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Prevalence of Multiple Chronic Conditions Among Medicare Beneficiaries, United States, 2010

Kimberly A. Lochner, ScD; Christine S. Cox, MA

Suggested citation for this article: Lochner KA, Cox CS. Prevalence of Multiple Chronic Conditions Among Medicare Beneficiaries, United States, 2010. Prev Chronic Dis 2013;10:120137. DOI: http://dx.doi.org/10.5888/pcd10.120137.

PEER REVIEWED

Abstract

Introduction
The increase in chronic health conditions among Medicare beneficiaries has implications for the Medicare system. The objective of this study was to use the US Department of Health and Human Services Strategic Framework on multiple chronic conditions as a basis to examine the prevalence of multiple chronic conditions among Medicare beneficiaries.

Analysis
We analyzed Centers for Medicare and Medicaid Services administrative claims data for Medicare beneficiaries enrolled in the fee-for-service program in 2010. We included approximately 31 million Medicare beneficiaries and examined 15 chronic conditions. A beneficiary was considered to have a chronic condition if a Medicare claim indicated that the beneficiary received a service or treatment for the condition. We defined the prevalence of multiple chronic conditions as having 2 or more chronic conditions.

Results
Overall, 68.4% of Medicare beneficiaries had 2 or more chronic conditions and 36.4% had 4 or more chronic conditions. The prevalence of multiple chronic conditions increased with age and was more prevalent among women than men across all age groups. Non-Hispanic black and Hispanic women had the highest prevalence of 4 or more chronic conditions, whereas Asian or Pacific Islander men and women, in general, had the lowest.

Summary
The prevalence of multiple chronic conditions among the Medicare fee-for-service population varies across demographic groups. Multiple chronic conditions appear to be more prevalent among women, particularly non-Hispanic black and Hispanic women, and among beneficiaries eligible for both Medicare and Medicaid benefits. Our findings can help public health researchers target prevention and management strategies to improve care and reduce costs for people with multiple chronic conditions.

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Introduction

The increase in chronic health conditions among Medicare beneficiaries has far-reaching implications for the Medicare system (1,2). Among Medicare beneficiaries, not only are hypertension, high cholesterol, heart disease, and diabetes highly prevalent, but most beneficiaries have multiple chronic conditions. Medicare beneficiaries with multiple chronic conditions are the heaviest users of health care services, including such high-cost services as hospitalizations and emergency department visits, which translates into increased Medicare spending. For example, the two-thirds of beneficiaries with 2 more chronic conditions accounted for 93% of Medicare spending, and the one-third with 4 or more chronic conditions accounted for almost three-fourths of Medicare spending (3).

Although research has focused on chronic conditions such as hypertension, diabetes, and heart conditions (1), the US Department of Health and Human Services (HHS) Initiative on multiple chronic conditions calls for the need to enhance the understanding of chronic condition comorbidities. The HHS Initiative’s strategic framework on multiple chronic conditions offers an organizing structure to address multiple chronic conditions through research, interventions, and health care management and indicates the need to increase the evidence base on the epidemiology of multiple chronic conditions (4,5).

The objective of this study was to use the HHS Strategic Framework on multiple chronic conditions as a basis to examine the prevalence of multiple chronic conditions among Medicare beneficiaries. In combination with the other articles in this issue of Preventing Chronic Disease that address multiple chronic conditions, this study begins to fill the gaps and improve our understanding of the prevalence of multiple chronic conditions across different populations using different data sources.

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Analysis

Medicare is the US federal health insurance program for people aged 65 or older, people younger than 65 with certain disabilities, and people of any age with end-stage renal disease. We examined Centers for Medicare and Medicaid Services (CMS) administrative enrollment and claims data for Medicare beneficiaries enrolled in the fee-for-service program for 2010. These CMS data are available from the CMS Chronic Condition Data Warehouse (CCW), a research database with 100% of Medicare enrollment and fee-for-service claims data that is designed to make CMS data more readily available to support research. (6).

