Dual Eligible Beneficiaries And Potentially Avoidable Hospitalizations 9815 PAHInsight Brief

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Policy Insight Brief
September 2011

Dual Eligible Beneficiaries and
Potentially Avoidable Hospitalizations
Misha Segal

SUMMARY: About 25% of the hospitalizations for dual eligible beneficiaries in 2005 were

potentially avoidable. Medicare and Medicaid spending for those potentially avoidable
hospitalizations (PAHs) was almost $6 billion, or about 20% of tot al spending on inpatient care
for the dual eligibles. We estimate that those costs increased to $7–$8 billion in 2011.

The frequency of PAHs varied significantly by setting; they were much more likely to happen to
dual eligibles in skilled nursing facilities. At the state level, the frequency of PAHs among dual
eligibles varied by a factor of four from the lowest st ate (Alaska) to the highest (Louisiana).
Nationally, five conditions were responsible for more than 80% of P AHs. Congestive heart
failure was the most common reason overall, while pneumonia was the leading reason in SNFs.
The Centers for Medicare and Medicaid Services (CMS) is committed to achieving significant
reductions in PAHs as part of its efforts to improve the quality of health care services while
reducing per-capita health care costs. This report demonstrates that reducing the number of
PAHs among dual eligible beneficiaries would likely lead to both a meaningful decrease in
health care spending and improvement in the quality of care for a vulnerable and frail population.

We estimate
that $7 billion
to $8 billion of
Medicare
spending on
hospital
services were
from PAHs in
2011.

“

“

D

ual eligible beneficiaries are those
that qualify for both Medicare and
Medicaid benefits and represent
approximately 20% of Medicare fee-forservice beneficiaries. Dually eligible
beneficiaries tend to be seniors and
non-elderly people with disabilities, and are
generally poorer and have worse health
status than other Medicare beneficiaries.
Dual eligible beneficiaries also tend to use
more health care services, and account for
a disproportionate share of Medicare
spending.1, 2 A major driver for higher
spending among dual eligible beneficiaries
is their higher use of services, p articularly
inpatient hospitalizations. For example,
dual eligible beneficiaries are 1.6 times
more likely to be hospitalized than non dual
eligible beneficiaries and the average
Medicare spending for hospitalizations

among dual eligibles is higher than other
Medicare beneficiaries.1, 3 Hospitalizations
often can be avoided with access to good
primary and outpatient care, and quality
care within a facility.
Hospitalizations that could have been
avoided, either because the condition
could have been prevented or treated
outside a hospital setting, are termed
"potentially avoidable hospitalizations" or
PAHs and reducing PAHs presents an
opportunity to improve both the quality of
care and reduce overall Medicare
expenditures. This Policy Insight Brief
focuses on the prevalence and cost of
PAHs across health care settings,
variations in PAH rates by state, and
health conditions associated with PAHs.

Center for Strategic Planning

2

Inpatient Hospitalizations and
PAH for Dual Eligible Population

In 2005, there
were almost
2.7 million
hospitalizations
among dual
eligible
beneficiaries,
of which 26%
may have been
avoidable.

“

“

In 2005, among 5.6 million dual eligible
beneficiaries, 27% had at least one
hospitalization; with an average
hospitalization cost of $10,226 of which
96% (or $9,815) was borne by the
Medicare program, the primary payer for
inpatient hospital services.
Among the almost 2.7 million hospitalizations for dual eligible beneficiaries, almost
700,000 (or 26%) may have been
avoidable. The overall costs for these PAHs
were $5.6 billion, with the Medicare pro gram bearing 96% of these costs.
To put the expenditure figure of $5.6 billion
for PAHs into perspective, it is helpful to
view in terms of overall Medicare spending
on hospital services. In 2005, Medicare
spent $180 billion on hospital services and
hospitalizations that were potentially avoidable constituted 3% of all Medicare hospit al
expenditures. Based upon estimated
Medicare costs for hospital service for 2011
of about $250 billion; we estimate that $7
billion to $8 billion of these cost s may be
for PAHs.4
Table 1: Inpatient Hospitalizations for
Dual Eligible Population
Population

5,569,903

Percentage with a least one
hospitalization

27%

Total hospitalizations

2,691,276

• Total costs (in billions)

$27.5

• Hospitalization rate (per 1,000
person years)

574

• Average length of stay (days)

