Literature DB >> 30515027

Reducing the Cost of Medicaid: A Multistate Simulation.

Stephen H Linder1,2, Kimberly Aguillard1,2, Kelsey French3, Arthur Garson1.   

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 end-of-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.

Entities:  

Keywords:  Medicaid; dual-eligible beneficiaries; hospital readmissions

Year:  2018        PMID: 30515027      PMCID: PMC6262496          DOI: 10.1177/1178632918813311

Source DB:  PubMed          Journal:  Health Serv Insights        ISSN: 1178-6329


Introduction

According to the Institute of Medicine, 30% of dollars spent on health care is waste in the American medical system.[1] Berwick and Hackbarth[2] 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 billion[3]; 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 care spending, a framework Berwick and Hackbarth[2] 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.

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 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]

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]

To reduce avoidable hospitalization among dual eligibles

Dual-eligible 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-for-service (FFS) basis. Medicaid programs could propose new 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.

Advance directives

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 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.

Methods

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).
Table 1.

Overall proposed cost savings.

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 $
Salaried physicians for reduction in unnecessary care6 858 00010 043 00014 245 000373 00024 337 00069 995 00012 053 00067 414 00095 008 000166 213 000
Dual-eligible medication adherence program10 499 00020 998 00025 498 00043 492 00022 498 000602 945 000577 447 000673 438 0001 133 896 0002 078 809 000
End-of-life coordination of care2 052 0004 105 0004 985 0008 500 0004 398 000117 871 000112 887 000131 652 000221 669 000406 393 000
Reduction in avoidable dual-eligible hospital readmissions3 453 0006 914 0008 397 00014 313 0007 406 000198 485 000190 094 000221 689 000373 275 000684 338 000 
Emergency department visit reduction818 0001 273 0001 380 0001 587 0001 270 00035 378 00023 154 00049 099 00045 760 00084 075 000
Total cost savings to Medicaid23 680 00043 333 00054 505 00068 265 00059 909 0001 024 674 000915 635 0001 143 292 0001 869 608 0003 419 828 000

Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; NY, New York; PA, Pennsylvania; SD, South Dakota; TX, Texas; VT, Vermont; WY, Wyoming.

Overall proposed cost savings. Abbreviations: AK, Alaska; CA, California; FL, Florida; MT, Montana; NY, New York; PA, Pennsylvania; SD, South Dakota; TX, Texas; VT, Vermont; WY, Wyoming.

Results

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.

Reduction in Overutilization of EDs

Using a statistic of 24.8% of Medicaid children[21] 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).
Table 2.

Savings calculations for reduction in emergency department use for children and dual eligibles in Medicaid.

5 states with lowest Medicaid expenditures
5 states with highest Medicaid expenditures
WYSDMTVTAKFLPATXNYCA
Total Medicaid Pop (FY13, average monthly enrollment), n68 000107 000114 000170 000111 0003 386 0002 159 0004 081 0005 115 0009 307 000
Children as % of Medicaid population65595734555142633536
Children on Medicaid, n44 00063 00065 00058 00061 0001 727 000914 0002 590 0001 815 0003 340 000
Average ED use for Medicaid children 24.8%, n10 91215 62416 12014 38415 128428 296226 672642 320450 120828 320
Grand-Aides reduces ED visits by 37% (assume 50% of opportunity of 74%), n40375780596453225597158 46983 868237 658166 544306 478
Grand-Aides US $158 savings per ED visit, including cost of program, US $637 846913 240942 312840 876884 32625 038 10213 251 14437 549 96426 313 95248 423 524
Dual-eligible population, n700014 00017 00029 00015 000402 000385 000449 000756 0001 386 000
Average ED usage for dual-eligible population 44%, n30806160748012 7606600176 880169 400197 560332 640609 840
Grand-Aides reduces ED visits by 37% (assume 50% of opportunity of 74%), n1139227927674721244265 44562 67873 097123 076225 640
Grand-Aides US $158 savings per ED visit, US $180 057360 113437 280745 918385 83610 340 3109 903 12411 549 35719 446 13435 651 246
Total Medicaid savings through reduction in ED visits, US $817 9031 273 3531 379 5921 586 7941 270 16235 378 41223 154 26849 099 32145 760 08684 074 770
State share, %50453445.545038.94843.825050
State savings, US $408 951573 772475 131722 625635 08113 762 20211 164 98821 515 32222 880 04342 037 385

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 al[8]; MACPAC[20]; Cubanski et al[22]; and Gindi and Jones.[21]

Savings calculations for reduction in emergency department use for children and dual eligibles in Medicaid. 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 al[8]; MACPAC[20]; Cubanski et al[22]; and Gindi and Jones.[21]

Improved Medication Adherence

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 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.
Table 3.

