813311
HIS0010.1177/1178632918813311Health Services InsightsLinder et al
research-article2018
Reducing the Cost of Medicaid: A Multistate Simulation
Stephen H Linder1,2 , Kimberly Aguillard1,2, Kelsey French3 and
Arthur Garson1
Health Services Insights
Volume 11: 1–9
© The Author(s) 2018
Article reuse guidelines:
sagepub.com/journals-permissions
DOI: 10.1177/1178632918813311
https://doi.org/10.1177/1178632918813311
1Health
Policy Institute, Texas Medical Center, Houston, TX, USA. 2Institute for Health Policy,
School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX,
USA. 3Formerly Jones Graduate School of Business, Rice University, Houston, TX, USA.
ABSTRACT: According to some estimates, the United States wastes as much as 30% of health care dollars. Some of that waste can be
mitigated by reducing certain costs associated with Medicaid. We chose 5 areas of savings applicable to Medicaid: (1) modification of
physician payment models to reduce unnecessary care, (2) development of a medication adherence program for patients dually eligible
for Medicaid and Medicare support (“dual eligibles”), (3) improvement in unnecessary admissions and readmissions for dual eligibles, (4)
reduction in emergency department visits among children in Medicaid and dual-eligible beneficiaries, and (5) improvement in adoption of endof-life advance directives. We chose the states from both ends of the spending spectrum: the 5 with the lowest annual Medicaid expenditures:
Wyoming, South Dakota, Montana, Vermont, and Alaska, and those with the highest: California, New York, Texas, Pennsylvania, and Florida.
This spectrum demonstrates the range of potential cost-saving measures, from US $23.6 million in Wyoming to US $3.4 billion in California. We
conclude that there are a number of ways to reduce Medicaid spending and improve quality. To the extent that states have already adopted
programs addressing the same problems, our approach may be supplementary but the total savings may be achieved with a combination of
current initiative and those described here. As Medicaid creates savings, physician payment could be increased to attract more physicians into
caring for Medicaid patients.
KEYWORDS: Medicaid, dual-eligible beneficiaries, hospital readmissions
RECEIVED: October 15, 2018. ACCEPTED: October 20, 2018.
TYPE: Perspective
DECLARATION OF CONFLICTING INTERESTS: The author(s) declared no potential
conflicts of interest with respect to the research, authorship, and/or publication of this
article.
FUNDING: The author(s) received no financial support for the research, authorship, and/or
publication of this article.
CORRESPONDING AUTHOR: Stephen H Linder, Health Policy Institute, Texas Medical
Center, 6550 Bertner Avenue, Houston, TX 77030, USA.
Email:
[email protected]
Introduction
care spending, a framework Berwick and Hackbarth2 refined to
examine a variety of cost-saving initiatives to target wasteful
spending in key areas such as failures in care coordination/delivery and overtreatment. The key areas identified in the Wedges
Model led us to identify 5 approaches to savings, which could
contribute to stabilizing health care spending through streamlining and strengthening care coordination and minimizing unnecessary treatment. The innovative initiatives highlighted are
adaptable, relatively low-cost investments, yielding meaningful
savings to Medicaid. The programs also aid vulnerable and costly
health care populations. The proposed initiatives, applied to the
10-state sample to represent the full range of potential cost savings, include reduction in unnecessary care, improved medication adherence in dual-eligible beneficiaries, improved care for
dual-eligible beneficiaries to reduce hospital readmissions,
reduction in emergency department (ED) visits among children
in Medicaid and dual-eligible beneficiaries, and improved coordination for end-of-life care.
According to the Institute of Medicine, 30% of dollars spent on
health care is waste in the American medical system.1 Berwick
and Hackbarth2 conducted additional analysis and placed a
midpoint estimate of waste at 34% of national health spending.
Although Medicaid programs operate with extremely low
margins, and prospective savings will not approach 30%, savings are possible. Medicaid in the state of Texas, for example,
represents just over 30% of the state budget and covers 4.4 million people. In 2016, Texas spent US $18 billion on Medicaid;
with the Federal Medical Assistance Percentage (FMAP) at
57.13%, the federal government paid US $20.5 billion, for the
total state + federal shares at US $38.5 billion.3 Even with only
a 5% reduction, annual savings could equal well over US $1 billion, which could be used to improve care and potentially redistribute funding to chronically underfunded areas, such as
payments to physicians. In Alaska, where the FMAP is 50%,
the total spending on Medicaid (including state and federal
contributions) in 2016 was US $1.42 billion3; Alaska’s portion
of this payment is $710 million. Applying a 5% savings would
yield US $35.5 million for other state programs and priorities.