7.1

• Average Medicare cost

$9,815

• Average Medicaid cost

$411

Source: CMS analysis of 2005 Medicare and Medicaid linked file

Table 2: Summary Statistics on Dual
Eligible Population and PAHs
Population
Percentage of hospitalizations that
were potentially avoidable
Percentage of Dual Eligibles with
at least one PAH
Percentage of all Medicare hospital
costs from Dual Eligible PAHs
Potentially avoidable hospitalizations

5,569,903
26%
9%
3%
699,818

• Total costs (in billions)

$5.6

• Rate (per 1,000 person-years)

151

• Average length of stay (days)

6.1

• Average Medicare cost for PAHs

$7,665

• Average Medicaid cost for PAHs

$333

2011 projected costs attributable
to Dual Eligible PAHs

$7-8 Billion

Source: CMS analysis of 2005 Medicare and Medicaid linked file

Potentially Avoidable
Hospitalizations across Health
Care Settings
Overall, the PAH rate among dual eligible
beneficiaries was 151 per 1,000 person
years, but there was considerable variation
across health care settings. The rate was
highest in skilled nursing facilities (942 per
1,000 person years) followed by nursing
facilities. PAH rates were lowest for dual
eligible beneficiaries living in the
community, but varied by whether the
beneficiary received a waiver for home
and community based services (HCBS).
Those with the HCBS waiver had a PAH
rate of 250 per 1,000 person years
compared to 88 per 1,000 person years for
those without the waiver.
While differences in PAH rates across
settings are important for identifying
strategies to reduce potentially avoidable
hospitalizations, a few notes on the
interpretation of these differences is warranted. First, beneficiaries spend far fewer
days in skilled nursing facilities (SNF) than
any other setting due to Medicare
coverage limitations and the key role
SNFs play in stabilizing and rehabilitating
complex patients. Further, these rates do
not adjust for the generally higher acuity
levels of SNF beneficiaries or the fact that
most SNF care immediately follows a
hospital stay – so many of the SNF PAHs
may also be readmissions.

Center for Strategic Planning

3

Source: CMS analysis of 2005 Medicare and Medicaid linked file

In addition to knowing the PAH rate across health care settings, it also is import ant to know
which settings have the highest percentage of beneficiaries with at least one PAH event.
Overall, the percentage of dual eligible beneficiaries who experienced at least one potentially
avoidable hospitalization was 9.1%. The percentage was highest for those in nursing home
settings at 16.4%, followed by beneficiaries with the HCBS waiver at 12.5%, skilled nursing
facility at 9.4%, and those in the community but not in HCBS at 5.2%.

PAH rates
vary across
health care
settings. PAH
rates are
highest for
dual eligible
beneficiaries
in skilled
nursing
facilities and
lowest for
those in
community
settings.

Differences across settings in PAH rates and percentages reflect the fact that while the SNF
setting has the highest PAH rate, beneficiaries often do not spend much time in this setting.
In contrast, those in nursing facilities have more opportunities (more days in the setting) for
a PAH; as a result, nursing facilities have a higher percent age of beneficiaries with at least
one of these events.

Potentially Avoidable Hospitalizations across States
There is almost a fourfold difference in PAH rates across states, from the lowest in Alaska
(65 per 1,000 person years) to the highest in Louisiana (231 per 1,000 person years). While
the data show significant
variation across states, this
Figure 2: Variation across States
study does not control for
(Expressed per 1,000 person-years to adjust for dif ferences in length of stay)
differences in patient health
across states. The underlying data for all 50 states
can be seen in Table 3.
The states with the highest
and lowest overall PAH
rates showed little variation
across all health care
settings. Table 3 also
identifies the top five and
lowest five performing
states for each health care
setting.

U.S. Average = 151

Source: CMS analysis of 2005 Medicare and Medicaid linked file

“

“

Figure 1: Differences across Settings
(Expressed per 1,000 person-years to adjust for differences in length of stay)

Table 3: Potentially Avoidable Hospitalizations by Source and State—Dually Eligible Beneficiaries from Aged or
Disabled, by Hospitalization Rate, 2005
‡

State
U.S.
Louisiana
Kentucky
Pennsylvania

Hospitalization rate (per 1,000 person-years)^^ -- Lowest 5 States , Highest 5 States
All Duals
NF
SNF
HCBS
338
942
250
151
†

