It is Not Just the Prices! The Role of Chronic Disease in Accounting for Higher Health Care Spending in the United States
- 1. Rollins School of Public Health, Emory University, USA
- 2. National Pharmaceutical Council (NPC), USA
Abstract
Objective: To determine the impact of chronic disease prevalence on per capita health care spending in the United States and Europe. Prior studies have focused on higher reimbursement rates --the prices-- in the United States compared to other countries. However, other factors also account for the higher per capita health care spending in the United States. This paper examines another source, the substantially higher rates of chronic diseases such as cancer, diabetes, and cardiovascular disease as a factor accounting for the difference.
Methods: We compare the prevalence of the most common and expensive chronic conditions in the United States and nine European countries. A regression model was developed to predict the marginal impact of chronic disease on per capita spending. Using European chronic disease prevalence rates, we estimate a counterfactual per capita level of spending.
Results: The U.S. had significantly higher rates of obesity and chronic conditions than Europe. Obesity was 16.4 percent higher in the U.S. than in Europe, arthritis was 25.5 percent higher, cardiovascular disease was 10.7 percent higher, and cancer was 9.4 percent higher. Applying the lower European rates of chronic diseases, spending would be 17 percent lower in the United States for those 50 and older.
Conclusion: While higher prices contribute to the higher per capita spending in the United States, the higher prevalence of chronic disease is also a significant contributing factor.
Keywords
- Healthcare spending
- Chronic disease
- Prevalence
- Diabetes
- Cardiovascular disease
- Cancer
Citation
Thorpe KE, Ciarametaro M, Dubois RW (2021) It is Not Just the Prices! The Role of Chronic Disease in Accounting for Higher Health Care Spending in the United States. J Chronic Dis Manag 5(1): 1025.
ABBREVIATIONS
U.S.: United States; OECD: Organisation for Economic Cooperation and Development; SHARE: Survey of Health, Ageing and Retirement in Europe; HRS: Health and Retirement Study; MEPS: Medical Expenditure Panel Survey; GLM: Generalized Linear Model; CI: Confidence Interval
INTRODUCTION
Adjusting for purchasing power (purchasing power parity), the United States (U.S.) spends twice as much per capita ($10,586) compared to the average of other wealthy developed countries ($5,287) [1]. Several studies have attempted to identify the factors accounting for higher U.S. spending [2]. These studies found that hospital discharges and physician visits were lower in the U.S. compared to other wealthy developed countries [3]. On the other hand, the use of expensive surgical procedures, such as coronary artery bypass graft, total knee replacements, and cesarean sections, were higher in the U.S. Similarly, other studies have found that the health system’s capacity (beds, imaging equipment, and the workforce) was similar or lower than in these reference countries [3]. As a result, the general conclusion has been that higher payments to health care providers account for the bulk of the higher U.S. spending [2].
However, compared to Europe, the United States compares unfavorably with respect to several population health measures. These include higher rates of obesity and chronic health care conditions, including heart disease, high blood pressure, high cholesterol, stroke/cerebrovascular disease, diabetes, chronic lung disease, arthritis, and cancer. The higher chronic disease burden in the United States is associated with increased use of health care services and medications.
This paper builds on earlier work and compares the prevalence of chronic disease in the U.S. and Europe [4]. To determine the impact of chronic disease prevalence on per capita health care spending, we develop a counterfactual that estimates per capita spending in the U.S. assuming European prevalence rates of chronic disease. We also estimate per capita spending in the United States assuming the chronic disease prevalence of the healthiest European country—Switzerland.
MATERIALS AND METHODS
Data on per capita spending (adjusted for purchasing power parity), were obtained from the OECD Health Data [5]. Estimates of disease prevalence and medication use rates were obtained from the 2017 Survey of Health, Ageing, and Retirement in Europe (SHARE), and the U.S.-based 2016 Health and Retirement Survey (HRS). The SHARE survey includes detailed data on nine countries, including Austria, Germany, Sweden, Spain, Italy, France, Denmark, Greece, and Switzerland. In addition, we use the Medical Expenditure Panel Survey (MEPS), from 2015 and 2016 to calculate total health spending per person, chronic disease prevalence, and other patient characteristics.
