“What Data is Relevant to Insure or Not Insure”

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Presentation transcript:

“What Data is Relevant to Insure or Not Insure” California Rural Indian Health Board (CRIHB) For the Centers for Medicare & Medicaid Services (CMS) Tribal Affairs Group (TAG) under the guidance of the CMS Tribal Technical Advisory Group (TTAG)

Uninsured American Indians, With & Without IHS Coverage American Community Survey Survey with most Indians surveyed annually AI/AN Populations are small enough that currently only survey results at the state level are reliable Currently only have data from one year (2008) Next Year will have 3 years of data (2008-2010)

Health Care Coverage Information from American Community Survey

Uninsured Eligible for Health Insurance Exchange (HIE) Without cost-sharing: Household Incomes 139% to 300% of Poverty more reliable numbers with more years of data because of the low population of Indians

471,000 American Indians are uninsured With incomes 139% to 300% of Poverty In all states combined 177,000 with IHS Coverage 294,000 without

Age Distribution of these AI/AN with & without IHS

Gender Distribution of these AI/AN with & without IHS

Exchanges will develop state by state State numbers for American Indians vary

Numbers of the Uninsured vary greatly by state

Distributions vary by state: Age Groups with IHS ‘coverage’

Begin analysis for 12 IHS Areas

Number of Uninsured with Incomes 139 to 300% Poverty

Percent of the Uninsured with & without IHS ‘Coverage’

Area Results require at least 3 years of survey data To be reliable statistically Will begin analysis of 3 years of data at end of this year 2011

What other types of data do we need to decide to insure or not insure? james.crouch@crihb.net