This article adds to current work on Medicaid reform by
exploring specific pathways to find and estimate savings that, at
the same time, maintain or improve quality of care. These results
should be applicable to Medicaid programs across the states, as
well as to other parts of the US health care system. We use the
“Wedges Model” for examining proposed reductions in health
Pathways to Savings
Health workforce initiatives
To reduce overutilization of EDs. The overuse of EDs is a large
drain of health care dollars. Routine care provided in an ED
setting can be 2 to 5 times more expensive than the same care
provided in an alternate setting such as an urgent care clinic.4
A Health Partners study discovered charges for treating strep
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Health Services Insights
2
throat in the ED to be US $328, US $130 at an urgent care
center, and US $122 in a primary care office.5 Clearly, based on
these figures, it is critical to find ways to treat as many patients
as possible outside of an ED due to the 261% price premium
that ED care costs.
Massachusetts conducted an in-depth analysis of their ED
usage and the emergent status of patient’s health when visiting
the ED. Of all ED visits, 42% were classified as avoidable.6 If
we extrapolated this percentage to California, this would translate to 5 749 000 avoidable ED visits per year, and in South
Dakota, this percentage would translate to 114 000 annual
avoidable ED visits.7 The Massachusetts report also highlighted disparities between incomes: the residents in the lowest
income quartile, after adjusting for age and sex, had greater
than 3 times the avoidable ED rate than residents in the highest income quartile. The lowest income quartile would represent uninsured and Medicaid populations.
The most beneficial program to reduce ED usage is one that
prevents unnecessary trips to the ED. This can involve enhancing programs such as “Grand-Aides” to assist patients in health
care management and reduce their perceived need for ED
treatment. Grand-Aides are nurse aides who are closely supervised by nurses and foster relationships with patients and family with the goal of appropriate use of the ED. Calculations
indicate Grand-Aides could potentially reduce Medicaid ED
visits by 74% in Medicaid children and patients dually eligible
for Medicaid and Medicare support (“dual eligibles”).8
payment methods. For physicians who are already part of
hospital systems or Accountable Care Organizations (ACOs)
it would be reasonable to convert to a salaried system (at their
current yearly income), with a relatively modest bonus (ie,
5%-10%) for quality. Physician income does not need to
decrease with these changes. As Medicaid generates savings
in this and other areas, physician payment should increase to
attract more physicians into caring for Medicaid patients.
Salary + bonus would be the dominant method of payment.
For physicians not in systems, Medicaid could test the resultant effect on patient care of paying a certain amount per
patient with a bonus for quality. It could also change to FFS
payment with not only incentives for quality but also disincentives for doing what physicians’ own specialty societies
determine in their guidelines to be unnecessary or harmful.
The Centers for Medicare and Medicaid Services (CMS) has
announced that by the end of 2018, more than half of
Medicare dollars will be paid via alternative payment models
that focus on reducing the negative incentives associated with
paying physicians based on FFS. Of note, the health care systems in the United States that are routinely ranked the highest for quality (eg, Mayo Clinic, Cleveland Clinic, and Kaiser
Permanente) have salaried physicians, some with and some
without a bonus. Such systems have demonstrated savings
between 20% and 46% due to a decrease in tests ordered and
procedures performed.13,14 For the purposes of this analysis,
we assume 15% savings.