In 2010, there were more than 50 million Medicare beneficiaries. The study population included only those Medicare beneficiaries continuously enrolled in Medicare fee-for-service parts A and B, also known as original or traditional Medicare, for 2010. To obtain a study population of beneficiaries continuously enrolled in fee-for-service Medicare for the entire year, we excluded beneficiaries with any Medicare Advantage enrollment during the year, approximately 17 million beneficiaries, and beneficiaries who first became eligible for Medicare after January of the calendar year. We included beneficiaries who died during the year up to their date of death if they met other inclusion criteria. Our 2010 Medicare fee-for-service study population comprised approximately 31 million beneficiaries and represented approximately 66% of the total Medicare population in 2010.

We included the following 15 chronic conditions in our examination of multiple chronic conditions: Alzheimer’s disease and related dementia, arthritis, asthma, atrial fibrillation, cancer (breast, colorectal, lung, prostate), chronic kidney disease, chronic obstructive pulmonary disease, depression, diabetes, heart failure, hyperlipidemia, hypertension, ischemic heart disease, osteoporosis, and stroke. We considered Medicare beneficiaries to have a chronic condition if the CMS administrative data had a claim indicating that beneficiaries received a service or treatment for the condition. For example, to identify a beneficiary with hyperlipidemia during 2010, at least 1 inpatient, skilled nursing facility, or home health claim or 2 outpatient or carrier claims had to include any of the following diagnosis codes from the International Classification of Diseases, 9th Revision, Clinical Modification: 272.0, 272.1, 272.2, 272.3, 272.4. Detailed information on the identification of chronic conditions in the CCW is available elsewhere (6). Chronic conditions were counted and grouped into 3 categories (0 or 1, 2 or 3, and 4 or more); multiple chronic conditions were defined as having 2 or more chronic conditions. We also identified the most common dyads of chronic conditions among beneficiaries with at least 2 chronic conditions, as well as the most common triads among beneficiaries with at least 3 chronic conditions.

We examined the treated prevalence of multiple chronic conditions by select Medicare beneficiary characteristics: sex, age in years (<65, 65–74, 75–84, and ≥85), dual Medicaid enrollment, also known as “dual eligible,” and race/ethnicity (non-Hispanic white, non-Hispanic black, Hispanic, Asian or Pacific Islander, American Indian or Alaska Native, and non-Hispanic other race.). Because of known limitations in Medicare enrollment data for the classification of a beneficiary’s race/ethnicity, we used the race/ethnicity variable available in the CCW that is based on a validated algorithm that improves the accuracy of race/ethnicity classification (7).

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Results

Among our population of fee-for-service Medicare beneficiaries, 17.1% percent were younger than 65, who receive Medicare primarily as a result of having a disability, and 82.9% were aged 65 or older (Table 1). Female beneficiaries were older than male beneficiaries, particularly in the group aged 85 or older (17.8% of women compared with 10.7% of men). Our study population was 81.2% non-Hispanic white, 9.6% non-Hispanic black, 5.7% Hispanic, and 2.2% Asian or Pacific Islander. Race/ethnicity did not vary greatly between men and women. Approximately one-fifth (21.6%) of Medicare beneficiaries were also eligible for Medicaid; more female beneficiaries were dual-eligible than men.

Overall, 68.4% of Medicare beneficiaries had 2 or more chronic conditions and 36.4% had 4 or more chronic conditions (Table 2). The prevalence of multiple chronic conditions (≥2) increased with age and was higher for women than men across all age groups. Among beneficiaries younger than 65, 48.7% of men had multiple chronic conditions compared with 58.8% of women. In this age group for both men and women, the prevalence of multiple chronic conditions was highest for non-Hispanic blacks and Hispanics (approximately 50% for men and 60%–64% for women) and lowest for Asian/Pacific Islanders (46.8% for men and 50.3% for women). Among beneficiaries 65 and older, 69.1% of men had multiple chronic conditions compared with 73.4% of women. Among men 65 or older, the highest prevalence of multiple chronic conditions was among non-Hispanic whites (69.6%) and the lowest among Hispanics (63.1%), but among women in this age group, the highest prevalence was among non-Hispanic blacks (79.6%) and the lowest among Asian/Pacific Islanders and non-Hispanic whites. When we compared the prevalence of 4 or more chronic conditions with the prevalence of 2 or more, the patterns were similar for beneficiaries younger than 65 but varied for beneficiaries 65 or older (Table 2).