The SHARE survey was modeled after the HRS survey and is representative of the countries in Europe included in the survey and the United States for the non-institutionalized population aged 50 and above. Since the SHARE survey was modeled after the HRS, it allows for a direct comparison of risk factors such as obesity and smoking as well as chronic disease prevalence for the most expensive and common conditions. Detailed descriptions of the three surveys used in the analysis are provided elsewhere [6- 8].
We calculate obesity, smoking prevalence, and the prevalence of 8 chronic diseases reported in Europe and the United States as well as countries within Europe participating in the SHARE survey. The physician-diagnosed conditions include heart disease, high blood pressure, high cholesterol, stroke, diabetes, chronic lung disease, arthritis, and cancer. We also display the percent of these chronically ill patients taking medications if they responded positively to the query: “Do you currently take medication at least once a week for each of the conditions?” Using these results, we compare the prevalence and medication rates for each of the eight chronic conditions that were included in both the United States and European surveys to calculate the percent taking medications. In addition, temporal trends were analyzed by comparing 2015/2016 differences between Europe and the United States with differences in 2004.
Using the MEPS data from 2015, we calculate total health care spending per person for all adults aged 50 and above. Using this as the dependent variable, we then include dummy variables for ten chronic conditions, as well as three age categories (50-64, 65- 74, 75 plus), gender, race and ethnicity dummies, family income, educational attainment, employment status and current health insurance coverage (uninsured, Medicare, Medicaid, private health insurance). The ten chronic conditions included the 8 conditions above plus osteoporosis and asthma, which were not available for comparison between the United States and Europe; however, they have significant prevalence in the United States. Obesity is not a MEPS variable and therefore was excluded from the regression. Following previous work, we used a GLM model with log-link to run the regression [9].
Using the regression results, we calculate a counterfactual spending amount in the United States assuming the lower European chronic disease prevalence levels. The GLM model allows us to calculate the marginal impact on spending for each of the chronic health care conditions. We then calculated the marginal effects of each condition at the mean prevalence for each. Using the prevalence data from Europe, we adjusted the U.S. average predicted expenditures based on the change in European prevalence times the marginal effect. All other non-chronic disease covariates remained at the original U.S. levels. In addition to comparing the U.S. to the eight European countries, we also compared a low chronic disease prevalence country, Switzerland, to estimate what U.S. spending might be based upon their chronic disease prevalence.
RESULTS AND DISCUSSION
Comparing Chronic Condition Prevalence
Table 1 compares the prevalence of obesity, smoking, and several chronic conditions in the U.S. and European countries. For each of the eight conditions examined, chronic disease prevalence was higher in the United States. Among those 50 and older, nearly 37 percent were considered obese in the United States compared to 20 percent in Europe. As a result, four conditions strongly associated with obesity: heart disease, hypertension, high cholesterol, and type 2 diabetes were double (or nearly in the case of type 2 diabetes) the prevalence in Europe. The higher rate of diabetes in the United States than Europe is consistent with data from the OECD [10]. Among those 50 and older, over 20 percent had heart disease in the U.S. compared to 10.7 percent in Europe. Similarly, approximately 55 percent of those 50 and above had high blood pressure in the U.S. compared to under 40 percent in Europe.
Even larger U.S.-Europe differences were found for arthritis. Over 52 percent of those 50 and older had arthritis in the U.S. compared to 27 percent in Europe—a full 25 percentage point difference. Smaller differences were found for stroke (2.4 percentage points higher in the U.S.) and chronic lung disease (3.9 percent higher in the U.S.).
One striking result was the significantly higher cancer rates among those 50 and above in the U.S. Cancer prevalence averaged 4.7 percent among the 8 European countries compared to over 14 percent in the United States. Whether this is due to more aggressive cancer screening or representing real differences in prevalence in the United States is unclear.
