Medicaid Managed Care - U.S. Senate Special Committee on Aging
Medicaid Managed Care - U.S. Senate Special Committee on Aging Medicaid Managed Care - U.S. Senate Special Committee on Aging
Results in Brief B-Z70335 384 managed care programs and on state efforts to (I) ensure
8-27033= 385 A number of these states requirements aim to ensure managed care plans develop and maintain provider networks that are sufficient to meet the needs of
- Page 336 and 337: Table 1.2: Comparison of Ma
- Page 338 and 339: Objectives, Scope, and Methodology
- Page 340 and 341: 338 Chapter 2 States Are Moving Tow
- Page 342 and 343: Table 21 nEnollmen of Disabled Bene
- Page 344 and 345: 342 chona Se. As To~ed Id C"fn, Dai
- Page 346 and 347: Table a& Eabent to Which 17 State I
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- Page 350 and 351: Table 2.5: Extent to Which 17 State
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- Page 356 and 357: Addressing Concerns Through Enrollm
- Page 358 and 359: Assignment Active Management of a D
- Page 360 and 361: 358 fo.V D Axd B ref .Ak,.d - CC-e
- Page 362 and 363: Targeted Quality-of-Care</s
- Page 364 and 365: Encounter Data Analysis Shows Poten
- Page 366 and 367: 364 Chapter 4 Risk-Adjusted Rates a
- Page 368 and 369: 366 Cu.pd 4 Rk-A4tAjLd Row Ad RIASW
- Page 370 and 371: States Could Experience Adverse Sel
- Page 372 and 373: 370 Ckspt. 4 JUek-Mtod Rate Wd HIa
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- Page 376 and 377: 374 Coob,, 4 RkikAdjned Rtr -d Rub-
- Page 378 and 379: 376 rued R.I. . 2".shBd c- provider
- Page 380 and 381: 378 c-5 Obh- .. I, Co.eWda, ad CHe
- Page 382 and 383: 380 Ob-e-eU-o, Co-ded, end C-ost pr
- Page 384 and 385: 382 United States General Accountin
- Page 388 and 389: B-2Kn0 386 assess service utilizati
- Page 390 and 391: Table 1: Characteristics of <strong
- Page 392 and 393: B-27035 390 numbers of patients. In
- Page 394 and 395: B-270335 392 number of primary care
- Page 396 and 397: B-Z7Oa33 394 developed on the premi
- Page 398 and 399: States Challenged to Develop Effect
- Page 400 and 401: B-270335 398 that beneficiary use o
- Page 402 and 403: B.270335 400 of the care provided a
- Page 404 and 405: States Could Learn More From Improv
- Page 406 and 407: Targeted Analyses of Grievance Data
- Page 408 and 409: Observations Agency Comments and Ou
- Page 410 and 411: B-270335 408 Finally, the experts w
- Page 412 and 413: 410 Appendix I Scope and Methodolog
- Page 414 and 415: - I 412 App-edU I Sw Wd Methodology
- Page 416 and 417: 414 AppeAdt U Fedo.I aod Stt. Ove0s
- Page 418 and 419: 416 Appendix III Major Contributors
- Page 420 and 421: GAO July 1996 GAO/HEHS-96-120 418 U
- Page 422 and 423: B-26632 420 family home, rather tha
- Page 424 and 425: Background 1-206320 422 traditional
- Page 426 and 427: States Use Waivers to Expand and Ch
- Page 428 and 429: 84=20 426 Figure 1: Staftes Use of
- Page 430 and 431: B-266320 428 began the 1990s with s
- Page 432 and 433: B26320 430 variety of other service
- Page 434 and 435: Enrollment Caps and Management Prac
8-27033=<br />
385<br />
A number of these states requirements aim to ensure managed care plans<br />
develop and maintain provider networks that are sufficient to meet the<br />
needs of <str<strong>on</strong>g>Medicaid</str<strong>on</strong>g> beneficiaries. Some are criteri<strong>on</strong>-based. such as<br />
patient-to-primary-care-physician ratios. For example, two states required<br />
that plans not exceed a maximum patient-to-primary-care-physician ratio<br />
of 2.500 to 1. Compliance with such a requirement, however, does not<br />
necessarily dem<strong>on</strong>strate that a network is sufficient to meet the needs of<br />
<str<strong>on</strong>g>Medicaid</str<strong>on</strong>g> beneficiaries. Patient-to-primary-care-physician ratios generally<br />
do not c<strong>on</strong>sider the number of networks a primary care physician<br />
participates in or a physician's capacity or willingness to see <str<strong>on</strong>g>Medicaid</str<strong>on</strong>g><br />
patients. Of the states that we visited, <strong>on</strong>ly Ariz<strong>on</strong>a required physicians to<br />
report their work load in full-time-equivalent terms and identified primary<br />
care physicians who participate in more than <strong>on</strong>e plan and could be<br />
counted more than <strong>on</strong>ce. The four states also require plans to provide a<br />
full range of specialty services, even if this means beneficiaries must be<br />
referred to providers outside the plan's network. However, because there<br />
are no established standards for specialists, these states have not specified<br />
the types and numbers of specialists to include in plan networks, making it<br />
difficult for these states to measure the adequacy of plan specialist<br />
networks before awarding a c<strong>on</strong>tract. Once plans have a c<strong>on</strong>tract, states<br />
can m<strong>on</strong>itor the numbers and types of specialists participating in the<br />
network, but this does not necessarily indicate whether beneficiaries<br />
actually gain access to specialty care when they need it.<br />
Given the difficulties associated with gauging the adequacy of a provider<br />
network, the four states that we visited have taken additi<strong>on</strong>al steps to<br />
assess the adequacy of the medical care that beneficiaries enrolled in<br />
managed care receive. For example, each state has looked at aggregated<br />
statistics <strong>on</strong> the use of specific services. Some have found that, compared<br />
with fee-for-service, <str<strong>on</strong>g>Medicaid</str<strong>on</strong>g> managed care recipients were more likely to<br />
receive certain preventive and diagnostic services, such as childhood<br />
immunizati<strong>on</strong>s and cancer screenings. Ariz<strong>on</strong>a. Tennessee. and<br />
Pennsylvania also have invested in developing encounter data-the<br />
individual-level data <strong>on</strong> all services provided to all patients. Encounter<br />
data can enable states to c<strong>on</strong>duct their own analyses <strong>on</strong> a wider array of<br />
services than is possible using aggregated statistics. These analyses allow<br />
states to examine patterns of care across plans, such as differences in<br />
service delivery by selected types of services, beneficiary groups, and<br />
providers. To date, Ariz<strong>on</strong>a has made the most use of its encounter data,<br />
including using them as the state begins to develop quality indicators.<br />
Tennessee's early efforts primarily focused <strong>on</strong> developing and validating<br />
its encounter data; more recently, the state has begun to use these data to<br />
Pagv 3<br />
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