To improve medication adherence among dual eligibles. About 50%
of patients with chronic diseases take their medications appropriately.9 Medication nonadherence among the other 50% generates a significant cost burden. Dual eligibles represent 15% of
the national Medicaid population but require 33% of Medicaid
spending.10 This high level of spending can be partially attributed to the dual-eligible population’s vulnerability and complicated chronic health conditions. Significantly, the Grand-Aides
program has achieved a 91% medication adherence in patients
with heart failure 1 month after discharge.11
Advance directives
To reduce avoidable hospitalization among dual eligibles. Dualeligible beneficiaries are at a higher risk for potentially avoidable hospitalizations—admissions and readmissions. Among
hospital visits in this population, just over one quarter (26%) of
hospitalizations have been determined to be unnecessary, many
due to readmissions.12 The Grand-Aides program is one initiative achieving the aim of reducing readmissions with a demonstrated ability to reduce hospital readmissions by 58%.11
Payment Initiatives
To reduce unnecessary care
Most physicians are still predominately paid on a fee-forservice (FFS) basis. Medicaid programs could propose new
To improve end-of-life care. Approximately US $205 billion
is spent in the United States on patients in the last year of
life or 13% of the annual total spending on health care.15 A
number of strategies are incorporated to improve the quality
of a person’s last days. These approaches must be exquisitely
sensitive to improving the quality of life of the patient and
loved ones address the mislabeled “death panels” from the
past. The most successful approach involves recording the
wishes of the individual patient and family, broadly called
“advance directives,” which fall into 3 categories: living wills,
power of attorney and health care proxy. One calculation
places the savings through advance directives at US $5585
per patient.16 This figure was the most recent study reported
from a 2016 systematic review of advanced care planning
cost savings. Estimates in the review varied widely from US
$1041 to US $64 830 per patient, based on the length of the
study and the method for measuring cost.17
These savings are realized by reduced usage of EDs and
reductions of extraordinary life-saving measures while honoring the patient’s and their family’s wishes. Only 65% of nursing
home patients have an advance directive.18 There is a great
opportunity, as up to 90% of nursing home patients and families will complete advanced directives if a physician initiates the
Linder et al
3 419 828 000
1 869 608 000
Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; nY, new York; PA, Pennsylvania; Sd, South dakota; TX, Texas; VT, Vermont; wY, wyoming.
1 143 292 000
915 635 000
1 024 674 000
59 909 000
68 265 000
54 505 000
23 680 000
Total cost savings to Medicaid
43 333 000
84 075 000
45 760 000
49 099 000
23 154 000
35 378 000
1 270 000
1 587 000
1 380 000
818 000
Emergency department visit
reduction
1 273 000
684 338 000
373 275 000
221 689 000
190 094 000
198 485 000
7 406 000
14 313 000
8 397 000
3 453 000
reduction in avoidable
dual-eligible hospital
readmissions
6 914 000
406 393 000
221 669 000
131 652 000
112 887 000
117 871 000
4 398 000
8 500 000
4 985 000
2 052 000
End-of-life coordination of care
4 105 000
2 078 809 000
1 133 896 000
673 438 000
577 447 000
602 945 000
22 498 000
43 492 000
25 498 000
20 998 000
95 008 000
67 414 000
12 053 000
69 995 000
24 337 000
373 000
PA, US $
AK, US $
VT, US $
MT, US $
14 245 000
10 043 000
10 499 000
Improved adherence was calculated from 50% to 75% for 4
chronic conditions: hypertension, diabetes, heart failure, and
dyslipidemia.23 State populations for each chronic condition
were estimated using data from the CMS Chronic Conditions
dual-eligible medication
adherence program
Improved Medication Adherence
Table 1. Overall proposed cost savings.
Reduction in Overutilization of EDs
Sd, US $
This research explored the states from both ends of the spending spectrum: the 5 with the lowest annual Medicaid expenditures—Wyoming, South Dakota, Montana, Vermont, and
Alaska—and those with the highest—California, New York,
Texas, Pennsylvania, and Florida. This spectrum demonstrates
the range of potential cost-saving measures, from US $23.6 million in Wyoming to US $3.4 billion in California.
6 858 000
FL, US $
wY, US $
Results
Using a statistic of 24.8% of Medicaid children21 and 44% of
dual-eligible beneficiaries,22 ED visits are calculated for each
state for these populations. Next, 50% of the maximum possible reduction from the Grand-Aides program is applied, which
is a 37% reduction. The savings applied include the cost of the
Grand-Aides program. If the Grand-Aides program were
implemented to assist these key populations (assuming 50% of
the possible benefit = 37% reduction), it could result in Medicaid
savings of US $243 million in this 10-state sample, with state
savings ranging from US $409 000 in Wyoming to US $42 million in California (Table 2).