Not only is the prevalence of chronic disease in the United States higher than the European average, but it also exceeds the average for nearly every European country (Table 2). The prevalence of heart disease in the United States among those 50 and above is 21.4 percent. Heart disease prevalence ranges from 7.5 percent in Switzerland to 11.1 percent in Germany. The prevalence of high cholesterol in Europe ranged from 14.1 percent in Switzerland to 30.3 percent in Spain compared to 35.2 percent in the United States (Tables 1 and 2).
Table 1: Prevalence and in the United States and Europe.
MEPS 2015 U.S. | HRS 2016 U.S. | SHARE 2017 EUROPE | ||||||||
N=9,221 Prevalence United States Percent | 95% CI | N = 19,620 Prevalence United States Percent | 95% CI | N = 30,970 Prevalence Europe Percent | 95% CI | U.S./Europe Difference | ||||
Heart Disease | 18.9% | 17.8% | 20.0% | 21.4% | 20.7% | 22.2% | 10.7% | 10.2% | 11.3% | 10.7% |
High Blood Pressure | 46.5% | 44.9% | 48.1% | 54.9% | 54.0% | 55.9% | 40.1% | 39.2% | 41.0% | 14.9% |
High Cholesterol | 36.7% | 35.2% | 38.1% | 35.2% | 34.2% | 36.1% | 23.3% | 22.5% | 24.1% | 11.9% |
Stroke/cerebrovascular disease | 2.7% | 2.3% | 3.1% | 5.9% | 5.5% | 6.3% | 3.5% | 3.2% | 3.8% | 2.4% |
Diabetes | 18.6% | 17.6% | 19.5% | 22.5% | 21.8% | 23.3% | 12.9% | 12.3% | 13.5% | 9.6% |
Chronic lung disease | 18.3% | 17.1% | 19.5% | 9.6% | 9.1% | 10.1% | 5.7% | 5.3% | 6.1% | 3.9% |
Arthritis | 26.4% | 25.1% | 27.6% | 53.3% | 52.3% | 54.2% | 27.8% | 26.9% | 28.6% | 25.5% |
Cancer | 12.7% | 11.8% | 13.6% | 14.1% | 13.5% | 14.7% | 4.7% | 4.3% | 5.1% | 9.4% |
Obese | 33.0% | 31.7% | 34.3% | 36.7% | 35.4% | 37.9% | 20.3% | 19.5% | 21.0% | 16.4% |
Current smoker | 13.4% | 12.5% | 14.4% | 13.8% | 13.1% | 14.5% | 19.7% | 18.8% | 20.5% | -5.9% |
Former smoker | 39.9% | 39.0% | 40.9% | 28.2% | 27.4% | 29.0% | 11.7% | |||
Never smoked | 46.3% | 45.3% | 47.2% | 52.1% | 51.2% | 53.1% | -5.8% | |||
Abbreviations: SHARE: Survey of Health, Ageing and Retirement in Europe; HRS: Health and Retirement Study; MEPS: Medical Expenditure Panel Survey; CI: Confidence Interval |
Table 2: Chronic Disease Prevalence in Europe 2017.
