-56
providers should be required to practice more cost-effective medicine, based on an
independent organization’s assessments of the cost-effectiveness of clinical
interventions.97 Finally, another group of economists have argued that increases in
health spending can actually be harmful to national health, because as spending rises,
the cost of health insurance premiums also go up — making it harder for people to
afford coverage and to get access to care.98
Rising health spending is occurring not only in the United States but also in the
vast majority of OECD countries. U.S. growth in health spending was more than
double inflation in 2004, at 6.9%, but this was not much higher than the OECD
average rate of growth, at 6.2%. Over the longer term, health spending between 1970
and 2002 grew slightly faster in the United States (4.3% annually) than the average
OECD country (3.8% annually, among 20 high-income OECD countries studied).
One study by an analyst from CBO broke down growth in health spending into
three parts: growth resulting from a country’s population aging; growth resulting
from increases in economic growth; and “excess growth.”99 That analysis suggested
that, from 1970 to 2002, the United States had below-average aging growth and
economic growth, but nearly double the “excess growth” compared with the 20-
country OECD average (Figure 27). Over time, the rate of annual excess growth had
remained essentially unchanged in the United States, according to that analysis, but
had dropped substantially in other OECD counties. The author stated the following:
“Those countries using public-integrated and public-contract financing models
might have had more success in constraining spending than the United States has
had. The United States, outside of Medicare, does not use a centralized authority
to set health spending budgets or negotiate prices with providers, and this could
contribute to a relative lack of spending constraint. Perhaps because of their
relative success in constraining costs, the health care reforms currently under
way in the OECD are no longer generally focused on cost constraint and are
instead focused on quality of care, output and efficiency in the production of
health care services, and responsiveness to patients’ needs.”100
97 Victor R. Fuchs, “More Variation In Use of Care, More Flat-Of-The-Curve Medicine,”
Health Affairs, Web exclusive, October 2, 2004, pp. VAR-104-VAR-107, available at
[http://content.healthaffairs.org/cgi/reprint/hlthaff.var.104v1]. See also Uwe Reinhardt,
“Variations in California Hospital Regions: Another Wake-Up Call For Sleeping
Policymakers,” Health Affairs, Web exclusive, November 16, 2005, pp. W5-549-W5-551,
available at [http://content.healthaffairs.org/cgi/reprint/hlthaff.w5.549v1?ck=nck].
98 Richard Kronick and Todd Gilmer, “Explaining The Decline in Health Insurance
Coverage, 1979-2005,” Health Affairs, vol. 18, no. 2, March/April 1999, available at
[http://content.healthaffairs.org/cgi/reprint/18/2/30].
99 Excess growth is defined by this researcher as “the rate of increase in real health spending
per capita above and beyond the increase attributable to economic growth and population
aging.”
100 Chapin White, “Health Care Spending Growth: How Different Is The United States From
The Rest Of The OECD?” Health Affairs, January/February 2007, vol. 26, no. 1, pp. 154-
161, available at [http://content.healthaffairs.org/cgi/reprint/26/1/154], subscription
required. White is a CBO analyst, but his views do not necessarily reflect those of CBO.









































































































































































































































































































































































































CRS-57
Figure 27. Annual “Excess Growth” (Growth Not Attributable to
Demographic or Economic Changes) in Health Spending per Capita,
1970-1985 and 1985-2002
Netherlands
Ireland
Denmark
Finland
Greece
Denmark
Canada
Japan
Finland
Sweden
Sweden
Luxembourg
Austria
Canada
United Kingdom
France
Switzerland
Austria
Japan
Germany
AVERAGE
AVERAGE
United States
Netherlands
Germany
Australia
Australia
Belgium
Spain
Spain
Norway
Greece
France
United Kingdom
Iceland
Norway
Luxembourg
Iceland
Ireland
Portugal
Belgium
Switzerland
Portugal
United States
0%
1%
2%
3%
4%
5%
0%
1%
2%
3%
4%
5%
1970-1985
1985-2002
Source: Chapin White, “Health Care Spending Growth: How Different Is The United States From The
Rest Of The OECD?” Health Affairs, 2007, vol. 26, no. 1, pp. 154-161, available at
[http://healthaff.highwire.org/cgi/reprint/26/1/154], subscription required.
Notes: For the 1985-2002 period, three countries had negative rates of excess growth (not shown):
Ireland (-0.6%), Finland (-0.4%), and Denmark (-0.1%).