TX, US $
5 STATES wITH HIGHEST MEdICAId EXPEndITUrES
5 STATES wITH LOwEST MEdICAId EXPEndITUrES
Using Urban Institute calculations as of January 2017, based
on CMS Form 64, the 5 lowest total Medicaid expenditure
states (Wyoming, South Dakota, Montana, Vermont, and
Alaska) and the 5 highest Medicaid expenditure states
(Florida, Pennsylvania, Texas, New York, and California),
were selected for evaluation. Note that North Dakota and
Idaho were likely among the lowest Medicaid expenditure
states, but they did not have complete reporting to generate
adequate data for equal comparisons; therefore, these states
were not used in this analysis. Enrollment figures for
Medicaid, full dual-eligible beneficiaries, and children
enrolled in Medicaid were obtained from the December
2016 MACPAC Databook for various calculations.20 The
FY17 FMAP was applied to reflect the state share of
Medicaid savings. Each approach to savings was applied to
the 10-state sample to evaluate potential cost savings. If all
programs are implemented, the total financial benefit to
states ranges from US $11.8 million in Wyoming to US
$1.7 billion in California (Table 1).
nY, US $
Methods
Salaried physicians for
reduction in unnecessary care
CA, US $
discussion.19 The percentage of patients aged 65 and older with
recorded advance care plans or surrogate decision makers designated in their medical records is a quality communication
and care coordination process measure in the Merit-Based
Incentive Payment System for many disciplines.
166 213 000
3
4
Table 2. Savings calculations for reduction in emergency department use for children and dual eligibles in Medicaid.
5 STATES wITH LOwEST MEdICAId EXPEndITUrES
wY
Total Medicaid Pop (FY13,
average monthly enrollment), n
Sd
MT
5 STATES wITH HIGHEST MEdICAId EXPEndITUrES
VT
AK
FL
PA
TX
nY
CA
2 159 000
4 081 000
5 115 000
9 307 000
107 000
114 000
170 000
111 000
3 386 000
65
59
57
34
55
51
42
63
35
36
Children on Medicaid, n
44 000
63 000
65 000
58 000
61 000
1 727 000
914 000
2 590 000
1 815 000
3 340 000
Average Ed use for Medicaid
children 24.8%, n
10 912
15 624
16 120
14 384
15 128
428 296
226 672
642 320
450 120
828 320
Grand-Aides reduces Ed visits
by 37% (assume 50% of
opportunity of 74%), n
4037
5780
5964
5322
5597
158 469
83 868
237 658
166 544
306 478
Grand-Aides US $158 savings
per Ed visit, including cost of
program, US $
637 846
913 240
942 312
840 876
884 326
25 038 102
13 251 144
37 549 964
26 313 952
48 423 524
dual-eligible population, n
7000
14 000
17 000
29 000
15 000
402 000
385 000
449 000
756 000
1 386 000
Average Ed usage for
dual-eligible population 44%, n
3080
6160
7480
12 760
6600
176 880
169 400
197 560
332 640
609 840
Grand-Aides reduces Ed visits
by 37% (assume 50% of
opportunity of 74%), n
1139
2279
2767
4721
2442
65 445
62 678
73 097
123 076
225 640
Grand-Aides US $158 savings
per Ed visit, US $
180 057
360 113
437 280
745 918
385 836
10 340 310
9 903 124
11 549 357
19 446 134
35 651 246
Total Medicaid savings through
reduction in Ed visits, US $
817 903
1 273 353
1 379 592
1 586 794
1 270 162
35 378 412
23 154 268
49 099 321
45 760 086
84 074 770
50
45
34
45.54
50
38.9
43.82
50
50
408 951
573 772
475 131
722 625
635 081
13 762 202
21 515 322
22 880 043
42 037 385
Children as % of Medicaid
population
State share, %
State savings, US $
48
11 164 988
Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; nY, new York; PA, Pennsylvania; Sd, South dakota; TX, Texas; VT, Vermont; wY, wyoming.
data obtained from Garson et al8; MACPAC20; Cubanski et al22; and Gindi and Jones.21
Health Services Insights
68 000
Linder et al
Chartbook.24 Assuming that 50% of patients take their medication appropriately, an improvement to 75% adherence would
produce savings displayed in Table 3. These significant savings
also incorporate increased drug cost as a result of drug adherence. Importantly, those expenses are offset due to overall
reductions in health care expenditures for costly services such
as ED visits, hospital admissions, additional diagnostic testing,
and increased pharmacy expenses related to treatment. For
patients with hypertension, potential savings in the 10-state
sample equal US $2 billion; for heart failure, total savings equal
US $1.55 billion; for diabetes, US $1.17 billion; and for dyslipidemia, US $260 million. The potential cost savings for state
Medicaid range from US $5.2 million in Wyoming to US
$1 billion in California.