Savings calculations for improvement in drug adherence by dual eligibles, by disease category.

5 states with lowest Medicaid expenditures
5 states with highest Medicaid expenditures
WYSDMTVTAKFLPATXNYCA
Total dual-eligible population700014 00017 00029 00015 000402 000385 000449 000756 0001 386 000
Hypertension
 60% of pop, n4200840010 20017 4009000241 200231 000269 400453 600831 600
 50% nonadherence, n21004200510087004500120 600115 500134 700226 800415 800
 Savings with 75% adherence at US $3908/patient, US $4 103 4008 206 8009 965 40016 999 8008 793 000235 652 400225 687 000263 203 800443 167 200812 473 200
Heart failure
 23% of pop, n1610322039106670345092 46088 550103 270173 880318 780
 50% nonadherence, n805161019553335172546 23044 27551 63586 940159 390
 Savings with 75% adherence at US $7823 per patient, US $3 148 7576 297 5157 646 98213 040 9416 747 337180 828 645173 181 662201 970 302340 065 810623 453 985
Diabetes
 36% of pop, n25205040612010 4405400144 720138 600161 640272 160498 960
 50% nonadherence, n1260252030605220270072 36069 30080 820136 080249 480
 Savings with 75% adherence at US $3756 per patient, US $2 366 2804 732 5605 746 6809 803 1605 070 600135 892 080130 145 400151 779 960255 558 240468 523 440
Dyslipidemia
 40% of pop, n28005600680011 6006000160 800154 000179 600302 400554 400
 50% nonadherence, n1400280034005800300080 40077 00089 800151 200277 200
 Savings with 75% adherence at US $1258 per patient, US $800 6001 761 2002 138 6003 648 2001 887 00050 571 60048 433 00056 484 20095 104 800174 358 800
Total savings10 499 03720 998 07525 497 66243 492 10122 497 937602 944 725577 447 062673 438 2621 133 896 0502 078 809 425
 State share, %5045.0634.4445.545038.948.2243.825050
 State savings—FMAP 2017 contributions applied, US $5 249 5199 461 7338 781 39519 806 30211 248 969234 545 498278 444 973295 100 646566 948 0251 039 404 712

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 al[23] and Centers for Medicare and Medicaid Services.[24]

Savings calculations for improvement in drug adherence by dual eligibles, by disease category. 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 al[23] and Centers for Medicare and Medicaid Services.[24]

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]]
Table 4.

Savings calculations for reduction in hospital readmission costs for dual eligibles.

5 states with lowest Medicaid expenditures
5 states with highest Medicaid expenditures
WYSDMTVTAKFLPATXNYCA
Full dual-eligible population, n700014 00017 00029 00015 000402 000385 000449 000756 0001 386 000
Dual-eligible hospitalization (27%), n18903780459078304050108 540103 950121 230204 120374 220
Avoidable hospitalizations (26%), n49198311932035105328 22027 02731 51953 07197 297
Expense to Medicaid calculated at US $15 667 per readmission, US $7 692 49715 400 66118 702 66131 882 34516 497 351442 122 740423 432 009493 808 173831 463 3571 524 352 099
Grand-Aides could reduce readmissions by 50%, US $3 846 2487 700 3309 351 33015 941 1728 248 675221 061 370211 716 004246 904 086415 731 678762 176 049
Grand-Aides cost US $800 per individual per year, applied to 26% preventable hospital population, US $392 800786 400954 4001 628 000842 40022 576 00021 621 60025 215 20042 456 80077 837 600
Calculated Medicaid savings, US $3 453 4486 913 9308 396 93014 313 1727 406 275198 485 370190 094 404221 688 886373 274 878684 338 449
State share, %5045.0634.4445.545038.948.2243.825050
State savings, US $1 726 7243 116 7992 891 9026 518 2183 703 13777 210 80891 663 52197 144 069186 637 439342 169 224

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 Segal[12]; Garson[26]; and Fitch et al.[25]

Savings calculations for reduction in hospital readmission costs for dual eligibles. 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 Segal[12]; Garson[26]; and Fitch et al.[25]

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.
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 $
Medicaid physician, lab, and X-ray, US $45 722 88266 956 38794 969 4092 488 213162 246 654466 630 08080 351 103449 423 819633 387 9931 108 088 171
15% savings6 858 43210 043 45814 245 411373 23224 336 99869 994 51212 052 66567 413 57295 008 198166 213 225
State share, %5045.0634.4445.545038.948.2243.825050
State savings, US $3 429 2164 525 5824 906 119170 01112 168 49927 227 8655 811 79529 540 62747 504 09983 106 612

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.”