551†

†

†

231
220

463

†

Other/Community
88

1,253†

301

115†

1,126

†

116†

377

†

†

318

1,025

317

90

†

446†

1,464†

2,423†

104

205
204

†

309

1,011

315

102

395

1,196

248

94

194

447

†

1,075

281

90

219

New Jersey

205

Ohio
Illinois
Arkansas
Kansas

193

344

928

212

78

Indiana

189

306

828

270

120
83

†

†

Delaware

185

350

1,298

211

Texas

184

414

997

266

89

District of Columbia

182

443

1,215†

379†

117†

Oklahoma

179

444

1,202

272

West Virginia

177

393

895

348

112†

Georgia

176

378

970

265

97

Missouri

174

365

1,048

245

99

Maryland

172

352

1,154

271

97

Alabama

168

337

869

226

103

Mississippi

162

487

1,102

271

105

Virginia

158

308

754

307

90

Florida

156

345

973

252

97

†

†

†

86

Wyoming

151

247

634

231

63

North Dakota

150

242

615

197

80

Connecticut

149

202

704

204

67

Tennessee

149

409

1,018

253

110

South Carolina

144

325

908

279

97

Michigan

142

280

984

236

99

South Dakota

141

255

687

121

‡

67

Iowa

137

268

684

201

56

Nebraska

137

287

646

177

71

New York

137

293

814

*

92

Montana

130

206

556

‡

126‡

90

North Carolina

130

312

758

279

95

Nevada

128

264

793

241

77

Rhode Island

123

320

1,063

264

61

Colorado

115

215

668

172

50

New Hampshire

115

‡

162

624

228

58

Massachusetts

114

290

782

271

72

Wisconsin

110

197

725

*

74

Oregon

109

180

826

137

New Mexico

101

236

883

177

64

Washington

99

228

756

*
209

73

139‡

42‡

California

96

336

1,008

Idaho

95

185

530

Minnesota

94

‡

‡

‡

49‡

68

‡

262

815

142

58

‡

156‡

574

145

52

‡

133‡

478‡

166

58

‡

‡

147

553‡

133‡

45‡

‡

143‡

195‡

173

46‡

Utah

74

Hawaii

72

Vermont

67

Alaska

65

* Data unreliable; Note, Arizona and Maine also not included
^^ per 1,000 person year metric can be explained as follows. The national rate for NF is 338. On average, if three persons were to stay in a nursing facility for
365 days in the year, roughly one would have a PAH.

Center for Strategic Planning

5

Leading PAH Conditions

“

Five
conditions are
responsible
for over 80%
of the
potentially
avoidable
hospitalizations.
Congestive
heart failure
was the
leading
condition
associated
with a PAH.

community had fairly similar breakdowns
by condition.

Congestive heart failure, chronic obstructive
pulmonary disease/asthma, pneumonia,
dehydration, and urinary tract infections
were responsible for over 80% of potentially
avoidable hospitalizations. For all dually
eligible beneficiaries, the two leading
conditions were congestive heart failure
(22.9%) and chronic obstructive pulmonary
disease/asthma (17.0%).

For those in nursing facilities and in SNFs,
pneumonia was the leading cause for a
PAH, accounting for nearly one-third of all
cases. The percentages were also similar
for urinary tract infections and dehydration.
However, some differences were seen
between the two settings. Congestive
heart failure accounted for 11.6% of
potentially avoidable hospitalizations from
nursing facility stays, but 16.8% from
skilled nursing facility stays. On the other
hand, falls/trauma accounted for 9.4% of
potentially avoidable hospitalizations from
Medicaid nursing facility stays, but 5.2%
from Medicare skilled nursing facility stays.
This underscores that the populations are
somewhat distinct.

Table 4: PAHs Primarily Attributable
to Select Conditions
Potentially
avoidable
hospitalizations

Percentage
distribution

All

699,818

100.0%

Congestive heart failure
COPD, Asthma
Dehydration
Pneumonia
Urinary tract infection

160,397
118,936
103,024
101,357
87,296

22.9%
17.0%
14.7%
14.5%
12.5%

Sum of subgroup

571,010

81.6%

Condition

For those in HCBS and otherwise in the
community, three conditions accounted for
nearly 75% of all PAHs-congestive heart
failure, COPD/asthma, and dehydration.
The biggest difference was observed with
urinary tract infection, where those in
HCBS had a significantly higher percentage than those otherwise in the community.