Reduction in Avoidable Hospitalizations
Assuming the Grand-Aides program would achieve 50%
reduction in hospital admissions, and calculating the cost of a
readmission based on US $15,435,25 the net savings to the
Medicaid program could range from US $3.4 million in
Wyoming to US $684 million in California, including the
expense of operating the Grand-Aides program (Table 4).26]
Reduction in Unnecessary Procedures
Assuming that paying physicians a salary plus bonus could result
in a 15% reduction in tests and procedures; in the 10-state sample (based on the 2016 Medicaid expenditure data),27 these
measures result in state savings ranging from US $3.4 million in
Wyoming to US $83.1 million in California (Table 5). Vermont
classifies most of the Medicaid expenditures as “other services”
so the state savings for this innovation are small, US $170 000.
Improved End-of-Life Care
About 21% of dual-eligible beneficiaries are in long-term services
and supportive living according to the 2017 MedPAC Databook.10
End-of-life care cost savings were estimated for each state by
applying a 25% increase in advance directives among this population with the estimated saving of US $5585 per directive. This
results in state savings ranging from US $1 million in Wyoming
to US $203 million in California (Table 6).
Discussion and Conclusions
Several caveats are important related to the estimated improved
adherence calculations: first, the savings are in the short term
(ie, hospital admissions over several years) and do not take into
account the cost of future disease if the current disease is wellcontrolled (eg, hypertension is well-controlled and a stroke is
avoided, only to have the patient get cancer). Second, there is
clear overlap in the patient diagnoses (ie, many patients with
diabetes have heart disease). Improvement (and medication
adherence) in one of these diagnoses will likely have a positive
effect on the other diseases in the patient and therefore these
are, again, maximal numbers. Personal reinforcement and
teaching are among the most promising approaches to
5
improving medication adherence, as the American Diabetes
Association recognizes and recommends.28 Programs such as
Grand-Aides with a 91% medication adherence could be
extremely beneficial.
Physician Payments
Although combining alternative physician payment models are
the basis for part of Medicare Access and CHIP Reauthorization
Act of 2015 (MACRA), it is unwieldy. In addition, there will
be added expenses as managed care companies and physicians
switch to a value-based payment system because the data infrastructure to track these metrics must be in place. These expenses
must be netted against potential savings (ie, paid to systems
and physicians) as the requirements for financial outlays are
real. This issue should be addressed through more sophisticated and interoperable Electronic Health Record (EHR) systems, which are, unfortunately, likely a decade away.
An alternative method to reduce unnecessary care would
be to examine the 20 most expensive procedures and tests
(because of high volume, high price, or both) and compare
the indications for the tests or procedures reported by the
ordering physician to national guidelines produced by the
physician’s specialty society. A recent such analysis revealed
that 34% of echocardiograms performed on preoperative
patients were unnecessary and were outside the recommended practice guidelines.29 We are recommending the
physician payment change because it could be achieved
more simply (eg, the MACRA regulations could provide an
incentive for programs in which at least 50% of their physicians are salaried).
These estimates do not take into account existing state programs that could have already achieved some of the savings.
The program overlap poses a significant limitation (ie, the
same savings may be attributed to more than one program), as
well. The data are likely to be correct within an order of magnitude; rather than focusing on the exact amounts, we suggest
that “large (say, 10%), medium (5%) and small (2.5%)” be
attached to the possible program savings and be made available
as a potential supplement to the cost-saving work already being
done by the state Medicaid programs.
We have examined a number of possible approaches to
reducing the expense of Medicaid. These savings should remain
in the Medicaid program and, for example, help to cover more
people and increase physician reimbursement. Increased reimbursements will enhance the number of physicians seeing
Medicaid patients, thus improving access for the underserved.