Heart Disease | High Blood Pressure | High Cholesterol | Stroke/ Cerebro-vascular disease | Diabetes | Chronic lung disease | Arthritis | Cancer | Obese | Current smoker | Former smoker | Never smoked | |
Prevalence Austria Percent 95% C |
11.0% | 40.4% | 21.1% | 6.0% | 11.5% | 6.3% | 15.0% | 4.0% | 20.8% | 22.7% | 23.2% | 54.1% |
9.8% | 38.0% | 19.3% | 5.0% | 10.1% | 5.3% | 13.3% | 3.1% | 18.9% | 20.4% | 21.1% | 51.7% | |
12.3% | 42.7% | 22.8% | 7.0% | 12.8% | 7.4% | 16.6% | 4.8% | 22.8% | 24.9% | 25.3% | 56.6% | |
Prevalence Germany Percent 95% CI |
11.1% | 45.5% | 20.8% | 4.7% | 14.2% | 8.0% | 31.5% | 6.8% | 23.7% | 21.3% | 28.2% | 50.5% |
10.0% | 43.7% | 19.3% | 3.9% | 12.9% | 6.9% | 29.8% | 5.9% | 22.0% | 19.6% | 26.6% | 48.6% | |
12.3% | 47.4% | 22.4% | 5.5% | 15.5% | 9.1% | 33.3% | 7.8% | 25.3% | 22.9% | 29.9% | 52.4% | |
Prevalence Sweden Percent 95% CI |
9.2% | 36.5% | 14.2% | 3.2% | 10.8% | 4.4% | 22.0% | 3.8% | 17.4% | 12.0% | 39.2% | 48.8% |
8.0% | 34.2% | 12.6% | 2.3% | 9.4% | 3.5% | 20.1% | 3.1% | 15.4% | 10.2% | 36.8% | 46.3% | |
10.3% | 38.9% | 15.7% | 4.0% | 12.3% | 5.2% | 23.9% | 4.5% | 19.3% | 13.8% | 41.6% | 51.3% | |
Prevalence Spain Percent 95% CI |
11.6% | 40.9% | 30.3% | 2.5% | 17.8% | 5.1% | 25.4% | 3.3% | 23.5% | 18.8% | 52.9% | 52.9% |
9.9% | 38.0% | 27.5% | 1.8% | 15.7% | 3.8% | 22.9% | 2.4% | 20.7% | 16.0% | 25.4% | 49.8% | |
13.2% | 43.8% | 33.0% | 3.3% | 19.9% | 6.3% | 27.8% | 4.2% | 26.3% | 21.6% | 31.2% | 56.0% | |
Prevalence Italy Percent 95% C |
8.5% | 41.6% | 24.3% | 2.7% | 11.8% | 3.9% | 18.3% | 3.5% | 14.3% | 18.7% | 23.9% | 57.4% |
7.6% | 39.7% | 22.7% | 2.2% | 10.7% | 3.2% | 16.9% | 2.6% | 13.0% | 16.9% | 22.2% | 55.4% | |
9.4% | 43.5% | 25.9% | 3.3% | 13.0% | 4.6% | 19.7% | 4.3% | 15.7% | 20.5% | 25.5% | 59.5% | |
Prevalence France Percent 95% CI |
12.6% | 31.8% | 21.9% | 3.1% | 5.2% | 5.2% | 38.3% | 4.8% | 20.7% | 18.5% | 31.3% | 50.1% |
11.3% | 29.9% | 20.2% | 2.5% | 9.5% | 4.4% | 36.3% | 4.1% | 19.0% | 16.8% | 29.4% | 48.1% | |
13.8% | 33.6% | 23.5% | 3.8% | 11.8% | 6.0% | 40.2% | 5.6% | 22.3% | 20.3% | 33.2% | 52.2% | |
Prevalence Denmark Percent 95% CI |
9.4% | 34.3% | 24.4% | 3.4% | 8.0% | 7.7% | 27.7% | 4.1% | 17.9% | 19.7% | 38.5% | 41.8% |
8.3% | 32.5% | 22.8% | 2.8% | 7.0% | 6.7% | 26.0% | 3.4% | 16.5% | 18.2% | 36.6% | 40.0% | |
10.5% | 36.0% | 25.9% | 4.1% | 8.9% | 8.7% | 29.3% | 4.8% | 19.4% | 21.3% | 40.3% | 40.3% | |
Prevalence Greece Percent 95% CI |
10.7% | 45.2% | 32.2% | 3.4% | 12.3% | 4.2% | 19.4% | 2.7% | 20.8% | 24.3% | 25.3% | 50.3% |
9.4% | 43.1% | 30.3% | 2.7% | 11.1% | 3.5% | 17.9% | 2.1% | 19.0% | 22.3% | 23.5% | 48.1% | |
11.9% | 47.3% | 34.1% | 4.1% | 13.6% | 5.0% | 20.9% | 3.4% | 22.7% | 26.4% | 27.2% | 52.5% | |