Source: CMS analysis of 2005 Medicare and Medicaid linked file

There were differences by setting in the
conditions that were responsible for
potentially avoidable hospitalizations. In
general, the leading causes were similar for
beneficiaries in nursing facilities and SNFs,
while those in HCBS and otherwise in the

“

Table 5: Percentage of Potentially Avoidable Hospitalizations by Condition and Setting

For those in a
nursing facility
or SNF,
pneumonia
was the
leading
condition
associated with
a PAH.

“

“

All Duals

NF

SNF

HCBS

Other/Community

Altered mental status, acute confusion, delirium

0.3

0.6

0.6

*

*

Anemia

1.0

2.2

2.3

*

*

COPD, asthma

17.0†

6.0

5.5

23.6†

26.6†

Congestive heart failure

22.9

†

11.6

Constipation, impaction
Dehydration

†

16.8

†

33.0

†

30.8

1.4

1.1

0.8

2.0

1.6

14.7†

10.3†

12.9†

18.4†

17.7†

Diarrhea, gastroenteritis, C. Difficile

0.9

1.6

3.0

*

*

Falls/trauma

3.8

9.4†

5.2

*

*
1.8

Hypertension

†

1.0

0.2

0.2

1.0

14.5†

32.8†

30.5†

*

*

Poor glycemic control

2.4

0.7

0.7

2.0

4.1

Psychosis, agitation, organic brain syndrome

0.6

1.4

1.1

*

*

Seizures

4.2

2.6

2.1

3.6†

6.1†

Skin ulcers, cellulitis

2.3

Pneumonia

Urinary tract infection
Weigh loss and malnutrition

12.5
0.6

4.9
†

14.2
0.4

†

5.9†

*

*

11.7†

15.7†

10.6†

0.8

0.7

0.7

* These conditions were not included for beneficiaries in HCBS or otherwise in the community.
†

The top five conditions by setting.

6

Center for Strategic Planning

Policy Considerations and
CMS Initiatives

Data Source and
Methodological Notes

The misalignment between the Medicare and

This research builds upon prior work conducted
by the Policy and Data Analysis Group on the
dual eligible population and examines the
prevalence and cost of PAHs across health
care settings, geographic areas, and type of
condition. The data source for this analysis is
the beneficiary level linked Medicare and
Medicaid administrative claims for 2005. The
study population includes fee-for-service (FFS)
beneficiaries, who were eligible for both
Medicare and full Medicaid benefits for at least
one month during the calendar year 2005,
representing nearly 85% of all dual eligible
beneficiaries (5.6 million of the total 6.6 million).
Dual eligible beneficiaries were excluded from
this analysis if they were enrolled in managed
care programs, lived in states that did not report
Medicaid data, or were assigned more than one
Medicaid identification number within the same
state.

Medicaid programs has been cited as one of the
leading causes for the high PAH rate among
dual eligible beneficiaries. 5 Medicare is the
payer for inpatient hospital costs, so Medicaid
programs have few financial incentives to limit
hospitalizations. The perverse incentive is
particularly true for Medicaid nursing facility
residents, where complex patients can be sent
to a hospital for treatment at virtually no
additional costs to the Medicaid program.
In response, CMS has announced initiatives to
help combat the problem. The MedicareMedicaid Coordination Office in collaboration
with the Center for Medicare and Medicaid
Innovation will establish a new initiative to help
States improve the quality of care for people in
nursing facilities by reducing preventable inpatient hospitalizations. This initiative supports the
Administration's Partnership for Patients goal of
reducing hospital readmission rates by 20% by
the end of 2013. 6
CMS will competitively select and partner with
independent organizations that will provide
enhanced clinical services to people in
approximately 150 nursing homes. The
intervention will be targeted to nursing facilities
with high hospitalization rates and a high
concentration of residents who are eligible for
both the Medicare and Medicaid programs.

Conclusion
Dual eligible individuals make up less than 20%
of either Medicare or Medicaid beneficiaries, but
they account for about one quarter of Medicare
expenditures, with hospitalizations being a major
driver of increased costs3. This report shows
that 26% of all hospitalizations for this population may have been avoidable and that roughly
one in ten dual eligible beneficiaries had at least
one PAH over the course of a year. The overall
costs for PAHs for dual eligible beneficiaries are
striking, accounting for 3% of all Medicare
spending on inpatient care in 2005. If this
percentage has remained constant since then,
the total costs in 2011 would be roughly $7-8
billion. Reducing the number of PAHs for dual
eligible beneficiaries would improve care and
likely lead to a meaningful decrease in Medicare
spending.

