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Medicaid Managed Care - U.S. Senate Special Committee on Aging

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668<br />

Sources Ash A, Porell F, Gruenberg Let al: Adjusting Medicare capizati<strong>on</strong><br />

payments using prior hospitalizati<strong>on</strong> data. Health <str<strong>on</strong>g>Care</str<strong>on</strong>g> Financing<br />

Review. 10:17-S0, 1989.<br />

3. Disabilty Payment System (DPS)<br />

Ellis RP, Pope GC, lezz<strong>on</strong>i LI, Ayanian JZ, Bates DW, Burstin H.<br />

Ash AS: Diagnosis-based risk adjustment for Medicare capitati<strong>on</strong><br />

payments. Health <str<strong>on</strong>g>Care</str<strong>on</strong>g> Financing Review. 17:101-128, 1996.<br />

Ellis RP, Ash A: Refining the diagnostic cost group model: a<br />

proposed modifcati<strong>on</strong> to the AAPCCfor HMO reimbursement.<br />

Report prepared under HCFA Cooperative Agreement No. 18-C-<br />

98526/1-03. Bost<strong>on</strong> University, 1988.<br />

Purpose Capitati<strong>on</strong> and risk adjustment for disabled <str<strong>on</strong>g>Medicaid</str<strong>on</strong>g> recipients<br />

Predictors Diagnosis, age, and gender<br />

Method Classificati<strong>on</strong> system based <strong>on</strong> groups of diagnoses that are associated<br />

with elevated future costs. These are divided into 18 major<br />

categories that corresp<strong>on</strong>d to either body system or specific types of<br />

illness or disability. These 18 categories are divided into 43<br />

subcategories according to degree of elevated future costs (high,<br />

medium, and low cost).<br />

Testing and Use Claims data for disabled <str<strong>on</strong>g>Medicaid</str<strong>on</strong>g> SSI recipients in Ohio and<br />

Missouri and then tested <strong>on</strong> <str<strong>on</strong>g>Medicaid</str<strong>on</strong>g> claims data from Colorado,<br />

Michigan, and New York. Colorado and Missouri are planning to<br />

use this method. Maryland, Massachusetts, Minnesota, and<br />

Washingt<strong>on</strong> are also c<strong>on</strong>sidering it.<br />

Strengths * Individuals can be classified into more than <strong>on</strong>e group.<br />

* Adjusts for degree of elevated costs.<br />

* Data to implement DPS are available.<br />

limits * Developed originally for SSI adults, now being applied to SSI<br />

adults and children, and AFDC populati<strong>on</strong>s.<br />

* Less serious diagnoses associated with lower future costs were<br />

excluded from the system.<br />

19

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