Prevalence Switzerland Percent 95% CI |
7.5% | 28.7% | 14.1% | 1.8% | 6.7% | 4.0% | 24.9% | 4.2% | 13.9% | 22.5% | 27.2% | 50.3% |
6.3% | 26.6% | 12.5% | 1.2% | 5.6% | 3.1% | 22.8% | 3.3% | 12.2% | 20.2% | 25.0% | 47.7% | |
8.8% | 30.9% | 15.8% | 2.3% | 7.8% | 4.9% | 27.0% | 5.0% | 15.7% | 24.8% | 29.3% | 52.8% | |
Abbreviations: CI: Confidence Interval |
Hypertension prevalence ranges from 28.7 percent in Switzerland to 45.5 percent in Germany compared to 54.9 percent in the United States. Finally, diabetes prevalence ranged from 10.8 percent in Sweden to 17.8 percent in Spain compared to 22.5 percent in the United States.
We also compared the most recent differences between the United States and Europe to the differences tabulated using the same two surveys using earlier work from 2004 (Table 3).
Table 3: Trends in U.S.-European Prevalence Rates, 2015/2016 Compared to 2004.
U.S.-Europe Prevalence Difference 2015-2016 | Prevalence Percentage Point Difference 2004 | 2015/16 compared to 2004 | |
Heart Disease | 10.7% | 10.4% | 0.3% |
High Blood Pressure | 14.9% | 17.1% | -2.2% |
High Cholesterol | 11.9% | 2.1% | 9.8% |
Stroke/cerebrovascular disease | 2.4% | 1.8% | 0.6% |
Diabetes | 9.6% | 5.5% | 4.1% |
Chronic lung disease | 3.9% | 4.3% | -0.4% |
Arthritis | 25.5% | 32.5% | -7% |
Cancer | 9.4% | 6.8% | 2.6% |
Obese | 16.4% | 16% | 0.4% |
Current smoker | -5.9% | 3.1% | -9% |
Former smoker | 11.7% | 6.5% | 5.2% |
Never smoked | -5.8% | 9.7% | -15.5% |
SOURCE: SHARE and HRS Abbreviations: SHARE: Survey of Health, Ageing and Retirement in Europe; HRS: Health and Retirement Study |
For three of the chronic conditions examined, the difference in disease prevalence has increased over time. These conditions include high cholesterol (the difference is nearly 10 percentage points higher), diabetes (4.1 percentage points higher), and cancer (2.6 percent points higher). The remaining chronic disease differences remain uniformly higher in the U.S. over time though they are similar to those measured in 2004.
The one positive measure for the U.S. is the increased difference in the share of former smokers in the U.S. compared to Europe. Compared to 2004, the difference is now 5.2 percentage points higher in the U.S. compared to Europe.
Medication Usage Among Chronically Ill
The share of adults (chronic disease prevalence times the prevalence of those taking medication) on medications to treat chronic disease was also higher. For instance, medication use for adults with chronic heart disease was 14.1 percent of adults in the U.S. compared to 9.1 percent in Europe (Table 4).
Table 4: Percent of Chronically Ill Patient Taking Medications.