The prevalence of multiple chronic conditions, in particular 4 or more chronic conditions, increased with age ( Table 3). Non-Hispanic black men had the highest prevalence of 4 or more chronic conditions among men aged 65 to 74 and 75 to 84 (34.2% and 46.9%, respectively). For men 85 or older, non-Hispanic whites, non-Hispanic blacks and Hispanics had similar rates of 4 or more chronic conditions (54.6%). For women across all older age groups, non-Hispanic black and Hispanic women had the highest prevalence of 4 or more chronic conditions.

In general, dual-eligible beneficiaries had a higher prevalence of multiple chronic conditions than nondual beneficiaries, and female dual-eligible beneficiaries had a higher prevalence than male dual-eligible beneficiaries at every age (Table 4). Among female dual-eligible beneficiaries, the prevalence of multiple chronic conditions was 81.2% for those aged 65 to 74, 88.0% for those aged 75 to 84, and 91.7% for those aged 85 or older. The prevalence of 4 or more chronic conditions was high for this vulnerable population; approximately two-thirds of beneficiaries that were dual-eligible and aged 85 or older (both men and women) had 4 or more chronic conditions.

Among beneficiaries with 2 or more chronic conditions, the most prevalent dyads included hypertension, hyperlipidemia, diabetes, and ischemic heart disease (Table 5). The most common dyad across all sex and age groups was hypertension and hyperlipidemia; however, among beneficiaries younger than 65, the diabetes and hyperlipidemia was also highly prevalent. Women differed from men in that depression and arthritis were present in the most common dyads. We examined triads of chronic conditions only for beneficiaries who had at least 3 chronic conditions. For beneficiaries younger than 65, the most common triad of chronic conditions was diabetes, hypertension, and hyperlipidemia; 35.4% of men and 32.0% of women had these 3 conditions (Table 6). Among beneficiaries 65 years or older, ischemic heart disease, hypertension, and hyperlipidemia was a common triad; 42.6% of men and 29.4% of women had these 3 conditions.

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Summary

The magnitude of CMS data allowed us to examine multiple chronic conditions by relevant sociodemographic characteristics to identify the Medicare beneficiaries who may benefit most from targeted interventions and health care management strategies aimed at delivering health care in a more effective and efficient manner. More than 21 million Medicare fee-for-service beneficiaries had 2 or more chronic conditions in 2010, and more than 11 million had 4 or more. Our findings support the goals and objectives of the HHS Strategic Framework on multiple chronic conditions, specifically the fourth goal that addresses the need for research to fill knowledge gaps about the epidemiology of multiple chronic conditions (4). Our findings also demonstrate the variation in multiple chronic conditions across demographic groups. Because the number of multiple chronic conditions increases with age and because women generally live longer than men do, the prevalence of multiple chronic conditions is expected to be higher for women. We found that female beneficiaries had a higher prevalence of multiple chronic conditions than male beneficiaries across all age groups. We also found that the prevalence of multiple chronic conditions varied by race/ethnicity. Non-Hispanic black and Hispanic women often had the highest prevalence of multiple chronic conditions. Multiple chronic conditions were more prevalent among the vulnerable population of dual-eligible beneficiaries, who tend to have low incomes or disabilities and be aged 85 or older.

Other studies may have included a larger number and broader set of chronic conditions to estimate the prevalence of multiple chronic conditions (1,2,8). Our estimates were determined on the basis of guidelines established by the HHS Strategic Framework, which defines multiple chronic conditions as having 2 or more chronic conditions and identifies a proposed set of 20 common chronic conditions (9). Our study included 15 of the 20 proposed HHS conditions but excluded several behavioral and other illnesses that are included in the HHS Framework (ie, autism spectrum disorder, schizophrenia, substance abuse [drug and alcohol disorders], HIV, and hepatitis, as well as conditions considered chronic by other sources) (10).

Our study has limitations. We identified chronic conditions through administrative claims in which discrepancies in physician coding could have introduced errors or lack of treatment for a condition could have resulted in misclassification., Also, our findings are applicable to the Medicare fee-for-service population. The CCW does not contain managed care claims or encounter data; therefore, examining multiple chronic conditions among Medicare beneficiaries enrolled in Medicare Advantage plans was not possible. However, our study did include more than 31 million Medicare beneficiaries, including disabled beneficiaries and those dually eligible for Medicaid.