If all programs are implemented, the total financial benefit to
states ranges from US $11.8 million in Wyoming to US
$1.7 billion in California, as illustrated in Table 1. These 5 initiatives also could be applied to commercially insured patients
or those covered by Medicare, resulting in major savings across
the United States. Realizing these savings in achievable ways
suggested in this article could make a major dent in the rising
cost of health care.
6
Table 3. Savings calculations for improvement in drug adherence by dual eligibles, by disease category.
5 STATES wITH LOwEST MEdICAId EXPEndITUrES
wY
Total dual-eligible population
Sd
MT
VT
5 STATES wITH HIGHEST MEdICAId EXPEndITUrES
AK
FL
PA
TX
nY
CA
7000
14 000
17 000
29 000
15 000
402 000
385 000
449 000
756 000
1 386 000
60% of pop, n
4200
8400
10 200
17 400
9000
241 200
231 000
269 400
453 600
831 600
50% nonadherence, n
2100
4200
5100
8700
4500
120 600
115 500
134 700
226 800
415 800
4 103 400
8 206 800
9 965 400
16 999 800
8 793 000
235 652 400
225 687 000
263 203 800
443 167 200
812 473 200
1610
3220
3910
6670
3450
92 460
88 550
103 270
173 880
318 780
805
1610
1955
3335
1725
46 230
44 275
51 635
86 940
159 390
3 148 757
6 297 515
7 646 982
13 040 941
6 747 337
180 828 645
173 181 662
201 970 302
340 065 810
623 453 985
36% of pop, n
2520
5040
6120
10 440
5400
144 720
138 600
161 640
272 160
498 960
50% nonadherence, n
1260
2520
3060
5220
2700
72 360
69 300
80 820
136 080
249 480
2 366 280
4 732 560
5 746 680
9 803 160
5 070 600
135 892 080
130 145 400
151 779 960
255 558 240
468 523 440
40% of pop, n
2800
5600
6800
11 600
6000
160 800
154 000
179 600
302 400
554 400
50% nonadherence, n
1400
2800
3400
5800
3000
80 400
77 000
89 800
151 200
277 200
800 600
1 761 200
2 138 600
3 648 200
1 887 000
50 571 600
48 433 000
56 484 200
95 104 800
174 358 800
10 499 037
20 998 075
25 497 662
43 492 101
22 497 937
602 944 725
577 447 062
673 438 262
1 133 896 050
50
45.06
34.44
45.54
50
38.9
48.22
43.82
50
50
5 249 519
9 461 733
8 781 395
19 806 302
11 248 969
234 545 498
278 444 973
295 100 646
566 948 025
1 039 404 712
Hypertension
Savings with 75%
adherence at US $3908/
patient, US $
Heart failure
23% of pop, n
50% nonadherence, n
Savings with 75%
adherence at US $7823 per
patient, US $
diabetes
Savings with 75%
adherence at US $3756 per
patient, US $
dyslipidemia
Total savings
State share, %
State savings—FMAP 2017
contributions applied, US $
Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; nY, new York; PA, Pennsylvania; Sd, South dakota; TX, Texas; VT, Vermont; wY, wyoming.
data drawn from roebuck et al23 and Centers for Medicare and Medicaid Services.24
2 078 809 425
Health Services Insights
Savings with 75%
adherence at US $1258 per
patient, US $
Linder et al
Table 4. Savings calculations for reduction in hospital readmission costs for dual eligibles.