MEPS 2015 | HRS 2016 | SHARE 2017 | |||||||
N=9,221 Prevalence United States Percent | 95% CI | N = 19,620 Prevalence United States Percent | 95% CI | N = 30,970 Prevalence Europe Percent | 95% CI | ||||
Heart Disease | 14.3% | 13.3% | 15.4% | 14.1% | 13.4% | 14.7% | 9.1% | 8.6% | 9.6% |
High Blood Pressure | 44.5% | 43.0% | 46.1% | 46.9% | 46.0% | 47.9% | 37.6% | 36.7% | 38.4% |
High Cholesterol | 33.6% | 32.2% | 34.9% | 18.1% | 17.4% | 18.8% | |||
Stroke/cerebrovascular disease | 1.3% | 1.1% | 1.6% | 2.2% | 1.9% | 2.5% | 2.1% | 1.9% | 2.4% |
Diabetes | 17.4% | 16.5% | 18.3% | 17.4% | 16.7% | 18.1% | 11.1% | 10.6% | 11.7% |
Chronic lung disease | 14.9% | 13.8% | 15.9% | 5.7% | 5.3% | 6.1% | 2.2% | 1.9% | 2.5% |
Asthma | 5.2% | 4.7% | 5.8% | ||||||
Arthritis | 16.2% | 15.1% | 17.3% | 11.3% | 10.8% | 11.9% | |||
Osteoporosis | 1.5% | 1.2% | 1.8% | ||||||
Cancer | |||||||||
Abbreviations: SHARE: Survey of Health, Ageing and Retirement in Europe; HRS: Health and Retirement Study; MEPS: Medical Expenditure Panel Survey; CI: Confidence Interva |
Similarly, 47 percent of older adults take medication for high blood pressure in the United States compared to 37 percent in Europe. Over 17 percent of adults are taking medication to treat diabetes in the U.S. compared to 11 percent in Europe. Finally, nearly 6 percent of those with chronic lung disease are taking medication to treat the condition compared to 2 percent in Europe.
One aspect of the higher health care spending in the U.S. is the higher spending on prescription drugs. Per capita pharmaceutical spending in the U.S. is $1,443 compared to $749 for similar highincome European countries, Japan and Canada [3]. One aspect of that difference is the higher share of adults taking medications to treat their condition. Among three of the most common chronic conditions associated with obesity, heart disease, hypertension, and type 2 diabetes, the share of adults over 50 treating their condition is uniformly higher than in Europe (Table 4).
Marginal Impact on Per Capita Spending by Condition
We now examine the change in U.S. health care spending, assuming the prevalence of the eight chronic conditions were at European levels. The regression results estimating the marginal effect of each chronic health care condition is reported in Table 5.
Table 5: Average Marginal Effects of Per Capita Health Care Spending By Chronic Condition Among U.S. Adults Aged 50 and Above
dy/dx | Linearized Std. Err. | t | P>|t| | [95% Conf. Interval] | ||
agecat 65-74 75+ |
-1186.612 -2194.071 |
792.1962 873.7713 |
-1.50 -2.51 |
0.136 0.013 |
-2748.555 -3916.852 |
375.3299 -471.2907 |
1.female | 1319.281 | 672.1218 | 1.96 | 0.051 | -5.915471 | 2644.477 |
race NH Black NH Other Hispanic |
-2194.974 -2549.137 -2177.818 | 739.7879 738.3431 851.746 | -2.97 -3.45 -2.56 | 0.003 0.001 0.011 | -3653.585 -4004.899 -3857.172 | -736.3635 -1093.374 -498.4636 |
faminc | .0051996 | .0082923 | 0.63 | 0.531 | -.01115 | .0215493 |
educcat lths somecoll collgrad |
-1208.569 2055.852 1407.848 | 1040.678 1246.567 716.213 | -1.16 1.65 1.97 | 0.247 0.101 0.051 | -3260.433 -401.9557 -4.281575 | 843.294 4513.659 2819.977 |
1.employed | | -2740.323 | 664.0833 | -4.13 | 0.000 | -4049.67 | -1430.976 |
inscat uninsured public |
-5731.042 1014.685 | 697.1805 1000.428 | -8.22 1.01 | 0.000 0.312 | -7105.646 -957.8196 | -4356.439 2987.19 |
1.smkcurrent 1.heartdis 1.highbp 1.lipid 1.cerebr 1.diabetes 1.pulmnry 1.asthma 1.arthritis 1.osteo 1.cancer |
279.3236 7357.884 2697.977 1282.901 13859.88 5247.603 4864.107 2855.841 6607.502 4433.95 7718.64 |
2081.304 989.3351 572.6937 663.7914 3292.663 781.5457 957.5846 1000.179 852.6579 3669.772 1394.984 |
0.13 7.44 4.71 1.93 4.21 6.71 5.08 2.86 7.75 1.21 5.53 |
0.893 0.000 0.000 0.055 0.000 0.000 0.000 0.005 0.000 0.228 0.000 |
-3824.303 5407.251 1568.82 -25.87012 7367.867 3706.66 2976.075 883.8267 4926.35 -2801.596 4968.204 |
4382.95 9308.517 3827.135 2591.673 20351.9 6788.546 6752.139 4827.856 8288.654 11669.5 10469.08 |
The uninsured spend $5,731 less on health care compared to those with insurance. Similarly, workers who are presumably healthier spend $2,740 less on health care compared to the unemployed. Finally, non-Hispanic blacks, and black and Hispanic adults also spend less on health care compared to non-Hispanic whites.