CRS-58
Historically, growth in health spending in the United States has been
accompanied by increases in the share of health spending that is publicly financed
(from 25% in 1960 to 45% in 2005) and a lowering of the proportion of health
spending that is paid out-of-pocket (from 47% in 1960 to 12.5% in 2005).101 It may
be reasonable to expect these trends to continue, if growth in health spending persists
at its current pace.
Conclusion
Summary of Findings
Total Spending. In 2004, the United States spent more than twice as much
on health care as the average OECD country, at $6,102 per person (compared with
the OECD average of $2,560). Health care spending comprised 15.3% of the U.S.
GDP in 2004, compared with an average of 8.9% for the average OECD country
(Figure 1). Although a country’s health expenditures are highly correlated with GDP
(Figure 2), U.S. health spending is nevertheless 60% greater than its GDP alone
would predict.
Health Care Resources. The United States has fewer hospital admissions
(Figure 3) and doctor visits (Figure 4) than the average OECD country. The United
States has a below-average number of hospital beds (Figure 22) and practicing
physicians per population (Figure 15), but its number of nurses per population is
roughly the same as the OECD average. The United States has a higher than average
number of staff per hospital bed (Figure 10) and nurses per bed (Figure 11). The
length of hospital stays in the United States are the same as the OECD average
(Figure 5).
The United States spent a per capita average of $2,668 on outpatient care in
2004 — three-and-a-half times the OECD average. In most OECD countries, visits
to general practitioners outnumber visits to specialists — but not in the United States.
The United States has a greater supply of advanced technological equipment than
other OECD countries, with nearly twice as many CT scanners per capita as the
OECD average (Figure 12) and three times as many MRI machines (Figure 13).
The United States also performs far more heart procedures per population than the
average OECD country (Figure 9), and an above-average amount of organ
transplants per capita, but does not perform more of all types of surgical procedures.
Pharmaceuticals. The United States spends more on prescription drugs per
capita than any other OECD country (Figure 18). The United States also consumes
more prescription drugs than most OECD countries, according to a nine-country
study (Figure 17). That study found that the United States paid more for brand name
drugs but less for generic drugs than other OECD countries (Figure 16).
101 National Health Expenditures by type of service and source of funds, CY 1960-2005,
National Health Expenditure Data, Centers for Medicare & Medicaid Services, available at
[http://www.cms.hhs.gov/NationalHealthExpendData/02_NationalHealthAccounts
Historical.asp].

CRS-59
Health Administration and Insurance. Spending on health administration
and insurance cost $465 per person in the United States in 2004, which was seven
times that of the OECD median (Figure 20). Americans pay less out-of-pocket for
health care (as a percentage of total health care spending) than residents of most
OECD countries (Figure 21).
Prices. Although OECD data does not compare prices of medical care, other
studies have found that the United States pays higher prices for medical care than
countries such as Canada and Germany. Part of the reason for this may be that U.S.
general practitioners and nurses are the highest paid in the OECD, and U.S.
specialists are the third-highest paid in the OECD (Table 2). Health professionals
in wealthier countries earn higher salaries than those in poorer countries (Figure 14),
but even accounting for this, U.S. health professionals are paid significantly more
than the U.S. GDP would predict (for example, specialists are paid approximately
$50,000 more than would be expected). However, U.S. health care professionals also
enter the careers with substantially more educational debt than in other OECD
countries. For example, in 2006, 62% of new U.S. medical school graduates had
educational debt exceeding $100,000.102
Population Risk Factors. The United States had a lower than average
proportion of the population that is elderly in 2004, and lower than average rates of
smoking and drinking. The United States consumes more calories and sugar per
capita than any other OECD country: the United States consumes 156 pounds of
sugar per person per year, compared with 99 pounds in the average OECD country.
In 2004, 34% of Americans were overweight and an additional 32% were obese.
Obesity is associated with a 77% increase in consumption of medications and a 36%
increase in inpatient and outpatient spending, according to one study.
Quality. In terms of quality of health care, a five-country study found that each
of the five countries studied (the United States, Canada, the United Kingdom,
Australia, and New Zealand) had the best and worst health outcomes on at least one
measure, but no country emerged as a clear quality leader. For example, the United
States had the highest breast cancer survival rate but the lowest kidney transplant
survival rate. A six-country study (the United States, Canada, the United Kingdom,
Australia, New Zealand, and Germany) found that Americans were most likely to
report receiving specific recommended preventive services for diabetic and
hypertensive patients, but were most likely to complain that their doctor did not
spend enough time with them and did not have a chance to answer all of their
questions.
Wait Times. The United States is one of eight countries in which wait times
for elective surgery are reported to be low. In a recent survey, a quarter to a third of
respondents in Canada, the United Kingdom, and Australia reported waiting more
than four months for a non-emergency procedure, compared with only 5% of
Americans. In terms of doctor visits to primary care physicians, a five-country
102 Association of American Medical Colleges, “2006 Medical School Graduation
Questionnaire: All Schools Report, FINAL,” p. 49, available at [http://www.aamc.org/
data/gq/allschoolsreports/2006.pdf].

CRS-60
survey found that Americans had the greatest difficulty getting care on nights and
weekends and were the most likely to forgo care because of cost.
Health Outcomes. The United States has the third-highest percentage of the
population that reports their health status as being “good,” “very good,” or
“excellent” (Figure 23). However, the United States has below-average life
expectancy (Figure 24) and mortality rates (Table 5). The United States has the
third-highest rate of deaths from medical errors (Figure 25) and the highest infant
mortality rate among the eight countries that report this metric similarly (Figure 26).
However, such measures are often subjective or limited by differing measurement
methodologies. They may also reflect fundamental population differences (in
underlying health, for example) rather than differences in countries’ health care
systems. These are just some of the difficult research issues facing international
comparisons like those used in this report.