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Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito, Ph.D. 1 ; Celia R. Eicheldinger, M.S. 1 ; Arthur A. Meltzer, Ph.D. 2 , And Linda G. Greenberg, Ph.D. 3 1 RTI International; 2 CMS; 3 AHRQ Presented at The 2005 Annual Research Meeting of AcademyHealth, Boston, MA, June 28, 2005 RTI International is a trade name of Research Triangle Institute 3040 Cornwallis Road P.O. Box 12194 Research Triangle Park, NC 27709 Phone 919-541-6377 e-mail [email protected] Fax 919-990-8454
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Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

Mar 27, 2015

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Page 1: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries

Presented byArthur J. Bonito, Ph.D.1; Celia R. Eicheldinger, M.S.1;

Arthur A. Meltzer, Ph.D.2, And Linda G. Greenberg, Ph.D.3 1RTI International; 2CMS; 3 AHRQ

Presented atThe 2005 Annual Research Meeting of AcademyHealth,

Boston, MA, June 28, 2005

RTI International is a trade name of Research Triangle Institute

3040 Cornwallis Road ■ P.O. Box 12194 ■ Research Triangle Park, NC 27709Phone 919-541-6377 e-mail [email protected] 919-990-8454

Page 2: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Background

Limited information and few previously published studies exist on access to care for minority Medicare beneficiaries, other than African Americans, using Medicare administrative claims data.

CMS sponsored this project to improve identification of Asians and Hispanics, as well as to examine disparities in health care access and use under Medicare.

Avoidable hospitalizations for ACSCs provide one indication of limited access and receipt of less-than-adequate primary care.

Page 3: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Ambulatory Care Sensitive Conditions

Hospital or Emergency Room (ER) admissions for 15 Ambulatory Care Sensitive Conditions (ACSCs) that include the following :Chronic (5) – chronic lung disease (asthma and

COPD), congestive heart failure, seizures, diabetes, and hypertension

Acute (8) – cellulitis; bacterial pneumonia; urinary tract infection; ulcers; hypoglycemia; hypokalemia; dehydration; ear, nose, and throat infections

Preventable (2) – influenza and malnutrition

Page 4: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Study Goals

To improve accuracy of racial/ethnic identification of Medicare beneficiaries to include: non-Hispanic White, Black, Hispanic, Asian/Pacific Islander (A/PI), and American Indian/Alaska Native (AI/AN).

To identify racial/ethnic disparities in hospital or emergency room admissions for ACSCs.

Page 5: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Methods and Data

Developed algorithm to more correctly identify Medicare beneficiaries’ race/ethnicity:Used Spanish and Asian surname lists from US Census.From Medicare enrollment database (EDB), used first and

last name, race/ethnicity, language preference and place of residence.

Used common first names from web sources.

Used Medicare Part A claims for 2002 to estimate hospital and ER admissions for ACSCs.

Selected a stratified random sample of 1.96 million FFS Medicare beneficiaries (over-sampling minorities).

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Data Limitations

CMS obtains race/ethnicity data on Medicare beneficiaries from SSA, which categorizes “Hispanic” as a race code.

We present findings for AI/ANs despite under-identification on the EDB.CMS has been working with IHS since 1999 to

improve identification of AI/AN beneficiaries.Analyses show small predictable bias.

Page 7: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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2002 Medicare FFS Study Sample

Race/Ethnicity Sample Medicare FFS

NH White 329,954 26,779,400

Black 328,246 3,053,618

Hispanic 534,196 720,664

A/PI 415,190 449,914

AI/AN 120,557 121,818

Other/Unknown 231,978 471,630

TOTAL 1,960,121 31,579,044

Page 8: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Analysis Approach

We examined hospital or ER admissions for each type of ACSC - chronic, acute, preventable, and any.

We examined percentages with hospital or ER admission by type of ACSC, race/ethnicity, sex, and age group.

The following tables include stacked bar graphs for each type of ACSC by race, sex, and age.

Page 9: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Figure 1Percentage of male Medicare beneficiaries with admissions for chronic

ambulatory care sensitive conditions by age group and race/ethnicity: CY 2002

4.50

6.78

4.48 3.70

5.83

2.46

4.99

3.05

1.44

4.533.54

5.60

4.12

2.50

5.074.85

5.95

4.63

3.43

5.53

White Black Hispanic A/PI AI/AN

Race/Ethnicity

85+

75-84

65-74

< 65

Page 10: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Figure 2Percentage of female Medicare beneficiaries with admissions for chronic

ambulatory care sensitive conditions by age group and race/ethnicity: CY 2002

5.09

8.19

5.444.04

7.22

2.54

5.52

3.72

1.41

4.793.50

6.62

5.06

2.22

5.49

4.83

6.70

5.00

2.94

6.00

White Black Hispanic A/PI AI/AN

Race/Ethnicity

85+

75-84

65-74

< 65

Page 11: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Preliminary Results for Chronic ACSCs

Across all race/ethnicity groups, women have higher percent of admissions for chronic ACSCs than men.

Typically, men and women under age 65 have higher percent of admissions for chronic ACSCs.

Among elderly men and women (65 years of age and over), admissions for chronic ACSCs increase with age.

A/PI and White beneficiaries have lowest percent of admissions for chronic ACSCs, Blacks and AI/ANs have the highest percent, Hispanics falls in between.