Table 5 also displays the marginal impact on per capita spending for each of the commonly reported chronic health care conditions in the United States and Europe. Adults with heart disease spend $7,358 more per year than those without heart disease. Those with cerebrovascular disease and stroke spend $13,859 more per year than adults that have not had a stroke. Patients with cancer spend over $7,700 more per year compared to those without cancer. The lowest marginal spending effect was among those with elevated cholesterol, spending over $1,280 more compared to those with normal cholesterol levels.
Predicted U.S. Spending at European Chronic Condition Rates
Next, we used the regression results to calculate average predicted spending per capita. As outlined above, we then computed average per capita spending for each of the eight chronic conditions available in both the U.S. and European data. Per capita spending for those 50 and older at U.S. prevalence levels was $10,698 per year (Table 6).
Table 6: Predicted U.S. Spending Per Capita Assuming European and Switzerland Chronic Disease Prevalence Adults aged 50 and Older, 2015/2016.
Per Capita Spending | ||
Europe | Switzerland | |
Predicted U.S. Spending at current chronic disease prevalence | $10,698 | $10,698 |
Predicted U.S. Spending at European chronic disease prevalence | $ 8,841 | $ 7,705 |
Percent Difference with European Prevalence | -17.4% | -28.0% |
In contrast, U.S. spending would have been $8,841 per year, over 17 percent lower than current health care spending at European prevalence levels.
Finally, we estimated a second counterfactual per capita U.S. spending estimate assuming the lowest prevalence of chronic disease measured in Switzerland (Table 6). The predicted U.S. spending levels as above were $10,698 per capita at the current rates of chronic disease prevalence. Chronic disease prevalence is substantially lower in Switzerland than found in the U.S. One condition associated with obesity is diabetes. In Switzerland, the reported rate was 6.7 percent compared to 22.5 percent among those 50 and older in the U.S. Assuming the U.S. had the same rates of chronic disease as Switzerland, per capita spending would be $7,705, some 28 percent lower than current spending.
Impact on U.S. Health Care Spending
Our analysis shows that for 8 highly prevalent and expensive chronic conditions, the prevalence of disease was significantly higher in the United States compared to Europe. If the prevalence of these chronic conditions in the United States were at European levels, health care spending would be 17 percent lower for patients 50 and older-approximately $220 billion per year. Moreover, if the prevalence were at the country with the lowest rates of disease-Switzerland, spending for those 50 and older would be 28 percent lower than our current levels.
Underlying the higher rate of chronic disease in the United States are the significant differences in the share of adults considered obese. Nearly 37 percent of adults aged 50 and older were considered obese in the United States compared to 20 percent in Europe. Indeed, the obesity rate in the United States was higher than any individual country participating in the SHARE survey. Obesity rates ranged from 13.9 percent in Sweden to a high of 27.7 percent in Germany, considerably lower than found in the United States.
