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Long-term Forecast of Medicaid Enrollment Spending in Alaska:

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Summary <strong>of</strong> Methodology<br />

S<strong>in</strong>ce the federal government will be shift<strong>in</strong>g a larger share <strong>of</strong> the cost <strong>of</strong> <strong>Alaska</strong>’s<br />

<strong>Medicaid</strong> program back to the state 5, <strong>Medicaid</strong> spend<strong>in</strong>g from general funds and<br />

other non-federal funds is projected to grow at 8.6 percent annually from 2009 to<br />

2018.<br />

Summary <strong>of</strong> Methodology<br />

The MESA forecast<strong>in</strong>g model has multiple, l<strong>in</strong>ked components, which<br />

successively build upon each other. The first step <strong>in</strong> develop<strong>in</strong>g the model is the<br />

distribution <strong>of</strong> the long-<strong>term</strong> population projections developed by the <strong>Alaska</strong><br />

Department <strong>of</strong> Labor and Workforce Development <strong>in</strong>to <strong>in</strong>dividual forecasts for<br />

regional and demographic subgroups. The next step is project<strong>in</strong>g enrollment for<br />

each demographic group based on historical trends. Logistic regression models<br />

<strong>of</strong> historic enrollee-level claim data are then developed to estimate the<br />

probability that a <strong>Medicaid</strong> enrollee will use a <strong>Medicaid</strong> service. F<strong>in</strong>ally, total<br />

spend<strong>in</strong>g by service category and demographic group is projected, from which<br />

state general fund spend<strong>in</strong>g is allocated based on known and projected future<br />

federal f<strong>in</strong>ancial participation rates. 6<br />

Throughout the analysis, we rely upon the best available <strong>in</strong>formation, <strong>in</strong>clud<strong>in</strong>g<br />

historic <strong>Medicaid</strong> claim data, the state <strong>of</strong> <strong>Alaska</strong>’s <strong>of</strong>ficial population forecast,<br />

and nationally recognized <strong>in</strong>formation on trends <strong>in</strong> medical prices. In no <strong>in</strong>stance<br />

do we impose any speculation on future <strong>Medicaid</strong> policies or procedures. Rather,<br />

we develop the long-<strong>term</strong> forecast as if the policies and practices <strong>of</strong> today will be<br />

the status quo throughout the forecast period.<br />

The ma<strong>in</strong> factors responsible for growth <strong>in</strong> state spend<strong>in</strong>g on <strong>Medicaid</strong> services<br />

are<br />

Growth <strong>in</strong> <strong>Alaska</strong>’s resident population and changes <strong>in</strong> demographic<br />

composition;<br />

Changes <strong>in</strong> the <strong>Medicaid</strong> enrollment rate;<br />

Changes <strong>in</strong> the use <strong>of</strong> <strong>Medicaid</strong> services by <strong>Medicaid</strong> enrollees;<br />

Personal health services specific price <strong>in</strong>flation; and<br />

Changes <strong>in</strong> federal f<strong>in</strong>ancial participation.<br />

Our methodology entails detailed analysis <strong>of</strong> each <strong>of</strong> these factors to formulate a<br />

series <strong>of</strong> statistical models to project total and state spend<strong>in</strong>g on <strong>Medicaid</strong><br />

5 The costs will be shifted back to the state because <strong>of</strong> a lower Federal Medical Assistance<br />

Percentage. Stimulus funds from the American Recovery and Re<strong>in</strong>vestment Act <strong>of</strong> 2009 are<br />

currently set to expire <strong>in</strong> December 2010. See the State <strong>Spend<strong>in</strong>g</strong> section.<br />

6 For detailed <strong>in</strong>formation on the development <strong>of</strong> the MESA forecast, please see “<strong>Long</strong> Term<br />

<strong>Forecast</strong> <strong>of</strong> <strong>Medicaid</strong> <strong>Enrollment</strong> and <strong>Spend<strong>in</strong>g</strong> <strong>in</strong> <strong>Alaska</strong>: 2005-2025”.<br />

<strong>Long</strong> Term <strong>Forecast</strong> <strong>of</strong> <strong>Medicaid</strong> <strong>Enrollment</strong> and <strong>Spend<strong>in</strong>g</strong> <strong>in</strong> <strong>Alaska</strong>: 2009‐2029<br />

5

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