Savings calculations for reduction in unnecessary care with salaried physicians. 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.”

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).
Table 6.

Savings calculations for coordination of end-of-life care.

5 states with lowest Medicaid expenditures
5 states with highest Medicaid expenditures
WYSDMTVTAKFLPATXNYCA
Full dual-eligible population, n700014 00017 00029 00015 000402 000385 000449 000756 0001 386 000
21% in long-term services and support, n1470294035706090315084 42080 85094 290158 760291 060
With 25% increase in advance directives at US $5585 per patient, US $2 052 4874 104 9754 984 6128 500 3704 398 187117 871 425112 886 812131 652 412221 668 650406 392 525
State share, %5045.0634.4445.545038.948.2243.825050
State savings, US $1 026 2431 849 7011 714 7063 871 0682 199 09345 851 98454 434 02057 690 086110 834 325203 196 262

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 al[16] and The Medicare Payment Advisory Commission and the Medicaid and CHIP Payment and Access Commission.[10]

Savings calculations for coordination of end-of-life care. 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 al[16] and The Medicare Payment Advisory Commission and the Medicaid and CHIP Payment and Access Commission.[10]

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 well-controlled (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 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.
  15 in total

1.  Medication adherence: WHO cares?

Authors:  Marie T Brown; Jennifer K Bussell
Journal:  Mayo Clin Proc       Date:  2011-03-09       Impact factor: 7.616

2.  The first decade of appropriate use criteria: is the glass half empty or half full?

Authors:  Todd D Miller; J Wells Askew
Journal:  J Am Coll Cardiol       Date:  2015-03-03       Impact factor: 24.094

3.  Medication adherence leads to lower health care use and costs despite increased drug spending.

Authors:  M Christopher Roebuck; Joshua N Liberman; Marin Gemmill-Toyama; Troyen A Brennan
Journal:  Health Aff (Millwood)       Date:  2011-01       Impact factor: 6.301

4.  Urgent Care and Emergency Department Visits in the Pediatric Medicaid Population.

Authors:  Amanda Montalbano; Jonathan Rodean; Juhi Kangas; Brian Lee; Matt Hall
Journal:  Pediatrics       Date:  2016-03-15       Impact factor: 7.124

Review 5.  Capitation, salary, fee-for-service and mixed systems of payment: effects on the behaviour of primary care physicians.

Authors:  T Gosden; F Forland; I S Kristiansen; M Sutton; B Leese; A Giuffrida; M Sergison; L Pedersen
Journal:  Cochrane Database Syst Rev       Date:  2000

6.  Use of advance directives in long-term care populations.

Authors:  Adrienne L Jones; Abigail J Moss; Lauren D Harris-Kojetin
Journal:  NCHS Data Brief       Date:  2011-01

7.  Regional variation in the association between advance directives and end-of-life Medicare expenditures.

Authors:  Lauren Hersch Nicholas; Kenneth M Langa; Theodore J Iwashyna; David R Weir
Journal:  JAMA       Date:  2011-10-05       Impact factor: 56.272

8.  Clinical Practice Guidelines Decrease Unnecessary Echocardiograms Before Hip Fracture Surgery.

Authors:  Chris Adair; Eric Swart; Rachel Seymour; Joshua Patt; Madhav A Karunakar
Journal:  J Bone Joint Surg Am       Date:  2017-04-19       Impact factor: 5.284

9.  Promoting advance directives among elderly primary care patients.

Authors:  Lawrence S Wissow; Amy Belote; Wade Kramer; Amy Compton-Phillips; Robert Kritzler; Jonathan P Weiner
Journal:  J Gen Intern Med       Date:  2004-09       Impact factor: 5.128

10.  A new corps of trained Grand-Aides has the potential to extend reach of primary care workforce and save money.

Authors:  Arthur Garson; Donna M Green; Lia Rodriguez; Richard Beech; Christopher Nye
Journal:  Health Aff (Millwood)       Date:  2012-05       Impact factor: 6.301

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1.  Re-Validation of the COmprehensive Score for Financial Toxicity (COST): Assessing the Scale's Utility in Chronic Disease Populations.

Authors:  G Pavela; M Fifolt; S E Tison; M Allison; B S Burton; E W Ford
Journal:  Health Serv Insights       Date:  2021-12-10
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