The chronic health care conditions we examined are all associated with obesity and lifestyle-related issues. The significantly higher prevalence rates in the United States than Europe are an important factor in why health care spending in the United States is higher than it otherwise could be.
Addressing the high and rising rates of chronic disease in the United States will require effective prevention tools and more effective treatment models. This will require additional investment to prevent the growth in chronic disease through lifestyle behavior interventions. Moreover, the COVID-19 experience also highlights many of our public health infrastructure and primary care shortcomings, both essential tools in preventing and managing chronic disease. We will have to make investments in both as well as evidence-based care coordination to keep adults healthy and reduce health care spending.
Older studies and recent updates examining the sources of the higher spending in the United States compared to Europe have identified higher reimbursement rates as the key factor. In addition, however, to the higher prices in the U.S. the substantial differences in chronic disease prevalence also contribute to the difference. These higher rates in the U.S. increase spending, and in the analysis presented above is reflected in higher use of medications and per capita spending. Per capita spending in the United States would be meaningfully lower if chronic disease prevalence were at European levels. The results point to the need in future research to track both health care prices and differences in chronic disease prevalence between the U.S. and Europe.
Limitations and Generalizability
One limitation of our results is whether the differences in chronic disease prevalence reflect higher prevalence or are an artifact of more intense screening and treatment in the U.S. Moreover, variations between the U.S. and Europe could also reflect differences in the intensity of care provided. Though these are caveats, the substantially higher rates of obesity found in the U.S. compared to Europe would point to a real difference in chronic disease prevalence. Data collected over time by the Centers for Disease Control and Prevention show the close tracking of obesity prevalence trends and trends in type 2 diabetes and other chronic conditions [11].
A second limitation is that we do not directly measure the source of the lower European spending since the SHARE data do not include spending measures. However, the focus of this study is not a direct comparison of health spending in the United States and Europe; instead, we answer the question of how spending in the U.S. would change if it had lower chronic disease prevalence rates.
CONCLUSIONS
Previous research examining higher per capita health care spending in the United States compared to European and other high-income countries have focused on the higher rates of reimbursement --the prices-- in the United States compared to other countries. Our study examines another source of higher per capita spending, the substantially higher rates of chronic diseases such as cancer, diabetes, and cardiovascular disease as a factor accounting for the difference.
Comparing the prevalence of obesity and chronic conditions found significantly higher rates in United States than Europe. Obesity was 16.4% higher in the U.S. than Europe, arthritis was 25.5% higher, cardiovascular disease was 10.7% higher, and cancer was 9.4% higher. Building a counterfactual model using the lower European prevalence rates with U.S. per capita spending, we find that U.S. health care spending for those 50 and older would be 17 percent lower if it had Europe’s levels of chronic conditions. Our findings point to the need to more fully understand the drivers of health care spending beyond prices to adequately address the growth of health care spending in the U.S.
If the United States had chronic disease prevalence rates in line with Europe, health care spending would be approximately $220 billion lower. Efforts to initiate effective prevention, earlier detection, and care coordination initiatives would potentially yield significant financial savings to our health care system.
ACKNOWLEDGEMENTS
The authors thank Brian Sils from NPC for his help editing and formatting the manuscript for submission.
CONFLICTS OF INTEREST
Funding for this project was provided by the National Pharmaceutical Council (NPC). Thorpe is an employee of Emory University. Ciarametaro and Dubois are employees of NPC, an industry-funded health policy research group that is not involved in lobbying or advocacy. All authors participated in the conceptualization and design of the study, the interpretation of the results, and writing or commenting on the final manuscript.
REFERENCES
5. Organisation for Economic Co-Operation and Development (OECD). OECD Health Statistics 2020.
6. SHARE Project. Survey of Health, Aging and Retirement in Europe (SHARE).
7. NIH National Institute on Aging. Health and Retirement Study (HRS).
8. Agency for Healthcare Research and Quality (AHRQ). Medical Expenditure Panel Survey (MEPS).