Multiple chronic conditions lead to poor health outcomes, the use of high-cost health services, and increased Medicare spending. Our findings should provide health policy makers and the public health research community a better understanding of the burden of chronic conditions among the Medicare fee-for-service population and provide preliminary insights into developing prevention and management strategies that will improve care and reduce costs for people with chronic conditions.

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Acknowledgments

The authors gratefully acknowledge Anand Parekh, Rick Goodman, Sam Posner, and members of the HHS Multiple Chronic Conditions Data Initiative Work Group for the discussions and collaborations leading to the development of this article. This research received no specific grant from any funding agency in the public, commercial, or nonprofit sectors.

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Author Information

Corresponding Author: Kimberly A. Lochner, ScD, Centers for Medicare and Medicaid Services, Office of the Regional Administrator, 61 Forsyth St SW, Ste 4T20, Atlanta, GA 30303-8909. Telephone: 404-562-7140. E-mail: Kimberly.Lochner@cms.hhs.gov.

Author Affiliation: Christine S. Cox, Centers for Medicare and Medicaid Services, Baltimore, Maryland.

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References

  1. Anderson GF. Medicare and chronic conditions. N Engl J Med 2005;353(3):305–9. CrossRef PubMed
  2. Thorpe KE, Ogden LL, Galactionova K. Chronic conditions account for rise in Medicare spending from 1987 to 2006. Health Aff (Millwood) 2010;29(4):718–24. CrossRef PubMed
  3. Centers for Medicare and Medicaid Services. Chronic conditions among Medicare beneficiaries, chart book. Office of Information Products and Data Analytics; 2011. https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/TheChartSeries/ChronicConditionsChartBook.html. Accessed May 29, 2012.
  4. US Department of Health and Human Services. HHS Initiative on Multiple Chronic Conditions. Office of the Assistant Secretary for Health; 2012. http://www.hhs.gov/ash/initiatives/mcc/. Accessed May 29, 2012.
  5. Parekh AK, Goodman RA, Gordon C, Koh HK. HHS Interagency Workgroup on Multiple Chronic Conditions. Managing multiple chronic conditions: a strategic framework for improving health outcomes and quality of life. Public Health Rep 2011;126(4):460–71. PubMed
  6. Centers for Medicare and Medicaid Services. Chronic condition data warehouse. http://www.ccwdata.org/index.htm. Accessed May 29, 2012.
  7. Eicheldinger C, Bonito A. More accurate racial and ethnic codes for Medicare administrative data. Health Care Finance Rev 2008;29(3):27–42. PubMed
  8. Agency for Healthcare Research and Quality. Healthcare cost and utilization project. chronic condition indicator (CCI) for ICD-9-CM. http://www.hcup-us.ahrq.gov/toolssoftware/chronic/chronic.jsp. Accessed July 16, 2012.
  9. Goodman RA, Posner S, Huang ES, Koh HK. Defining and measuring chronic conditions: 21st century imperatives for research, policy, program, and practice. Prev Chronic Dis . Forthcoming. PubMed
  10. Schneider KA, O’Donnell BE, Dean D. Prevalence of multiple chronic conditions in the United States’ Medicare population. Health Quality Life Outcome 2009;7(82).

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Tables

Return to your place in the textTable 1. Study Population Characteristics for Medicare Fee-for-Service Beneficiaries, 2010
CharacteristicTotal, % (N = 31,313,331)Men, % (n = 13,845,487)Women, % (n = 17,467,844)
Age, y
<6517.120.414.6
≥6582.979.785.4
65–7439.341.337.6
75–8429.027.730.0
≥8514.610.717.8
Sex
Male44.2NANA
Female55.8NANA
Race/ethnicity
Non-Hispanic white81.281.081.3
Non-Hispanic black9.69.49.8
Hispanic5.76.05.5
Non-Hispanic Asian/Pacific Islander2.22.12.2
Non-Hispanic American Indian/Alaska Native0.50.50.5
Non-Hispanic other race0.91.00.8
Dual-eligibility a
Yes21.619.123.7
No78.480.976.3

Abbreviation: NA, not applicable.
a Refers to Medicare beneficiaries who also were eligible for Medicaid.