5 STATES wITH LOwEST MEdICAId EXPEndITUrES
wY
Sd
MT
VT
5 STATES wITH HIGHEST MEdICAId EXPEndITUrES
AK
FL
PA
TX
nY
CA
Full dual-eligible population, n
7000
14 000
17 000
29 000
15 000
402 000
385 000
449 000
756 000
1 386 000
dual-eligible hospitalization (27%), n
1890
3780
4590
7830
4050
108 540
103 950
121 230
204 120
374 220
Avoidable hospitalizations (26%), n
491
983
1193
2035
1053
28 220
27 027
31 519
53 071
97 297
Expense to Medicaid calculated at
US $15 667 per readmission, US $
7 692 497
15 400 661
18 702 661
31 882 345
16 497 351
442 122 740
423 432 009
493 808 173
831 463 357
1 524 352 099
Grand-Aides could reduce
readmissions by 50%, US $
3 846 248
7 700 330
9 351 330
15 941 172
8 248 675
221 061 370
211 716 004
246 904 086
415 731 678
762 176 049
Grand-Aides cost US $800 per
individual per year, applied to 26%
preventable hospital population,
US $
392 800
786 400
954 400
1 628 000
842 400
22 576 000
21 621 600
25 215 200
42 456 800
77 837 600
Calculated Medicaid savings, US $
3 453 448
6 913 930
8 396 930
14 313 172
7 406 275
198 485 370
190 094 404
221 688 886
373 274 878
684 338 449
50
45.06
34.44
45.54
50
38.9
48.22
43.82
50
50
1 726 724
3 116 799
2 891 902
6 518 218
3 703 137
77 210 808
91 663 521
97 144 069
186 637 439
342 169 224
State share, %
State savings, US $
Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; nY, new York; PA, Pennsylvania; Sd, South dakota; TX, Texas; VT, Vermont; wY, wyoming.
data drawn from Segal12; Garson26; and Fitch et al.25
7
8
Table 5. Savings calculations for reduction in unnecessary care with salaried physicians.
5 STATES wITH LOwEST MEdICAId EXPEndITUrES
5 STATES wITH HIGHEST MEdICAId EXPEndITUrES
wY, US $
Sd, US $
MT, US $
VT, US $
AK, US $
FL, US $
PA, US $
TX, US $
nY, US $
CA, US $
45 722 882
66 956 387
94 969 409
2 488 213
162 246 654
466 630 080
80 351 103
449 423 819
633 387 993
1 108 088 171
6 858 432
10 043 458
14 245 411
373 232
24 336 998
69 994 512
12 052 665
67 413 572
95 008 198
166 213 225
State share, %
50
45.06
34.44
45.54
50
38.9
48.22
43.82
50
50
State savings,
US $
3 429 216
4 525 582
4 906 119
170 011
12 168 499
27 227 865
5 811 795
29 540 627
47 504 099
83 106 612
Medicaid
physician, lab,
and X-ray, US $
15% savings
Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; nY, new York; PA, Pennsylvania; Sd, South dakota; TX, Texas; VT, Vermont; wY, wyoming.
data obtained from KFF as of January 2017, The structure of Vermont’s Medicaid program formulates most of the state’s Medicaid expenditures in the category of “Other Services.”
Table 6. Savings calculations for coordination of end-of-life care.
5 STATES wITH LOwEST MEdICAId EXPEndITUrES
wY
Sd
MT
VT
5 STATES wITH HIGHEST MEdICAId EXPEndITUrES
AK
FL
PA
TX
nY
CA
7000
14 000
17 000
29 000
15 000
402 000
385 000
449 000
756 000
1 386 000
21% in long-term
services and support, n
1470
2940
3570
6090
3150
84 420
80 850
94 290
158 760
291 060
2 052 487
4 104 975
4 984 612
8 500 370
4 398 187
117 871 425
112 886 812
131 652 412
221 668 650
406 392 525
50
45.06
34.44
45.54
50
38.9
48.22
43.82
50
50
1 026 243
1 849 701
1 714 706
3 871 068
2 199 093
45 851 984
54 434 020
57 690 086
110 834 325
203 196 262
with 25% increase in
advance directives at US
$5585 per patient, US $
State share, %
State savings, US $
Abbreviations: AK, Alaska; CA, California; FL, Florida; Id, Idaho; MT, Montana; nY, new York; PA, Pennsylvania; Sd, South dakota; TX, Texas; VT, Vermont; wY, wyoming.
data obtained from nicholas et al16 and The Medicare Payment Advisory Commission and the Medicaid and CHIP Payment and Access Commission.10
Health Services Insights
Full dual-eligible
population, n
Linder et al
9
Author Contributions
AG, original concept, design and intervention sections. KF,
data sampling and simulation method. KA, expanded data
gathering, analysis, results section. SHL, overall organization,
integration, discussion and conclusions.
13.
14.
15.
ORCID iD
Stephen H Linder
16.
https://orcid.org/0000-0003-1316-4496
17.
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