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Figure 3Percentage of male Medicare beneficiaries with admissions for acute

ambulatory care sensitive condition by age group and race/ethnicity: CY 2002 Percentage of male Medicare beneficiaries with admissions for ambulatory care sensitive condition by age group and race/ethnicity: calendar year 2002

4.25 5.024.04 3.20

5.22

2.24

3.14

2.43

1.38

4.013.82

4.46

3.68

2.51

5.42

5.98

7.07

5.69

4.38

9.98

White Black Hispanic A/PI AI/AN

Race/Ethnicty

85+

75-84

65-74

< 65

Page 13: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Figure 4 Percentage of female Medicare beneficiaries with admissions for acute

ambulatory care sensitive condition by age group and race/ethnicity: CY 2002

5.827.17

5.273.93

7.93

2.71

3.91

3.31

1.52

5.004.06

5.19

4.73

2.34

6.506.44

7.42

5.61

4.23

9.38

White Black Hispanic A/PI AI/AN

Race/Ethnicity

85+

75-84

65-74

< 65

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Preliminary Results for Acute ACSCs

Across all race/ethnicity groups, women have higher percent of admissions for acute ACSCs than men.

Men and women age 85 and over have highest percent of admissions for acute ACSCs.

Among elderly men and women, admissions for acute ACSCs increase with age.

A/PI beneficiaries have lowest percent of admissions, Blacks and AI/ANs have the highest, and Whites and Hispanics fall in between.

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Figure 5Percentage of male Medicare beneficiaries with admissions for preventable

ambulatory care sensitive condition by age group and race/ethnicity: CY 2002

0.09 0.10

0.05 0.04

0.12

0.040.04

0.03

0.01

0.040.04

0.09

0.04

0.03

0.110.08

0.15

0.08

0.05

0.10

White Black Hispanic A/PI AI/AN

Race/Ethnicity

85+

75-84

65-74

< 65

Page 16: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Figure 6Percentage of female Medicare beneficiaries with admissions for preventable

ambulatory care sensitive conditions by age group and race/ethnicity: CY 2002

0.10

0.21

0.060.10

0.15

0.03

0.06

0.06

0.03

0.060.07

0.09

0.080.03

0.13

0.10

0.14

0.10

0.04

0.11

White Black Hispanic A/PI AI/AN

Race/Ethnicity

85+

75-84

65-74

< 65

Page 17: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Preliminary Results for Preventable ACSCs

Across all race/ethnicity groups, women have a higher percent of admissions for preventable ACSCs than men.

Typically, among men and women – ages 85 and over and under 65 – have the highest percent of admissions for preventable ACSCs.

Typically, among elderly men and women, admissions for preventable ACSCs increase with age.

A/PI beneficiaries have lowest percent of admissions, Blacks and AI/ANs have the highest, and Whites and Hispanics fall in between.

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Figure 7Percentage of male Medicare beneficiaries with admissions for any

ambulatory care sensitive condition by age group and race/ethnicity: CY 2002

7.7611.05

7.59 6.419.79

4.56

8.16

5.30

2.96

7.89

7.23

10.14

7.67

5.17

9.90

10.84

13.00

9.87

8.10

14.42

White Black Hispanic A/PI AI/AN

Race/Ethnicity

85+

75-84

65-74

< 65

Page 19: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Figure 8Percentage of female Medicare beneficiaries with admissions for any

ambulatory care sensitive condition by age group and race/ethnicity: CY 2002

9.56

14.209.66

7.40

13.49

4.93

9.21

6.57

3.02

9.107.37

11.59

9.23

4.78

11.3811.09

14.02

10.36

7.49

14.63

White Black Hispanic A/PI AI/AN

85+

75-84

65-74

< 65

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Preliminary Results for any ACSCs

Across all race/ethnicity groups, women have higher percent of admissions for all ACSCs combined than men.

Men and women ages 85 and over have highest percent of admissions for all ACSCs combined.

Among elderly men and women, admissions for all ACSCs combined increase with age.

A/PI beneficiaries have lowest percent of admissions, Blacks and AI/ANs have the highest, and Whites and Hispanics fall in between.

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Summary of Preliminary Results

There is considerable consistency across the 15 individual ACSCs and the four grouped -- chronic, acute, preventable and any -- with respect to racial/ethnic differences in the level of hospital or ER admissions, with age and sex controlled. Black and AI/AN beneficiaries have the highest levels of

ACSC hospital or ER admissions.A/PI beneficiaries have the lowest level of ACSC hospital or

ER admissions.Hispanic and White beneficiaries typically occupy the

middle ground, with lower levels of ACSC hospital or ER admissions than Black and AI/AN, but higher than A/PI.

Page 22: Identifying Racial and Ethnic Disparities in Admissions for Ambulatory Care Sensitive Conditions among Medicare Beneficiaries Presented by Arthur J. Bonito,

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Conclusions

The improved race/ethnicity variable indicates sizeable and consistent differences in admissions for ACSCs, suggesting differences in access by some minority groups to timely and appropriate primary care services.

More accurate coding for Hispanics and A/PIs allows a unique opportunity to increase our knowledge of disparities in health care use and outcomes.

Additional research is needed, including multivariate analysis to adjust for differences in SES, health status, disease levels, as well as hospital, ER, outpatient, and ambulatory care service use.