 

Return to your place in the textTable 2. Percentage of Medicare Fee-for-Service Beneficiaries With Chronic Conditions, by Sex, Age, and Race/Ethnicity, 2010
CharacteristicNo. of Chronic Conditions
0 or 12 or 3≥4
Total (N = 31,313,331)31.532.036.4
Men
Aged <65 (n = 2,817,692)51.326.022.7
Non-Hispanic white51.926.321.9
Non-Hispanic black50.125.224.8
Hispanic49.425.625.0
Non-Hispanic Asian/Pacific Islander53.225.421.4
Non-Hispanic American Indian/Alaska Native52.225.722.1
Non-Hispanic other race51.026.322.7
Aged ≥65 (n = 11,027,795)30.931.237.9
Non-Hispanic white30.431.737.9
Non-Hispanic black31.528.340.2
Hispanic36.926.037.1
Non-Hispanic Asian/Pacific Islander32.133.034.9
Non-Hispanic American Indian/Alaska Native33.129.837.1
Non-Hispanic other race37.830.931.3
Women
Aged <65 (n = 2,548,598)41.230.328.5
Non-Hispanic white42.730.526.9
Non-Hispanic black36.030.233.8
Hispanic39.829.131.0
Non-Hispanic Asian/Pacific Islander49.628.721.6
Non-Hispanic American Indian/Alaska Native41.530.228.3
Non-Hispanic other race46.829.423.8
Aged ≥65 (n = 14,919,246)26.634.139.3
Non-Hispanic white27.234.538.3
Non-Hispanic black20.532.946.7
Hispanic24.828.946.4
Non-Hispanic Asian/Pacific Islander27.835.336.9
Non-Hispanic American Indian/Alaska Native27.633.039.4
Non-Hispanic other race34.333.132.6

 

Return to your place in the textTable 3. Percentage of Medicare Fee-for-Service Beneficiaries Aged ≥65 With Chronic Conditions, by Sex, Expanded Age, and Race/Ethnicity, 2010
CharacteristicNo. of Chronic Conditions
0 or 12 or 3≥4
Total (n = 25,947,041)28.432.938.7
Men
Aged 65–74 (n = 5,719,126)38.432.529.0
Non-Hispanic white38.233.228.6
Non-Hispanic black36.329.534.2
Hispanic43.427.029.6
Non-Hispanic Asian/Pacific Islander40.234.025.8
Non-Hispanic American Indian/Alaska Native37.730.332.0
Non-Hispanic other race42.031.726.3
Aged 75–84 (n = 3,830,486)24.430.844.8
Non-Hispanic white24.031.344.7
Non-Hispanic black25.627.446.9
Hispanic29.925.444.7
Non-Hispanic Asian/Pacific Islander24.733.442.0
Non-Hispanic American Indian/Alaska Native27.329.543.2
Non-Hispanic other race28.030.241.8
Aged ≥85 (n = 1,478,183)18.627.054.5
Non-Hispanic white18.127.454.6
Non-Hispanic black21.424.054.6
Hispanic23.521.954.6
Non-Hispanic Asian/Pacific Islander20.428.351.3
Non-Hispanic American Indian/Alaska Native23.827.548.7
Non-Hispanic other race27.123.549.4
Women
Aged 65–74 (n = 6,571,342)35.535.828.7
Non-Hispanic white36.836.127.1
Non-Hispanic black25.835.438.8
Hispanic31.431.437.3
Non-Hispanic Asian/Pacific Islander35.737.227.1
Non-Hispanic American Indian/Alaska Native33.033.833.2
Non-Hispanic other race40.534.724.8
Aged 75–84 (n = 5,247,284)21.534.544.0
Non-Hispanic white22.135.142.8
Non-Hispanic black16.232.051.7
Hispanic19.027.553.5
Non-Hispanic Asian/Pacific Islander21.534.843.7
Non-Hispanic American Indian/Alaska Native22.932.744.4
Non-Hispanic other race26.533.440.2
Aged ≥85 (n = 3,100,620)16.330.053.7
Non-Hispanic white16.430.553.1
Non-Hispanic black13.727.658.7
Hispanic15.723.560.8
Non-Hispanic Asian/Pacific Islander18.730.750.6
Non-Hispanic American Indian/Alaska Native18.930.550.7
Non-Hispanic other race26.525.947.6