Following the methods used in the report "Cost
Drivers for Dually Eligible Beneficiaries:
Potentially Avoidable Hospitalizations from
Nursing Facility, Skilled Nursing Facility, and
Home and Community-Based Services Waiver
Programs"3, PAH rates are expressed per 1,000
person years to take into account variation in
the length of stay across settings and to
standardize events by time. A higher rate in a
setting indicates that, on average, a person on
any given day in that setting would be more
likely to have a PAH than those in a lower rate
setting. For example, for nursing home benefici aries, the potentially avoidable hospitalization
rate is 338 per 1,000 person years. At a nursing
home, if three beds are full for the entire year ,
on average, the odds are that one person from
those three beds will have a potentially avoid able hospitalization. Also, in comparing conditions across settings, we used a shorter list of
conditions for dual eligible beneficiaries receiv ing the HCBS waiver or otherwise in the com munity. The subset of conditions identified
reflects the lower levels of support available to
HCBS waiver enrollees compared to dual eligible beneficiaries in nursing facilities or skilled
nursing facilities. The major omission was
pneumonia, which accounts for nearly one-third
of PAHs for those in nursing facilities and
skilled nursing facilities. Other omissions
include altered mental state, anemia, diarrhea,
falls and trauma, psychosis, and skin ulcers.
Table 5 flags these conditions with an asterisk.

Center for Strategic Planning

7

Acknowledgements
The author is appreciative for the dat a analytics and programming performed by the Research Triangle Institute. The
author would also like to thank his colleagues in the Policy and Dat a Analysis Group, and in particular Niall Brennan and
Eric Rollins, for their insights and support.
Reviewer comments are gratefully acknowledged from the Center for S trategic Planning, Information Dissemination and
Analysis Group, particularly Christine S. Cox, Kimberly Lochner and Cynthia Riegler .
Author Information
Misha Segal, MBA is with the Center for Strategic Planning, Policy and Data Analysis Group at the Centers for Medicare
and Medicaid Services.
Suggested Citation
Segal M. Dual Eligible Beneficiaries and Potentially Avoidable Hospitalizations. Washington, DC: Centers for Medicare
and Medicaid Services, 2011.

References
1. MedPAC. A Data Book: Health Care Spending and the Medicare Program (June 2011). Washington, DC: Medicare
Payment Advisory Commission, 2011.
2. Coughlin T, Waidmann T, and O'Malley Watts M. Where Does the Burden Lie?
Medicaid and Medicare Spending for Dual Eligible Beneficiaries. The Kaiser Commission on Medicaid and the
Uninsured, the Henry J. Kaiser Family Foundation, 2009. http://www.kff.org/medicaid/7895.cfm Accessed September 1,
2011.
3. Walsh EG, Freiman M, Haber S, Bragg A, Ouslander J, and Wiener JM. Cost Drivers for Dually Eligible Beneficiaries:
Potentially Avoidable Hospitalizations from Nursing Facility, Skilled Nursing Facility, and Home and Community-Based
Services Waiver Programs. RTI International, CMS Contract No. HHSM-500-2005-00029I, 2010.
http://www.cms.gov/Reports/Downloads/costdriverstask2.pdf Accessed September 1, 2011.
4. Centers for Medicare and Medicaid Services. National Health Expenditure Dat a.
www.cms.gov/NationalHealthExpendData/25_NHE_Fact_Sheet.asp Accessed September 1, 2011.
5. Verdier, J. Coordinating and Improving Care for Dual Eligibles in Nursing Facilities: Current Obst acles and Pathways
to Improvement. Mathematica Policy Research, Inc, March 2010. http://www.mathematicampr.com/publications/pdfs/health/nursing_facility_dualeligibles.pdf Accessed September 1, 2011.
6. Centers for Medicare and Medicaid Services, Medicare-Medicaid Coordination Of fice. Reducing Preventable
Hospitalizations Among Nursing Facility Residents. http://www.cms.gov/medicare-medicaidordination/09_ReducingPreventableHospitalizationsAmongNursingFacilityResidents.asp#TopOfPage Accessed
September 1, 2011.



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