 

Return to your place in the textTable 4. Percentage of Medicare Fee-for-Service Beneficiaries With Chronic Conditions by Sex, Age, and Dual-Eligibility Statusa (N = 31,313,331), 2010
CharacteristicNo. of Chronic Conditions
0 or 12 or 3≥ 4
Men
Aged <6551.326.022.7
Dual49.227.123.7
Nondual53.624.821.6
Aged 65–7438.432.529.0
Dual26.927.345.8
Nondual39.833.127.1
Aged 75–8424.430.844.8
Dual18.224.057.8
Nondual25.231.643.2
Aged ≥8518.627.054.5
Dual11.521.167.4
Nondual19.627.852.6
Women
Aged <6541.230.328.5
Dual38.330.431.3
Nondual45.430.024.5
Aged 65–7435.535.828.7
Dual18.730.051.2
Nondual38.436.824.8
Aged 75–8421.534.544.0
Dual12.025.962.1
Nondual23.636.340.2
Aged ≥8516.330.053.7
Dual8.324.167.6
Nondual18.932.049.2

a Dual eligibility refers to beneficiaries that are eligible to receive benefits under both the Medicare and Medicaid programs.

 

Return to your place in the textTable 5. Five Most Prevalent Chronic Condition Dyads Among Medicare Fee-for-Service Beneficiaries, by Sex and Age Group (N = 21,437,857), 2010a
Dyad by Sex and Age GroupPrevalence, %
Men
<65
Hypertension and hyperlipidemia45.2
Diabetes and hyperlipidemia37.9
Ischemic heart disease and hyperlipidemia31.0
Diabetes and hypertension29.6
Ischemic heart disease and hypertension24.6
≥65
Hypertension and hyperlipidemia56.0
Ischemic heart disease and Hyperlipidemia44.6
Ischemic heart disease and hypertension39.0
Diabetes and hyperlipidemia33.9
Diabetes and hypertension28.6
Women
<65
Hypertension and hyperlipidemia39.9
Diabetes and hyperlipidemia35.0
Depression and hyperlipidemia29.7
Arthritis and hyperlipidemia29.4
Diabetes and hypertension27.5
≥65
Hypertension and hyperlipidemia53.5
Arthritis and hyperlipidemia36.8
Ischemic heart disease and hyperlipidemia32.9
Diabetes and hyperlipidemia30.0
Arthritis and hypertension26.7

a Medicare beneficiaries had to have at least 2 of the chronic conditions listed.

 

Return to your place in the textTable 6. Five Most Prevalent Chronic Condition Triads Among Medicare Fee-for-Service Beneficiaries, by Sex and Age Group (N = 16,481,558), 2010a
Triad by Sex and Age GroupPrevalence, %
Men
<65
Diabetes, hypertension, and hyperlipidemia35.4
Ischemic heart disease, hypertension, and hyperlipidemia30.1
Diabetes, ischemic heart disease, and hyperlipidemia25.3
Diabetes, ischemic heart disease, and hypertension20.1
Diabetes, chronic kidney disease, and hyperlipidemia18.8
≥65
Ischemic heart disease, hypertension, and hyperlipidemia42.6
Diabetes, hypertension, and hyperlipidemia32.1
Diabetes, ischemic heart disease, and hyperlipidemia25.9
Diabetes, ischemic heart disease, and hypertension22.3
Arthritis, hypertension, and hyperlipidemia21.8
Women
<65
Diabetes, hypertension, and hyperlipidemia32.0
Arthritis, hypertension, and hyperlipidemia23.5
Depression, hypertension, and hyperlipidemia23.1
Ischemic heart disease, hypertension, and hyperlipidemia21.9
Diabetes, arthritis, and hyperlipidemia19.9
≥65
Arthritis, hypertension, and hyperlipidemia29.6
Ischemic heart disease, hypertension, and hyperlipidemia29.4
Diabetes, hypertension, and hyperlipidemia27.6
Ischemic heart disease, arthritis, and hyperlipidemia20.8
Diabetes, ischemic heart disease, and hyperlipidemia18.3

a Medicare beneficiaries had to have at least 3 of the chronic conditions listed.

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The opinions expressed by authors contributing to this journal do not necessarily reflect the opinions of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions.


 
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